MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training
Paper • 2606.30406 • Published • 15
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Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs
Paper • 2606.32032 • Published • 24
Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent
Paper • 2606.30616 • Published • 94
CausalMix: Data Mixture as Causal Inference for Language Model Training
Paper • 2607.01104 • Published • 19
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Projected Abliteration
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Holo3.1: Fast & Local Computer Use Agents
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papers 26 days ago
Toward Generalist Autonomous Research via Hypothesis-Tree Refinement
Paper • 2606.11926 • Published • 126
On the Geometry of On-Policy Distillation
Paper • 2606.07082 • Published • 75
Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks
Paper • 2606.12344 • Published • 71
EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments
Paper • 2606.13681 • Published • 142
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The Open Source Community is backing OpenEnv for Agentic RL
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burtenshaw, spisakjo, lysandre, darktex, willcb, qjoy, pawalt, cwing-nv, danielhanchen, andrewzhou, thegovind, shimmyshimmer, Hamid-Nazeri, Sanyam, zkwentz, emre0, lewtun, sergiopaniego, banghua, unseenmars
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Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler
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ariG23498, sayakpaul, sergiopaniego, ror, pcuenq
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papers about 1 month ago