LLM Agents

LLM: Large Language Model

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57 papers in the last four weeks, up 58% on the four weeks before. 0.6% of all new papers.

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A Voice-Interactive Multi-Agent System for Smart Operating Rooms: Architecture Design and Key Technologies
Sep 10, 2026Tianxiang ZhouLanguage Model-Based Control LLM Agent Orchestration
Wuhan United Imaging Surgical Co., Ltd. (UIS) Wuhan, China
Avatar: Toward Autonomous End-to-End Orchestration of Scientific Workflows using LLMs
Sep 9, 2026Suman Raj, Hai Duc Nguyen, Haochen Pan +3LLM Agent Orchestration LLM Agent Workflow Optimization
Department of Computer Science, University of Chicago, IL, USA · Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, USA
Belief-State Engine: Augmenting LLMs for Principled Planning Under Partial Observability
Sep 9, 2026Arnab Chattopadhayay, Debdipta HalderBelief-Space Planning LLM Agents
Independent Researcher (UCL Alumni), Bangalore, India · Independent Researcher (IIT-Kharagpur Alumni), Bangalore, India
LexAgentHallu: A Hierarchical Benchmark for Profiling Hallucinations in Legal Agents
Sep 9, 2026Yujin Zhou, Mingxuan Zheng, Chuxue Cao +4Hallucination in Language Models LLM Agent Evaluation
Hong Kong University of Science and Technology
LLM Agents as Computational Typologists
Sep 7, 2026Changbing Yang, Christopher Hammerly, Freda Shi +1LLM Agents Linguistic Typology
University of British Columbia · University of Waterloo · Vector Institute
SkillAlign: Aligning Skill Interfaces for LLM-based Agents
Sep 7, 2026Shuo Ren, Xiaomian Kang, Jiajun ZhangLLM Agent Evaluation LLM Agent Skill Learning
Institute of Automation, Chinese Academy of Sciences · School of Artificial Intelligence, University of Chinese Academy of Sciences · Wuhan AI Research
$\tau^\tau$ -Bench: An Environment for End-To-End, Realistic Agent Construction
Sep 7, 2026Quan Shi, Keshav Dhandhania, Karthik Narasimhan +1AI Coding Agents LLM Agent Evaluation
Sierra · Princeton University
SLIDEFORGE: An LLM Agent for Controllable Editing of Slides as Structured Artifacts
Sep 2, 2026Haozhen Zheng, Fulin Wang, Tianhu Xiong +6LLM Agents
University of Illinois Urbana-Champaign · Meta
CORAL: An LLM-Native Harness for Production Recommender Systems
Sep 2, 2026Muhammad Rafay Azhar, Yuhang Zhou, Gilbert Jiang +7Recommender Systems LLM Agents
Meta AI
Competitive Market Behavior of LLMs
Sep 2, 2026Pawel Struski, Jakub Swistak, Inez Okulska +1LLM Agents
University of Warsaw · Centre for Credible Artificial Intelligence (CCAI) · 4Group for Research in Applied Economics (GRAPE) +2
Coverage, Not Targeting: A Structural Regime in Multi-Turn Agent Credit Assignment
Sep 2, 2026Chenyu Zhou, Qiliang Jiang, Shuning Wu +1Credit Assignment LLM Agents
School of Engineering, Institute of Science Tokyo, Japan · College of Control Science and Engineering, Zhejiang University, China · Department of Electrical and Computer Engineering, National University of Singapore, Singapore
CAPTURE: Disentangling Preference Drift from Memory Poisoning in Personalized LLM Agents
Sep 2, 2026S M Asif Hossain, Ruksat Khan Shayoni, Md Kishor MorolAgent Memory Poisoning LLM Agents
APEx: Distillation of Agent Procedural Experience for Adaptive Deep Research Question Answering
Sep 2, 2026Jie Ding, Rui Sun, Xinyuan Zhang +2LLM Agents Agent Memory
University of Science and Technology of China · 3ByteDance Inc. · 2Chinese Academy of Sciences
AI agents reshape consensus formation in human groups
Sep 2, 2026Lin Chen, Ziyi Liu, Xia Hu +1Human-AI Interaction LLM Agents
1Network Science Institute, Northeastern University, Boston, MA, USA · Department of Electronic Engineering, Tsinghua University, Beijing, P.R. China · 3Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, P.R. China +1
Grounded, Compute-Efficient LLM Policy Agents for Energy-Poverty Equity in Physically-Constrained Peer-to-Peer Energy Markets
Sep 1, 2026Kunal Jadhav, Siddhesh MoreEnergy-Efficient ML LLM Agents
Arizona State University
When Guardrails Look Effective: Construct Validity Failures in LLM Agent Commerce Evaluation
Sep 1, 2026Peiying Zhu, Sidi ChangLLM Guardrails LLM Agent Evaluation
Blossom AI · San Francisco, CA, USA · Blossom AI Labs +1
TRIAGE: Three-level Routing and Intelligent Agent Guidance for Efficient Execution
Sep 1, 2026Ruocan WeiLLM Inference Efficiency LLM Agent Skill Learning
China Telecom Cloud, Beijing, China
What Does an Agentic Software Engineering Benchmark Measure? Profiling Task Demands and Agent Behaviour Beyond What Category Labels Reveal
Sep 1, 2026Radin Shayanfar, Keheliya Gallaba, Ahmed E. HassanSoftware Engineering Benchmark Design
Queen’s University
Classic AI Scaffolding for LLM Social Agents
Sep 1, 2026Anatole GershmanCognitive Architectures for AI Agents Human Behavior Simulation
Carnegie Mellon University (retired)
Spawn Freely, Act Sparingly: Progressive Risk Vesting for Recursive LLM-Agent Trees
Sep 1, 2026Molly WangLLM Agents LLM Agent Safety
Imperial Business School
Polished but Unresolved: Identifying Late-Stage Pressure States in Long-Horizon Tool-Use Agents
Sep 1, 2026Haoyang Chen, Yi Liu, Jianzhi Shao +3LLM Agents Long-Horizon LLM Agents
State Key Laboratory for Novel Software Technology, Nanjing University, China · Alibaba Group, China
Skill Following: Evaluating Actual Skill Use in Retrieval-Enabled LLM Agents
Sep 1, 2026Seonghyeon Cho, Chanjun ParkTool-Use Evaluation Tool-Augmented Language Model Agents
Soongsil University
S3C-LLM: Skill-Code Guided Agentic Language Models for Spectrum-to-Structure Elucidation
Aug 31, 2026Xuanle Zhao, Xinyuan Cai, Xiang Cheng +1LLM Agent Skill Learning LLM Agents
The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences · School of Artificial Intelligence, University of Chinese Academy of Sciences
ATLAS: Dual-Horizon Diagnostic Evaluation for Industrial Tool-Use Agents
Aug 31, 2026Wei Chen, Peilun Zhou, Zhaoyu Hu +8Tool-Use Evaluation LLM Agent Evaluation
University of Science and Technology of China, Meituan · Meituan
Agents in the Large: Perception-Centered Architecture for Persistent Agents
Aug 31, 2026Shihan Dou, Haoxiang Jia, Shichun Liu +14Cognitive Architectures for AI Agents Lifelong Learning Agents
NLP Lab, Fudan University · PL Lab, Peking University · CCDS, Nanyang Technological University +1
FaVOR: LLM-Based Agentic Framework for Factor Mining via Empirical Validation
Aug 31, 2026Hyeonjin Kim, Minseok Kim, Seunghyeon Jung +3Quantitative Finance Interpretable ML
Department of Computer Science and Artificial Intelligence, Dongguk University-Seoul · Department of Industrial Engineering, Seoul National University · School of Finance, Soongsil University
CAST: Critique-Aware Supervision for Training Reliable Long-Horizon Tool-Calling Agents
Aug 31, 2026Amir Saeidi, Zehua Zhang, Rishitosh Singh +6LLM Agents LLM Agent Training
Arizona State University · Cisco Research
SkillBloat: Token Amplification Attacks via Skill Injection in LLM Coding Agents
Aug 22, 2026Yuanjin Zheng, Jingbang ChenLLM Agent Security LLM Agents
CUHK-Shenzhen & SLAI
Don't Solve, Just Compare: Tiny Advisors for Runtime Intervention in LLM Agents
Aug 21, 2026Yanze Jiang, Mingxuan Li, Yuhao Wang +2LLM Agents LLM Agent Reliability
National University of Singapore
Optimal Skill Selection for LLM Agents with Provable Bicriteria Guarantees
Aug 20, 2026Yu Chen, Ruishuo Chen, Xun Wang +2Submodular Optimization LLM Agent Skill Learning
Institute for Interdisciplinary Information Sciences, Tsinghua University

