3 papers
cs.LG2025
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…
cs.CL2025
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…
cs.CV2025
SDRT: Enhance Vision-Language Models by Self-Distillation with Diverse Reasoning Traces
Guande Wu, Huan Song, Yawei Wang +4
Reasoning is increasingly crucial for various tasks. While chain-of-thought prompting enables large language models to leverage reasoning effectively, harnessing the reasoning capa…