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)
Work on:
- Compositionality, syntax (language structure)
- Web Agents: Synthetic data, tree search, exploration (language interpretation)
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]
February 6, 2025 at 5:43 PM
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]
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]
February 6, 2025 at 5:43 PM
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]
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]
February 6, 2025 at 5:43 PM
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]
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
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
February 6, 2025 at 5:43 PM
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
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
Asked GPT-4o to draw parse trees in two languages:
November 21, 2024 at 5:49 AM
Asked GPT-4o to draw parse trees in two languages: