Human-Computer dialogue systems provide a natural language based interface between human and computers. They are widely demanded in network information services, intelligent accompanying robots, and so on. A Human-Com...Human-Computer dialogue systems provide a natural language based interface between human and computers. They are widely demanded in network information services, intelligent accompanying robots, and so on. A Human-Computer dialogue system typically consists of three parts, namely Natural Language Understanding （NLU）, Dialogue Management （DM） and Natural Language Generation （NLG）. Each part has several different subtasks. Each subtask has been received lots of attentions, many improvements have been achieved on each subtask, respectively. But systems built in traditional pipeline way, where different subtasks are assembled sequently, suffered from some problems such as error accu- mulation and expanding, domain transferring. Therefore, researches on jointly modeling several subtasks in one part or cross different parts have been prompted greatly in recent years, especially the rapid developments on deep neural networks based joint models. There is even a few work aiming to integrate all subtasks of a dialogue system in a single model, namely end-to-end models. This paper introduces two basic frames of current dialogue systems and gives a brief survey on recent advances on variety subtasks at first, and then focuses on joint models for multiple subtasks of dialogues. We review several different joint models including integration of several subtasks inside NLU or NLG, jointly modeling cross NLG and DM, and jointly modeling through NLU, DM and NLG. Both advantages and problems of those joint models are discussed. We consider that the joint models, or end-to-end models, will be one important trend for developing Human-Computer dialogue systems.展开更多
Existing rehabilitation exoskeleton robots suffer from poor compatibility with the human limb coupling method,large internal power loss,and poor wearable performance,which seriously affect the rehabilitation ability o...Existing rehabilitation exoskeleton robots suffer from poor compatibility with the human limb coupling method,large internal power loss,and poor wearable performance,which seriously affect the rehabilitation ability of these robots.Therefore,this study proposes a variable stiffness humancomputer interaction contact unit module(VSHCUM)based on the granular jamming mechanism.It is characterized by a double-layer chamber structure:the inner layer is a granular chamber,and the outer layer is an air chamber.The interaction force is transmitted by embedding a rigid support in the inner layer.Unlike the common flexible-belt interactive contact unit,when the exoskeleton is bound to the patient's limb,vSHCUM can realize adaptive fitting of the patient's limb shape using the pressure change in the double-chamber structure.Simultaneously,by adjusting the vacuum level of the granular chamber,the stiffness of the interactive contact unit can be adjusted by a factor of more than five,and the internal work loss caused by self-pulling deformation during the auxiliary force transfer process can be reduced.展开更多
Multimodal dialogue systems often fail to maintain coherent reasoning over extended conversations and suffer from hallucination due to limited context modeling capabilities.Current approaches struggle with crossmodal ...Multimodal dialogue systems often fail to maintain coherent reasoning over extended conversations and suffer from hallucination due to limited context modeling capabilities.Current approaches struggle with crossmodal alignment,temporal consistency,and robust handling of noisy or incomplete inputs across multiple modalities.We propose Multi Agent-Chain of Thought(CoT),a novel multi-agent chain-of-thought reasoning framework where specialized agents for text,vision,and speech modalities collaboratively construct shared reasoning traces through inter-agent message passing and consensus voting mechanisms.Our architecture incorporates self-reflection modules,conflict resolution protocols,and dynamic rationale alignment to enhance consistency,factual accuracy,and user engagement.The framework employs a hierarchical attention mechanism with cross-modal fusion and implements adaptive reasoning depth based on dialogue complexity.Comprehensive evaluations on Situated Interactive Multi-Modal Conversations(SIMMC)2.0,VisDial v1.0,and newly introduced challenging scenarios demonstrate statistically significant improvements in grounding accuracy(p<0.01),chain-of-thought interpretability,and robustness to adversarial inputs compared to state-of-the-art monolithic transformer baselines and existing multi-agent approaches.展开更多
On February 5, the Dialogue on Building a China-Laos Community with a Shared Future, themed “Focusing on the ‘Action Plan,’ Creating a Better Future Together,” took place in Vientiane, Laos.The opening ceremony fe...On February 5, the Dialogue on Building a China-Laos Community with a Shared Future, themed “Focusing on the ‘Action Plan,’ Creating a Better Future Together,” took place in Vientiane, Laos.The opening ceremony featured speeches by several distinguished vips including Fang Hong, Chinese ambassador to Laos, Daosavanh Kheugmixai, vice president of the Lao National Academy of Politics and Public Administration, Yu Yunquan, vice president of the China International Communications Group (CICG),Sakhon Phommalat, deputy head of the Propaganda and Training Board of the Lao People’s Revolutionary Party (LPRP) Central Committee, Sun Jisheng, vice president of China Foreign Affairs University (CFAU),and Vadthuninyom Duangmala,president of the Diplomatic Academy of Laos.展开更多
