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20242026
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cs.CL2026

Semantic Triplet Restoration: A Novel Protocol for Hierarchical Table Understanding in Large Language Models

Yibin Zhao, Fangxin Shang, Dingrui Yang +1

Table question answering requires models to recover semantic relations encoded implicitly by two-dimensional layout, merged cells, and hierarchical headers. Current pipelines typic…

cs.CL2025

AutoCBT: An Autonomous Multi-agent Framework for Cognitive Behavioral Therapy in Psychological Counseling

Ancheng Xu, Di Yang, Renhao Li +13

Traditional in-person psychological counseling remains primarily niche, often chosen by individuals with psychological issues, while online automated counseling offers a potential…

cs.CL2024

Small Language Model as Data Prospector for Large Language Model

Shiwen Ni, Haihong Wu, Di Yang +3

The quality of instruction data directly affects the performance of fine-tuned Large Language Models (LLMs). Previously, \cite{li2023one} proposed \texttt{NUGGETS}, which identifie…

cs.CL2024

CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations

Jiahao Zhao, Jingwei Zhu, Minghuan Tan +8

In this paper, we introduce a novel psychological benchmark, CPsyExam, constructed from questions sourced from Chinese language examinations. CPsyExam is designed to prioritize psy…

cs.CL2024

CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling

Chenhao Zhang, Renhao Li, Minghuan Tan +7

Using large language models (LLMs) to assist psychological counseling is a significant but challenging task at present. Attempts have been made on improving empathetic conversation…