always ready to learn something!
professional: pursuing my PhD, working in interpretability in NLP.
personal: movies, languages, books, and historyabhinav271828.github.io Tübingen, DeutschlandJoined September 2021
New paper alert! 🧵👇
We show representations of concepts seen by a model during pretraining can be morphed to reflect novel semantics! We do this by building a task based on the conceptual role semantics "theory of meaning"--an idea I'd been wanting to pursue for SO long!
1/n
Check out our recent work on identifying the limitations and properties of SAEs!
We use formal languages as a synthetic testbed to evaluate the methodology and suggest further steps.
Check out our recent work on identifying the limitations and properties of SAEs!
We use formal languages as a synthetic testbed to evaluate the methodology and suggest further steps.
Can RL fine-tuning endow MLLMs with fine-grained visual understanding?
Using our training recipe, we outperform SOTA open-source MLLMs on fine-grained visual discrimination with ClipCap, a mere 200M param simplification of modern MLLMs!!!
🚨Introducing No Detail Left Behind:…
🚨 Introducing Detect, Describe, Discriminate: Moving Beyond VQA for MLLM Evaluation.
Given an image pair, it is easier for an MLLM to identify fine-grained visual differences during VQA evaluation than to independently detect and describe such differences 🧵(1/n):
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Deep Learning, AI alignment, ethics, policy, & safety.
Formerly Cambridge, Mila, Oxford, DeepMind, ElementAI, UK AISI.
AI is a really big deal.
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Recruiting PhD students (start 2026) 👀
Will irl - TC0 enthusiast
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Forbes 30 under 30.
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Accepting ML/NLP PhD students.
25K Followers 89 FollowingA non-profit research lab focused on interpretability, alignment, and ethics of artificial intelligence.
Creators of GPT-J, GPT-NeoX, Pythia, and VQGAN-CLIP
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