Endless Terminals: Scaling RL Environments for Terminal Agents
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2601.16443
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Published
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16
Reading
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Linear representations in language models can change dramatically over a conversation
Paper • 2601.20834 • Published • 21 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 98 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 40 -
DeepSearchQA: Bridging the Comprehensiveness Gap for Deep Research Agents
Paper • 2601.20975 • Published • 9 -
Retrieval-Infused Reasoning Sandbox: A Benchmark for Decoupling Retrieval and Reasoning Capabilities
Paper • 2601.21937 • Published • 19 -
Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR
Paper • 2602.05261 • Published • 48 -
EgoActor: Grounding Task Planning into Spatial-aware Egocentric Actions for Humanoid Robots via Visual-Language Models
Paper • 2602.04515 • Published • 37 -
F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare
Paper • 2602.06717 • Published • 68 -
OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration
Paper • 2602.05400 • Published • 289