The“Forward Together”Dialogue on Building a China-Brunei Community with a Shared Future was held on the morning of February 7 at Universiti Brunei Darussalam(UBD)in Bandar Seri Begawan.Scheduled for the lead-up to t...The“Forward Together”Dialogue on Building a China-Brunei Community with a Shared Future was held on the morning of February 7 at Universiti Brunei Darussalam(UBD)in Bandar Seri Begawan.Scheduled for the lead-up to the 35th anniversary of diplomatic relations between China and Brunei in 2026,the event aimed to deepen strategic mutual trust,build broader consensus on cooperation,and generate both intellectual momentum and practical proposals for advancing a closer China-Brunei community with a shared future.展开更多
Oral expression skills play an essential role in the development of EFL students’language abilities,and how to improve EFL students’oral expression skills is an essential and challenging task.This study adopts a qua...Oral expression skills play an essential role in the development of EFL students’language abilities,and how to improve EFL students’oral expression skills is an essential and challenging task.This study adopts a quasi-experimental research method to carry out the research and proposes an AI-based reflective dialogue model.Based on this,an analysis of the impact brought by this model on EFL students’oral expression performance and learning anxiety levels.The results show that students in the experimental group have significantly higher oral expression performance than those in the control group in the three dimensions of grammatical accuracy,expressive fluency,and word accuracy.In addition,the students in the experimental group produced facilitated anxiety after using the AI-based reflective dialogue model for oral expression learning,which prompted the students to learn more diligently.展开更多
In recent years,railway construction in China has developed vigorously.With continuous improvements in the highspeed railway network,the focus is gradually shifting from large-scale construction to large-scale operati...In recent years,railway construction in China has developed vigorously.With continuous improvements in the highspeed railway network,the focus is gradually shifting from large-scale construction to large-scale operations.However,several challenges have emerged within the high-speed railway dispatching and command system,including the heavy workload faced by dispatchers,the difficulty of quantifying subjective expertise,and the need for effective training of professionals.Amid the growing application of artificial intelligence technologies in railway systems,this study leverages Large Language Model(LLM)technology.LLMs bring enhanced intelligence,predictive capabilities,robust memory,and adaptability to diverse real-world scenarios.This study proposes a human-computer interactive intelligent scheduling auxiliary training system built on LLM technology.The system offers capabilities including natural dialogue,knowledge reasoning,and human feedback learning.With broad applicability,the system is suitable for vocational education,guided inquiry,knowledge-based Q&A,and other training scenarios.Validation results demonstrate its effectiveness in auxiliary training,providing substantial support for educators,students,and dispatching personnel in colleges and professional settings.展开更多
The Fourth Dialogue on Exchanges and Mutual Learning Among Civilisations was held in Dunhuang in Northwest China's Gansu Province on Friday,bringing together politicians,heads of international organisations,schola...The Fourth Dialogue on Exchanges and Mutual Learning Among Civilisations was held in Dunhuang in Northwest China's Gansu Province on Friday,bringing together politicians,heads of international organisations,scholars and experts to discuss the significance of exchanges and dialogues between different civilisations in a world facing many conflicts.展开更多
In task-oriented dialogue systems, intent, emotion, and actions are crucial elements of user activity. Analyzing the relationships among these elements to control and manage task-oriented dialogue systems is a challen...In task-oriented dialogue systems, intent, emotion, and actions are crucial elements of user activity. Analyzing the relationships among these elements to control and manage task-oriented dialogue systems is a challenging task. However, previous work has primarily focused on the independent recognition of user intent and emotion, making it difficult to simultaneously track both aspects in the dialogue tracking module and to effectively utilize user emotions in subsequent dialogue strategies. We propose a Multi-Head Encoder Shared Model (MESM) that dynamically integrates features from emotion and intent encoders through a feature fusioner. Addressing the scarcity of datasets containing both emotion and intent labels, we designed a multi-dataset learning approach enabling the model to generate dialogue summaries encompassing both user intent and emotion. Experiments conducted on the MultiWoZ and MELD datasets demonstrate that our model effectively captures user intent and emotion, achieving extremely competitive results in dialogue state tracking tasks.展开更多
