![]() |
|
|
π PhD. in Computer Science, University of Southern California (18'-22') |
π BSc. in Computer Science (IEEE Honor Class), Shanghai Jiao Tong University (14'-18') |
πͺ Senior AC: ACL'25; Area Chair: ACL'23, EMNLP'23, EMNLP'24; Workshop Organizer: FL4NLP@ACL22, CSRR@ACL22, CSKB@AKBC21, TamingLLM@SIGDIAL+INLG'23 |
π£οΈ Tutorials: ACL 2023; ACL 2022; WSDM 2023; |
π₯ Best Paper Award, TrustNLP 2021; Best Paper Runner-Up, WWW 20220; Best Thesis @ SJTU. |
π Resume | π§ Email: yuchenl@allenai.org |
24-06-29 Will serve as a Senior Area Chair for ACL 2025. |
24-05-08 Three ACL 2024 Main Conference papers: Agent Lumos, ETO, and SafeDecoding! |
24-05-01 Will serve as an Area Chair for EMNLP 2024. |
24-03-08 Introducing AI2 π¦ WildBench! A dynamic LLM benchmark for challenging tasks from real users. [Leaderboard] | [Tweet] |
24-03-06 2 new preprints: π ETO (Continual DPO for Agent Training) and π» OpenCI (open code interpreter). |
24-02-16 2 new preprints: 𧩠L3GO (with AI2 intern Yutaro Yamada from Yale); π‘οΈ SafeDecoding (led by Zhangchen Xu at UW). |
24-02-09 Check out our Vision Arena demo on HuggingFace! You can test many Vision LMs side by side here! |
24-01-30 Invited talk at UT Asutin (Host: Prof. Jessy Li at LIN 393). |
24-01-16 Accepted by ICLR'24: πͺ The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning. |
23-12-01 We release the PairRM-0.4B that is based on LLM-Blender. It achieves great performance on the AlpacaEval Leaderboard: [picture] [tweet 1] [tweet 2]. Kudos to Dongfu Jiang's great work! |
23-11-15 New preprint: πͺ Lumos Agent (with AI2 intern Da Yin from UCLA) |
23-11-01 New preprint: π² Personalized RLHF (with AI2 intern Joel Jang from UW). |
23-10-15 New preprints: π― TIGER-Score (reference-free NLG evaluation) and π Suspicion-Agent (playing imperfect-information games). |
23-09-21 Our SwiftSage and FnF papers got in NeurIPS 2023 as spotlights! π π |
23-07-29 Check out our new work (with Chengsong and Qian): LoraHub for efficient cross-task generalization. |
23-07-09 Co-presented an tutorial at ACL 2023 on Complex Reasoning in Natural Language. |
23-06-18 Will serve as an Area Chair at EMNLP 2023. |
23-01-01 Will serve as an Area Chair for ACL 2023! |
Yuchen Lin is a Research Scientist at Allen Institute for AI (AI2), working with Prof. Yejin Choi (University of Washington) at the Mosaic Team of AI2. Yuchen's primary interest lies in studying the science of large language models (LLMs), developing AI agents for complex interactive tasks, and evaluating the reasoning and alignment ability of LLMs. His research aims to teach machines how to think, plan, and act like humans. Moreover, Yuchen's work focuses on enhancing the robustness, safety, and generalization of LLMs through retrieval augmentation, continual learning, ensemble learning, etc. π€ I'm very open to collaboration! Please feel free to email me. :D |