Who's Who of AI

Kanishka Misra

306 trust researcher @kanishka.bsky.social · 2,561 followers
AI research NLP & language
Why they matter

Researcher with public evidence across AI research, NLP & language.

AI signals
7
past 30d
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6
distinct domains
Discussions
3
past 30d
Latest signal
3d ago
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Assistant Professor of Linguistics, and Harrington Fellow at UT Austin. Works on computational understanding of language, concepts, and generalization. 🕸️👁️: https://kanishka.website
What they're sharing

Articles & links

↻ Kanishka Misra reposted
Maria Antoniak @mariaa.bsky.social

Lillian highly recommends this paper: aclanthology.org/2026.acl-lon... about errors made by coding agents

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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↻ Kanishka Misra reposted
Tom McCoy @rtommccoy.bsky.social

🤖🧠NEW PAPER🧠🤖 What is the relationship between neural networks & symbolic systems? Based on evidence from mechanistic interpretability, we argue for a quasi-symbolic view of cognition: Neural nets implement symbols but only approximately Link: www.sciencedirect.com/science/art…

sciencedirect.com View on Bluesky →
↻ Kanishka Misra reposted
Tomer Ullman @tomerullman.bsky.social

new preprint: "Directing large language models to follow the letter or spirit of the law" arxiv.org/pdf/2609.23083 (by Qian , Li, Chen, Murthy @soniakmurthy.bsky.social , Belinkov, and me) this is particularly cool/important, and I'm allowed to say it because it was headed by …

arxiv.org View on Bluesky →
↻ Kanishka Misra reposted
Tom McCoy @rtommccoy.bsky.social

🤖🧠 New commentary 🧠🤖 What role should large language models (LLMs) play in linguistics? I reflect on this question in a commentary now on arXiv: arxiv.org/abs/2605.10061 To appear in BBS as a commentary on @futrell.bsky.social and @kmahowald.bsky.social's excellent piece on LL…

[2605.10061] Not-So-Strange Love: Language Models and Generative Linguistic Theories are More Compatible than They Appear arxiv.org View on Bluesky →

I will be at #ACL2026 from July 2--7! I will be giving a keynote at CDL workshop on controlled rearing and hypothesis generation from language models! Tianyang Xu (first author) and I will present work on cross-modal generalization in VLMs on July 7! Paper: aclanthology.org/20…

Cross-Modal Taxonomic Generalization in (Vision-) Language Models aclanthology.org
AI Weekly's analysis →
  • Frozen Qwen3 and Llama 3.2 language models, paired with DINOv2 or SigLIP image encoders, predicted object hypernyms they never saw during training.
  • On hypernymy questions alone, Qwen3-0.6B scored 78.5 F1 and Qwen3-1.7B reached 88.5 F1, against a 46.7 majority-label baseline.
  • The generalization broke when researchers shuffled image-label pairs across categories, dropping average visual coherence from 0.27 to 0.12.
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View on Bluesky · ♥ 15 ↻ 3 ↩ 2 · 2 from the directory shared this · 138d ago
↻ Kanishka Misra reposted
@seantrott.bsky.social

New paper out at Computational Linguistics! "Mechanistic Convergence and Divergence Across LLM Instances: Axes of Correspondence for Generalizable Interpretability Research" direct.mit.edu/coli/article...

direct.mit.edu View on Bluesky →
↻ Kanishka Misra reposted
@ibandlank.bsky.social

Do language models know who did what to whom? Led by grad student @josephdenning.bsky.social, and Hannah Guo (when she was the first undergrad RA in the lab!)

direct.mit.edu View on Bluesky →
Their own posts

Recent commentary

Do ARR reviewers not realize that the ACs/SACs see their names, even when they use AI to generate their reviews and yet declare that they haven't used any (in the form)?

View on Bluesky · ♥ 4 ↻ 0 ↩ 1 · 67d ago

we live in a world where if you search for "x ai" but have a typo in "x" it still returns a valid ai company 🙏

View on Bluesky · ♥ 2 ↻ 0 ↩ 0 · 170d ago
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