{"id":"wildfeedback","title":"WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback","authors":[{"given":"Taiwei","family":"Shi"},{"given":"Zhuoer","family":"Wang"},{"given":"Longqi","family":"Yang"},{"given":"Ying-Chun","family":"Lin"},{"given":"Zexue","family":"He"},{"given":"Mengting","family":"Wan"},{"given":"Pei","family":"Zhou"},{"given":"Sujay Kumar","family":"Jauhar"},{"given":"Sihao","family":"Chen"},{"given":"Shan","family":"Xia"},{"given":"Hongfei","family":"Zhang"},{"given":"Jieyu","family":"Zhao"},{"given":"Xiaofeng","family":"Xu"},{"given":"Xia","family":"Song"},{"given":"Jennifer","family":"Neville"}],"first_public":"2024-08-28","date_note":"First arXiv version.","date_source":"https://arxiv.org/abs/2408.15549","year":2026,"venue":"ACL 2026","paper_url":"https://aclanthology.org/2026.acl-long.1701/","arxiv":"2408.15549","category":"training","relationship":"extends","dataset_version":"148,715 multi-turn conversations from the original WildChat corpus, used to identify feedback and construct 20,281 preference examples.","summary":"Converts naturally occurring user feedback into preferred and dispreferred responses. Its pipeline detects satisfaction and dissatisfaction, constructs preference examples, and evaluates responses against checklists derived from the feedback.","finding":"WildFeedback contains 20,281 preference examples. Fine-tuned models improve on the paper’s alignment and checklist-based evaluations.","evidence_url":"https://arxiv.org/html/2408.15549v4","evidence_note":"Sections 2–3: feedback mining and evaluation. Appendix E: WildChat source.","bibtex_key":"wildfeedback2024","record_url":"https://yuntiandeng.com/wildchat/papers/wildfeedback/","relationship_label":"Extends WildChat","citation_title":"WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback","citation_type":"paper-conference","bibtex_type":"inproceedings","citation_url":"https://aclanthology.org/2026.acl-long.1701/","citation_year":2026,"citation_note":"ACL 2026 proceedings paper.","doi":"10.18653/v1/2026.acl-long.1701","container_title":"Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","pages":"36701–36725","publisher":"Association for Computational Linguistics"}