{"total":36,"rows":[{"id":"2410.10762","title":"AFlow: Automating Agentic Workflow Generation","created":"2024-10-14","cited_by_count":432,"area":"lr"},{"id":"2411.13543","title":"BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games","created":"2024-11-20","cited_by_count":146,"area":"lr"},{"id":"2503.03686","title":"MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems","created":"2025-03-05","cited_by_count":50,"area":"lr"},{"id":"2501.06590","title":"ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning","created":"2025-01-11","cited_by_count":41,"area":"lr"},{"id":"2601.11100","title":"ReCreate: Reasoning and Creating Domain Agents Driven by Experience","created":"2026-01-16","cited_by_count":24,"area":"lr"},{"id":"2509.26062","title":"DyFlow: Dynamic Workflow Framework for Agentic Reasoning","created":"2025-09-30","cited_by_count":23,"area":"lr"},{"id":"2509.03581","title":"Learning When to Plan: Efficiently Allocating Test-Time Compute for LLM Agents","created":"2025-09-03","cited_by_count":20,"area":"lr"},{"id":"2503.00237","title":"Agentic AI Needs a Systems Theory","created":"2025-02-28","cited_by_count":19,"area":"lr"},{"id":"2602.09341","title":"Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge","created":"2026-02-10","cited_by_count":18,"area":"lr"},{"id":"2606.00765","title":"FALAT: Tracing Failures in LLM Agent Trajectories via Dependency-Guided Search","created":"2026-05-30","cited_by_count":12,"area":"lr"},{"id":"2511.00330","title":"Sherlock: Reliable and Efficient Agentic Workflow Execution","created":"2025-11-01","cited_by_count":11,"area":"lr"},{"id":"2605.08083","title":"LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling","created":"2026-05-08","cited_by_count":10,"area":"lr"},{"id":"2411.03455","title":"Watson: A Cognitive Observability Framework for the Reasoning of LLM-Powered Agents","created":"2024-11-05","cited_by_count":8,"area":"lr"},{"id":"2509.24314","title":"MedMMV: A Controllable Multimodal Multi-Agent Framework for Reliable and Verifiable Clinical Reasoning","created":"2025-09-29","cited_by_count":8,"area":"lr"},{"id":"2512.23631","title":"BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimization","created":"2025-12-29","cited_by_count":7,"area":"lr"},{"id":"2602.03053","title":"MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems","created":"2026-02-03","cited_by_count":6,"area":"lr"},{"id":"2605.09907","title":"RADAR: Redundancy-Aware Diffusion for Multi-Agent Communication Structure Generation","created":"2026-05-11","cited_by_count":5,"area":"lr"},{"id":"2510.20909","title":"Code-enabled language models can outperform reasoning models on diverse tasks","created":"2025-10-23","cited_by_count":4,"area":"lr"},{"id":"2506.07820","title":"Guideline Forest: Retrieval-Augmented Reasoning with Branching Experience-Induced Guidelines","created":"2025-06-09","cited_by_count":3,"area":"lr"},{"id":"2606.29194","title":"AI Trading's Alpha Singularity: Emergent Market Reasoning through Agent-to-Agent Self-Evolution","created":"2026-06-28","cited_by_count":3,"area":"lr"},{"id":"2609.05933","title":"Rethinking the Evaluation of Efficiency Methods for Multi-Agent Systems","created":"2026-09-05","cited_by_count":2,"area":"lr"},{"id":"2512.11213","title":"FutureWeaver: Planning Test-Time Compute for Multi-Agent Systems with Modularized Collaboration","created":"2025-12-12","cited_by_count":1,"area":"lr"},{"id":"2606.21445","title":"AutoRAS: Learning Robust Agentic Systems with Primitive Representations","created":"2026-06-19","cited_by_count":1,"area":"lr"},{"id":"2607.17352","title":"Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution","created":"2026-07-19","cited_by_count":1,"area":"lr"},{"id":"2601.12842","title":"SCULPT: Constraint-Guided Pruned MCTS that Carves Efficient Paths for Mathematical Reasoning","created":"2026-01-19","cited_by_count":0,"area":"lr"},{"id":"2602.11782","title":"FlowMind: Execute-Summarize for Structured Workflow Generation from LLM Reasoning","created":"2026-02-12","cited_by_count":0,"area":"lr"},{"id":"2603.19639","title":"HyEvo: Self-Evolving Hybrid Agentic Workflows for Efficient Reasoning","created":"2026-03-20","cited_by_count":0,"area":"lr"},{"id":"2605.08704","title":"AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization","created":"2026-05-09","cited_by_count":0,"area":"lr"},{"id":"2606.00532","title":"KACE: Knowledge-Adaptive Context Engineering for Mathematical Reasoning","created":"2026-05-30","cited_by_count":0,"area":"lr"},{"id":"2606.15872","title":"SciOrch: Learning to Orchestrate Expert LLMs for Solving Frontier Multimodal Scientific Reasoning Tasks","created":"2026-06-14","cited_by_count":0,"area":"lr"},{"id":"2609.12265","title":"GTA: Graph Theory Agent and Benchmark for Algorithmic Graph Reasoning with LLMs","created":"2026-09-10","cited_by_count":0,"area":"lr"},{"id":"2609.38143","title":"Learning Meta-Skills for Agent Harness Design in Test-Time AI4AI","created":"2026-09-29","cited_by_count":0,"area":"lr"},{"id":"2610.00437","title":"JevSpawn: Adaptive Agentic Inference through Compositional Action Spaces","created":"2026-09-30","cited_by_count":0,"area":"lr"},{"id":"2610.04851","title":"CURIO: Curiosity-Driven Test-Time Learning for Open-Ended Discovery","created":"2026-10-04","cited_by_count":0,"area":"lr"},{"id":"2610.07787","title":"OOPMAS: Object-Oriented Multi-Agent Systems for Query-Level Workflow Generation","created":"2026-10-06","cited_by_count":0,"area":"lr"},{"id":"2610.12927","title":"Collaborative Learning and Reasoning over Model Slices","created":"2026-10-09","cited_by_count":0,"area":"lr"}],"next_cursor":null}