{"total":61,"rows":[{"id":"2503.21460","title":"Large Language Model Agent: A Survey on Methodology, Applications and Challenges","created":"2025-03-27","cited_by_count":205,"area":"agents"},{"id":"2411.18279","title":"Large Language Model-Brained GUI Agents: A Survey","created":"2024-11-27","cited_by_count":162,"area":"agents"},{"id":"2507.13334","title":"A Survey of Context Engineering for Large Language Models","created":"2025-07-17","cited_by_count":126,"area":null},{"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":"2503.23037","title":"Agentic Large Language Models, a survey","created":"2025-03-29","cited_by_count":108,"area":"agents"},{"id":"2509.01055","title":"VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use","created":"2025-09-01","cited_by_count":96,"area":"lr"},{"id":"2507.22925","title":"Hierarchical Memory for High-Efficiency Long-Term Reasoning in LLM Agents","created":"2025-07-23","cited_by_count":62,"area":"lr"},{"id":"2506.08446","title":"A Survey on Large Language Models for Mathematical Reasoning","created":"2025-06-10","cited_by_count":52,"area":"lr"},{"id":"2509.19803","title":"VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models","created":"2025-09-24","cited_by_count":36,"area":"lr"},{"id":"2505.11154","title":"MPMA: Preference Manipulation Attack Against Model Context Protocol","created":"2025-05-16","cited_by_count":34,"area":"agents"},{"id":"2503.11069","title":"API Agents vs. GUI Agents: Divergence and Convergence","created":"2025-03-14","cited_by_count":29,"area":"agents"},{"id":"2505.16120","title":"LLM-Powered AI Agent Systems and Their Applications in Industry","created":"2025-05-22","cited_by_count":22,"area":"agents"},{"id":"2509.11575","title":"A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models","created":"2025-09-15","cited_by_count":21,"area":"lr"},{"id":"2501.03151","title":"Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches","created":"2025-01-06","cited_by_count":18,"area":"mllm"},{"id":"2505.03864","title":"From Glue-Code to Protocols: A Critical Analysis of A2A and MCP Integration for Scalable Agent Systems","created":"2025-05-06","cited_by_count":14,"area":null},{"id":"2601.12294","title":"ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents","created":"2026-01-18","cited_by_count":14,"area":"lr"},{"id":"2503.05854","title":"Accelerating Earth Science Discovery via Multi-Agent LLM Systems","created":"2025-03-07","cited_by_count":13,"area":"agents"},{"id":"2605.10923","title":"Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning","created":"2026-05-11","cited_by_count":12,"area":"agents"},{"id":"2510.09901","title":"Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics","created":"2025-10-10","cited_by_count":11,"area":"agents"},{"id":"2510.07176","title":"Exposing LLM User Privacy via Traffic Fingerprint Analysis: A Study of Privacy Risks in LLM Agent Interactions","created":"2025-10-08","cited_by_count":10,"area":"agents"},{"id":"2505.07903","title":"SEM: Reinforcement Learning for Search-Efficient Large Language Models","created":"2025-05-12","cited_by_count":9,"area":null},{"id":"2501.00055","title":"LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models","created":"2024-12-28","cited_by_count":7,"area":"safety"},{"id":"2506.23474","title":"A Large-Scale Evolvable Dataset for Model Context Protocol Ecosystem and Security Analysis","created":"2025-06-30","cited_by_count":7,"area":"agents"},{"id":"2508.05118","title":"Reasoning through Exploration: A Reinforcement Learning Framework for Robust Function Calling","created":"2025-08-07","cited_by_count":7,"area":"lr"},{"id":"2512.16214","title":"PDE-Agent: A toolchain-augmented multi-agent framework for PDE solving","created":"2025-12-18","cited_by_count":7,"area":"agents"},{"id":"2505.12237","title":"From Shots to Stories: LLM-Assisted Video Editing with Unified Language Representations","created":"2025-05-18","cited_by_count":6,"area":"lr"},{"id":"2510.09567","title":"Safe, Untrusted, \"Proof-Carrying\" AI Agents: toward the agentic lakehouse","created":"2025-10-10","cited_by_count":6,"area":"agents"},{"id":"2512.23647","title":"Nested Browser-Use Learning for Agentic Information Seeking","created":"2025-12-29","cited_by_count":6,"area":"agents"},{"id":"2606.14502","title":"From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI","created":"2026-06-12","cited_by_count":6,"area":null},{"id":"2505.20192","title":"FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement","created":"2025-05-26","cited_by_count":5,"area":"lr"},{"id":"2507.10593","title":"ToolRegistry: A Protocol-Agnostic Tool Management Library for Function-Calling