{"total":179,"rows":[{"id":"2505.22954","title":"Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents","created":"2025-05-29","cited_by_count":356,"area":"agents"},{"id":"2507.21046","title":"A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence","created":"2025-07-28","cited_by_count":170,"area":"agents"},{"id":"2512.08296","title":"Towards a Science of Scaling Agent Systems","created":"2025-12-09","cited_by_count":138,"area":"lr"},{"id":"2504.01990","title":"Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems","created":"2025-03-31","cited_by_count":126,"area":"agents"},{"id":"2506.07398","title":"G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems","created":"2025-06-09","cited_by_count":122,"area":"agents"},{"id":"2504.15585","title":"A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment","created":"2025-04-22","cited_by_count":116,"area":"lr"},{"id":"2509.03312","title":"AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?","created":"2025-09-03","cited_by_count":116,"area":"agents"},{"id":"2503.09648","title":"A Survey on Trustworthy LLM Agents: Threats and Countermeasures","created":"2025-03-12","cited_by_count":96,"area":"agents"},{"id":"2512.18746","title":"MemEvolve: Meta-Evolution of Agent Memory Systems","created":"2025-12-21","cited_by_count":95,"area":"agents"},{"id":"2504.15257","title":"FlowReasoner: Reinforcing Query-Level Meta-Agents","created":"2025-04-21","cited_by_count":63,"area":null},{"id":"2511.06449","title":"FLEX: Continuous Agent Evolution via Forward Learning from Experience","created":"2025-11-09","cited_by_count":52,"area":"lr"},{"id":"2601.12538","title":"A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents","created":"2026-01-18","cited_by_count":50,"area":"lr"},{"id":"2507.03616","title":"EvoAgentX: An Automated Framework for Evolving Agentic Workflows","created":"2025-07-04","cited_by_count":44,"area":"agents"},{"id":"2506.14697","title":"AGENTSAFE: Benchmarking the Safety of Embodied Agents on Hazardous Instructions","created":"2025-06-17","cited_by_count":38,"area":"mllm"},{"id":"2601.14652","title":"MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks","created":"2026-01-21","cited_by_count":32,"area":null},{"id":"2504.09772","title":"Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning","created":"2025-04-14","cited_by_count":29,"area":"lr"},{"id":"2506.02951","title":"Adaptive Graph Pruning for Multi-Agent Communication","created":"2025-06-03","cited_by_count":29,"area":"agents"},{"id":"2606.06324","title":"From Failed Trajectories to Reliable LLM Agents: Diagnosing and Repairing Harness Flaws","created":"2026-06-04","cited_by_count":29,"area":"agents"},{"id":"2506.13666","title":"We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems","created":"2025-06-16","cited_by_count":27,"area":"agents"},{"id":"2509.11079","title":"Difficulty-Aware Agentic Orchestration for Query-Specific Multi-Agent Workflows","created":"2025-09-14","cited_by_count":27,"area":"agents"},{"id":"2603.22386","title":"From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents","created":"2026-03-23","cited_by_count":24,"area":"agents"},{"id":"2509.26062","title":"DyFlow: Dynamic Workflow Framework for Agentic Reasoning","created":"2025-09-30","cited_by_count":23,"area":"lr"},{"id":"2504.04785","title":"Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors","created":"2025-04-07","cited_by_count":22,"area":"agents"},{"id":"2509.14295","title":"Aegis: Automated Error Generation and Attribution for Multi-Agent Systems","created":"2025-09-17","cited_by_count":22,"area":"agents"},{"id":"2606.01779","title":"HarnessForge: Joint Harness and Policy Evolution for Adaptive Agent Systems","created":"2026-06-01","cited_by_count":21,"area":"agents"},{"id":"2509.21834","title":"RobustFlow: Towards Robust Agentic Workflow