Dialogue State Tracking(DST)is a critical component of task-oriented spoken dialogue systems(SDS),tasked with maintaining an accurate representation of the conversational state by predicting slots and their correspond...Dialogue State Tracking(DST)is a critical component of task-oriented spoken dialogue systems(SDS),tasked with maintaining an accurate representation of the conversational state by predicting slots and their corresponding values.Recent advances leverage Large Language Models(LLMs)with prompt-based tuning to improve tracking accuracy and efficiency.However,these approaches often incur substantial computational and memory overheads and typically address slot extraction implicitly within prompts,without explicitly modeling the complex dependencies between slots and values.In this work,we propose PUGG,a novel DST framework that constructs schema-driven prompts to fine-tune GPT-2 and utilizes its tokenizer to implement a memory encoder.PUGG explicitly extracts slot values via GPT-2 and employs Graph Attention Networks(GATs)to model and reason over the intricate relationships between slots and their associated values.We evaluate PUGG on four publicly available datasets,where it achieves stateof-the-art performance across multiple evaluation metrics,highlighting its robustness and generalizability in diverse conversational scenarios.Our results indicate that the integration of GPT-2 substantially reduces model complexity and memory consumption by streamlining key processes.Moreover,prompt tuning enhances the model’s flexibility and precision in extracting relevant slot-value pairs,while the incorporation of GATs facilitates effective relational reasoning,leading to improved dialogue state representations.展开更多
With the rapid development of artificial intelligence technology,AIGC(Artificial Intelligence-Generated Content)has triggered profound changes in the field of high-level language programming courses.This paper deeply ...With the rapid development of artificial intelligence technology,AIGC(Artificial Intelligence-Generated Content)has triggered profound changes in the field of high-level language programming courses.This paper deeply explored the application principles,advantages,and limitations of AIGC in intelligent code generation,analyzed the new mode of human-computer collaboration in high-level language programming courses driven by AIGC,discussed the impact of human-computer collaboration on programming efficiency and code quality through practical case studies,and looks forward to future development trends.This research aims to provide theoretical and practical guidance for high-level language programming courses and promote innovative development of high-level language programming courses under the human-computer collaboration paradigm.展开更多
Flipped is a book written by American author Wendelin Van Draanen. It is a novel about young teenagers and was adapted into the famous film of the same name in 2010. The thesis employs speech acts, as pioneered by Joh...Flipped is a book written by American author Wendelin Van Draanen. It is a novel about young teenagers and was adapted into the famous film of the same name in 2010. The thesis employs speech acts, as pioneered by John Austin and further developed by John Searle, to investigate the influence of dialogues on characterization and plot development in Flipped. By exploring the theory of speech acts presented in dialogues between characters, the author deciphers the underlying intentions embodied in the dialogues and demonstrates the importance of the use of speech acts in dialogues in revealing the characters, driving the development of the plot and expressing the theme of the text.展开更多
The shop floor dynamic scheduling system based on human-computer interaction is the use of computer-aided decision-making and human-computer interaction to solve the dynamic scheduling problem.A human-computer interac...The shop floor dynamic scheduling system based on human-computer interaction is the use of computer-aided decision-making and human-computer interaction to solve the dynamic scheduling problem.A human-computer interaction interface based on Gantt chart is designed,which can not only comprehensively and quantitatively represent the scheduling process and scheduling scheme,but also have friendly human-computer interaction performance.The data transmission and interaction architecture is constructed to realize the rapid response to shop floor disturbance events.A priority calculation algorithm integrating priority rules and dispatcher preference is proposed,which realizes the automatic calculation of priority for the dispatcher's reference and reduces theirburden.A man-machine interactive shop floor dynamic scheduling strategy is proposed.When solving the dynamic flexible job shop scheduling problem caused by machine tool breakdown and urgent order,the origin moments obtained by using this strategy are 0.4190 and 0.3703 respectively.As can be seen from the origin moment indicator,the dynamic shop floor scheduling system based on the human-computer interaction is efficient and reliable in solving dynamic scheduling problems,and related strategies of this system are also feasible and stable.展开更多
