{"total":64,"rows":[{"id":"2404.18231","title":"From Persona to Personalization: A Survey on Role-Playing Language Agents","created":"2024-04-28","cited_by_count":212,"area":"agents"},{"id":"2406.02818","title":"Chain of Agents: Large Language Models Collaborating on Long-Context Tasks","created":"2024-06-04","cited_by_count":206,"area":"agents"},{"id":"2402.04617","title":"InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory","created":"2024-02-07","cited_by_count":197,"area":"agents"},{"id":"2409.11295","title":"EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage","created":"2024-09-17","cited_by_count":150,"area":"agents"},{"id":"2404.02039","title":"A Survey on Large Language Model-Based Game Agents","created":"2024-04-02","cited_by_count":112,"area":"agents"},{"id":"2402.04268","title":"ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning","created":"2024-01-27","cited_by_count":64,"area":"agents"},{"id":"2605.26494","title":"The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence","created":"2026-05-26","cited_by_count":61,"area":"agents"},{"id":"2509.01322","title":"LongCat-Flash Technical Report","created":"2025-09-01","cited_by_count":58,"area":"agents"},{"id":"2407.00121","title":"Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks","created":"2024-06-27","cited_by_count":52,"area":"agents"},{"id":"2510.12872","title":"KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems","created":"2025-10-14","cited_by_count":40,"area":"agents"},{"id":"2312.03815","title":"LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem","created":"2023-12-06","cited_by_count":38,"area":"agents"},{"id":"2401.00741","title":"ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios","created":"2024-01-01","cited_by_count":35,"area":"agents"},{"id":"2601.04786","title":"AgentOCR: Reimagining Agent History via Optical Self-Compression","created":"2026-01-08","cited_by_count":22,"area":"agents"},{"id":"2502.17421","title":"LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification","created":"2025-02-24","cited_by_count":21,"area":"agents"},{"id":"2503.14269","title":"DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree Traversal","created":"2025-03-18","cited_by_count":20,"area":"agents"},{"id":"2505.10570","title":"LongFuncEval: Measuring the effectiveness of long context models for function calling","created":"2025-04-30","cited_by_count":18,"area":"agents"},{"id":"2504.16420","title":"A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms","created":"2025-04-23","cited_by_count":17,"area":"agents"},{"id":"2509.24088","title":"CORRECT: COndensed eRror RECognition via knowledge Transfer in multi-agent systems","created":"2025-09-28","cited_by_count":15,"area":"agents"},{"id":"2512.02445","title":"When Refusals Fail: Unstable Safety Mechanisms in Long-Context LLM Agents","created":"2025-12-02","cited_by_count":15,"area":"agents"},{"id":"2602.03695","title":"Agent Primitives: Reusable Latent Building Blocks for Multi-Agent Systems","created":"2026-02-03","cited_by_count":14,"area":"agents"},{"id":"2601.20730","title":"AgentLongBench: A Controllable Long Benchmark For Long-Contexts Agents via Environment Rollouts","created":"2026-01-28","cited_by_count":9,"area":"agents"},{"id":"2505.20625","title":"Long Context Scaling: Divide and Conquer via Multi-Agent Question-driven Collaboration","created":"2025-05-27","cited_by_count":7,"area":"agents"},{"id":"2307.10936","title":"PASTA: Pretrained Action-State Transformer Agents","created":"2023-07-20","cited_by_count":6,"area":"agents"},{"id":"2606.09461","title":"H2HMem: A Multimodal Memory Benchmark for Agents in Human-Human Interactions","created":"2026-06-08","cited_by_count":6,"area":"agents"},{"id":"2606.09916","title":"IntentKV: Cross-Turn Intent-Aware KV Cache Pruning for Agent Inference","created":"2026-06-06","cited_by_count":6,"area":"agents"},{"id":"2509.11914","title":"EgoMem: Lifelong Memory Agent for Full-duplex Omnimodal Models","created":"2025-09-15","cited_by_count":5,"area":"agents"},{"id":"2511.00413","title":"Tree Training: Accelerating Agentic LLMs Training via Shared Prefix Reuse","created":"2025-11-01","cited_by_count":5,"area":"agents"},{"id":"2508.20755","title":"Provable Benefits of In-Tool Learning for Large Language Models","created":"2025-08-28","cited_by_count":4,"area":"agents"},{"id":"2510.07414","title":"Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation","created":"2025-10-08","cited_by_count":4,"area":"agents"},{"id":"2606.05031","title":"MetaPoint: Unlocking Precise Spatial Control in Agentic Visual Generation","created":"2026-06-03","cited_by_count":4,"area":"agents"},{"id":"2608.22697","title":"Does Rank Still Matter? Position Bias When AI Agents Shop on Our Behalf","created":"2026-08-24","cited_by_count":4,"area":"agents"},{"id":"2602.13594","title":"Hippocampus: An Efficient and Scalable Memory Module for Agentic AI","created":"2026-02-14","cited_by_count":3,"area":"agents"},{"id":"2605.13989","title":"VectraYX-Nano: A 42M-Parameter Spanish Cybersecurity Language Model with Curriculum Learning and Native Tool Use","created":"2026-05-13","cited_by_count":3,"area":"agents"},{"id":"2606.01725","title":"Characterization of Multi-Model Agentic AI Systems on General