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cs.CL2026

A Survey of Toxicity Detection and Mitigation Strategies for Multilingual Language Models

Soham Dan, Himanshu Beniwal, Thomas Hartvigsen

Large language models (LLMs) are increasingly deployed across languages, but their safety behavior remains uneven across linguistic and cultural contexts. This survey synthesizes w…

cs.CL2026

Can Language Models Identify Side Effects of Breast Cancer Radiation Treatments?

Natalie Seah, Danielle S. Bitterman, Daphna Spiegel +1

Accurately communicating the side effects of cancer treatments to cancer survivors is critical, particularly in settings such as informed consent, where clinicians must clearly and…

cs.CL2026

Evaluating Temporal Consistency in Multi-Turn Language Models

Yash Kumar Atri, Steven L. Johnson, Tom Hartvigsen

Language models are increasingly deployed in interactive settings where users reason about facts over time rather than in isolation. In such scenarios, correct behavior requires mo…

cs.CL2026

EDUMATH: Generating Standards-aligned Educational Math Word Problems

Bryan R. Christ, Penelope Molitz, Beau LeBlond +3

Math word problems (MWPs) are critical K-12 educational tools, and customizing them to students' interests and ability levels can enhance learning. However, teachers struggle to fi…

cs.CL2026

BEDTime: A Unified Benchmark for Automatically Describing Time Series

Medhasweta Sen, Zachary Gottesman, Jiaxing Qiu +3

Recent works propose complex multi-modal models that handle both time series and language, ultimately claiming high performance on complex tasks like time series reasoning and cros…

cs.CL2026

Model Editing with Graph-Based External Memory

Yash Kumar Atri, Ahmed Alaa, Thomas Hartvigsen

Large language models (LLMs) have revolutionized natural language processing, yet their practical utility is often limited by persistent issues of hallucinations and outdated param…