8 citations · 14 across the 7 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.SE2026
OpenHarmony Bench: Evaluating LLMs and Coding Agents on OpenHarmony App Development
Li Li, Han Hu, Tianjian Zhang +27
We present OPENHARMONY BENCH, an app-level coding benchmark for evaluating LLM-based coding agents on OpenHarmony ArkTS applications. Unlike function-level benchmarks, it evaluates…
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…