1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2025★ 1 cited
LETToT: Label-Free Evaluation of Large Language Models On Tourism Using Expert Tree-of-Thought
Ruiyan Qi, Congding Wen, Weibo Zhou +3
Evaluating large language models (LLMs) in specific domain like tourism remains challenging due to the prohibitive cost of annotated benchmarks and persistent issues like hallucina…
cs.CL2025
D-SCoRE: Document-Centric Segmentation and CoT Reasoning with Structured Export for QA-CoT Data Generation
Weibo Zhou, Lingbo Li, Shangsong Liang
The scarcity and high cost of high-quality domain-specific question-answering (QA) datasets limit supervised fine-tuning of large language models (LLMs). We introduce $\textbf{D-SC…
cs.CL2025
Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively
Jiawei Gu, Shangsong Liang
Effective decision-making in Large Language Models (LLMs) is essential for handling intricate tasks. However, existing approaches prioritize performance but often overlook the bala…