← authors · overview

• Goal-Aware Prediction: Learning to Model What Matters
  2020 · 25 citations
• Agentlite: A Lightweight Library For Building And Advancing Task-oriented LLM Agent System
  2024 · 10 citations
• BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents
  2023 · 9 citations
• xLAM: A Family of Large Action Models to Empower AI Agent Systems
  2024 · 5 citations
• MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models
  2025 · 2 citations
• Mcp-universe: Benchmarking Large Language Models With Real-world Model Context Protocol Servers
  2025 · 2 citations
• REX: Rapid Exploration and eXploitation for AI Agents
  2023 · 2 citations
• ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
  2025 · 1 citations
• GTA1: GUI Test-time Scaling Agent
  2025
• RealUserSim: Bridging the Reality Gap in Agent Benchmarking via Grounded User Simulation
  2026
• Counterparty Modeling is Not Strategy: The Limits of LLM Negotiators
  2026
• GPA: Learning GUI Process Automation From Demonstrations
  2026
• Test-time Adaptation For LLM Agents Via Environment Interaction
  2025
• Locobench-agent: An Interactive Benchmark For LLM Agents In Long-context Software Engineering
  2025
• CoAct-1: Computer-using Multi-Agent System with Coding Actions
  2025