Deep Fusion Memory: A Chunk-Level Parametric Memory for Large Language Models Paper • 2610.25100 • Published 5 days ago • 30
Embodied Task Agents Can Perform Fine Manipulation through Tactile In-Context Learning Paper • 2610.27613 • Published 3 days ago • 22
HarnessPro: Recursive Harness Self-Improvement with Pareto Optimization for Performance-Cost Trade-offs Paper • 2610.26770 • Published 4 days ago • 32
Can World and Action Modeling Benefit Each Other under Unified Causal Training? Paper • 2610.21095 • Published 8 days ago • 36
EVOKE: Eliciting World Knowledge in Agents for Transferable Decision-Making Paper • 2609.38334 • Published 22 days ago • 76
SAKI: Maximal-Coupling-Routed Teacher Supervision for On-Policy Distillation Paper • 2609.36601 • Published 24 days ago • 94
What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents Paper • 2608.27260 • Published Aug 27 • 75
Unlocking the Potential of Image Editing via Concept Scaling and Dense Supervision Paper • 2608.16812 • Published Aug 17 • 51
HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Paper • 2608.06301 • Published Aug 6 • 36 • 3
EffectLearner: World-Aware Object-Effect Reasoning for Real-World Video Object Removal Paper • 2608.05565 • Published Aug 6 • 23
PCSD: Persistent Consistency for Self-Distillation in Agentic Reinforcement Learning Paper • 2608.01837 • Published Aug 3 • 39
Progressive Agent Skill Generation via Reinforcement Learning Paper • 2608.01678 • Published Aug 3 • 60
From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search Paper • 2607.24280 • Published Jul 27 • 85
Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing Paper • 2607.19064 • Published Jul 21 • 78
CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era Paper • 2602.23452 • Published Feb 26 • 18