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Han Wang

@hwang98.bsky.social

170 followers 354 following 2 posts

PhD student @unc @unccs @uncnlp; Formerly Intern @AmazonScience @MSFTResearch @NlpWestlake. RT & like ≠ endorsements. Views are my own. He/him hannight.github.io

Posts Replies Media

Reposted by Han Wang

Archiki Prasad @archiki.bsky.social · 18/04/2025

🚨Real-world retrieval is messy: queries are ambiguous or docs conflict & have incorrect/irrelevant info. How can we jointly address these problems? ➡️RAMDocs: challenging dataset w/ ambiguity, misinformation & noise ➡️MADAM-RAG: multi-agent framework, debates & aggregates evidence across sources 🧵⬇️

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Reposted by Han Wang

Mohit Bansal @mohitbansal.bsky.social · 27/01/2025

🎉 Congrats to the awesome students, postdocs, & collaborators for this exciting batch of #ICLR2025 and #NAACL2025 accepted papers (FYI some are on the academic/industry job market and a great catch 🙂), on diverse, important topics such as: -- adaptive data generation environments/policies ... 🧵

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Reposted by Han Wang

Mohit Bansal @mohitbansal.bsky.social · 15/01/2025

Deeply honored & humbled to have received the Presidential #PECASE Award by the @WhiteHouse and @POTUS office! 🙏 Most importantly, very grateful to my amazing mentors, students, postdocs, collaborators, and friends+family for making this possible, and for making the journey worthwhile + beautiful 💙

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Jaemin Cho @jmincho.bsky.social · 07/12/2024

🚨 I’m on the academic job market! j-min.io I work on ✨Multimodal AI✨, advancing reasoning in understanding & generation by: 1⃣ Making it scalable 2⃣ Making it faithful 3⃣ Evaluating + refining it Completing my PhD at UNC (w/ @mohitbansal.bsky.social). Happy to connect (will be at #NeurIPS2024)! 👇🧵

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Han Wang @hwang98.bsky.social · 06/12/2024

Elias is a brilliant and supportive researcher and mentor, and I am enjoying collaborating with him. I can't wait to see what he will achieve as a professor!

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Reposted by Han Wang

Justin Chih-Yao Chen @cyjustinchen.bsky.social · 02/12/2024

🚨 Reverse Thinking Makes LLMs Stronger Reasoners We can often reason from a problem to a solution and also in reverse to enhance our overall reasoning. RevThink shows that LLMs can also benefit from reverse thinking 👉 13.53% gains + sample efficiency + strong generalization (on 4 OOD datasets)!

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