Relation extraction plays a crucial role in numerous downstream tasks.Dialogue relation extraction focuses on identifying relations between two arguments within a given dialogue.To tackle the problem of low informatio...Relation extraction plays a crucial role in numerous downstream tasks.Dialogue relation extraction focuses on identifying relations between two arguments within a given dialogue.To tackle the problem of low information density in dialogues,methods based on trigger enhancement have been proposed,yielding positive results.However,trigger enhancement faces challenges,which cause suboptimal model performance.First,the proportion of annotated triggers is low in DialogRE.Second,feature representations of triggers and arguments often contain conflicting information.In this paper,we propose a novel Multi-Feature Filtering and Fusion trigger enhancement approach to overcome these limitations.We first obtain representations of arguments,and triggers that contain rich semantic information through attention and gate methods.Then,we design a feature filtering mechanism that eliminates conflicting features in the encoding of trigger prototype representations and their corresponding argument pairs.Additionally,we utilize large language models to create prompts based on Chain-of-Thought and In-context Learning for automated trigger extraction.Experiments show that our model increases the average F1 score by 1.3%in the dialogue relation extraction task.Ablation and case studies confirm the effectiveness of our model.Furthermore,the feature filtering method effectively integrates with other trigger enhancement models,enhancing overall performance and demonstrating its ability to resolve feature conflicts.展开更多
Quantum dialogue(QD)realizes the real-time secure bidirectional quantum communication.Measurement-deviceindependent(MDI)QD can resist all possible attacks focusing on the imperfect measurement devices and enhance QD’...Quantum dialogue(QD)realizes the real-time secure bidirectional quantum communication.Measurement-deviceindependent(MDI)QD can resist all possible attacks focusing on the imperfect measurement devices and enhance QD’s practical security.However,in practical applications,any secure communication requires identity authentication as a prerequisite.In this paper,we propose an MDI QD protocol with bidirectional identity authentication.The practical communication parties can first authenticate the identity of each other simultaneously before the message exchange.In theory,our MDI QD protocol has unconditional security and the communication parties can exchange 1.5 bits of messages in each communication round with linear optical Bell state measurement.We numerically simulate the secrecy message capacity of our MDI QD protocol.Our protocol has two advantages.First,it can effectively resist the impersonation attack and enhance MDI QD’s practical security.Second,it does not require keys to assist the message exchange and has relatively high efficiency.Our protocol has application potential in the future quantum communication field.展开更多
Agroup of young representatives and scholars from more than 10 foreign countries had great fun collecting water samples from the Grand Canal in Sanwan Park,Yangzhou City,east China’s Jiangsu Province,on June 3,2025.T...Agroup of young representatives and scholars from more than 10 foreign countries had great fun collecting water samples from the Grand Canal in Sanwan Park,Yangzhou City,east China’s Jiangsu Province,on June 3,2025.The samples were poured into a“pot of civilization,”which symbolized the integration of cultures.In addition to the canal,the young people also visited places such as Yangzhou University,China Grand Canal Museum,and the Slender West Lake,learning the culture of the Grand Canal and the canal city of Yangzhou.展开更多
France’s Barbizon School of art finds commonalities in China’s landscape painting and rural art,showcasing the universality of creativity.THE village of Barbizon in north-cenral France,located on the outskirts of th...France’s Barbizon School of art finds commonalities in China’s landscape painting and rural art,showcasing the universality of creativity.THE village of Barbizon in north-cenral France,located on the outskirts of the stunning Fontainebleu Forest,became famous in art history for giving rise to a school of painting that sought realism in nature painting,based on deep observation and love for nature.Lishui is a city in Zhejiang Province in east China known as the green valley due to its extensive forest cover.Today,it has also become a channel of intercultural dialogue between China and France.展开更多
On the evening of May 30th,the parallel forum"Youth Power in Dialogue among Civilisations,"as part of the 4th Dialogue on Exchanges and Mutual Learning among Civilisations,was held in Dunhuang.The forum was ...On the evening of May 30th,the parallel forum"Youth Power in Dialogue among Civilisations,"as part of the 4th Dialogue on Exchanges and Mutual Learning among Civilisations,was held in Dunhuang.The forum was hosted by the Chinese Association for International Understanding and organised by the Schwarzman College of Tsinghua University.More than 30 youth representatives from the Schwarzman Scholars international delegation and a delegation of European,American and African NGO friends came together under the theme"The Youth Power of Cross-Civilisation Dialogue.Discussions focused on topics such as cultural inheritance and innovation,and cross-cultural collaboration.The sessions were co-chaired by Professor Pan Qingzhong,Executive Dean of the Schwarzman College,and Joshua Woodard,a Schwarzman Scholar from the United States of America.展开更多
