Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 69
Agent
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Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Paper • 2502.06060 • Published • 38 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 195 -
SurveyX: Academic Survey Automation via Large Language Models
Paper • 2502.14776 • Published • 100 -
Why Do Multi-Agent LLM Systems Fail?
Paper • 2503.13657 • Published • 48 -
Scaling Test-time Compute for LLM Agents
Paper • 2506.12928 • Published • 63 -
AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs
Paper • 2507.08616 • Published • 15 -
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
Paper • 2507.09477 • Published • 88 -
Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 160 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 138 -
Efficient Agents: Building Effective Agents While Reducing Cost
Paper • 2508.02694 • Published • 86 -
WideSearch: Benchmarking Agentic Broad Info-Seeking
Paper • 2508.07999 • Published • 111 -
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Paper • 2508.05748 • Published • 142 -
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Paper • 2508.13167 • Published • 129 -
Provable Benefits of In-Tool Learning for Large Language Models
Paper • 2508.20755 • Published • 11 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 235 -
GEM: A Gym for Agentic LLMs
Paper • 2510.01051 • Published • 91 -
Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents
Paper • 2509.26354 • Published • 18 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 109 -
Multi-Agent Tool-Integrated Policy Optimization
Paper • 2510.04678 • Published • 31 -
Don't Just Fine-tune the Agent, Tune the Environment
Paper • 2510.10197 • Published • 30 -
Dyna-Mind: Learning to Simulate from Experience for Better AI Agents
Paper • 2510.09577 • Published • 8 -
Agentic Entropy-Balanced Policy Optimization
Paper • 2510.14545 • Published • 107 -
Search Self-play: Pushing the Frontier of Agent Capability without Supervision
Paper • 2510.18821 • Published • 19 -
AgentFold: Long-Horizon Web Agents with Proactive Context Management
Paper • 2510.24699 • Published • 72 -
MarsRL: Advancing Multi-Agent Reasoning System via Reinforcement Learning with Agentic Pipeline Parallelism
Paper • 2511.11373 • Published • 14 -
Latent Collaboration in Multi-Agent Systems
Paper • 2511.20639 • Published • 126 -
Agentic Learner with Grow-and-Refine Multimodal Semantic Memory
Paper • 2511.21678 • Published • 12 -
DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle
Paper • 2512.04324 • Published • 157 -
DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems
Paper • 2512.06749 • Published • 28 -
Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMs
Paper • 2512.17008 • Published • 11 -
Nested Browser-Use Learning for Agentic Information Seeking
Paper • 2512.23647 • Published • 19 -
Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards
Paper • 2601.06021 • Published • 47 -
The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents
Paper • 2601.07264 • Published • 24 -
MAXS: Meta-Adaptive Exploration with LLM Agents
Paper • 2601.09259 • Published • 96 -
ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development
Paper • 2601.11077 • Published • 66 -
LLM-in-Sandbox Elicits General Agentic Intelligence
Paper • 2601.16206 • Published • 86 -
Behavior Knowledge Merge in Reinforced Agentic Models
Paper • 2601.13572 • Published • 27 -
EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience
Paper • 2601.15876 • Published • 92 -
DeepSearchQA: Bridging the Comprehensiveness Gap for Deep Research Agents
Paper • 2601.20975 • Published • 10 -
AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration
Paper • 2602.03786 • Published • 89 -
LatentMem: Customizing Latent Memory for Multi-Agent Systems
Paper • 2602.03036 • Published • 14 -
Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems
Paper • 2602.08847 • Published • 28 -
Multi-agent cooperation through in-context co-player inference
Paper • 2602.16301 • Published • 24 -
Towards a Science of AI Agent Reliability
Paper • 2602.16666 • Published • 15 -
ResearchGym: Evaluating Language Model Agents on Real-World AI Research
Paper • 2602.15112 • Published • 21 -
Discovering Multiagent Learning Algorithms with Large Language Models
Paper • 2602.16928 • Published • 16 -
PyVision-RL: Forging Open Agentic Vision Models via RL
Paper • 2602.20739 • Published • 31 -
Agentic Code Reasoning
Paper • 2603.01896 • Published • 9 -
Heterogeneous Agent Collaborative Reinforcement Learning
Paper • 2603.02604 • Published • 185