Tool Selection for Language Model Agents

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37 papers13 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

  1. LIBRA: Programmatic Induction of Executable Tool Libraries

    Nov 3, 2026Zekai Li, Zhenke Liu, Yonghao Li +3Tool Selection for Language Model AgentsTool Discovery for LLM Agents

    Department of Computer Science, Brown University, Providence, RI 02912, USA · Department of Computer Science, University of Southern California, Los Angeles, CA 0089, USA

  2. SLATE: A Large-Scale Benchmark for Long-Horizon API Selection in E-commerce Tool Use

    Nov 2, 2026Rongzhe Wei, Ge Shi, Min Cheng +5Tool Selection for Language Model AgentsAI Agent Benchmarks

    Amazon · Georgia Institute of Technology

  3. El Agente Fármaco: A Scalable AI Scientist for Drug Discovery

    Nov 2, 2026Marcel Müller, Mohammad Ghazi Vakili, Yoshihiro Ogura +13Drug DiscoveryScientific Workflow Automation

    Department of Chemistry, University of Toronto, Lash Miller Chemical Laboratories, 80 St. George Street, ON M5S 3H6, Toronto, Canada · Vector Institute for Artificial Intelligence, 661 University Ave. Suite 710, ON M5G 1M1, Toronto, Canada · Department of Computer Science, University of Toronto, Sandford Fleming Building, 10 King’s College Road, ON M5S 3G4, Toronto, Canada +8

  4. Completeness and Cost of Retrieval Structures for Multi-Tool Requests in LLM Agents

    Oct 30, 2026Shuyang ZhangTool Discovery for LLM AgentsTool Selection for Language Model Agents

  5. SKALOS: Learning to Distinguish Similar Skills with Capability Graphs

    Oct 26, 2026Wenhan Xiao, Ziwei Zhang, Xingcheng Fu +5LLM Agent Skill RetrievalTool Selection for Language Model Agents

    Beihang University, Beijing, China · Guangxi Normal University, Guilin, China · Nankai University, Tianjin, China +1

  6. Heard Enough to Act: Early Tool Calling in Spoken Dialogue Systems

    Oct 26, 2026Yizhou Peng, Chen Chen, Donghang Wu +2Spoken Dialogue SystemsSpoken Language Understanding

    Nanyang Technological University, Singapore · AI Singapore, Singapore

  7. How Do Small Coding Agents Use Code Graphs and Embeddings?

    Oct 25, 2026Saurav BellamAI Coding AgentsCode Localization

    The University of Texas at Austin

  8. Training Small Language Models for Transferable Tool Selection

    Oct 22, 2026Zhaoyi Zhou, Akshayaa Magesh, Jeongyeol Kwon +4Tool Selection for Language Model AgentsSmall Language Models

    Meta · Carnegie Mellon University

  9. Folding Pooled Usage Examples into the Tool Index Lowers Retrieval of Unused Tools

    Oct 22, 2026Abhijit ChakrabortyTool Selection for Language Model AgentsTool-Augmented Language Model Agents

    Arizona State University

  10. Toolflation: Seller Agents Distort Tool Markets Through Spontaneous Generative Engine Optimization

    Oct 20, 2026Zhenwei Tang, Di Bai, Jintao Liu +3Generative Engine OptimizationDeception in Language Models

    Google · University of Toronto · Google DeepMind

  11. NIOCIS: Typed-Decision Next-Hop Routing with Node-Conditioned Option Spaces for Tool-Use Agents

    Oct 19, 2026Jin Han, Mingfeng Xin, Feng Liang +1LLM Agent RoutingLLM Agent Efficiency

    Independent Researcher

  12. Learning Which Device to Call: Online Tool Grounding for LLM Agents in IoT

    Oct 18, 2026Yichen Liu, Xiaochong Jiang, Haoran Yu +1LLM Tool UseTool Selection for Language Model Agents

    Independent Researcher, Seattle, WA, USA · Independent Researcher, Boston, MA, USA

  13. Agents' Last Doubt: Knowing When to Act and When to Step Back in Tool-Using Agents

    Oct 16, 2026Qisai Liu, Qingyue Jiao, Bangwei Guo +7Tool-Using AgentsLLM Decision-Making

    Iowa State University · University of Notre Dame · Rutgers University +2

  14. Tool Recommendation for Multi-Step Agents: Finding Every Tool a Task Needs

    Oct 16, 2026Sam Partee, River Stevens, Thierry Damiba +1Tool Selection for Language Model AgentsTool Discovery for LLM Agents