On 28 November 2024,the Chinese Association for International Understanding(CAFIU)hosted the Dialogue on Mutual Learning between Chinese and German Civilisations in Berlin,Germany.Ji Bingxuan,Vice-Chairperson of the S...On 28 November 2024,the Chinese Association for International Understanding(CAFIU)hosted the Dialogue on Mutual Learning between Chinese and German Civilisations in Berlin,Germany.Ji Bingxuan,Vice-Chairperson of the Standing Committee of the 13th National People's Congress of China and President of CAFIU,who was on a visit in Germany,attended the Dialogue and delivered a keynote speech.展开更多
Ⅰ.We,political party leaders,government ministers and representatives of various sectors from over 140 countries held the Global Civilizations Dialogue Ministerial Meeting from 10 to 11 July 2025 in Beijing,China.Foc...Ⅰ.We,political party leaders,government ministers and representatives of various sectors from over 140 countries held the Global Civilizations Dialogue Ministerial Meeting from 10 to 11 July 2025 in Beijing,China.Focusing on the theme Safeguarding Diversity of Human Civilizations for World Peace and Development,we engaged in in-depth exchanges and reached broad consensus.展开更多
文摘Human-Computer dialogue systems provide a natural language based interface between human and computers. They are widely demanded in network information services, intelligent accompanying robots, and so on. A Human-Computer dialogue system typically consists of three parts, namely Natural Language Understanding （NLU）, Dialogue Management （DM） and Natural Language Generation （NLG）. Each part has several different subtasks. Each subtask has been received lots of attentions, many improvements have been achieved on each subtask, respectively. But systems built in traditional pipeline way, where different subtasks are assembled sequently, suffered from some problems such as error accu- mulation and expanding, domain transferring. Therefore, researches on jointly modeling several subtasks in one part or cross different parts have been prompted greatly in recent years, especially the rapid developments on deep neural networks based joint models. There is even a few work aiming to integrate all subtasks of a dialogue system in a single model, namely end-to-end models. This paper introduces two basic frames of current dialogue systems and gives a brief survey on recent advances on variety subtasks at first, and then focuses on joint models for multiple subtasks of dialogues. We review several different joint models including integration of several subtasks inside NLU or NLG, jointly modeling cross NLG and DM, and jointly modeling through NLU, DM and NLG. Both advantages and problems of those joint models are discussed. We consider that the joint models, or end-to-end models, will be one important trend for developing Human-Computer dialogue systems.
基金Supported by National Key R&D Program of China(Grant Nos.2022YFC3601704,2023YFB4706100)National Natural Science Foundation of China(Grant Nos.U23A20338,62203149).
文摘Existing rehabilitation exoskeleton robots suffer from poor compatibility with the human limb coupling method,large internal power loss,and poor wearable performance,which seriously affect the rehabilitation ability of these robots.Therefore,this study proposes a variable stiffness humancomputer interaction contact unit module(VSHCUM)based on the granular jamming mechanism.It is characterized by a double-layer chamber structure:the inner layer is a granular chamber,and the outer layer is an air chamber.The interaction force is transmitted by embedding a rigid support in the inner layer.Unlike the common flexible-belt interactive contact unit,when the exoskeleton is bound to the patient's limb,vSHCUM can realize adaptive fitting of the patient's limb shape using the pressure change in the double-chamber structure.Simultaneously,by adjusting the vacuum level of the granular chamber,the stiffness of the interactive contact unit can be adjusted by a factor of more than five,and the internal work loss caused by self-pulling deformation during the auxiliary force transfer process can be reduced.
文摘Multimodal dialogue systems often fail to maintain coherent reasoning over extended conversations and suffer from hallucination due to limited context modeling capabilities.Current approaches struggle with crossmodal alignment,temporal consistency,and robust handling of noisy or incomplete inputs across multiple modalities.We propose Multi Agent-Chain of Thought(CoT),a novel multi-agent chain-of-thought reasoning framework where specialized agents for text,vision,and speech modalities collaboratively construct shared reasoning traces through inter-agent message passing and consensus voting mechanisms.Our architecture incorporates self-reflection modules,conflict resolution protocols,and dynamic rationale alignment to enhance consistency,factual accuracy,and user engagement.The framework employs a hierarchical attention mechanism with cross-modal fusion and implements adaptive reasoning depth based on dialogue complexity.Comprehensive evaluations on Situated Interactive Multi-Modal Conversations(SIMMC)2.0,VisDial v1.0,and newly introduced challenging scenarios demonstrate statistically significant improvements in grounding accuracy(p<0.01),chain-of-thought interpretability,and robustness to adversarial inputs compared to state-of-the-art monolithic transformer baselines and existing multi-agent approaches.
