LEGO-RL: Harness-Native Reinforcement Learning for Coding Agents Paper • 2608.17393 • Published Aug 18 • 27
SWE-Review: Closing the Loop on Issue Resolution with Agentic Code Review Paper • 2607.06065 • Published Jul 7 • 11
UI-Mate: Advancing Open-Weight Foundation GUI Agents with In-Context Demonstrations Paper • 2608.15930 • Published Aug 16 • 48
Prefilling-dLLM: Predictive Prefilling for Long-Context Inference in Diffusion Language Models Paper • 2606.10537 • Published Jun 9
MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research Agents Paper • 2601.12346 • Published Jan 18 • 52
From Verifiable Dot to Reward Chain: Harnessing Verifiable Reference-based Rewards for Reinforcement Learning of Open-ended Generation Paper • 2601.18533 • Published Jan 26
GRPO-VPS: Enhancing Group Relative Policy Optimization with Verifiable Process Supervision for Effective Reasoning Paper • 2604.20659 • Published Apr 22 • 1
What Makes Interaction Trajectories Effective for Training Terminal Agents? Paper • 2606.03461 • Published Jun 2 • 4
Self-Rewarding Sequential Monte Carlo for Masked Diffusion Language Models Paper • 2602.01849 • Published Feb 2 • 5
MiroEval: Benchmarking Multimodal Deep Research Agents in Process and Outcome Paper • 2603.28407 • Published Mar 30 • 70
MARS: Enabling Autoregressive Models Multi-Token Generation Paper • 2604.07023 • Published Apr 8 • 37
MARS: Enabling Autoregressive Models Multi-Token Generation Paper • 2604.07023 • Published Apr 8 • 37
SWE-Lego: Pushing the Limits of Supervised Fine-tuning for Software Issue Resolving Paper • 2601.01426 • Published Jan 4 • 25
LongEmotion: Measuring Emotional Intelligence of Large Language Models in Long-Context Interaction Paper • 2509.07403 • Published Sep 9, 2025 • 31
Electrocardiogram Instruction Tuning for Report Generation Paper • 2403.04945 • Published Mar 7, 2024 • 2