14 citations · 14 across the 3 of their papers we have counts for
4 papers
Steering Black-Box Large Language Model Agents with Pitfall Anticipation World Model
Jiongxiao Wang, Han Ding, Youzhi Luo +4
Frontier black-box Large Language Model (LLM) agents are proficient at long-horizon reasoning and precise action generation. However, when it comes to a specific agentic task, they…
Uncovering Causal Relation Shifts in Event Sequences under Out-of-Domain Interventions
Kazi Tasnim Zinat, Yun Zhou, Xiang Lyu +3
Inferring causal relationships between event pairs in a temporal sequence is applicable in many domains such as healthcare, manufacturing, and transportation. Most existing work on…
A Systematic Survey of Automatic Prompt Optimization Techniques
Kiran Ramnath, Kang Zhou, Sheng Guan +18
Since the advent of large language models (LLMs), prompt engineering has been a crucial step for eliciting desired responses for various Natural Language Processing (NLP) tasks. Ho…
Collaborative LLM Numerical Reasoning with Local Data Protection
Min Zhang, Yuzhe Lu, Yun Zhou +4
Numerical reasoning over documents, which demands both contextual understanding and logical inference, is challenging for low-capacity local models deployed on computation-constrai…