Self-Assessment Reinforcement Learning for Search-State Awareness in Retrieval-Augmented Large Language Models Paper • 2610.30435 • Published 26 days ago • 7
Scaling Parameter-Efficient Fine-Tuning for Brain Encoding Paper • 2610.26802 • Published 28 days ago • 36
FlowBalance: Verifier-Grounded Self-Improvement from On-Policy Reasoning Experience Paper • 2609.03241 • Published Sep 3 • 41
Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems Paper • 2609.02750 • Published Sep 2 • 143
AgentMercury: Your Agent Can Synthesize Verifiable Environments for Business Scenarios at scale Paper • 2608.20634 • Published Aug 21 • 16
Ko-WideSearch Collection Ko-WideSearch: A Korean Breadth-Search Benchmark for Exhaustive Set Enumeration by Web Agents • 2 items • Updated Aug 18 • 1
AgentMercury Collection AGENTMERCURY: YOUR AGENT CAN SYNTHESIZE VERIFIABLE ENVIRONMENTS FOR BUSINESS SCENARIOS AT SCALE • 13 items • Updated Aug 27 • 3
See like a Robot: Robot-Centric Pointmaps for Vision-Language-Action Models Paper • 2607.11498 • Published Jul 13 • 6
Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity Paper • 2607.00248 • Published Jun 30 • 32
MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training Paper • 2606.30406 • Published Jun 29 • 30
VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement Paper • 2607.00446 • Published Jul 1 • 24
Ko-WideSearch: A Korean Breadth-Search Benchmark for Exhaustive Set Enumeration by Web Agents Paper • 2606.27595 • Published Jun 25 • 9
TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents Paper • 2606.28480 • Published Jun 26 • 49