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cs.CL2025

Do Methods to Jailbreak and Defend LLMs Generalize Across Languages?

Berk Atil, Rebecca J. Passonneau, Fred Morstatter

Large language models (LLMs) undergo safety alignment after training and tuning, yet recent work shows that safety can be bypassed through jailbreak attacks. While many jailbreaks…

cs.CL2025

Knowledge Graph Analysis of Legal Understanding and Violations in LLMs

Abha Jha, Abel Salinas, Fred Morstatter

The rise of Large Language Models (LLMs) offers transformative potential for interpreting complex legal frameworks, such as Title 18 Section 175 of the US Code, which governs biolo…

cs.CL2025

Offset Unlearning for Large Language Models

James Y. Huang, Wenxuan Zhou, Fei Wang +4

Despite the strong capabilities of Large Language Models (LLMs) to acquire knowledge from their training corpora, the memorization of sensitive information in the corpora such as c…

cs.CL2025

The Shrinking Landscape of Linguistic Diversity in the Age of Large Language Models

Zhivar Sourati, Farzan Karimi-Malekabadi, Meltem Ozcan +7

Language is far more than a communication tool; it encodes a wealth of information about a person's identity, psychological state, and social context, providing valuable insights f…

cs.CL2024

The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models

Kian Ahrabian, Zhivar Sourati, Kexuan Sun +4

While large language models (LLMs) are still being adopted to new domains and utilized in novel applications, we are experiencing an influx of the new generation of foundation mode…