Generation","created":"2025-09-26","cited_by_count":20,"area":"agents"},{"id":"2510.10035","title":"Failure-Driven Workflow Refinement","created":"2025-10-11","cited_by_count":20,"area":null},{"id":"2504.03723","title":"VFlow: Discovering Optimal Agentic Workflows for Verilog Generation","created":"2025-03-30","cited_by_count":19,"area":"agents"},{"id":"2602.07755","title":"Learning to Continually Learn via Meta-learning Agentic Memory Designs","created":"2026-02-08","cited_by_count":18,"area":"agents"},{"id":"2505.22967","title":"MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming","created":"2025-05-29","cited_by_count":16,"area":"agents"},{"id":"2601.02695","title":"EvoRoute: Experience-Driven Self-Routing LLM Agent Systems","created":"2026-01-06","cited_by_count":16,"area":"agents"},{"id":"2603.21489","title":"Effective Strategies for Asynchronous Software Engineering Agents","created":"2026-03-23","cited_by_count":16,"area":"agents"},{"id":"2608.25593","title":"JIT-Agent: Scaling Harness Intelligence via Just-in-Time Harness Evolution","created":"2026-08-26","cited_by_count":16,"area":"agents"},{"id":"2506.06017","title":"AgentSwift: Efficient LLM Agent Design via Value-guided Hierarchical Search","created":"2025-06-06","cited_by_count":15,"area":"agents"},{"id":"2507.00841","title":"SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents","created":"2025-07-01","cited_by_count":15,"area":"safety"},{"id":"2602.03036","title":"LatentMem: Customizing Latent Memory for Multi-Agent Systems","created":"2026-02-03","cited_by_count":15,"area":"agents"},{"id":"2507.21407","title":"Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects","created":"2025-07-29","cited_by_count":14,"area":"agents"},{"id":"2601.12996","title":"OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models","created":"2026-01-19","cited_by_count":14,"area":"agents"},{"id":"2509.21789","title":"Visual Multi-Agent System: Mitigating Hallucination Snowballing via Visual Flow","created":"2025-09-26","cited_by_count":13,"area":"mllm"},{"id":"2602.17100","title":"AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation","created":"2026-02-19","cited_by_count":13,"area":"agents"},{"id":"2604.20801","title":"Synthesizing Multi-Agent Harnesses for Vulnerability Discovery","created":"2026-04-22","cited_by_count":13,"area":"agents"},{"id":"2510.26585","title":"Stop Wasting Your Tokens: Towards Efficient Runtime Multi-Agent Systems","created":"2025-10-30","cited_by_count":12,"area":"agents"},{"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":"2507.01701","title":"Exploring Advanced LLM Multi-Agent Systems Based on Blackboard Architecture","created":"2025-07-02","cited_by_count":11,"area":"agents"},{"id":"2510.07799","title":"Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models","created":"2025-10-09","cited_by_count":11,"area":"diffusion"},{"id":"2510.07593","title":"AgentAsk: Multi-Agent Systems Need to Ask","created":"2025-10-08","cited_by_count":10,"area":"agents"},{"id":"2510.16499","title":"Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection","created":"2025-10-18","cited_by_count":10,"area":"agents"},{"id":"2507.11988","title":"Aime: Towards Fully-Autonomous Multi-Agent Framework","created":"2025-07-16","cited_by_count":9,"area":"agents"},{"id":"2601.19290","title":"MetaGen: Self-Evolving Roles and Topologies for Multi-Agent LLM Reasoning","created":"2026-01-27","cited_by_count":9,"area":"lr"},{"id":"2606.13003","title":"The Illusion of Multi-Agent Advantage","created":"2026-06-11","cited_by_count":9,"area":null},{"id":"2506.00509","title":"Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems","created":"2025-05-31","cited_by_count":8,"area":"agents"},{"id":"2507.21035","title":"GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis","created":"2025-07-28","cited_by_count":8,"area":"agents"},{"id":"2508.04719","title":"GeoFlow: