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From the 23 of 454 papers with an AI index.

most citedTowards Accurate Model Selection in Deep Unsupervised Domain Adaptation

75 citations

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9 papers · 1 filter

cs.CL2026

From Single- to Cross-Document: Benchmarking Multi-Granularity Event Analysis of Large Language Models

Tao Wen, Shuai Shao, Pei Ke +7

The paper introduces MiGUE-Bench, a benchmark that evaluates large language models on multi‑granularity event analysis tasks ranging from single‑document event detection to cross‑d…

cs.CL2026

BiasLab: A Multilingual Dual-Framing Framework for LLM Bias Measurement, Applied to Workplace and HR Contexts

William Guey, Wei Zhang, Pei-Luen Patrick Rau +4

Background: Large language models (LLMs) harbor systematic biases that are particularly consequential in workplace and HR contexts, where their outputs increasingly influence hirin…

cs.CL2026

New Terms, New Toxicity: Consensus-based Chinese Neologism Toxicity Detection via Search-Augmented LLMs

Shiyao Cui, QingLin Zhang, Di Wang +7

Neologisms, emerging terms in meaning or form, can serve as new vehicles for toxic expression, like "country girl" as a stigmatizing label targeting feminism. Such toxic neologisms…

cs.CL2026

CheckRLM: Effective Knowledge-Thought Coherence Checking in Retrieval-Augmented Reasoning

Dingling Xu, Ruobing Wang, Qingfei Zhao +8

Reasoning Language Models (RLMs) have significantly improved performance on complex tasks by extending the reasoning chain. However, these chains are prone to containing factual er…

cs.CL2026

Cross-Source Reasoning-based Correction for Author Name Disambiguation

Fanjin Zhang, Yunhe Pang, Bo Chen +4

Author name disambiguation is a critical challenge in academic search systems, often addressed through from-scratch and real-time disambiguation approaches. However, current algori…

cs.CL2026

Parametric Social Identity Injection and Diversification in Public Opinion Simulation

Hexi Wang, Yujia Zhou, Bangde Du +2

Large language models (LLMs) have recently been adopted as synthetic agents for public opinion simulation, offering a promising alternative to costly and slow human surveys. Despit…