5 papers
OpenRUA: Robot-Use Agents Are Zero-Shot Visuomotor Policies
Zhaoyang Chu, Earl T. Barr, Claire Le Goues +4
Coding agents are extending their reach into the physical world by writing and executing robot control programs. One might expect the agents to use the existing mature software sta…
TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks
Zhaoyang Chu, Jiarui Hu, Xingyu Jiang +8
We introduce TerminalWorld, a scalable data engine that automatically reverse-engineers high-fidelity evaluation tasks from "in-the-wild" terminal recordings. Processing 80,870 ter…
WybeCoder: Verified Imperative Code Generation
Fabian Gloeckle, Mantas Baksys, Darius Feher +5
Recent progress in large language models (LLMs) has substantially advanced automatic code generation and formal theorem proving, yet software verification has not seen comparable g…
CWM: An Open-Weights LLM for Research on Code Generation with World Models
FAIR CodeGen team, Jade Copet, Quentin Carbonneaux +48
We release Code World Model (CWM), a 32-billion-parameter open-weights LLM, to advance research on code generation with world models. To improve code understanding beyond what can…
Logic.py: Bridging the Gap between LLMs and Constraint Solvers
Pascal Kesseli, Peter O'Hearn, Ricardo Silveira Cabral
We present a novel approach to formalise and solve search-based problems using large language models, which significantly improves upon previous state-of-the-art results. We demons…