Suchergebnisse - "LEI, Wenqiang"

LEGEND: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets

Autoren: Feng, Duanyu Qin, Bowen Huang, Chen et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence. 39:27277-27285

Schlagwörter: FOS: Computer and information sciences, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computation and Language (cs.CL)

Zugangs-URL: http://arxiv.org/abs/2406.08124

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning

Autoren: Fang, Yuanheng Chao, Guoqing Lei, Wenqiang et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence. 39:23878-23886

Schlagwörter: Computer Science - Machine Learning

Zugangs-URL: http://arxiv.org/abs/2501.12226

BAR: A Backward Reasoning based Agent for Complex Minecraft Tasks

Autoren: Du, Weihong Liao, Wenrui Yan, Binyu et al.

Quelle: Findings of the Association for Computational Linguistics: ACL 2025. :6126-6149

Schlagwörter: FOS: Computer and information sciences, Computer Science - Computation and Language, Computation and Language (cs.CL)

Zugangs-URL: http://arxiv.org/abs/2505.14079

Cross-model Transferability among Large Language Models on the Platonic Representations of Concepts

Autoren: Huang, Youcheng Huang, Chen Feng, Duanyu et al.

Quelle: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :3686-3704

Schlagwörter: FOS: Computer and information sciences, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computation and Language (cs.CL)

Zugangs-URL: http://arxiv.org/abs/2501.02009

SCOP: Evaluating the Comprehension Process of Large Language Models from a Cognitive View

Autoren: Xiao, Yongjie Liang, Hongru Qin, Peixin et al.

Quelle: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :17407-17431

Schlagwörter: FOS: Computer and information sciences, Computation and Language, Computation and Language (cs.CL)

Zugangs-URL: http://arxiv.org/abs/2506.05000

ELABORATION: A Comprehensive Benchmark on Human-LLM Competitive Programming

Autoren: Yang, Xinwei Liu, Zhaofeng Huang, Chen et al.

Quelle: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :59-104

Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence

Zugangs-URL: http://arxiv.org/abs/2505.16667

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content

Autoren: Huang, Chen Luo, Junkai Wang, Xinzuo et al.

Quelle: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :12916-12941

Schlagwörter: FOS: Computer and information sciences, Computer Science - Computation and Language, Computation and Language (cs.CL)

Zugangs-URL: http://arxiv.org/abs/2505.15071

Breaking the Stigma! Unobtrusively Probe Symptoms in Depression Disorder Diagnosis Dialogue

Autoren: Cao, Jieming Huang, Chen Zhang, Yanan et al.

Quelle: Findings of the Association for Computational Linguistics: NAACL 2025. :182-200

Schlagwörter: FOS: Computer and information sciences, Computer Science - Computers and Society, Computer Science - Computation and Language, Computers and Society (cs.CY), Computation and Language (cs.CL)

Zugangs-URL: http://arxiv.org/abs/2501.15260

How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond

Autoren: Huang, Chen Deng, Yang Lei, Wenqiang et al.

Quelle: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :466-488

Schlagwörter: FOS: Computer and information sciences, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, Computation and Language (cs.CL), Human-Computer Interaction (cs.HC)

Zugangs-URL: http://arxiv.org/abs/2501.05714

Applications and Prospects of Graph Retrieval-Augmented Generation Technology Based on Large Language Models in the Nuclear Power Field

Autoren: XU Haoran ZHANG Jinyun MA Xin et al.

Quelle: 发电技术, Vol 46, Iss 3, Pp 454-466 (2025)

Schlagwörter: dual carbon, nuclear power, smart grid, artificial intelligence (ai), deep learning, large language model, knowledge graph, retrieval-augmented generation, Applications of electric power, TK4001-4102, Production of electric energy or power. Powerplants. Central stations, TK1001-1841, Science

Dateibeschreibung: electronic resource

Relation: https://www.pgtjournal.com/article/2025/2096-4528/2096-4528-2025-46-3-454.shtml; https://doaj.org/toc/2096-4528

Zugangs-URL: https://doaj.org/article/f82555715bf840159244e59edcdcf931

Beyond Solving Math Quiz: Evaluating the Ability of Large Reasoning Models to Ask for Information

Autoren: Huang, Youcheng Qin, Bowen Huang, Chen et al.

Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Information Retrieval, Computation and Language, Computation and Language (cs.CL), Information Retrieval (cs.IR)

Zugangs-URL: http://arxiv.org/abs/2508.11252

Towards Equipping Transformer with the Ability of Systematic Compositionality

Autoren: Huang, Chen Qin, Peixin Lei, Wenqiang et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence. 38:18289-18297

Schlagwörter: FOS: Computer and information sciences, Computer Science - Computation and Language, 0602 languages and literature, 05 social sciences, 0501 psychology and cognitive sciences, 06 humanities and the arts, Computation and Language (cs.CL)

Zugangs-URL: http://arxiv.org/abs/2312.07280

STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents

Autoren: CHEN, Yue HUANG, Chen DENG, Yang et al.

Quelle: Findings of the Association for Computational Linguistics ACL 2024. :10633-10649

Schlagwörter: FOS: Computer and information sciences, Databases and Information Systems, Programming Languages and Compilers, Computer Science - Computation and Language, Computation and Language (cs.CL)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2405.12059

ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation

Autoren: Huang, Chen Jin, Yiping Ilievski, Ilija et al.

Quelle: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :10660-10675

Schlagwörter: FOS: Computer and information sciences, Computer Science - Computation and Language, Computer Science - Human-Computer Interaction, Computation and Language (cs.CL), Human-Computer Interaction (cs.HC)

Zugangs-URL: http://arxiv.org/abs/2405.11912

Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations

Autoren: QIN, Peixin HUANG, Chen DENG, Yang et al.

Quelle: Findings of the Association for Computational Linguistics: EMNLP 2024. :4264-4282

Schlagwörter: FOS: Computer and information sciences, Persuasion strategies, Artificial Intelligence and Robotics, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Computer Sciences, Computer Science - Artificial Intelligence, Conversational recommender system, Computation and Language (cs.CL), CRS, Persuasion explanations

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2409.14399

CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models

Autoren: ZHANG, Tong QIN, Peixin DENG, Yang et al.

Quelle: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :10746-10766

Schlagwörter: FOS: Computer and information sciences, Databases and Information Systems, Programming Languages and Compilers, Computer Science - Computation and Language, 16. Peace & justice, Computation and Language (cs.CL)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2405.12063

Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model

Autoren: HUANG, Chen DENG, Yang LEI, Wenqiang et al.

Quelle: Findings of the Association for Computational Linguistics: EMNLP 2024. :301-320

Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence and Robotics, Computer Science - Computation and Language, Computer Sciences, SANT, Selective annotation framework, Data annotation, Triage-based annotation, Computation and Language (cs.CL)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2405.12081

CARE: A Clue-guided Assistant for CSRs to Read User Manuals

Autoren: Du, Weihong Liu, Jia Wen, Zujie et al.

Quelle: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :10795-10811

Schlagwörter: FOS: Computer and information sciences, Computer Science - Computation and Language, Computation and Language (cs.CL)

Zugangs-URL: http://arxiv.org/abs/2408.03633

Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation

Autoren: ZHANG, Tong HUANG, Chen DENG, Yang et al.

Quelle: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. :424-444

Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence and Robotics, Computer Science - Computation and Language, Computer Sciences, Computation and Language (cs.CL), Dialogue agents, Non-collaborative dialogues

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2403.06769

PAGED: A Benchmark for Procedural Graphs Extraction from Documents

Autoren: Du, Weihong Liao, Wenrui Liang, Hongru et al.

Quelle: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :10829-10846

Schlagwörter: FOS: Computer and information sciences, Computer Science - Computation and Language, Computation and Language (cs.CL)

Zugangs-URL: http://arxiv.org/abs/2408.03630