activity
20232026
most citedTowards Interpretable Mental Health Analysis with Large Language Models

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

collaborators
Showing 2026 · cs.CLShow all

5 papers · 2 filters

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.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.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.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…