Key papers

• ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory (2026)
  Jiayi Tian et al.
  13.78
• Agent Laboratory: Using LLM Agents as Research Assistants (2025)
  Samuel Schmidgall et al.
  10.31
• Reproducing human biases in route choice using large language models: Toward scalable behavioral modeling (2026)
  Jiangtao Han et al.
  5.01
• Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning (2026)
  Haiwen Yi et al.
  4.39
• Decision Protocols in Multi-Agent Large Language Model Conversations (2026)
  Lars Benedikt Kaesberg
  4.39
• Akashic: A Low-Overhead LLM Inference Service with MemAttention (2026)
  Yang Liu et al.
  4.39
• Beyond Static Evaluation: Building Simulation Environments for Scalable Agentic Reinforcement Learning (2026)
  Akshay Arora et al.
  4.39
• Agentic AI for IPoDWDM Network Lifecycle Automation: An MCP-Enabled Architecture (2026)
  Chunmin Xia et al.
  4.39
• Information Gain-based Rollout Policy Optimization: An Adaptive Tree-Structured Rollout Approach for Multi-Turn LLM Agents (2026)
  Yijun Zhang et al.
  4.39
• Demonstrating TOFFEE: A Learned System for Synthesizing Data Agent Trajectories at Scale (2026)
  Ziting Wang et al.
  4.39
• Multi-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farms (2026)
  Marcos Eduardo Cruz Victorio et al.
  4.39
• Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction (2026)
  Yuchen Wang et al.
  4.39
• Feedback-Coupled Memory Systems in Continuous Time (2026)
  Stefano Grassi
  4.39
• AGM-like Paraconsistent Partial Meet Abductive Expansion Operation (2026)
  Ulisses Franceschi Eliano
  4.39
• Replicating Belief, Not Bits: Epistemic State Replication for Agentic Systems (2026)
  Jun He et al.
  4.39
• Semantic Drift and the Stability of Operator Control in Reasoning-Class Decision Support Systems (2026)
  M. L. Kaluzhsky et al.
  4.39
• Large Multimodal Model-Based Environment-Aware Mobility Management (2026)
  Seokhyun Jeong et al.
  4.39
• Memory-Conditioned Tool Calling for Camera-First Visual Agents (2026)
  Xiaofan Wu (Chance AI) et al.
  4.39
• Who&When Pro: Can LLMs Really Attribute Failures in AI Agents? (2026)
  Jiale Liu et al.
  4.39
• AgentAbstain: Do LLM Agents Know When Not to Act? (2026)
  Xun Liu et al.
  4.39
• MAG: A Web-Agent Benchmark and Harness for Multimodal Action and Guide Generation (2026)
  Chengguang Gan et al.
  4.39
• Dynamic Agent Skills: A Lifecycle Survey and Taxonomy of Evolving Skill Libraries (2026)
  Yubo Li
  4.39
• Behavioural Signatures of Risk-Sensitive Decision-Making in Large Language Models (2026)
  Xuankun Rong et al.
  4.39
• Can Agentic Trading Systems Pay for Their Own Intelligence? (2026)
  Qiqi Duan et al.
  4.39
• Measure the Sim-to-Real Gap: Designing an Affordable Real-World Benchmark Platform for Reinforcement Learning in AIoT Systems (2026)
  Rongping Zhou et al.
  4.39
• Confining Nondeterminism: AI-Driven Research Systems as DBMSs for Reliable, Non-Wasteful, Transparent, and Collaborative Research [Vision] (2026)
  Kyoungmin Kim et al.
  4.39
• Agents Don't Just Agree, They Remember: Benchmarking Persistent Sycophancy in Stateful Personal Agents (2026)
  Xutao Mao et al.
  4.39
• Cross-Layer Misalignment Detection in Agent Skills: A Progressive Loading-Aware Contrastive Learning Approach (2026)
  Chengjun Zhang et al.
  4.39
• AI YOU Town: Make Friends and Money with Your Digital Twin (2026)
  Yan Lin et al.
  4.39
• Agentic-DPO: From Imitation to Agentic Policy Optimization on Expert Trajectories (2026)
  Yixiong Chen et al.
  4.39
• The Compliance Trap: Diagnosing How AI Agents Consume Conflicting Memory (2026)
  Yixiong Chen et al.