LLMs","created":"2025-07-11","cited_by_count":5,"area":"agents"},{"id":"2510.06217","title":"TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning","created":"2025-10-07","cited_by_count":5,"area":"lr"},{"id":"2604.13064","title":"Red Skills or Blue Skills? A Dive Into Skills Published on ClawHub","created":"2026-03-19","cited_by_count":5,"area":null},{"id":"2507.15676","title":"Agentic AI for autonomous anomaly management in complex systems","created":"2025-07-21","cited_by_count":4,"area":"agents"},{"id":"2603.22120","title":"StreamingClaw Technical Report","created":"2026-03-23","cited_by_count":4,"area":null},{"id":"2510.02271","title":"InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents","created":"2025-10-02","cited_by_count":3,"area":"agents"},{"id":"2510.09093","title":"Exploiting Web Search Tools of AI Agents for Data Exfiltration","created":"2025-10-10","cited_by_count":3,"area":"agents"},{"id":"2605.19717","title":"Physics-in-the-Loop: A Hybrid Agentic Architecture for Validated CAD Engineering Design","created":"2026-05-19","cited_by_count":3,"area":"agents"},{"id":"2411.00188","title":"Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and Analysis","created":"2024-10-31","cited_by_count":2,"area":"agents"},{"id":"2412.16172","title":"LABIIUM: AI-Enhanced Zero-configuration Measurement Automation System","created":"2024-12-07","cited_by_count":2,"area":null},{"id":"2510.12091","title":"ToPolyAgent: AI Agents for Coarse-Grained Topological Polymer Simulations","created":"2025-10-14","cited_by_count":2,"area":null},{"id":"2602.04101","title":"Interfaze: The Future of AI is built on Task-Specific Small Models","created":"2026-02-04","cited_by_count":2,"area":null},{"id":"2603.15798","title":"CUBE: A Standard for Unifying Agent Benchmarks","created":"2026-03-16","cited_by_count":2,"area":null},{"id":"2605.07339","title":"Tools as Continuous Flow for Evolving Agentic Reasoning","created":"2026-05-08","cited_by_count":2,"area":"lr"},{"id":"2608.01678","title":"Progressive Agent Skill Generation via Reinforcement Learning","created":"2026-08-03","cited_by_count":2,"area":"lr"},{"id":"2501.08262","title":"Addressing the sustainable AI trilemma: a case study on LLM agents and RAG","created":"2025-01-14","cited_by_count":1,"area":"agents"},{"id":"2503.03669","title":"Attentive Reasoning Queries: A Systematic Method for Optimizing Instruction-Following in Large Language Models","created":"2025-03-05","cited_by_count":1,"area":"lr"},{"id":"2506.14851","title":"Efficient Serving of LLM Applications with Probabilistic Demand Modeling","created":"2025-06-17","cited_by_count":1,"area":null},{"id":"2603.03148","title":"From Language to Action: Can LLM-Based Agents Be Used for Embodied Robot Cognition?","created":"2026-03-03","cited_by_count":1,"area":"agents"},{"id":"2603.09297","title":"TA-Mem: Tool-Augmented Autonomous Memory Retrieval for LLM in Long-Term Conversational QA","created":"2026-03-10","cited_by_count":1,"area":"lr"},{"id":"2606.19135","title":"A Technical Taxonomy of LLM Agent Communication Protocols","created":"2026-06-17","cited_by_count":1,"area":"agents"},{"id":"2509.21266","title":"Rethinking Explainable Disease Prediction: Synergizing Accuracy and Reliability via Reflective Cognitive Architecture","created":"2025-09-25","cited_by_count":0,"area":"lr"},{"id":"2511.19483","title":"Z-Space: A Multi-Agent Tool Orchestration Framework for Enterprise-Grade LLM Automation","created":"2025-11-23","cited_by_count":0,"area":"agents"},{"id":"2512.20649","title":"AIAuditTrack: A Framework for AI Security system","created":"2025-12-16","cited_by_count":0,"area":null},{"id":"2512.20957","title":"One Tool Is Enough: Reinforcement Learning for Repository-Level LLM Agents","created":"2025-12-24","cited_by_count":0,"area":"agents"},{"id":"2601.10581","title":"From Single to Multi-Agent Reasoning: Advancing GeneGPT for Genomics QA","created":"2026-01-15","cited_by_count":0,"area":"lr"},{"id":"2602.00766","title":"Communications-Incentivized Collaborative Reasoning in NetGPT through Agentic Reinforcement Learning","created":"2026-01-31","cited_by_count":0,"area":"agents"},{"id":"2605.03308","title":"Revisiting the Travel Planning Capabilities of Large Language Models","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2605.11706","title":"GRAFT: Graph-Tokenized LLMs for Tool Planning","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2606.15589","title":"Is Code Better Than Language for Algorithmic Reasoning","created":"2026-06-14","cited_by_count":0,"area":"lr"},{"id":"2608.27046","title":"Performance Foundations of Parallel & Distributed Reasoning Language Models","created":"2026-08-27","cited_by_count":0,"area":"lr"}],"next_cursor":null}