Who's Who of AI

Najoung Kim

137 trust @najoung.bsky.social · 562 followers
Why they matter

Tracked through public AI activity and peer connections inside the directory.

AI signals
3
past 30d
Sources
2
distinct domains
Discusiones
0
past 30d
Latest signal
4d ago
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https://najoung.kim langauge
What they're sharing

Articles & links

Audrey is leading our human-in-the-loop research agent evaluation project, as a follow-up to RExBench focusing on ideation capabilities. She's looking to recruit participants & get thoughts our experiment setup! aclanthology.org/2026.acl-lon...

RExBench: Can coding agents autonomously implement AI research extensions? aclanthology.org
AI Weekly's analysis →
  • The best LLM coding agent on RExBench completed roughly 33% of 12 realistic research-paper extensions autonomously, with no hints.
  • Adding human-written hints lifted the best success rate, but it still stayed below 44% across all agents tested.
  • The benchmark evaluates 12 LLM agents across two frameworks, aider and OpenHands, on expert-authored extension tasks with automated scoring.
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View on Bluesky · ♥ 1 ↻ 0 ↩ 0 · 3 from the directory shared this · 26d ago

support presenting rule- vs. example-based in LLMs: arxiv.org/abs/2609.03213

LLMs Learn Better In-Context from Rules than from Examples arxiv.org
AI Weekly's analysis →
  • Across five tasks spanning games, arithmetic and linguistic inference, LLMs learned more reliably from written rules than from input-output examples.
  • Stacking more examples on top of rules produced no consistent gains, while instruction tuning amplified the rule-based learning advantage.
  • The rule advantage was largest on tasks recruiting algebraic abstractions and smallest on tasks requiring distributional sensitivity or parametric knowledge.
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View on Bluesky · ♥ 2 ↻ 0 ↩ 1 · 2 from the directory shared this · 4d ago
Their own posts

Recent commentary

had a great time giving a talk at the Yale Lingusitics colloquium about "beyond associative insights from AI" (thanks @rtommccoy.bsky.social for hosting), and had lots of fun conversations with the folks there! again featuring my favorite bridge figure:

View on Bluesky · ♥ 20 ↻ 2 ↩ 1 · 6d ago

actually on my way to #EMNLP2026 - excited to hang out in Hungary for the first time (apparently the home to "the most beautiful cafe in the world", thanks @cinnamonlab.ai for this info!). Other than fact checking this claim, i will be around to:

View on Bluesky · ♥ 12 ↻ 0 ↩ 1 · 4d ago
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