Shikhar Murty

@shikharmurty.bsky.social

Final year PhD Student in Computer Science @Stanford Work on: - Compositionality, syntax (language structure) - Web Agents: Synthetic data, tree search, exploration (language interpretation)

Ever dreamed of AI agents learning through interacting with the open world unsupervisedly? Our latest preprint introduces NNetNav-Live which collects training data through exploration on real websites and hindsight labeling, which produces a SOTA OSS agent.

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Want to make a browser agent for *any* domain like banking or healthcare? We propose methods for training LLMs with open-ended, unsupervised interaction on live websites: ✅ OSS SoTA on WebVoyager ✅ world's smallest high-performing web-agent Try it here: nnetnav.dev

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🚨 Thrilled to share that Compositional Generalization Across Distributional Shifts with Sparse Tree Operations received a spotlight award at #NeurIPS2024! 🌟 I'll present a poster on Tuesday and give an invited lightning talk at the System 2 Reasoning Workshop on Sunday. 🧵👇

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Folks, I'm not going to be at Neurips this year, but we have an *awesome* workshop that i'm super proud of. Go attend, and use the link below to ask all of your burning questions about LLM reasoning, agents and compositionality!

Nouha Dziri@nouhadziri.bsky.social · 2y ago

🎊Excited for #neurips2024 and our "System 2 Reasoning at Scale" workshop. We have an excited lineup of speakers who will answer your most burning questions about AI and reasoning 🚀 🔥Got spicy questions? Submit & vote here: app.sli.do/event/dJNU63...

What is a probing task that is purely about semantics? Context: I have a probe trained to predict dependency relations, and would like to train another one on a semantics only task (for research purposes)

Hot take (since it's still just friends on this platform): It's crazy how the classic "sample and rerank" baseline from machine translation and IR, got re-branded as "scaling up inference-time compute".