文摘On February 5, the Dialogue on Building a China-Laos Community with a Shared Future, themed “Focusing on the ‘Action Plan,’ Creating a Better Future Together,” took place in Vientiane, Laos.The opening ceremony featured speeches by several distinguished vips including Fang Hong, Chinese ambassador to Laos, Daosavanh Kheugmixai, vice president of the Lao National Academy of Politics and Public Administration, Yu Yunquan, vice president of the China International Communications Group (CICG),Sakhon Phommalat, deputy head of the Propaganda and Training Board of the Lao People’s Revolutionary Party (LPRP) Central Committee, Sun Jisheng, vice president of China Foreign Affairs University (CFAU),and Vadthuninyom Duangmala,president of the Diplomatic Academy of Laos.
文摘The“Forward Together”Dialogue on Building a China-Brunei Community with a Shared Future was held on the morning of February 7 at Universiti Brunei Darussalam(UBD)in Bandar Seri Begawan.Scheduled for the lead-up to the 35th anniversary of diplomatic relations between China and Brunei in 2026,the event aimed to deepen strategic mutual trust,build broader consensus on cooperation,and generate both intellectual momentum and practical proposals for advancing a closer China-Brunei community with a shared future.
基金2024 Provincial Teaching Reform Program for Graduate Students in the Second Batch of the 14th Five-Year Plan of Zhejiang Provincial Office of Education:Innovation and Practice of“Six Synergistic”Graduate Teaching Guided by Educator’s Spirit(No.JGCG2024406)Key Project of Zhejiang Provincial Education Science Planning:Research on an interdisciplinary teaching model to promote students’computational thinking from multiple analytical perspectives[No.2025SB103].
文摘Oral expression skills play an essential role in the development of EFL students’language abilities,and how to improve EFL students’oral expression skills is an essential and challenging task.This study adopts a quasi-experimental research method to carry out the research and proposes an AI-based reflective dialogue model.Based on this,an analysis of the impact brought by this model on EFL students’oral expression performance and learning anxiety levels.The results show that students in the experimental group have significantly higher oral expression performance than those in the control group in the three dimensions of grammatical accuracy,expressive fluency,and word accuracy.In addition,the students in the experimental group produced facilitated anxiety after using the AI-based reflective dialogue model for oral expression learning,which prompted the students to learn more diligently.
基金the Talent Fund of Beijing Jiaotong University(Grant No.2024XKRC055).
文摘In recent years,railway construction in China has developed vigorously.With continuous improvements in the highspeed railway network,the focus is gradually shifting from large-scale construction to large-scale operations.However,several challenges have emerged within the high-speed railway dispatching and command system,including the heavy workload faced by dispatchers,the difficulty of quantifying subjective expertise,and the need for effective training of professionals.Amid the growing application of artificial intelligence technologies in railway systems,this study leverages Large Language Model(LLM)technology.LLMs bring enhanced intelligence,predictive capabilities,robust memory,and adaptability to diverse real-world scenarios.This study proposes a human-computer interactive intelligent scheduling auxiliary training system built on LLM technology.The system offers capabilities including natural dialogue,knowledge reasoning,and human feedback learning.With broad applicability,the system is suitable for vocational education,guided inquiry,knowledge-based Q&A,and other training scenarios.Validation results demonstrate its effectiveness in auxiliary training,providing substantial support for educators,students,and dispatching personnel in colleges and professional settings.
文摘The Fourth Dialogue on Exchanges and Mutual Learning Among Civilisations was held in Dunhuang in Northwest China's Gansu Province on Friday,bringing together politicians,heads of international organisations,scholars and experts to discuss the significance of exchanges and dialogues between different civilisations in a world facing many conflicts.
基金funded by the Science and Technology Foundation of Chongqing EducationCommission(GrantNo.KJQN202301153)the ScientificResearch Foundation of Chongqing University of Technology(Grant No.2021ZDZ025)the Postgraduate Innovation Foundation of Chongqing University of Technology(Grant No.gzlcx20243524).
文摘In task-oriented dialogue systems, intent, emotion, and actions are crucial elements of user activity. Analyzing the relationships among these elements to control and manage task-oriented dialogue systems is a challenging task. However, previous work has primarily focused on the independent recognition of user intent and emotion, making it difficult to simultaneously track both aspects in the dialogue tracking module and to effectively utilize user emotions in subsequent dialogue strategies. We propose a Multi-Head Encoder Shared Model (MESM) that dynamically integrates features from emotion and intent encoders through a feature fusioner. Addressing the scarcity of datasets containing both emotion and intent labels, we designed a multi-dataset learning approach enabling the model to generate dialogue summaries encompassing both user intent and emotion. Experiments conducted on the MultiWoZ and MELD datasets demonstrate that our model effectively captures user intent and emotion, achieving extremely competitive results in dialogue state tracking tasks.
