Evaluation

Papers

• R-Zero: Self-Evolving Reasoning LLM from Zero Data (2025)
  Chengsong Huang et al.
  19.83
• Agentic Reinforced Policy Optimization (2025)
  Guanting Dong et al.
  19.61
• R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning (2025)
  Huatong Song et al.
  18.73
• SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning (2025)
  Haozhan Li et al.
  18.40
• Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL (2025)
  Weizhen Li et al.
  18.23
• InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners (2025)
  Yuhang Liu et al.
  16.27
• SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning (2025)
  Zhongwei Wan et al.
  16.17
• QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning (2025)
  Fanqi Wan et al.
  16.01
• EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments (2026)
  Jundong Xu et al.
  16.01
• SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning (2026)
  Seokju Cho et al.
  15.70
• MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent (2025)
  Hongli Yu et al.
  15.38
• AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security (2026)
  Dongrui Liu et al.
  14.78
• APPO: Agentic Procedural Policy Optimization (2026)
  Xucong Wang et al.
  14.60
• FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents (2026)
  Jia Deng et al.
  14.20
• Kimi K2.5: Visual Agentic Intelligence (2026)
  Kimi Team: Tongtong Bai et al.
  13.84
• Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution (2026)
  Xucong Wang et al.
  13.67
• LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories (2026)
  Baochang Ren et al.
  13.59
• AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration (2026)
  Jiaqi Liu et al.
  13.52
• Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks (2026)
  Mengyu Zheng et al.
  13.33
• ArcANE: Do Role-Playing Language Agents Stay in Character at the Right Time? (2026)
  Woojung Song et al.
  13.24
• Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application (2026)
  Jiachun Li et al.
  13.22
• Heterogeneous Agent Collaborative Reinforcement Learning (2026)
  Zhixia Zhang et al.
  13.18
• MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research (2026)
  Dingbang Wu et al.
  12.91
• AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints (2026)
  Jiayu Liu et al.
  12.83
• AWorld: Orchestrating the Training Recipe for Agentic AI (2025)
  Chengyue Yu et al.
  12.78
• SWE-Explore: Benchmarking How Coding Agents Explore Repositories (2026)
  Shaoqiu Zhang et al.
  12.73
• DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models (2025)
  DeepSeek-AI et al.
  12.70
• COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation (2026)
  Tianyi Zhou et al.
  12.70
• K-BrowseComp: A Web Browsing Agent Benchmark Grounded in Korean Contexts (2026)
  Nahyun Lee et al.
  12.62
• SkillOpt: Executive Strategy for Self-Evolving Agent Skills (2026)
  Yifan Yang et al.
  12.58
• From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI (2026)
  Yongheng Zhang et al.
  12.47
• LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning (2026)
  Yifan Dai et al.
  12.42
• ResearchMath-14K: Scaling Research-Level Mathematics via Agents (2026)
  Guijin Son et al.
  12.37
• Planning, Creation, Usage: Benchmarking Llms For Comprehensive Tool Utilization In Real-world Complex Scenarios (2024)
  Shijue Huang, Wanjun Zhong, Jianqiao Lu, et al.
  12.31
• LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards (2026)
  Nianyi Lin et al.
  12.21
• DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation (2026)
  Yibo Wang et al.
  12.15
• Self-Improving Language Models with Bidirectional Evolutionary Search (2026)
  Guowei Xu et al.
  12.10
• GrepSeek: Training Search Agents for Direct Corpus Interaction (2026)
  Alireza Salemi et al.
  12.06
• Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents (2026)
  Suji Kim et al.
  12.03
• HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry (2026)
  Tingyang Chen et al.
  11.97
• Agent models: Internalizing Chain-of-Action Generation into Reasoning models (2025)
  Yuxiang Zhang et al.
  11.87
• Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution (2025)
  Tianrui Qin et al.
  11.85
• MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents (2025)
  Kunlun Zhu et al.
  11.84
• QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks (2026)
  Jian Xie et al.
  11.71
• World Models Meet Language Models: On the Complementarity of Concrete and Abstract Reasoning (2026)
  Yucheng Zhou et al.
  11.70
• Latent Collaboration in Multi-Agent Systems (2025)
  Jiaru Zou et al.
  11.66
• It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs (2026)
  Sangwoo Park et al.
  11.64
• Relay Hindsight Experience Replay: Self-guided Continual Reinforcement Learning For Sequential Object Manipulation Tasks With Sparse Rewards (2022)
  Yongle Luo, Yuxin Wang, Kun Dong, et al.
  11.58
• Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning (2025)
  Haoran Luo et al.
  11.55
• EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery (2026)
  Amy Xin et al.
  11.55