{"total":55,"rows":[{"id":"2412.05467","title":"The BrowserGym Ecosystem for Web Agent Research","created":"2024-12-06","cited_by_count":161,"area":"agents"},{"id":"2504.06821","title":"Inducing Programmatic Skills for Agentic Tasks","created":"2025-04-09","cited_by_count":111,"area":"agents"},{"id":"2501.07278","title":"Lifelong Learning of Large Language Model based Agents: A Roadmap","created":"2025-01-13","cited_by_count":83,"area":"agents"},{"id":"2505.23678","title":"Grounded Reinforcement Learning for Visual Reasoning","created":"2025-05-29","cited_by_count":83,"area":"lr"},{"id":"2501.11425","title":"Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training","created":"2025-01-20","cited_by_count":82,"area":"lr"},{"id":"2506.19676","title":"A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures","created":"2025-06-24","cited_by_count":57,"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":"2501.02765","title":"Visual Large Language Models for Generalized and Specialized Applications","created":"2025-01-06","cited_by_count":36,"area":"mllm"},{"id":"2505.16827","title":"GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent","created":"2025-05-22","cited_by_count":35,"area":"agents"},{"id":"2507.19024","title":"A Survey of Multimodal Hallucination Evaluation and Detection","created":"2025-07-25","cited_by_count":27,"area":"mllm"},{"id":"2604.13318","title":"WebXSkill: Skill Learning for Autonomous Web Agents","created":"2026-04-14","cited_by_count":24,"area":"agents"},{"id":"2505.21333","title":"MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios","created":"2025-05-27","cited_by_count":18,"area":"mllm"},{"id":"2510.01524","title":"WALT: Web Agents that Learn Tools","created":"2025-10-01","cited_by_count":16,"area":"lr"},{"id":"2606.03056","title":"SkillDAG: Self-Evolving Typed Skill Graphs for LLM Skill Selection at Scale","created":"2026-06-02","cited_by_count":16,"area":"agents"},{"id":"2507.11662","title":"Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification","created":"2025-07-15","cited_by_count":14,"area":"lr"},{"id":"2508.09456","title":"IAG: Input-aware Backdoor Attack on VLM-based Visual Grounding","created":"2025-08-13","cited_by_count":12,"area":"mllm"},{"id":"2605.18652","title":"MementoGUI: Learning Agentic Multimodal Memory Control for Long-Horizon GUI Agents","created":"2026-05-18","cited_by_count":11,"area":"agents"},{"id":"2505.15616","title":"LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models","created":"2025-05-21","cited_by_count":9,"area":"lr"},{"id":"2506.23127","title":"Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning","created":"2025-06-29","cited_by_count":9,"area":null},{"id":"2502.01562","title":"Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization","created":"2025-02-03","cited_by_count":8,"area":"agents"},{"id":"2502.04358","title":"Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives","created":"2025-02-04","cited_by_count":7,"area":"agents"},{"id":"2604.07774","title":"RoboAgent: Chaining Basic Capabilities for Embodied Task Planning","created":"2026-04-09","cited_by_count":7,"area":null},{"id":"2504.04485","title":"Building LLM Agents by Incorporating Insights from Computer Systems","created":"2025-04-06","cited_by_count":5,"area":"agents"},{"id":"2509.21072","title":"Recon-Act: A Self-Evolving Multi-Agent Browser-Use System via Web Reconnaissance, Tool Generation, and Task Execution","created":"2025-09-25","cited_by_count":5,"area":null},{"id":"2512.23592","title":"Same or Not? Enhancing Visual Perception in Vision-Language Models","created":"2025-12-29","cited_by_count":5,"area":"mllm"},{"id":"2504.18738","title":"A Review of 3D Object Detection with Vision-Language Models","created":"2025-04-25","cited_by_count":4,"area":"mllm"},{"id":"2511.19033","title":"ReEXplore: Improving MLLMs for Embodied Exploration with Contextualized Retrospective Experience Replay","created":"2025-11-24","cited_by_count":4,"area":null},{"id":"2512.08889","title":"No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers","created":"2025-12-09","cited_by_count":4,"area":"lr"},{"id":"2603.00503","title":"M$^2$: Dual-Memory Augmentation for Long-Horizon Web Agents via Trajectory Summarization and Insight Retrieval","created":"2026-02-28","cited_by_count":4,"area":"mllm"},{"id":"2606.07909","title":"MemToolAgent: