Papers
5,479 papers found
Enhancing Entertainment Translation for Indian Languages Using Adaptive Context, Style and LLMs
Pratik Rakesh Singh, Mohammadi Zaki, Pankaj Wasnik
Structured Packing in LLM Training Improves Long Context Utilization
Konrad Staniszewski, Szymon Tworkowski, Sebastian Jaszczur et al.
Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach
Zhen Tan, Jie Peng, Song Wang et al.
CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification
Yuchen Tian, Weixiang Yan, Qian Yang et al.
Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs
Guoqing Wang, Wen Wu, Guangze Ye et al.
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs
Jiaxing Wu, Lin Ning, Luyang Liu et al.
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
Yutong Wu, Di Huang, Wenxuan Shi et al.
MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion Recognition
Yang Yang, Xunde Dong, Yupeng Qiang
Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems
Junyi Ye, Jingyi Gu, Xinyun Zhao et al.
MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents
Congchi Yin, Feng Li, Shu Zhang et al.
Training with “Paraphrasing the Original Text” Teaches LLM to Better Retrieve in Long-Context Tasks
Yijiong Yu, Yongfeng Huang, Zhixiao Qi et al.
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis
Lin Yuan, Jun Xu, Honghao Gui et al.
Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs
Lei Zhang, Yunshui Li, Jiaming Li et al.
Leveraging Attention to Effectively Compress Prompts for Long-Context LLMs
Yunlong Zhao, Haoran Wu, Bo Xu
LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study
Nan Zhuang, Boyu Cao, Yi Yang et al.
RATT: A Thought Structure for Coherent and Correct LLM Reasoning
Jinghan Zhang, Xiting Wang, Weijieying Ren et al.
HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs
Pham Vu Tuan Dat, Long Doan, Huynh Thi Thanh Binh
Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models
Yuanzhao Zhai, Tingkai Yang, Kele Xu et al.
Bridging the Knowledge Gap: Understanding User Expectations for Trustworthy LLM Standards
Michaela Benk, Léane Wettstein, Nadine Schlicker et al.
Scaling Trends for Data Poisoning in LLMs
Dillon Bowen, Brendan Murphy, Will Cai et al.
ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates
Fengqing Jiang, Zhangchen Xu, Luyao Niu et al.
JailPO: A Novel Black-Box Jailbreak Framework via Preference Optimization Against Aligned LLMs
Hongyi Li, Jiawei Ye, Jie Wu et al.
Single Character Perturbations Break LLM Alignment
Leon Lin, Hannah Brown, Kenji Kawaguchi et al.
Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment
Prashant Trivedi, Souradip Chakraborty, Avinash Reddy et al.
LLMs in the Classroom: Outcomes and Perceptions of Questions Written with the Aid of AI
Gavin Witsken, Igor Crk, Eren Gultepe