Agentic Workflow Automation for Geospatial Tasks","created":"2025-08-05","cited_by_count":8,"area":"agents"},{"id":"2602.01202","title":"Workflow-R1: Group Sub-sequence Policy Optimization for Multi-turn Workflow Construction","created":"2026-02-01","cited_by_count":8,"area":"agents"},{"id":"2505.19108","title":"CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models","created":"2025-05-25","cited_by_count":7,"area":"lr"},{"id":"2510.14319","title":"Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction","created":"2025-10-16","cited_by_count":7,"area":"agents"},{"id":"2607.08938","title":"Better Harnesses, Smaller Models: Building 90% Cheaper Agents via Automated Harness Adaptation","created":"2026-07-09","cited_by_count":7,"area":"agents"},{"id":"2609.21032","title":"Scaling Discovery through Test-Time Communication","created":"2026-09-17","cited_by_count":7,"area":"agents"},{"id":"2508.17094","title":"PowerChain: A Verifiable Agentic AI System for Automating Distribution Grid Analyses","created":"2025-08-23","cited_by_count":6,"area":"agents"},{"id":"2509.24380","title":"Agentic Services Computing","created":"2025-09-29","cited_by_count":6,"area":"agents"},{"id":"2511.19524","title":"VideoChat-M1: Collaborative Policy Planning for Video Understanding via Multi-Agent Reinforcement Learning","created":"2025-11-24","cited_by_count":6,"area":"mllm"},{"id":"2512.00520","title":"Toward a Safe Internet of Agents","created":"2025-11-29","cited_by_count":6,"area":"agents"},{"id":"2601.04861","title":"Orchestrating Intelligence: Confidence-Aware Routing for Efficient Multi-Agent Collaboration across Multi-Scale Models","created":"2026-01-08","cited_by_count":6,"area":"agents"},{"id":"2601.14667","title":"INFA-Guard: Mitigating Malicious Propagation via Infection-Aware Safeguarding in LLM-Based Multi-Agent Systems","created":"2026-01-21","cited_by_count":6,"area":"agents"},{"id":"2603.22791","title":"ABSTRAL: Automatic Design of Multi-Agent Systems Through Iterative Refinement and Topology Optimization","created":"2026-03-24","cited_by_count":6,"area":"agents"},{"id":"2604.25012","title":"Why Search When You Can Transfer? Amortized Agentic Workflow Design from Structural Priors","created":"2026-04-27","cited_by_count":6,"area":"agents"},{"id":"2605.14892","title":"Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems","created":"2026-05-14","cited_by_count":6,"area":"agents"},{"id":"2606.23327","title":"VideoAgent: All-in-One Framework for Video Understanding and Editing","created":"2026-06-22","cited_by_count":6,"area":null},{"id":"2503.03505","title":"Parallelized Planning-Acting for Efficient LLM-based Multi-Agent Systems in Minecraft","created":"2025-03-05","cited_by_count":5,"area":"agents"},{"id":"2505.22467","title":"Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems","created":"2025-05-28","cited_by_count":5,"area":"agents"},{"id":"2510.06711","title":"Inefficiencies of Meta Agents for Agent Design","created":"2025-10-08","cited_by_count":5,"area":"agents"},{"id":"2605.09539","title":"TacoMAS: Test-Time Co-Evolution of Topology and Capability in LLM-based Multi-Agent Systems","created":"2026-05-10","cited_by_count":5,"area":"agents"},{"id":"2505.19578","title":"Accelerating Prefilling for Long-Context LLMs via Sparse Pattern Sharing","created":"2025-05-26","cited_by_count":4,"area":null},{"id":"2506.08234","title":"Compound AI Systems Optimization: A Survey of Methods, Challenges, and Future Directions","created":"2025-06-09","cited_by_count":4,"area":null},{"id":"2512.11426","title":"AgentBalance: Backbone-then-Topology Design for Cost-Effective Multi-Agent Systems under Budget Constraints","created":"2025-12-12","cited_by_count":4,"area":"agents"},{"id":"2601.10560","title":"Learning Latency-Aware Orchestration for Multi-Agent