It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning Paper • 2609.00638 • Published 4 days ago • 67
SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers Paper • 2609.01343 • Published 4 days ago • 88
UrbanGround: From Local Perception to Spatial Agency in a Real-Scale City Paper • 2608.27456 • Published 9 days ago • 111
Running Featured 767 Agent Memory Leaderboard 🧠767 Unified memory evaluation · Results expected August 12.
Co-RL: Unsupervised Reasoning Emerges from Diverse Cohort in Multi-agent RL Paper • 2608.17253 • Published 17 days ago • 96
Agentic ESOpt: Fine-Tuning Long-Horizon LLM Agents with Minimal GPU Requirements Paper • 2608.17310 • Published 18 days ago • 108
LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Paper • 2608.06867 • Published 29 days ago • 111
How Can Rhetoric Reward-Hack AI Reviewers? Dissecting Rhetorical Sensitivity in AI-Based Peer Review Paper • 2608.08975 • Published 26 days ago • 48
MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision Paper • 2606.17162 • Published Jun 15 • 178
Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models Paper • 2606.11324 • Published Jun 9 • 173
FastContext: Training Efficient Repository Explorer for Coding Agents Paper • 2606.14066 • Published Jun 12 • 96
Measuring Epistemic Resilience of LLMs Under Misleading Medical Context Paper • 2606.12291 • Published Jun 10 • 60
On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Paper • 2606.02437 • Published Jun 1 • 245
Domino: Decoupling Causal Modeling from Autoregressive Drafting in Speculative Decoding Paper • 2605.29707 • Published May 28 • 152
Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Paper • 2605.28816 • Published May 27 • 434
OpenComputer: Verifiable Software Worlds for Computer-Use Agents Paper • 2605.19769 • Published May 19 • 89
MinT: Managed Infrastructure for Training and Serving Millions of LLMs Paper • 2605.13779 • Published May 13 • 226
δ-mem: Efficient Online Memory for Large Language Models Paper • 2605.12357 • Published May 12 • 133