Co-occurring keywords · papers mentioning both
Papers
Assertion-Conditioned Compliance: A Provenance-Aware Vulnerability in Multi-Turn Tool-Calling Agents
EACL 2026
CodeDance: A Dynamic Tool-integrated MLLM for Executable Visual Reasoning
CVPR 2026
DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning
EACL 2026
Live API-Bench: 2500+ Live APIs for Testing Multi-Step Tool Calling
EACL 2026
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
CVPR 2026
Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models
ACL 2026
rosaOS: Agentic Operating System for Embodied LLMs
ACL 2026
Toward Scalable Verifiable Reward: Proxy State-Based Evaluation for Multi-turn Tool-Calling LLM Agents
ACL 2026
CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios
EMNLP 2025
Divergent Thoughts toward One Goal: LLM-based Multi-Agent Collaboration System for Electronic Design Automation
NAACL 2025
Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists
ACL 2025
From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial Injection
NAACL 2025
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback
ACL 2025
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls
EMNLP 2025
NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models
COLING 2025
SCRIBE: Structured Chain Reasoning for Interactive Behaviour Explanations using Tool Calling
EMNLP 2025
Sparse Rewards Can Self-Train Dialogue Agents
ACL 2025
Tool Calling for Arabic LLMs: Data Strategies and Instruction Tuning
EMNLP 2025
TOOL-ED: Enhancing Empathetic Response Generation with the Tool Calling Capability of LLM
COLING 2025
ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis
NAACL 2025
ToolGen: Unified Tool Retrieval and Calling via Generation
ICLR 2025
Tool Preferences in Agentic LLMs are Unreliable
EMNLP 2025
ToolReflection: Improving Large Language Models for Real-World API Calls with Self-Generated Data
ACL 2025
When2Call: When (not) to Call Tools
NAACL 2025
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
EMNLP 2024