Tasks via Trace-Driven Simulation","created":"2026-06-01","cited_by_count":3,"area":"agents"},{"id":"2608.19662","title":"ReCache: Efficient KV Cache Reuse and Compression for Tool-Augmented LLM Agents","created":"2026-08-20","cited_by_count":3,"area":"agents"},{"id":"2507.10281","title":"Toward Real-World Table Agents: Capabilities, Workflows, and Design Principles for LLM-based Table Intelligence","created":"2025-07-14","cited_by_count":2,"area":"agents"},{"id":"2601.08343","title":"When KV Cache Reuse Fails in Multi-Agent Systems: Cross-Candidate Interaction is Crucial for LLM Judges","created":"2026-01-13","cited_by_count":2,"area":"agents"},{"id":"2604.06370","title":"ForkKV: Scaling Multi-LoRA Agent Serving via Copy-on-Write Disaggregated KV Cache","created":"2026-04-07","cited_by_count":2,"area":"agents"},{"id":"2504.05607","title":"FactGuard: Leveraging Multi-Agent Systems to Generate Answerable and Unanswerable Questions for Enhanced Long-Context LLM Extraction","created":"2025-04-08","cited_by_count":1,"area":"agents"},{"id":"2509.20900","title":"Learning to Summarize by Learning to Quiz: Adversarial Agentic Collaboration for Long Document Summarization","created":"2025-09-25","cited_by_count":1,"area":"agents"},{"id":"2511.11362","title":"On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization","created":"2025-11-14","cited_by_count":1,"area":"agents"},{"id":"2601.11913","title":"LSTM-MAS: A Long Short-Term Memory Inspired Multi-Agent System for Long-Context Understanding","created":"2026-01-17","cited_by_count":1,"area":"agents"},{"id":"2603.26041","title":"Where and How to Prune: An Empirical Study of Visual Token Pruning for GUI Agent Navigation","created":"2026-03-27","cited_by_count":1,"area":"agents"},{"id":"2605.27605","title":"Laguna M.1/XS.2 Technical Report","created":"2026-05-26","cited_by_count":1,"area":"agents"},{"id":"2509.15366","title":"Diagnostics of cognitive failures in multi-agent expert systems using dynamic evaluation protocols and subsequent mutation of the processing context","created":"2025-09-18","cited_by_count":0,"area":"agents"},{"id":"2510.22075","title":"Agentic Reinforcement Learning for Real-World Code Repair","created":"2025-10-24","cited_by_count":0,"area":"agents"},{"id":"2605.10268","title":"MemReread: Enhancing Agentic Long-Context Reasoning via Memory-Guided Rereading","created":"2026-05-11","cited_by_count":0,"area":"agents"},{"id":"2605.11051","title":"On Problems of Implicit Context Compression for Software Engineering Agents","created":"2026-05-11","cited_by_count":0,"area":"agents"},{"id":"2605.13839","title":"Good Agentic Friends Do Not Just Give Verbal Advice: They Can Update Your Weights","created":"2026-05-13","cited_by_count":0,"area":"agents"},{"id":"2606.14672","title":"Towards Direct Latent-Space Synthesis for Parallel Branches in LLM-Agent Workflows","created":"2026-06-12","cited_by_count":0,"area":"agents"},{"id":"2608.16620","title":"Palmyra x6 Technical Report: An Agentic, Tool-Use Model Post-Trained via Anchored Supervised Fine-Tuning","created":"2026-08-17","cited_by_count":0,"area":"agents"},{"id":"2608.20397","title":"Nexus: Depth-Adaptive KV-Cache Splicing and Retrieval-Decoupled Tool Routing for Agentic LLMs on Unified Memory","created":"2026-07-01","cited_by_count":0,"area":"agents"},{"id":"2609.13356","title":"ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search","created":"2026-09-11","cited_by_count":0,"area":"agents"},{"id":"2609.26219","title":"PatchKV: Efficient KV Cache Recovery for Dynamically Edited LLM Contexts","created":"2026-08-18","cited_by_count":0,"area":"agents"},{"id":"2609.27294","title":"KITE: KV-Invariant Transformer Expansion for Efficient Agentic LLM Scaling","created":"2026-09-23","cited_by_count":0,"area":"agents"},{"id":"2609.31568","title":"DeepEdu-v1: Efficient and Scalable Agentic LLMs for Vietnamese Education","created":"2026-09-25","cited_by_count":0,"area":"agents"},{"id":"2609.32166","title":"PastForward: Faster On-Device GUI Agents via Computational Experience Reuse","created":"2026-09-26","cited_by_count":0,"area":"agents"},{"id":"2609.32259","title":"Prefill-Free Cross-Family KV Cache Transfer for Heterogeneous Multi-Agent LLMs","created":"2026-09-26","cited_by_count":0,"area":"agents"},{"id":"2609.35378","title":"Multilinguality in Hybrid Attention LLMs","created":"2026-09-28","cited_by_count":0,"area":"agents"},{"id":"2609.35427","title":"LLMs are General Asynchronous Agents","created":"2026-09-28","cited_by_count":0,"area":"agents"},{"id":"2609.38866","title":"When Context Changes: Understanding Update Failures in LLMs","created":"2026-09-30","cited_by_count":0,"area":"agents"},{"id":"2610.02142","title":"Keyword Harnesses Fail Open: A Cheap Diagnostic Ladder for Tool-Use Claims in Small Language Models","created":"2026-10-01","cited_by_count":0,"area":"agents"},{"id":"2610.10071","title":"HGP:An on-device personalized agent memory via hybrid graph storage","created":"2026-10-07","cited_by_count":0,"area":"agents"},{"id":"2610.18420","title":"Agaram 2.5B: The First Tamil-First Language Model Trained from Scratch with Tool Calling. A Playbook for Under-Represented Languages","created":"2026-10-13","cited_by_count":0,"area":"agents"}],"next_cursor":null}