Darshan

Past: Research @GoogleDeepMind (Gemini) | @iiit_hyderabad

[AIDB @ai_database]

Googleの研究者らによると、LLMにどの言語で質問するかで回答の安定性がブレるときでも、「知識自体が言語に依存しているわけではない」そうです。

例えば、英語ではほぼ確実に正解を導き出す質問でも日本語では正解したり誤答になったりする場合があります。
しかし、その際「英語で保存されている知識」と「日本語で保存されている知識」がLLM内部で別々に存在するわけではないということです。
記憶そのものは確かにあるものの、ただ単に言語によって自信の度合いが変化してしまうのです。

研究者らがこの結論にたどり着いたのは、同じ質問を10回繰り返して多数決を取ったり、質問文を複数の言語に翻訳して同時に見せたりする実験をした結果です。

ユーザー目線では、LLMの知識面に期待する質問を投げる場合は、翻訳を併用したり、あるいは何度か回答をさせて数が多い回答を採用する手段をとるのが性能向上に役立つかもしれません。

[Darshan @thought2vec]

@asvs_kartheek @CVPR Thanks Kartheek!

[Darshan @thought2vec]

Thanks for the recognition @CVPR 🙏

[Darshan @thought2vec]

Check out this amazing work by @Harman26Singh and team @AIatMeta! Traditionally, agents are evaluated on how good they are at a task. But as agents run longer, an equally important question is how efficiently they improve with experience (plasticity). Turns out capability and plasticity are pretty different things.

[Harman Singh @ ICML 🇰🇷🇰🇷 @Harman26Singh]

🤖 How well do agents learn from experience?

We study agents that amortize experience into reusable artifacts and introduce Agent Plasticity to measure how efficiently they improve on held-out environments.

Top performer ≠ most efficient learner.

[Makarand Tapaswi @MakarandTapaswi]

Great work, important to benchmark on the right things! Happy to see that VELOCITI, our CVPR 2025 work survives! 🎉

Try it out, short 10 second videos that stump many models.
https://t.co/eKJFHyO2ys

[Darshan @thought2vec]

@Pragya2k Congrats, Pragya!!

[Harman Singh @ ICML 🇰🇷🇰🇷 @Harman26Singh]

Excited to be at ICML'26 🇰🇷 from July 6 onward!

I'll be presenting papers on Reasoning, RL and Diffusion Language Models.

Would love to chat about RL for agents, text-optimization, self-improvement, and diffusion LMs.

See you in Seoul 🚀

Paper threads and details below 👇

[Arsha Nagrani @NagraniArsha]

Check out this new work by Darshan and gang! Really enjoyed working on non-western, non-english domains with such an amazing team. At CVPR this year!

[Darshan @thought2vec]

@ChuhanZhang5 This is amazing! Congrats!!

[Darshan @thought2vec]

Super thrilled to share that our work, SRL-CLIP, won the Best Paper Award at the CV4Smalls #CVPR2026 workshop! 🏆 Huge thanks to my amazing co-authors @zeeshank95 and @MakarandTapaswi .

Also, a big thank you to the organizers (@shaydamoezzi and team) for putting together such a thoughtful workshop. With the current trend of "scaling everything," it is incredibly refreshing to focus on data inefficiency as a design opportunity rather than a limitation. Data efficiency is one of the main pillars needed to improve real-world video understanding.

[Darshan @thought2vec]

Hi all! Today I will present our work, SRL-CLIP, a recipe to efficiently adapt CLIP to videos at the CV4Smalls CVPR workshop in Room 102. I have an oral talk scheduled at 2 pm followed by the poster session. Please do stop by! Work done with @zeeshank95 @MakarandTapaswi #CVPR2026

[Darshan @thought2vec]

MINERVA-Cultural is a step toward helping the world build more equitable and diverse VLMs 🌍. Huge thanks to all my co-authors and the team!. Check out the paper here: https://t.co/b6L08Ix1t2 and the dataset here: https://t.co/W3K2me5WS6 #CVPR2026 #AI #ComputerVision (7/7)

[Darshan @thought2vec]

Frontier models have become excellent at understanding videos. But what happens when we test them outside the comfort zone of Western, English-centric data? In our #CVPR2026 (Highlight) work, we pushed these models to their limits to see if they can function effectively in diverse global contexts. The results? They are struggling. Work done with @NagraniArsha @skawshik11 @Harman26Singh @dinesh_tewari1 @0xtob @CordeliaSchmid Anelia Angelova @shachi_dave (1/7)

[Darshan @thought2vec]

This allows us to independently assess each intermediate step of the model's thought process. 🔍 Through our graph-based error tracing, we discovered that roughly 75% of all model failures actually stem from the visual perception of cultural elements. 🤯(6/7)

[Darshan @thought2vec]

Hi all! Today I will present our work, SRL-CLIP, a recipe to efficiently adapt CLIP to videos at the CV4Smalls CVPR workshop in Room 102. I have an oral talk scheduled at 2 pm followed by the poster session. Please do stop by! Work done with @zeeshank95 @MakarandTapaswi #CVPR2026

[Darshan @thought2vec]

Grateful to be recognized as an Outstanding reviewer at #CVPR2026. Always happy to do my part and give back to the community. This CVPR is very special for me because we also have 1 Main paper (Highlight) and 1 workshop paper (Best paper candidate). See you all in Denver! 🚀

[#CVPR2027 @CVPR]

We are grateful to all of the 17,491 reviewers who helped make #CVPR2026 possible. We are especially pleased to recognize the following Outstanding Reviewers, whose high-quality reviews (as judged by their Area Chairs) placed them among the top 5% of reviewers.

[Project Aria @Meta @meta_aria]

The Project Aria team is excited to be part of the Third Joint Egocentric Vision (EgoVis) Workshop at #CVPR2026! 👓✨

Don’t miss the latest Project Aria updates as we dive into the future of egocentric perception. Check out the full program of invited speakers below!

📅 June 3, 2026
📍 Colorado Convention Center | Room 704/706
🔗 https://t.co/g1FA6Cx4RU

⚡️@liuziwei7 , @mapo1 , @doughty_hazel