3 papers
cs.CL2026
Averaging Bias: Human Faithfulness Annotations are not Locally Faithful
Huajian Zhang, Yiyang Feng, Jiawei Zhou
Evaluation of faithfulness of text summarization treats a model generated summary as faithful only if every of its sentences is supported by the source document: a strict conjuncti…
cs.CL2026
Self-Improvement of Large Language Models: A Technical Overview and Future Outlook
Haoyan Yang, Mario Xerri, Solha Park +4
As large language models (LLMs) continue to advance, improving them solely through human supervision is becoming increasingly costly and limited in scalability. As models approach…
cs.CL2025
Unraveling Misinformation Propagation in LLM Reasoning
Yiyang Feng, Yichen Wang, Shaobo Cui +3
Large Language Models (LLMs) have demonstrated impressive capabilities in reasoning, positioning them as promising tools for supporting human problem-solving. However, what happens…