Bill Yuchen Lin is a researcher at xAI and an Affiliate Assistant Professor at the University of Washington (UW). His research centers on aligning large language models (LLMs), training AI agents, reasoning, and multi-modal LLMs, with a focus on post-training, evaluation, reward modeling, and synthetic data generation.

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1. rebiberrebiberPublic

   A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

   Python 2.8k 162

2. SwiftSage/SwiftSageSwiftSage/SwiftSagePublic

   SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks

   Python 306 29

3. LLM-BlenderLLM-BlenderPublic

   [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths of multiple open-source LLMs. LLM-Blender cut …

   Python 920 82

4. INK-USC/MHGRNINK-USC/MHGRNPublic

   Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering (EMNLP 2020)

   Python 255 46

5. allenai/WildBenchallenai/WildBenchPublic

   Benchmarking LLMs with Challenging Tasks from Real Users

   Python 218 41

6. WildEval/ZeroEvalWildEval/ZeroEvalPublic

   Forked fromallenai/WildBench

   A simple unified framework for evaluating LLMs

   HTML 204 23