Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios
Paper • 2401.17167 • Published • 1
AI & ML interests
Large Language Models, Tool Usage, Functional Calling
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vivienlauÂ
authored 20
papers 3 days ago
Understanding the planning of LLM agents: A survey
Paper • 2402.02716 • Published • 1
ToolACE: Winning the Points of LLM Function Calling
Paper • 2409.00920 • Published • 2
GUI Agents with Foundation Models: A Comprehensive Survey
Paper • 2411.04890 • Published
Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance
Paper • 2410.12361 • Published
Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning
Paper • 2501.09766 • Published • 1
ACEBench: Who Wins the Match Point in Tool Usage?
Paper • 2501.12851 • Published • 4
Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs
Paper • 2504.07866 • Published • 11
ToolACE-R: Tool Learning with Adaptive Self-Refinement
Paper • 2504.01400 • Published
Superplatforms Have to Attack AI Agents
Paper • 2505.17861 • Published • 1
SPA-Bench: A Comprehensive Benchmark for SmartPhone Agent Evaluation
Paper • 2410.15164 • Published
ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution
Paper • 2505.07512 • Published
ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction
Paper • 2508.12685 • Published • 1
Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey
Paper • 2506.11102 • Published
Quick on the Uptake: Eliciting Implicit Intents from Human Demonstrations for Personalized Mobile-Use Agents
Paper • 2508.08645 • Published • 1
VeriOS: Query-Driven Proactive Human-Agent-GUI Interaction for Trustworthy OS Agents
Paper • 2509.07553 • Published • 1
A Survey of AI Agent Protocols
Paper • 2504.16736 • Published • 1
A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges
Paper • 2508.05668 • Published • 1
ColorAgent: Building A Robust, Personalized, and Interactive OS Agent
Paper • 2510.19386 • Published • 9
LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls
Paper • 2511.09148 • Published • 18