  4.39
• Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation (2026)
  Song-Ze Yu et al.
  4.39
• Embark Now: User Demand Oriented Framework for Multi-day Urban Travel Itinerary Planning (2026)
  Rongbo Qi et al.
  4.39
• Filtering Harmful Actions Isn't Enough: Phantom Transfer in Agentic SDF (2026)
  Chinmayi Dixit
  4.39
• LOGOS: A Living Logic for AI Agent Teams That Evolve With Humans (2026)
  Yuma Ichikawa et al.
  4.39
• SETA: Scaling Environments for Terminal Agents (2026)
  Qijia Shen et al.
  4.39
• QwenPaw-Data: Bridging Facts, Methodology, and Execution for Autonomous Enterprise Data Analytics (2026)
  Tianjing Zeng et al.
  4.39
• NextFund: A Unified Performance Tracking Platform for Agentic Portfolio Management (2026)
  Changlun Li et al.
  4.39
• Heterogeneous Agent Cohorts for Safe Open-Ended Exploration with Runtime Constraint Memory (2026)
  Tengjiao Liu
  4.39
• Mako: A Self-Evolving Agentic Operating System (SE-AOS) for Autonomous Web Exploitation (2026)
  Praneeth Narisetty et al.
  4.39
• Efficient Test-Time Optimization for Multi-Agent Proof Autoformalization (2026)
  Tian-Shuo Liu et al.
  4.39
• Self-Healing Coordination in Cognitive Swarm Agents with Bloch-Type Perceptual Memory (2026)
  Jyotiranjan Beuria
  4.39
• AI Tour Meeting: Group Travel Planning by LLM Agents (2026)
  Daisuke Kikuta
  4.39
• Moral Hazard in Multi-Agent Language Models (2026)
  Dane Malenfant
  4.39
• DecoEvo: Score-Decoupled Co-Evolution of Solver and Rubric-Generator Skills in Text Space (2026)
  Jiangwang Chen et al.
  4.36
• IsabeLLM: Automated Theorem Proving Applied to Formally Verifying Consensus (2026)
  Elliot Jones et al.
  4.33
• LLM Agents for Deliberative Collaboration: A Study on Joint Decision Making Under Partial Observability (2026)
  Chenxu Wang et al.
  3.51
• Opti-Agent-Bench: Benchmarking End-to-End Optimization R&D Agents on Real-World Business Problems (2026)
  Yongchang Fu et al.
  3.51
• Omni-Decision: A Progressive Evidence-State Agent System for Omni-Modal QA (2026)
  Ming Ma et al.
  3.51
• SymbOmni: Evolving Agentic Omni Models via Symbolic Concept Learning (2026)
  Jinxiu Liu et al.
  3.51
• PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs (2026)
  Jing Liu et al.
  3.51
• Fine-Tuned Multi-Agent Framework for Detecting OCEAN in Life Narratives (2026)
  Rasiq Hussain et al.
  3.51
• Mind the Gap: Promises and Pitfalls of Hierarchical Planning in LeWorldModel (2026)
  Niccol\`o Caselli et al.
  3.51
• They'll Verify. They Just Won't Act. How Authority Framing and Laundered Code Turn a Trusted Agentic CI/CD Pipeline Into an Attack Surface (2026)
  Yohann Sidot
  3.51
• Agent Step Value: Auditing Evaluator-Channel Reversals in Black-Box Agent Traces (2026)
  Andrew Zhang et al.
  2.00
• AgentLens: Production-Assessed Trajectory Reviews for Coding Agent Evaluation (2026)
  Andrey Podivilov et al.
  2.00
• FormalAnalyticGeo: A Neural-Symbolic Based Framework for Multimodal Analytic Geometry Problem Generation (2026)
  Ruoran Xu et al.
  2.00
• Coercion and Deception in AI-to-AI Management: An Agentic Benchmark of Unprompted Escalation (2026)
  Jasmine Brazilek et al.
  2.00
• Neuro-Symbolic Meta-Policies for Temporal Knowledge-Graph Memory under Partial Observability (2026)
  Taewoon Kim et al.
  2.00
• LazyMem: Retrieve Broadly, Construct Selectively for Efficient Long-Term Agent Memory (2026)
  Jing Yu et al.
  2.00