基金supported by the MSIT(Ministry of Science and ICT),Republic of Korea,under the ITRC(Information Technology Research Centre)support program(IITP-2024-RS-2024-00437191)supervised by the IITP(Institute for Information&Communications Technology Planning&Evaluation).
文摘Dialogue State Tracking(DST)is a critical component of task-oriented spoken dialogue systems(SDS),tasked with maintaining an accurate representation of the conversational state by predicting slots and their corresponding values.Recent advances leverage Large Language Models(LLMs)with prompt-based tuning to improve tracking accuracy and efficiency.However,these approaches often incur substantial computational and memory overheads and typically address slot extraction implicitly within prompts,without explicitly modeling the complex dependencies between slots and values.In this work,we propose PUGG,a novel DST framework that constructs schema-driven prompts to fine-tune GPT-2 and utilizes its tokenizer to implement a memory encoder.PUGG explicitly extracts slot values via GPT-2 and employs Graph Attention Networks(GATs)to model and reason over the intricate relationships between slots and their associated values.We evaluate PUGG on four publicly available datasets,where it achieves stateof-the-art performance across multiple evaluation metrics,highlighting its robustness and generalizability in diverse conversational scenarios.Our results indicate that the integration of GPT-2 substantially reduces model complexity and memory consumption by streamlining key processes.Moreover,prompt tuning enhances the model’s flexibility and precision in extracting relevant slot-value pairs,while the incorporation of GATs facilitates effective relational reasoning,leading to improved dialogue state representations.
基金Education and Teaching Research Project of Beijing University of Technology(ER2024KCB08)。
文摘With the rapid development of artificial intelligence technology,AIGC(Artificial Intelligence-Generated Content)has triggered profound changes in the field of high-level language programming courses.This paper deeply explored the application principles,advantages,and limitations of AIGC in intelligent code generation,analyzed the new mode of human-computer collaboration in high-level language programming courses driven by AIGC,discussed the impact of human-computer collaboration on programming efficiency and code quality through practical case studies,and looks forward to future development trends.This research aims to provide theoretical and practical guidance for high-level language programming courses and promote innovative development of high-level language programming courses under the human-computer collaboration paradigm.
文摘Flipped is a book written by American author Wendelin Van Draanen. It is a novel about young teenagers and was adapted into the famous film of the same name in 2010. The thesis employs speech acts, as pioneered by John Austin and further developed by John Searle, to investigate the influence of dialogues on characterization and plot development in Flipped. By exploring the theory of speech acts presented in dialogues between characters, the author deciphers the underlying intentions embodied in the dialogues and demonstrates the importance of the use of speech acts in dialogues in revealing the characters, driving the development of the plot and expressing the theme of the text.
基金supported by the Tianjin Enterprise Science and Technology Commissioner Project(Grant No.23YDTPJC00740,Grant No.24YDTPJC00610)the Tianjin Tiankai Higher Education Science and Technology Innovation Park Enterprise R&D Special Project(Grant No.23YFZXYC00027).
文摘The shop floor dynamic scheduling system based on human-computer interaction is the use of computer-aided decision-making and human-computer interaction to solve the dynamic scheduling problem.A human-computer interaction interface based on Gantt chart is designed,which can not only comprehensively and quantitatively represent the scheduling process and scheduling scheme,but also have friendly human-computer interaction performance.The data transmission and interaction architecture is constructed to realize the rapid response to shop floor disturbance events.A priority calculation algorithm integrating priority rules and dispatcher preference is proposed,which realizes the automatic calculation of priority for the dispatcher's reference and reduces theirburden.A man-machine interactive shop floor dynamic scheduling strategy is proposed.When solving the dynamic flexible job shop scheduling problem caused by machine tool breakdown and urgent order,the origin moments obtained by using this strategy are 0.4190 and 0.3703 respectively.As can be seen from the origin moment indicator,the dynamic shop floor scheduling system based on the human-computer interaction is efficient and reliable in solving dynamic scheduling problems,and related strategies of this system are also feasible and stable.
基金supported by the National Key Research and Development Program of China(No.2023YFF0905400)the National Natural Science Foundation of China(No.U2341229).
