conftrace_

tool use

107 papers

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Co-occurring keywords

large language model (13587) agent system (324) autonomous agent (168) benchmark evaluation (1556) language model (4599) llm agent (162) function calling (41) reinforcement learning (4352) retrieval-augmented generation (1592) external tool (11)

Papers

Rethinking Scale: Deployment Trade-offs of Small Language Models under Agent Paradigms ACL 2026
Predicting Emergent Tool Use in LLMs Before It Emerges: A Proxy Perspective AAAI 2026
Mem2ActBench: A Benchmark for Evaluating Long-Term Memory Utilization in Task-Oriented Autonomous Agents ACL 2026
AgenticQwen: Training Small Agentic Language Models with Dual Data Flywheels for Industrial-Scale Tool Use ACL 2026
RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning ACL 2026
Catching the First Light of Tomorrow: A Hackathon-Based Framework for Introducing High School Students to AI Agents AAAI 2026
Beyond ReAct: A Planner-Centric Framework for Complex Tool-Augmented LLM Reasoning AAAI 2026
AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts ACL 2026
Beyond Itinerary Planning—A Real-World Benchmark for Multi-Turn and Tool-Using Travel Tasks ACL 2026
CAR-bench: Evaluating the Consistency and Limit-Awareness of LLM Agents under Real-World Uncertainty ACL 2026
Robust Tool Use via Fission-GRPO: Learning to Recover from Execution Errors ACL 2026
SOAR: Supervision from Observation for Agentic Reinforcement Learning ACL 2026
Beyond the Context Window: Scaling Agentic RL via End-to-end Optimized Context Compression ACL 2026
VoxMind: An End-to-End Agentic Spoken Dialogue System ACL 2026
From Standard Transformers to Modern LLMs: Bringing Dialogue Models, RAG, and Agents to the Classroom EACL 2026
From Representation to Reasoning: Toward General-Purpose Visual Intelligence AAAI 2026
iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use EMNLP 2025
START: Self-taught Reasoner with Tools EMNLP 2025
Meta-Reasoning Improves Tool Use in Large Language Models NAACL 2025
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains NAACL 2025
CompileAgent: Automated Real-World Repo-Level Compilation with Tool-Integrated LLM-based Agent System ACL 2025
EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction NAACL 2025
Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger ACL 2025
LLM Agents Making Agent Tools ACL 2025
Agent vs. Agent: Automated Data Generation and Red-Teaming for Custom Agentic Workflows EMNLP 2025