Systems","created":"2026-01-15","cited_by_count":4,"area":"agents"},{"id":"2605.29790","title":"Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems","created":"2026-05-28","cited_by_count":4,"area":"agents"},{"id":"2607.25865","title":"OmniQEC: discovering practical quantum error-correcting codes by an AI scientist","created":"2026-07-28","cited_by_count":4,"area":null},{"id":"2505.11765","title":"OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration","created":"2025-05-17","cited_by_count":3,"area":"agents"},{"id":"2509.20182","title":"Automated Multi-Agent Workflows for RTL Design","created":"2025-09-24","cited_by_count":3,"area":"agents"},{"id":"2509.24323","title":"MAS$^2$: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems","created":"2025-09-29","cited_by_count":3,"area":"agents"},{"id":"2510.04116","title":"Searching Meta Reasoning Skeleton to Guide LLM Reasoning","created":"2025-10-05","cited_by_count":3,"area":"lr"},{"id":"2511.13361","title":"MedDCR: Learning to Design Agentic Workflows for Medical Coding","created":"2025-11-17","cited_by_count":3,"area":"agents"},{"id":"2512.23328","title":"CubeBench: Diagnosing Interactive, Long-Horizon Spatial Reasoning Under Partial Observations","created":"2025-12-29","cited_by_count":3,"area":"lr"},{"id":"2601.07477","title":"JudgeFlow: Agentic Workflow Optimization via Block Judge","created":"2026-01-12","cited_by_count":3,"area":"agents"},{"id":"2601.19793","title":"CASTER: Breaking the Cost-Performance Barrier in Multi-Agent Orchestration via Context-Aware Strategy for Task Efficient Routing","created":"2026-01-27","cited_by_count":3,"area":"agents"},{"id":"2602.13671","title":"MAS-on-the-Fly: In-Context Structural Adaptation of LLM-Based Multi-Agent Systems","created":"2026-02-14","cited_by_count":3,"area":"agents"},{"id":"2602.23864","title":"RUMAD: Reinforcement-Unifying Multi-Agent Debate","created":"2026-02-27","cited_by_count":3,"area":"lr"},{"id":"2604.00344","title":"Agent Q-Mix: Selecting the Right Action for LLM Multi-Agent Systems through Reinforcement Learning","created":"2026-04-01","cited_by_count":3,"area":"agents"},{"id":"2605.06110","title":"On Time, Within Budget: Constraint-Driven Online Resource Allocation for Agentic Workflows","created":"2026-05-07","cited_by_count":3,"area":"agents"},{"id":"2606.03467","title":"StepFinder: A Temporal Semantic Framework for Failure Attribution in Multi-Agent Systems","created":"2026-06-02","cited_by_count":3,"area":"agents"},{"id":"2606.11290","title":"FlowBank: Query-Adaptive Agentic Workflows Optimization through Precompute-and-Reuse","created":"2026-06-09","cited_by_count":3,"area":"agents"},{"id":"2606.26669","title":"SKILL-DISCO: Distilling and Compiling Agent Traces into Reusable Procedural Skills","created":"2026-06-25","cited_by_count":3,"area":null},{"id":"2608.21156","title":"Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence","created":"2026-08-21","cited_by_count":3,"area":"agents"},{"id":"2506.08507","title":"MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning","created":"2025-06-10","cited_by_count":2,"area":"agents"},{"id":"2507.17442","title":"Confident RAG: Enhancing the Performance of LLMs for Mathematics Question Answering through Multi-Embedding and Confidence Scoring","created":"2025-07-23","cited_by_count":2,"area":"lr"},{"id":"2508.10501","title":"PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning","created":"2025-08-14","cited_by_count":2,"area":"lr"},{"id":"2512.14079","title":"Grammar Search for Multi-Agent Systems","created":"2025-12-16","cited_by_count":2,"area":"agents"},{"id":"2601.04060","title":"ComfySearch: Autonomous Exploration and Reasoning for ComfyUI Workflows","created":"2026-01-07","cited_by_count":2,"area":null},{"id":"2601.11147","title":"Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems","created":"2026-01-16","cited_by_count":2,"area":"lr"}],"next_cursor":"100"}