Distilled Reinforcement Learning for LLM Post-training
Paper • 2607.17247 • Published • 12
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upvoted a paper 11 days ago
Distilled Reinforcement Learning for LLM Post-training upvoted a paper 11 days ago
PCSD: Persistent Consistency for Self-Distillation in Agentic Reinforcement Learning upvoted a paper 11 days ago
ATOD: Annealed Turn-aware On-policy Distillation for Multi-turn Autonomous AgentsOrganizations
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upvoted 17
papers 11 days ago
PCSD: Persistent Consistency for Self-Distillation in Agentic Reinforcement Learning
Paper • 2608.01837 • Published • 39
ATOD: Annealed Turn-aware On-policy Distillation for Multi-turn Autonomous Agents
Paper • 2606.27814 • Published • 1
SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution
Paper • 2505.20732 • Published • 2
Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems
Paper • 2602.08847 • Published • 30
LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures
Paper • 2509.14252 • Published • 10
VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Model
Paper • 2602.10098 • Published • 24
A-JEPA: Joint-Embedding Predictive Architecture Can Listen
Paper • 2311.15830 • Published • 1
ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model
Paper • 2603.22281 • Published • 22
Causal-JEPA: Learning World Models through Object-Level Latent Interventions
Paper • 2602.11389 • Published • 13
VL-JEPA: Joint Embedding Predictive Architecture for Vision-language
Paper • 2512.10942 • Published • 63
Latent On-Policy Self-Distillation
Paper • 2608.13040 • Published • 25
Co-Evolving Policy Distillation
Paper • 2604.27083 • Published • 69
OPD-V: Visual On-Policy Self-Distillation with Modality Balance
Paper • 2608.05131 • Published • 14
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Paper • 2506.09985 • Published • 35
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
Paper • 2511.08544 • Published • 14
Unified Latents (UL): How to train your latents
Paper • 2602.17270 • Published • 63
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