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Shikhar Murty

@shikharmurty.bsky.social
486 followers 124 following 24 posts

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

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Shikhar Murty @shikharmurty.bsky.social · 14/02/2025
“casual interception” as defined in \citep{}…
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Reposted by Shikhar Murty
Hao Zhu 朱昊 @zhuhao.me · 06/02/2025
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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Shikhar Murty @shikharmurty.bsky.social · 06/02/2025
controlling a browser / computer! but requires a bit more tooling to set it up.
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Shikhar Murty @shikharmurty.bsky.social · 06/02/2025
Please check out our paper for more details: arxiv.org/pdf/2410.02907 And our code if you want a NNetNav-ed model for your own domain: github.com/MurtyShikhar... Done with collaborators: @zhuhao.me, Dzmitry Bahdanau and @chrmanning.bsky.social
arxiv.org
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Shikhar Murty @shikharmurty.bsky.social · 06/02/2025
We find that cross-website robustness is limited, and almost always, performance goes up from incorporating in-domain nnetnav data. This makes it even more important to work on unsupervised learning for agents - how are you going to collect human data for *any* website? [6/n]
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Shikhar Murty @shikharmurty.bsky.social · 06/02/2025
We use this data for SFT-ing LLama3.1-8b. Our best models outperform zero-shot GPT-4 on both WebArena and WebVoyager, and reach SoTA performance among unsupervised methods for both datasets [5/n]
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Shikhar Murty @shikharmurty.bsky.social · 06/02/2025
We use NNetNav to collect around 10k workflows for over 20 websites including 15 live websites, and 5 self-hosted websites. Data is available on 🤗: huggingface.co/datasets/sta... huggingface.co/datasets/sta... [4/n]
huggingface.co
stanfordnlp/nnetnav-live · Datasets at Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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Shikhar Murty @shikharmurty.bsky.social · 06/02/2025
Main ideas behind NNetNav exploration 1 complex goals have intermediate subgoals thus complex trajectories must have meaningful sub-trajectories 2 Use an LM instruction relabeler + judge to test if trajectory-so-far is meaningful. If yes, continue exploring, otherwise prune [3/n]
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Shikhar Murty @shikharmurty.bsky.social · 06/02/2025
NNetNav uses a structured exploration method to efficiently search and collect traces on live-websites, which are retroactively labeled into instructions, finding a strikingly diverse set of workflows for any website (e.g. like this plot) [2/n]
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Shikhar Murty @shikharmurty.bsky.social · 06/02/2025
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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Shikhar Murty @shikharmurty.bsky.social · 28/12/2024
going to stay off twitter for my own mental health. something has gone horribly wrong with that platform.
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Shikhar Murty @shikharmurty.bsky.social · 15/12/2024
Couldn't make it to NeurIPS due to work, but do check out our workshop happening in West Ballroom B. Lots of cool things to come, including a very fun panel!
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Reposted by Shikhar Murty
Robert Csordas @robertcsordas.bsky.social · 12/12/2024
Come visit our poster "MoEUT: Mixture-of-Experts Universal Transformers" on Friday at 4:30 in East Exhibit Hall A-C #1907 on #NeurIPS2024. With Kazuki Irie, Jürgen Schmidhuber, Christopher Potts and @chrmanning.bsky.social.
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Reposted by Shikhar Murty
Stanford NLP Group @stanfordnlp.bsky.social · 09/12/2024
The extraordinary recent takeover of ML/AI by #NLP is well-known but insufficiently reflected on. Look at the @neuripsconf.bsky.social tutorials in 2024! neurips.cc/virtual/2024... 14 tutorials; 6 have "LLM" in the title; 4 more cover foundation models, with large NLP coverage. That's > 70% 😲
neurips.cc
NeurIPS 2024 TutorialsNeurIPS 2024
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Reposted by Shikhar Murty
Paul Soulos @paulsoulos.bsky.social · 09/12/2024
🚨 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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Reposted by Shikhar Murty
Alexandre Lacoste @alex-lacoste.bsky.social · 03/12/2024
🧵-1 We are thrilled to release #AgentLab, a new open-source package for developing and evaluating web agents. This builds on the new #BrowserGym package which supports 10 different benchmarks, including #WebArena.
AgentLab diagram.

The image describes AgentLab, a framework for efficient parallel experiments with agents. It highlights:

Core Agent Features:

Dynamic Prompting and a Unified LLM API for interacting with large language models.
BrowserGym Platform:

A tool for testing agents on benchmarks like WebArena, WorkArena, MiniWoB, and others.
Key Features:

Reproducibility, a Unified Leaderboard, an analysis tool called Xray, and a Dataset for sharing agent traces.
Blue elements represent AgentLab components.
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Shikhar Murty @shikharmurty.bsky.social · 03/12/2024
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!
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Reposted by Shikhar Murty
Nouha Dziri @nouhadziri.bsky.social · 03/12/2024
🎊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...
app.sli.do
Join Slido: Enter #code to vote and ask questions
Participate in a live poll, quiz or Q&A. No login required.
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Shikhar Murty @shikharmurty.bsky.social · 27/11/2024
I also wear the AI agents researcher hat. Can't say i'm similarly impressed by reviewers in that community...
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Shikhar Murty @shikharmurty.bsky.social · 27/11/2024
ACL syntax track reviewers >> almost any other conference. These folks care about their sub-field and i learn something new every time!
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Shikhar Murty @shikharmurty.bsky.social · 26/11/2024
Now, reviewers are upset if we only finetune sub 10B parameter models!
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Shikhar Murty @shikharmurty.bsky.social · 25/11/2024
for more context: we are training the probe on sentences from PTB / BLIMP
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Shikhar Murty @shikharmurty.bsky.social · 25/11/2024
thx for sharing, though semantic parsing almost certainly benefits from modeling syntax :)
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Shikhar Murty @shikharmurty.bsky.social · 24/11/2024
SRL probe still rewards hidden states that model dependency relations, no? would like a probe thats agnostic to how well the underlying network models syntax
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Shikhar Murty @shikharmurty.bsky.social · 24/11/2024
could i get added? thx for making this!!
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Shikhar Murty @shikharmurty.bsky.social · 24/11/2024
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)
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Shikhar Murty @shikharmurty.bsky.social · 21/11/2024
To be fair, after some prompt engineering: German: (S (NP (DT Der) (NN Mann)) (VP (VB mag) (NP (JJ schwarze) (NNS Katzen)))) Japanese: (S (NP (NN Otoko) (PP wa)) (VP (NP (JJ kuro) (NN neko) (PP ga))
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Shikhar Murty @shikharmurty.bsky.social · 21/11/2024
Asked GPT-4o to draw parse trees in two languages:
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Shikhar Murty @shikharmurty.bsky.social · 21/11/2024
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".
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Shikhar Murty @shikharmurty.bsky.social · 20/11/2024
nothing but blue skies, for posting puns
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