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20232026
most citedTowards Interpretable Mental Health Analysis with Large Language Models

128 citations · 215 across the 22 of their papers we have counts for

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12 papers · 1 filter

cs.HC2026

Words Caught in the Heart: Simulating Person-Specific Expression for Self-Opaque Clients in Psychotherapy

Mengxi Xiao, Jingjing Chen, Ziyan Kuang +12

Psychotherapy clients may experience distress before they can coherently describe it, and their expression changes with emotion, perceived safety, and trust. Large language model-b…

cs.CL2026

Style Wins, Substance Loses: A Diagnosis of LLM-as-Judge in Idea Generation

Fengxian Ji, Yuke Li, Jingpu Yang +8

However, whether these judges truly evaluate the scientific substance of ideas or are influenced by superficial stylistic presentation remains an open question. To address this que…

cs.AI2026

LabGuard: Grounding Natural-Language Laboratory Rules into Runtime Guards for Embodied Laboratory Agents

Jingpu Yang, Fengxian Ji, Zhengzhao Lai +8

Scientific embodied agents are increasingly capable of carrying out laboratory procedures, but executing these procedures safely in dynamic laboratory environments remains challeng…

cs.CL2026

TVIR: Building Deep Research Agents Towards Text-Visual Interleaved Report Generation

Xinkai Ma, Zhiqi Bai, Dingling Zhang +21

Deep Research Agents have shown strong capability in multi-step information retrieval, reasoning, and long-form report generation, but existing benchmarks and systems remain predom…

cs.AI2026

Where Do Deep-Research Agents Go Wrong? Span-Level Error Localization in Agent Trajectories

Jiaming Wang, Ziteng Feng, Jiangtao Wu +8

Deep-research agents solve tasks through long trajectories of search, tool use, evidence inspection, and answer synthesis. Evaluation based on final answers shows whether an agent…

cs.HC2026

Overview of the ClinicalSkillQA 2026 Shared Task on Continuous Perception and Procedural Reasoning in Clinical Skill Assessment

Xiyang Huang, Renxiong Wei, Yihuai Xu +10

This paper presents an overview of the ClinicalSkillQA 2026 shared task, which was organized with the BioNLP Workshop at ACL 2026. The goal of this shared task is to evaluate conti…

cs.CL2026

TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice

Gang Hu, Yating Chen, Haiyan Ding +5

While Large Language Models (LLMs) excel in various general domains, they exhibit notable gaps in the highly specialized, knowledge-intensive, and legally regulated Chinese tax dom…

cs.AI2026

DR-Eval: Towards Realistic and Reproducible Deep Research Evaluation

Qianqian Xie, Qingheng Xiong, He Zhu +16

Deep Research Agents (DRAs) aim to solve complex, long-horizon research tasks involving planning, retrieval, multimodal understanding, and report generation, yet their evaluation r…

cs.CV2026

SiMing-Bench: Evaluating Procedural Correctness from Continuous Interactions in Clinical Skill Videos

Xiyang Huang, Jiawei Lin, Keying Wu +9

Current video benchmarks for multimodal large language models (MLLMs) focus on event recognition, temporal ordering, and long-context recall, but overlook a harder capability requi…

cs.CV2026

Appear2Meaning: A Cross-Cultural Benchmark for Structured Cultural Metadata Inference from Images

Yuechen Jiang, Enze Zhang, Md Mohsinul Kabir +4

Recent advances in vision-language models (VLMs) have improved image captioning for cultural heritage. However, inferring structured cultural metadata (e.g., creator, origin, perio…

cs.CL2026

MisSpans: Fine-Grained False Span Identification in Cross-Domain Fake News

Zhiwei Liu, Paul Thompson, Jiaqi Rong +5

Online misinformation is increasingly pervasive, yet most existing benchmarks and methods evaluate veracity at the level of whole claims or paragraphs using coarse binary labels, o…

cs.CL2026

RAAR: Retrieval Augmented Agentic Reasoning for Cross-Domain Misinformation Detection

Zhiwei Liu, Runteng Guo, Baojie Qu +4

Cross-domain misinformation detection is challenging, as misinformation arises across domains with substantial differences in knowledge and discourse. Existing methods often rely o…