Papers
5,479 papers found
Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions
Meghdut Sengupta, Maximilian Muschalik, Fabian Fumagalli et al.
Semantic-Aware Action Space Compression via LLM-DRL Synergy for Efficient Task-oriented Dialogue Policy Exploration
Yangyang Zhao, Ben Niu, Yuxuan Tan et al.
MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling
Zhaopeng Feng, Jiahan Ren, Jiayuan Su et al.
MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning
Zhaopeng Feng, Shaosheng Cao, Jiahan Ren et al.
Tales of Morality: Comparing Human- and LLM-Generated Moral Stories from Visual Cues
Rezvaneh Rezapour, Sullam Jeoung, Zhiwen You et al.
IoTMigrator: LLM-driven Embedded IoT Code Migration across Different OSes for Cloud-device Integration
Yq, Kaijie Gong, Yi Gao et al.
Simulating Identity, Propagating Bias: Abstraction and Stereotypes in LLM-Generated Text
Pia Sommerauer, Giulia Rambelli, Tommaso Caselli
Feel the Difference? A Comparative Analysis of Emotional Arcs in Real and LLM-Generated CBT Sessions
Xiaoyi Wang, Jiwei Zhang, Guangtao Zhang et al.
A Generalizable Rhetorical Strategy Annotation Model Using LLM-based Debate Simulation and Labelling
Shiyu Ji, Farnoosh Hashemi, Joice Chen et al.
From Noise to Clarity: Filtering Real and LLM-Generated Samples for Enhanced Intent Detection
Junbao Huang, Weizhen Li, Peijie Huang et al.
Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems
Minghang Zhu, Zhengliang Shi, Zhiwei Xu et al.
Compositional Translation: A Novel LLM-based Approach for Low-resource Machine Translation
Armel Randy Zebaze, Benoît Sagot, Rachel Bawden
Enhancing Domain-Specific Encoder Models with LLM-Generated Data: How to Leverage Ontologies, and How to Do Without Them
Marc Felix Brinner, Tarek Al Mustafa, Sina Zarrieß
Improving LLM-as-a-Judge Inference with the Judgment Distribution
Victor Wang, Michael JQ Zhang, Eunsol Choi
StructuThink: Reasoning with Task Transition Knowledge for Autonomous LLM-Based Agents
Haiyu Zhao, Zhenyu Guo, Chunhong Zhang et al.
Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning
Jizhi Zhang, Chongming Gao, Wentao Shi et al.
Rating Roulette: Self-Inconsistency in LLM-As-A-Judge Frameworks
Rajarshi Haldar, Julia Hockenmaier
Exploring and Controlling Diversity in LLM-Agent Conversation
KuanChao Chu, Yi-Pei Chen, Hideki Nakayama
Human and LLM-based Assessment of Teaching Acts in Expert-led Explanatory Dialogues
Aliki Anagnostopoulou, Nils Feldhus, Yi-Sheng Hsu et al.
Word Clouds as Common Voices: LLM-Assisted Visualization of Participant-Weighted Themes in Qualitative Interviews
Joseph T Colonel, Baihan Lin
A Survey of LLM-Based Applications in Programming Education: Balancing Automation and Human Oversight
Griffin Pitts, Anurata Prabha Hridi, Arun Balajiee Lekshmi Narayanan
Scalability of LLM-Based Multi-Agent Systems for Scientific Code Generation: A Preliminary Study
Yuru Wang, Kaiyan Zhang, Kai Tian et al.
Training of LLM-Based List-Wise Multilingual Reranker
Hao Yu, David Ifeoluwa Adelani
LLM-as-a-Judge Failures at Automating the Identification of Poor Quality Outputs in Free-Form Texts
Zongxia Li, Xiyang Wu, Ishani Mondal et al.
Evaluating LLM-Generated Legal Explanations for Regulatory Compliance in Social Media Influencer Marketing
Haoyang Gui, Thales Bertaglia, Taylor Annabell et al.