How Far Are We from Genuinely Useful Deep Research Agents? Paper • 2512.01948 • Published 5 days ago • 50
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence Paper • 2511.18538 • Published 13 days ago • 238
DRIVE: Data Curation Best Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation Paper • 2511.06307 • Published 27 days ago • 50
UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction-as-Reasoning Paper • 2510.20286 • Published Oct 23 • 23
ACADREASON: Exploring the Limits of Reasoning Models with Academic Research Problems Paper • 2510.11652 • Published Oct 13 • 28
Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training Paper • 2510.04996 • Published Oct 6 • 15
BroRL: Scaling Reinforcement Learning via Broadened Exploration Paper • 2510.01180 • Published Oct 1 • 17
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation Paper • 2509.25849 • Published Sep 30 • 47
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Paper • 2509.02479 • Published Sep 2 • 83
TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling Paper • 2508.17445 • Published Aug 24 • 80
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents Paper • 2508.13186 • Published Aug 14 • 18
Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving Paper • 2507.23726 • Published Jul 31 • 114
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning Paper • 2506.01939 • Published Jun 2 • 187