文摘Relation extraction plays a crucial role in numerous downstream tasks.Dialogue relation extraction focuses on identifying relations between two arguments within a given dialogue.To tackle the problem of low information density in dialogues,methods based on trigger enhancement have been proposed,yielding positive results.However,trigger enhancement faces challenges,which cause suboptimal model performance.First,the proportion of annotated triggers is low in DialogRE.Second,feature representations of triggers and arguments often contain conflicting information.In this paper,we propose a novel Multi-Feature Filtering and Fusion trigger enhancement approach to overcome these limitations.We first obtain representations of arguments,and triggers that contain rich semantic information through attention and gate methods.Then,we design a feature filtering mechanism that eliminates conflicting features in the encoding of trigger prototype representations and their corresponding argument pairs.Additionally,we utilize large language models to create prompts based on Chain-of-Thought and In-context Learning for automated trigger extraction.Experiments show that our model increases the average F1 score by 1.3%in the dialogue relation extraction task.Ablation and case studies confirm the effectiveness of our model.Furthermore,the feature filtering method effectively integrates with other trigger enhancement models,enhancing overall performance and demonstrating its ability to resolve feature conflicts.
基金supported by the National Natural Science Foundation of China(Grant Nos.12175106 and 92365110)the Postgraduate Research and Practice Innovation Program of Jiangsu Province,China(Grant No.KYCX23-0987).
文摘Quantum dialogue(QD)realizes the real-time secure bidirectional quantum communication.Measurement-deviceindependent(MDI)QD can resist all possible attacks focusing on the imperfect measurement devices and enhance QD’s practical security.However,in practical applications,any secure communication requires identity authentication as a prerequisite.In this paper,we propose an MDI QD protocol with bidirectional identity authentication.The practical communication parties can first authenticate the identity of each other simultaneously before the message exchange.In theory,our MDI QD protocol has unconditional security and the communication parties can exchange 1.5 bits of messages in each communication round with linear optical Bell state measurement.We numerically simulate the secrecy message capacity of our MDI QD protocol.Our protocol has two advantages.First,it can effectively resist the impersonation attack and enhance MDI QD’s practical security.Second,it does not require keys to assist the message exchange and has relatively high efficiency.Our protocol has application potential in the future quantum communication field.
文摘Agroup of young representatives and scholars from more than 10 foreign countries had great fun collecting water samples from the Grand Canal in Sanwan Park,Yangzhou City,east China’s Jiangsu Province,on June 3,2025.The samples were poured into a“pot of civilization,”which symbolized the integration of cultures.In addition to the canal,the young people also visited places such as Yangzhou University,China Grand Canal Museum,and the Slender West Lake,learning the culture of the Grand Canal and the canal city of Yangzhou.
文摘France’s Barbizon School of art finds commonalities in China’s landscape painting and rural art,showcasing the universality of creativity.THE village of Barbizon in north-cenral France,located on the outskirts of the stunning Fontainebleu Forest,became famous in art history for giving rise to a school of painting that sought realism in nature painting,based on deep observation and love for nature.Lishui is a city in Zhejiang Province in east China known as the green valley due to its extensive forest cover.Today,it has also become a channel of intercultural dialogue between China and France.
文摘On the evening of May 30th,the parallel forum"Youth Power in Dialogue among Civilisations,"as part of the 4th Dialogue on Exchanges and Mutual Learning among Civilisations,was held in Dunhuang.The forum was hosted by the Chinese Association for International Understanding and organised by the Schwarzman College of Tsinghua University.More than 30 youth representatives from the Schwarzman Scholars international delegation and a delegation of European,American and African NGO friends came together under the theme"The Youth Power of Cross-Civilisation Dialogue.Discussions focused on topics such as cultural inheritance and innovation,and cross-cultural collaboration.The sessions were co-chaired by Professor Pan Qingzhong,Executive Dean of the Schwarzman College,and Joshua Woodard,a Schwarzman Scholar from the United States of America.
文摘On 28 November 2024,the Chinese Association for International Understanding(CAFIU)hosted the Dialogue on Mutual Learning between Chinese and German Civilisations in Berlin,Germany.Ji Bingxuan,Vice-Chairperson of the Standing Committee of the 13th National People's Congress of China and President of CAFIU,who was on a visit in Germany,attended the Dialogue and delivered a keynote speech.
文摘Ⅰ.We,political party leaders,government ministers and representatives of various sectors from over 140 countries held the Global Civilizations Dialogue Ministerial Meeting from 10 to 11 July 2025 in Beijing,China.Focusing on the theme Safeguarding Diversity of Human Civilizations for World Peace and Development,we engaged in in-depth exchanges and reached broad consensus.
