1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AI2026
SkillsInjector: Dynamic Skill Context Construction for LLM Agents
Yanchao Li, Wanhao Liu, Ben Gao +5
LLM agents now draw on growing skill libraries to handle complex tasks. However, injecting more skills does not always improve task completion and can even degrade it. Existing met…
cs.LG2025★ 1 cited
ChemBOMAS: Accelerated BO in Chemistry with LLM-Enhanced Multi-Agent System
Dong Han, Zhehong Ai, Pengxiang Cai +16
Bayesian optimization (BO) is a powerful tool for scientific discovery in chemistry, yet its efficiency is often hampered by the sparse experimental data and vast search space. Her…
cs.AI2023★ 1 cited
GPT-Lab: Next Generation Of Optimal Chemistry Discovery By GPT Driven Robotic Lab
Xiaokai Qin, Mingda Song, Yangguan Chen +2
The integration of robots in chemical experiments has enhanced experimental efficiency, but lacking the human intelligence to comprehend literature, they seldom provide assistance…