Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
FlowScout: From Execution Feedback to Reliable Tool-Using Agent Workflows
Shuo Hao, You Lu, Bihuan Chen +1
Agentic workflows have become an important abstraction for building reliable LLM-based automation systems by organizing large language models (LLMs), tools, and control logic into…
cs.LG2026
DOCSCHISEL: Adaptive Tool Documentation Optimization Framework for LLM Agents
You Lu, Kun Zhang, Bihuan Chen +1
Large language models (LLMs) increasingly rely on external tools to accomplish complex real-world tasks, making tool documentation a critical grounding resource for LLM agents. Exi…
cs.LG2023
RARE: Robust Masked Graph Autoencoder
Wenxuan Tu, Qing Liao, Sihang Zhou +5
Masked graph autoencoder (MGAE) has emerged as a promising self-supervised graph pre-training (SGP) paradigm due to its simplicity and effectiveness. However, existing efforts perf…