Leveraging Memory for Tool Using Agents Based on Environment and User Feedback","created":"2026-06-06","cited_by_count":4,"area":"agents"},{"id":"2506.00912","title":"Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages","created":"2025-06-01","cited_by_count":3,"area":null},{"id":"2509.24230","title":"ELHPlan: Efficient Long-Horizon Task Planning for Multi-Agent Collaboration","created":"2025-09-29","cited_by_count":3,"area":"agents"},{"id":"2606.06960","title":"FinEvolveBench: A Benchmark for Self-Evolving Agents on Low-Repetition Tasks with Implicit Rewards","created":"2026-06-05","cited_by_count":3,"area":"agents"},{"id":"2606.10507","title":"HIPIF: Hierarchical Planning and Information Folding for Long-Horizon LLM Agent Learning","created":"2026-06-09","cited_by_count":3,"area":"agents"},{"id":"2606.30911","title":"Why Solve It Twice? Hierarchical Accumulation of Skills for Transfer-Efficient ML Engineering","created":"2026-06-29","cited_by_count":3,"area":null},{"id":"2608.02113","title":"MemArbiter: Decision-Time Memory Arbitration for Long-Horizon LLM Agents","created":"2026-08-03","cited_by_count":3,"area":"agents"},{"id":"2601.20650","title":"OS-Marathon: Benchmarking Computer-Use Agents on Vast-Horizon, Repetitive Tasks","created":"2026-01-28","cited_by_count":2,"area":"agents"},{"id":"2602.05810","title":"Bifrost: Steering Strategic Trajectories to Bridge Contextual Gaps for Self-Improving Agents","created":"2026-02-05","cited_by_count":2,"area":"synth"},{"id":"2604.05808","title":"Hierarchical Reinforcement Learning with Augmented Step-Level Transitions for LLM Agents","created":"2026-04-07","cited_by_count":2,"area":"agents"},{"id":"2605.24785","title":"PANDO: Efficient Multimodal AI Agents via Online Skill Distillation","created":"2026-05-24","cited_by_count":2,"area":"agents"},{"id":"2606.20363","title":"Automating SKILL.md Generation for Computer-Using Agents via Interaction Trajectory Mining","created":"2026-06-18","cited_by_count":2,"area":null},{"id":"2608.20274","title":"Break It Down, Pass It On: Cross-Task Skill Transfer in LLM Agents","created":"2026-08-20","cited_by_count":2,"area":"agents"},{"id":"2510.01531","title":"Information Seeking for Robust Decision Making under Partial Observability","created":"2025-10-02","cited_by_count":1,"area":null},{"id":"2601.05215","title":"MineNPC-Task: Task Suite for Memory-Aware Minecraft Agents","created":"2026-01-08","cited_by_count":1,"area":"agents"},{"id":"2605.03909","title":"Task-Aware Scanning Parameter Configuration for Robotic Inspection Using Vision Language Embeddings and Hyperdimensional Computing","created":"2026-05-05","cited_by_count":1,"area":null},{"id":"2606.10423","title":"WebChallenger: A Reliable and Efficient Generalist Web Agent","created":"2026-06-09","cited_by_count":1,"area":"lr"},{"id":"2607.23605","title":"Hybrid Advantage Estimation with Unified Critic for VLM Agentic Reinforcement Learning","created":"2026-07-26","cited_by_count":1,"area":"mllm"},{"id":"2508.00447","title":"CLIPTime: Time-Aware Multimodal Representation Learning from Images and Text","created":"2025-08-01","cited_by_count":0,"area":"mllm"},{"id":"2606.00053","title":"VLAMotor: Test-Guided Enhancement of Vision-Language-Action Models via Agent-BasedData Synthesis","created":"2026-05-16","cited_by_count":0,"area":"vla"},{"id":"2606.02994","title":"Inducing Reasoning Primitives from Agent Traces","created":"2026-06-02","cited_by_count":0,"area":"lr"},{"id":"2606.22488","title":"SCOPE: Evolving Symbolic World for Planning in Open-Ended Environments","created":"2026-06-21","cited_by_count":0,"area":"mllm"},{"id":"2608.08077","title":"Explore, Map, Remember, Decide: Are Embodied VLMs Ready for Safety-Critical Scenarios?","created":"2026-08-08","cited_by_count":0,"area":"mllm"},{"id":"2608.22577","title":"CausalCache: Conditional High-Fidelity Restoration for Long-Horizon GUI Agents","created":"2026-08-23","cited_by_count":0,"area":"agents"},{"id":"2609.27175","title":"Self-Evolving Multimedia Verification through Memory Consolidation of Contestation Experiences","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2609.35911","title":"Learn Now, Use Next, Trust Later: Prequential Test-Time Learning for LLM Agents","created":"2026-09-28","cited_by_count":0,"area":"agents"}],"next_cursor":null}