WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning Paper • 2512.02425 • Published 26 days ago • 23
RefineBench: Evaluating Refinement Capability of Language Models via Checklists Paper • 2511.22173 • Published Nov 27 • 13
Adaptive Multi-Agent Response Refinement in Conversational Systems Paper • 2511.08319 • Published Nov 11 • 41
Simulating Environments with Reasoning Models for Agent Training Paper • 2511.01824 • Published Nov 3 • 2
AgentFold: Long-Horizon Web Agents with Proactive Context Management Paper • 2510.24699 • Published Oct 28 • 68 • 4
AgentFold: Long-Horizon Web Agents with Proactive Context Management Paper • 2510.24699 • Published Oct 28 • 68
ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs Paper • 2510.04767 • Published Oct 6 • 27
Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs Paper • 2510.09201 • Published Oct 10 • 49
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs Paper • 2510.07499 • Published Oct 8 • 48
StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets? Paper • 2510.02209 • Published Oct 2 • 53
ACON: Optimizing Context Compression for Long-horizon LLM Agents Paper • 2510.00615 • Published Oct 1 • 32
ACON: Optimizing Context Compression for Long-horizon LLM Agents Paper • 2510.00615 • Published Oct 1 • 32 • 2
MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use Paper • 2509.24002 • Published Sep 28 • 173
Rethinking Reward Models for Multi-Domain Test-Time Scaling Paper • 2510.00492 • Published Oct 1 • 27