Yizhong Wang
@yizhongwyz
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Incoming assistant professor @UTCompSci, RS @BytedanceTalk, PhD from @uwcse, formerly @allen_ai @AIatMeta @MSFTResearch
Seattle
Joined April 2015
Thrilled to announce that I will be joining @UTAustin @UTCompSci as an assistant professor in fall 2026! . I will continue working on language models, data challenges, learning paradigms, & AI for innovation. Looking forward to teaming up with new students & colleagues! 🤠🤘
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RT @valentina__py: 💡Beyond math/code, instruction following with verifiable constraints is suitable to be learned with RLVR. But the set of….
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RT @ZEYULIU10: LLMs trained to memorize new facts can’t use those facts well.🤔. We apply a hypernetwork to ✏️edit✏️ the gradients for fact….
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RT @jcqln_h: LMs often output answers that sound right but aren’t supported by input context. This is intrinsic hallucination: the generati….
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RT @liujc1998: We enabled OLMoTrace for Tülu 3 models! 🤠. Matched spans are shorter than for OLMo models, bc we can only search in Tülu's p….
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CONGRATS 🎉!.
Congratulations to @UW #UWAllen Ph.D. grads @sharma_ashish_2 & @sewon__min, @TheOfficialACM Doctoral Dissertation Award honorees! Sharma won for #AI tools for mental health; Min received honorable mention for efficient, flexible language models. #ThisIsUW
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RT @saumyamalik44: I’m thrilled to share RewardBench 2 📊— We created a new multi-domain reward model evaluation that is substantially harde….
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RT @StellaLisy: 🤯 We cracked RLVR with. Random Rewards?!.Training Qwen2.5-Math-7B with our Spurious Rewards improved MATH-500 by:.- Rando….
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RT @percyliang: What would truly open-source AI look like? Not just open weights, open code/data, but *open development*, where the entire….
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RT @seungonekim: Glad to share that our AgoraBench paper has been accepted at @aclmeeting 2025 (main)! Special thanks to our coauthors @sco….
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RT @goncalorafaria: Introducing 𝗤𝗔𝗹𝗶𝗴𝗻🚀, a 𝘁𝗲𝘀𝘁-𝘁𝗶𝗺𝗲 𝗮𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁 𝗺𝗲𝘁𝗵𝗼𝗱 that improves language model performance using Markov chain Monte Car….
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RT @liujc1998: Today we're unveiling OLMoTrace, a tool that enables everyone to understand the outputs of LLMs by connecting to their train….
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RT @taoyds: 🚀After a year of development based on our OSWorld, Computer Use Agent Arena is LIVE! . Test top AI agents (Operator, Claude 3.7….
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RT @BowenWangNLP: 🎮 Computer Use Agent Arena is LIVE! 🚀.🔥 Easiest way to test computer-use agents in the wild without any setup.🌟 Compare t….
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RT @alisawuffles: We created SuperBPE🚀, a *superword* tokenizer that includes tokens spanning multiple words. When pretraining at 8B scale….
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As the evaluation of LMs becomes increasingly complex and broad, how can we draw insights beyond simple metrics? Check out our latest work led by @ZhiyuanZeng_ !.
Is a single accuracy number all we can get from model evals?🤔.🚨Does NOT tell where the model fails.🚨Does NOT tell how to improve it. Introducing EvalTree🌳.🔍identifying LM weaknesses in natural language.🚀weaknesses serve as actionable guidance. (paper&demo 🔗in🧵). [1/n]
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RT @allen_ai: Announcing OLMo 2 32B: the first fully open model to beat GPT 3.5 & GPT-4o mini on a suite of popular, multi-skill benchmarks….
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RT @HannaHajishirzi: Excited to drive innovation and push the boundaries of open, scientific AI research & development! 🚀 Join us at @allen….
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RT @_awettig: 🤔 Ever wondered how prevalent some type of web content is during LM pre-training?. In our new paper, we propose WebOrganizer….
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RT @thinkymachines: Today, we are excited to announce Thinking Machines Lab (, an artificial intelligence research….
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