24 citations · 33 across the 8 of their papers we have counts for
8 papers
Constructing Executable Analytical Knowledge Representations for Meta-Analysis Synthesis Using an Agentic Harness
Lingbo Li, Anuradha Mathrani, Teo Susnjak
Meta-analysis synthesis highlights a fundamental challenge in knowledge-based scientific analysis: structured evidence does not by itself represent the analytical knowledge require…
Intrinsic Mutual Information as a Modulator for Preference Optimization
Peng Liao, Peijia Zheng, Lingbo Li +2
Offline preference optimization methods, such as Direct Preference Optimization (DPO), offer significant advantages in aligning Large Language Models (LLMs) with human values. Howe…
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…
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…
What Level of Automation is "Good Enough"? A Benchmark of Large Language Models for Meta-Analysis Data Extraction
Lingbo Li, Anuradha Mathrani, Teo Susnjak
Automating data extraction from full-text randomised controlled trials (RCTs) for meta-analysis remains a significant challenge. This study evaluates the practical performance of t…
Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data
Wenjin Niu, Zijun Gao, Liyan Song +1
Causal analysis has become an essential component in understanding the underlying causes of phenomena across various fields. Despite its significance, existing literature on causal…
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey
Zijun Gao, Haibao Liu, Lingbo Li
Data Augmentation (DA) has become a critical approach in Time Series Classification (TSC), primarily for its capacity to expand training datasets, enhance model robustness, introdu…
ASTA: Learning Analytical Semantics over Tables for Intelligent Data Analysis and Visualization
Lingbo Li, Tianle Li, Xinyi He +3
Intelligent analysis and visualization of tables use techniques to automatically recommend useful knowledge from data, thus freeing users from tedious multi-dimension data mining.…