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: 4
Sources: 3
Discussões: 6
Latest signal: 13d ago

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

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.

Read full analysis →

View on Bluesky · ♥ 15 ↻ 3 ↩ 2 · 2 from the directory shared this · 29d ago

Excited that our paper on minimal translation pairs for ASL was recognized with a best paper award at the Workshop on Generative AI for Sign Language @ CVPR 2026! Congrats to my co-authors @skarabuklu.bsky.social, Shester, Diane, Greg, and Karen! Paper: arxiv.org/abs/2604.27232

Targeted Linguistic Analysis of Sign Language Models with Minimal Translation Pairs arxiv.org

View on Bluesky · ♥ 13 ↻ 2 ↩ 0 · 13d ago

↻ Kanishka Misra reposted

Kyle Mahowald @kmahowald.bsky.social

The full BBS treatment from me and @futrell.bsky.social on "How linguistics learned to stop worrying and love the LMs" is now out, with all the commentaries and our response. If you "Save PDF", it will give you the whole target article + commentary + response pdf: www.cambridg…

How linguistics learned to stop worrying and love the language models | Behavioral and Brain Sciences | Cambridge Core cambridge.org View on Bluesky →

↻ Kanishka Misra reposted

@dotadotadota.bsky.social

Check out our #ACL2026 Oral paper 🗣️🤖 How do MLMs ground word usage through interactions with the physical and social world? Taking a classical human communication paradigm, we compare 7 MLMs with humans. doi.org/10.18653/v1/2026.acl-long.84

Using Perspectival Words Is Harder Than Vocabulary Words for Humans —and Even More So for Multimodal Language Models aclanthology.org View on Bluesky →

↻ Kanishka Misra reposted

@nyudatascience.bsky.social

Can a grammar book replace training data for AI translation? NYU Linguistics PhD student Jackson Petty (@jacksonpetty.org), CDS Assoc. Prof. Tal Linzen (@tallinzen.bsky.social), and CDS MS student Jaulie Goe tested this with synthetic languages. nyudatascience.medium.com/can-a…

Can AI Learn a Language from a Textbook? nyudatascience.medium.com View on Bluesky →

Their own posts

Recent commentary

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 · 61d ago

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