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Han Wang

@hwang98.bsky.social

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

164 Followers  |  354 Following  |  2 Posts  |  Joined: 22.11.2024  |  1.634

Latest posts by hwang98.bsky.social on Bluesky

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🚨Real-world retrieval is messy: queries are ambiguous or docs conflict & have incorrect/irrelevant info. How can we jointly address these problems?

➑️RAMDocs: challenging dataset w/ ambiguity, misinformation & noise
➑️MADAM-RAG: multi-agent framework, debates & aggregates evidence across sources

πŸ§΅β¬‡οΈ

18.04.2025 17:05 β€” πŸ‘ 14    πŸ” 7    πŸ’¬ 3    πŸ“Œ 0
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πŸŽ‰ 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 πŸ™‚), on diverse, important topics such as:

-- adaptive data generation environments/policies
...
🧡

27.01.2025 21:38 β€” πŸ‘ 18    πŸ” 9    πŸ’¬ 1    πŸ“Œ 0

Deeply honored & humbled to have received the Presidential #PECASE Award by the @WhiteHouse and @POTUS office! πŸ™

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 πŸ’™

15.01.2025 16:45 β€” πŸ‘ 43    πŸ” 8    πŸ’¬ 5    πŸ“Œ 1
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🚨 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)!

πŸ‘‡πŸ§΅

07.12.2024 22:32 β€” πŸ‘ 30    πŸ” 10    πŸ’¬ 2    πŸ“Œ 6

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!

06.12.2024 02:36 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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🚨 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 πŸ‘‰ 13.53% gains + sample efficiency + strong generalization (on 4 OOD datasets)!

02.12.2024 19:29 β€” πŸ‘ 19    πŸ” 11    πŸ’¬ 1    πŸ“Œ 2

πŸ™‹β€β™‚οΈ

22.11.2024 03:06 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

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