Sep 10, 2026, cs.AIJ/K move · Enter open · S save

A Voice-Interactive Multi-Agent System for Smart Operating Rooms: Architecture Design and Key Technologies

Tianxiang Zhou

Wuhan United Imaging Surgical Co., Ltd. (UIS) Wuhan, China

Language Model-Based Control LLM Agent Orchestration LLM Inference Acceleration LLM Agents Multi-Agent LLMs

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This paper presents SurgicalRoomAgent, a voice-interactive multi-agent system for smart operating rooms based on large language models (LLMs). The system achieves natural language understanding, device control, intraoperative recording, and surgical report generation through a layered architecture comprising a voice interaction pipeline (wake, ASR, turn detection, agent reasoning, TTS) and an agent core (skill registry, task planner, device manager). Three key technologies are investigated: (1) KV Cache prefix warming for low-latency inference, reducing recomputation overhead from approximately 500 ms to tens of milliseconds via byte-level Longest Common Prefix reuse; (2) streaming partial JSON parsing with early parallel task execution, reducing end-to-end latency by approximately 30%; and (3) progressive skill prompt disclosure, which dynamically filters system prompts based on user role, connected devices, and surgical phase to maximize information density within limited context windows. The system is implemented using the Qwen3-27B model with llama.cpp/sglang inference engines. Experimental analysis demonstrates effective operation within a 16,384-token context limit and multi-device parallel control response times meeting OR real-time requirements.

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