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Lidia S. Chao

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#artificial intelligence Review Oct 2026

How Is Automated Research Evaluated? A Survey of Benchmarks and Evaluation Practices

Automated research systems support literature synthesis, ideation, experiments, writing, and peer review, but their evaluation is dispersed across tasks, benchmarks, and studies that are difficult to compare directly. We review this literature from the perspective of evaluation design and evidence, covering six targets...

Liu-Lei Zhang, De-Jing Zhou, Chu-Yue Huang et al. · 0 citations
#natural language process... Preprint Sep 2026

Before the Arrest: Benchmarking LLMs on Criminal Profiling from Incomplete Evidence

The Profiling, Investigation, and Judgment (PIJ), comprising 2,500 real homicide cases from five countries, is introduced and it is found that performance degrades systematically as tasks shift from explicit fact extraction to implicit reasoning over unknown suspect profiles.

Yu-Tong Yao, Yan-Jie Cao, Guan-Hua Chen et al. · 0 citations
#artificial intelligence Preprint Aug 2026

IndicDetect: Evaluating Cross-Lingual LLM-Generated Text Detection for Hindi, Telugu, and Tamil

IndicDetect provides standard data splits, an evaluation protocol, and baselines to establish a robust, language-aware foundation for AI-generated text detection in Indic scripts, and finds substantial robustness failures.

Bhaskar Ganesh Devalla, Junchao Wu, Nilesh Dokuparthi et al. · 0 citations

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