  15. JevAgentHarness: Benchmarking, Deploying and Training Decision Models That Share Control with LLMs

    Oct 15, 2026Kunlun Zhu, Tao Feng, Xu Han +5LLM Agent HarnessesLLM Agents

    University of Illinois Urbana-Champaign · Princeton University · Google

  16. TRACER: Trajectory-Aware Tool Retrieval for LLM Agents

    Oct 15, 2026Tanish Kher, Sarvesh DK, Abedelkadir Asi +2Tool Selection for Language Model AgentsLLM Tool Use

    Microsoft

  17. Toolcompass: Guiding Tool Trialing, Not Suppressing It

    Sep 22, 2026Junlin Fang, Chong Zhang, Do Nguyen-Thanh +3Representation LearningTool-Augmented Language Model Agents

    College of Computing and Data Science, Nanyang Technological University · Zhejiang University · Australian Artificial Intelligence Institute, University of Technology Sydney +1

  18. Toollery: Scaling LLM Agents to Thousands of Skills and Tools

    Sep 2, 2026Xiangxi Tian, Ran GuanTool Selection for Language Model AgentsLLM Agent Skill Retrieval

    Laboratories, Huawei

  19. AgentWeave: Routing Before Reasoning for Efficient Function Calling in Tool-Rich Language Models

    Aug 24, 2026Saurav Singla, Aarav Singla, Advik Gupta +1Tool Selection for Language Model AgentsLLM Routing

  20. LLM within MCP Matters: Measuring Inefficient Resource Utilization Driven by LLMs

    Aug 9, 2026Minhan Cho, Soyoung Park, Kihyeon Jeong +3LLM Inference EfficiencyInstruction Following

    Remember & Company AI Lab · Sungkyunkwan University · National Assembly Research Service +2

  21. Diagnosing Tool-Selection Reasoning in LLM Agents with Canary Tools

    Aug 5, 2026Atul Anand, Sourav ChattarajLLM Agent EvaluationTool-Using Language Agents

  22. Looking Is Not Picking: An Attention-Segment Account of Tool-Selection Failures in LLM Agents

    Jun 15, 2026Shiyang ChenAI Agent ReliabilityTool-Augmented Language Model Agents

    Beijing Institute of Technology

  23. ToolMenuBench: Benchmarking Tool-Menu Filtering Strategies for Reliable and Efficient LLM Agents

    Jun 13, 2026Rahul Suresh Babu, Laxmipriya Ganesh IyerAI Agent ReliabilityTool-Use Evaluation

    Independent Researcher United States of America

  24. NTILC: Neural Tool Invocation via Learned Compression

    Jun 4, 2026Andrew Krikorian, Yayuan Li, Jason J. CorsoLLM Inference AccelerationLLM Tool Use

    Department of Robotics University of Michigan Ann Arbor, MI 48104 · Department of ECE University of Michigan Ann Arbor, MI 48104

  25. ToolChoiceConfusion: Causal Minimal Tool Filtering for Reliable LLM Agents

    Jun 4, 2026Rahul Suresh Babu, Laxmipriya Ganesh IyerAI Agent ReliabilityTool-Use Evaluation

    Independent Researcher United States of America

  26. Knowing When to Ask: Segment-Level Credit Assignment for LLM Tool Use

    May 27, 2026Abhijit Kumar, Zoey Wu, Mohit SuleyRL for LLM AgentsReward Design for RL

    Microsoft AI Redmond, WA

  27. How Many Tools Should an LLM Agent See? A Chance-Corrected Answer

    May 23, 2026Vyzantinos Repantis, Ameya Gawde, Harshvardhan Singh +1Tool-Use EvaluationTool-Augmented Language Model Agents

    Meta Platforms

  28. LLM Agents Already Know When to Call Tools -- Even Without Reasoning

    May 10, 2026Chung-En Sun, Linbo Liu, Ge Yan +2Tool-Augmented Language Model AgentsAI Agent Benchmarks

    University of California, San Diego

  29. Tool Calling is Linearly Readable and Steerable in Language Models

    May 8, 2026Zekun Wu, Ze Wang, Seonglae Cho +4AI Agent ReliabilityTool-Augmented Language Model Agents

    University College London · Holistic AI · Imperial College London

  30. FitText: Evolving Agent Tool Ecologies via Memetic Retrieval

    May 4, 2026Kyle Zheng, Han Zhang, Renliang Sun +2Tool-Use EvaluationTool-Augmented Language Model Agents

    UCLA