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
The human-computer dialogue has recently attracted extensive attention from both academia and industry as an important branch in the field of artificial intelligence(AI).However,there are few studies on the evaluation...The human-computer dialogue has recently attracted extensive attention from both academia and industry as an important branch in the field of artificial intelligence(AI).However,there are few studies on the evaluation of large-scale Chinese human-computer dialogue systems.In this paper,we introduce the Second Evaluation of Chinese Human-Computer Dialogue Technology,which focuses on the identification of a user’s intents and intelligent processing of intent words.The Evaluation consists of user intent classification(Task 1)and online testing of task-oriented dialogues(Task 2),the data sets of which are provided by iFLYTEK Corporation.The evaluation tasks and data sets are introduced in detail,and meanwhile,the evaluation results and the existing problems in the evaluation are discussed.展开更多
There is a growing interest in developing human-computer dialogue systems which is an important branch in the field of artificial intelligence(AI).However,the evaluation of large-scale Chinese human-computer dialogues...There is a growing interest in developing human-computer dialogue systems which is an important branch in the field of artificial intelligence(AI).However,the evaluation of large-scale Chinese human-computer dialogues is still a challenging task.To attract more attention to dialogue evaluation work,we held the fourth Evaluation of Chinese Human-Computer Dialogue Technology(ECDT).It consists of few-shot learning in spoken language understanding(SLU)(Task 1)and knowledge-driven multi-turn dialogue competition(Task 2),the data sets of which are provided by Harbin Institute of Technology and Tsinghua University.In this paper,we will introduce the evaluation tasks and data sets in detail.Meanwhile,we will also analyze the evaluation results and the existing problems in the evaluation.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
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
On the afternoon of May 30,the parallel forum"Global Dialogue on Civilisational Inheritance and the Digital Silk Road,"as part of the 4th Dialogue on Exchanges and Mutual Learning among Civilisations,was hel...On the afternoon of May 30,the parallel forum"Global Dialogue on Civilisational Inheritance and the Digital Silk Road,"as part of the 4th Dialogue on Exchanges and Mutual Learning among Civilisations,was held in Dunhuang.The forum focused on key areas of Silk Road civilisation studies in the new era under the theme"Carrying Forward the Silk Road Spirit and Pooling Strength for the Implementation of the Global Civilisation Initiative."Discussions centred on topics such as humanistic research on the Digital Silk Road,translation studies of cultural heritage,and archaeological studies of Silk Road sites,providing a platform for experts and scholars to exchange ideas and share achievements,and working to build a strong synergy for exchanges and mutual learning among civilisations.展开更多
At a time when humanity grapples with intersecting deficits in peace,development,security and governance,civilizations stand at a crossroads.As traditional Western-led solutions falter,China’s Global Civilization Ini...At a time when humanity grapples with intersecting deficits in peace,development,security and governance,civilizations stand at a crossroads.As traditional Western-led solutions falter,China’s Global Civilization Initiative(GCI)emerges as a transformative framework,translating historical wisdom into actionable strategies.Recent forums like the 11th Nishan Forum on World Civilizations and the Global Civilizations Dialogue Ministerial Meeting underscore growing consensus on core principles:equality,mutual learning,inclusive dialogue,and collaborative response to global challenges.As Chinese President Xi Jinping pointed out in his congratulatory letter to the Global Civilizations Dialogue Ministerial Meeting,“History shows that exchanges and mutual learning among civilizations are essential for civilizations to flourish and for human progress to be made.”展开更多
In June 2024,the 78th session of the United Nations General Assembly unanimously adopted a resolution proposed by China,designating June 10 of each year as the International Day for Dialogue Among Civilizations.This i...In June 2024,the 78th session of the United Nations General Assembly unanimously adopted a resolution proposed by China,designating June 10 of each year as the International Day for Dialogue Among Civilizations.This initiative aimed to deepen global appreciation for the value of civilizational diversity,promote dialogue and mutual respect,and advance the construction of a more harmonious and interconnected world.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.
文摘The human-computer dialogue has recently attracted extensive attention from both academia and industry as an important branch in the field of artificial intelligence(AI).However,there are few studies on the evaluation of large-scale Chinese human-computer dialogue systems.In this paper,we introduce the Second Evaluation of Chinese Human-Computer Dialogue Technology,which focuses on the identification of a user’s intents and intelligent processing of intent words.The Evaluation consists of user intent classification(Task 1)and online testing of task-oriented dialogues(Task 2),the data sets of which are provided by iFLYTEK Corporation.The evaluation tasks and data sets are introduced in detail,and meanwhile,the evaluation results and the existing problems in the evaluation are discussed.
基金supported by the National Natural Science Foundation of China(No.62076081,No.61772153,No.61936010).
文摘There is a growing interest in developing human-computer dialogue systems which is an important branch in the field of artificial intelligence(AI).However,the evaluation of large-scale Chinese human-computer dialogues is still a challenging task.To attract more attention to dialogue evaluation work,we held the fourth Evaluation of Chinese Human-Computer Dialogue Technology(ECDT).It consists of few-shot learning in spoken language understanding(SLU)(Task 1)and knowledge-driven multi-turn dialogue competition(Task 2),the data sets of which are provided by Harbin Institute of Technology and Tsinghua University.In this paper,we will introduce the evaluation tasks and data sets in detail.Meanwhile,we will also analyze the evaluation results and the existing problems in the evaluation.
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.
文摘On the afternoon of May 30,the parallel forum"Global Dialogue on Civilisational Inheritance and the Digital Silk Road,"as part of the 4th Dialogue on Exchanges and Mutual Learning among Civilisations,was held in Dunhuang.The forum focused on key areas of Silk Road civilisation studies in the new era under the theme"Carrying Forward the Silk Road Spirit and Pooling Strength for the Implementation of the Global Civilisation Initiative."Discussions centred on topics such as humanistic research on the Digital Silk Road,translation studies of cultural heritage,and archaeological studies of Silk Road sites,providing a platform for experts and scholars to exchange ideas and share achievements,and working to build a strong synergy for exchanges and mutual learning among civilisations.
文摘At a time when humanity grapples with intersecting deficits in peace,development,security and governance,civilizations stand at a crossroads.As traditional Western-led solutions falter,China’s Global Civilization Initiative(GCI)emerges as a transformative framework,translating historical wisdom into actionable strategies.Recent forums like the 11th Nishan Forum on World Civilizations and the Global Civilizations Dialogue Ministerial Meeting underscore growing consensus on core principles:equality,mutual learning,inclusive dialogue,and collaborative response to global challenges.As Chinese President Xi Jinping pointed out in his congratulatory letter to the Global Civilizations Dialogue Ministerial Meeting,“History shows that exchanges and mutual learning among civilizations are essential for civilizations to flourish and for human progress to be made.”
文摘In June 2024,the 78th session of the United Nations General Assembly unanimously adopted a resolution proposed by China,designating June 10 of each year as the International Day for Dialogue Among Civilizations.This initiative aimed to deepen global appreciation for the value of civilizational diversity,promote dialogue and mutual respect,and advance the construction of a more harmonious and interconnected world.
