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chenhaotan.bsky.social @chenhaotan.bsky.social · 29/08/2025

We are proposing the second workshop on AI & Scientific Discovery at EACL/ACL. The workshop will explore how AI can advance scientific discovery. Please use this Google form to indicate your interest (corrected link): forms.gle/MFcdKYnckNno... More in the 🧵! Please share! #MLSky 🧠

forms.gle

Program Committee Interest for the Second Workshop on AI & Scientific Discovery

We are proposing the second workshop on AI & Scientific Discovery at EACL/ACL (Annual meetings of The Association for Computational Linguistics, the European Language Resource Association and Internat...

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Ethan Mollick @emollick.bsky.social · 27/06/2025

Claude Sonnet 3.5 generated significantly better ideas for research papers than humans but when researchers tried executing the ideas the gap between human & AI idea quality vanished Execution is a harder problem for AI. (Yet this is a better outcome for AI than I expected) arxiv.org/abs/2506.20803

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LM4Sci @ COLM2025 @lm4sci.bsky.social · 22/06/2025

Deadline Extended! Submit to the LM4Sci Workshop @ COLM 2025 in Montreal 🇨🇦 🧠 Large Language Modeling for Scientific Discovery (LM4Sci) 📅 New Deadline: June 30 📢 Notification: July 24 📍 Workshop: Oct 10, 2025 📝 Non-archival short (2–4p) & full (up to 8p) papers welcome!

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LM4Sci @ COLM2025 @lm4sci.bsky.social · 14/06/2025

🚨 Call for Papers: LM4Sci @COLM_conf 2025 🚨 Excited to announce the Large Language Modeling for Scientific Discovery (LM4Sci) workshop at COLM 2025 in Montreal, Canada! Submission Deadline: June 23 Notification: July 24 Workshop: October 10, 2025

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Emma Strubell @strubell.bsky.social · 12/02/2025

Ok here's the theory so far for how the LLM-generated ARR submission experiment went down. Researchers generated papers, then created fake reviewer profiles by identifying existing papers from a real author st the set of papers would maximize expertise affinity score wrt the LLM-generated paper.

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Hao Zhu 朱昊 @zhuhao.me · 10/12/2024

My first bluesky post will be for my first project as a postdoc at Stanford. Talk Arena is our first step towards building audio LMs into interactive agents. Try it out and let me know what you think. talkarena.org

talkarena.org

Talk Arena

Interactive evaluation for audio models

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Will Held @williamheld.com · 10/12/2024

With an increasing number of Large *Audio* Models 🔊, which one do users like the most? Introducing talkarena.org — an open platform where users speak to LAMs and receive text responses. Through open interaction, we focus on rankings based on user preferences rather than static benchmarks. 🧵 (1/5)

Talk Arena: Interactive Evaluation of Large Audio Models

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