Papers
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
Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments
Tuka Alhanai, Adam Kasumovic, Mohammad M. Ghassemi et al.
Leveraging Computer Vision and Visual LLMs for Cost-Effective and Consistent Street Food Safety Assessment in Kolkata India
Alexey Chernikov, Klaus Ackermann, Caitlin Brown et al.
RTP-LX: Can LLMs Evaluate Toxicity in Multilingual Scenarios?
Adrian de Wynter, Ishaan Watts, Tua Wongsangaroonsri et al.
Reference-Based Post-OCR Processing with LLM for Precise Diacritic Text in Historical Document Recognition
Thao Do, Dinh Phu Tran, An Vo et al.
Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM Data
Yunfan Gao, Yun Xiong, Zhongyuan Hu et al.
Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages
Zihao Li, Yucheng Shi, Zirui Liu et al.
Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs
David Restrepo, Chenwei Wu, Zhengxu Tang et al.
CVE-LLM: Ontology-Assisted Automatic Vulnerability Evaluation Using Large Language Models
Rikhiya Ghosh, Hans-Martin von Stockhausen, Martin Schmitt et al.
ScriptSmith: A Unified LLM Framework for Enhancing IT Operations via Automated Bash Script Generation, Assessment, and Refinement
Pooja Aggarwal, Oishik Chatterjee, Ting Dai et al.