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.
building grok @xai-org
- Palo Alto, CA
-
04:32
(UTC -08:00) - http://yuchenlin.xyz/
- @billyuchenlin
- https://scholar.google.com/citations?hl=en&user=7hVk87IAAAAJ&view_op=list_works
Highlights
- Pro
Pinned Loading
-
SwiftSage/SwiftSage
SwiftSage/SwiftSage PublicSwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
-
LLM-Blender
LLM-Blender Public[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 …
-
INK-USC/MHGRN
INK-USC/MHGRN PublicScalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering (EMNLP 2020)
-
allenai/WildBench
allenai/WildBench PublicBenchmarking LLMs with Challenging Tasks from Real Users
-
WildEval/ZeroEval
WildEval/ZeroEval PublicForked from allenai/WildBench
A simple unified framework for evaluating LLMs
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.