1 citations · 1 across the 5 of their papers we have counts for
5 papers
Through the Judge's Eyes: Inferred Thinking Traces Improve Reliability of LLM Raters
Xingjian Zhang, Tianhong Gao, Suliang Jin +4
Large language models (LLMs) are increasingly used as raters for evaluation tasks. However, their reliability is often limited for subjective tasks, when human judgments involve su…
Benchmarking and Learning Real-World Customer Service Dialogue
Tianhong Gao, Jundong Shen, Jiapeng Wang +4
Existing benchmarks and training pipelines for industrial intelligent customer service (ICS) remain misaligned with real-world dialogue requirements, overemphasizing verifiable tas…
MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning
Tianhong Gao, Yannian Fu, Weiqun Wu +3
Large Language Models (LLMs), enhanced through agent tuning, have demonstrated remarkable capabilities in Chain-of-Thought (CoT) and tool utilization, significantly surpassing the…
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
Taoran Fang, Tianhong Gao, Chunping Wang +4
Graph neural networks (GNNs) with attention mechanisms, often referred to as attentive GNNs, have emerged as a prominent paradigm in advanced GNN models in recent years. However, o…
Efficient and Comprehensive Feature Extraction in Large Vision-Language Model for Pathology Analysis
Shengxuming Zhang, Weihan Li, Tianhong Gao +6
Pathological diagnosis is vital for determining disease characteristics, guiding treatment, and assessing prognosis, relying heavily on detailed, multi-scale analysis of high-resol…