3 papers
cs.CL2026
DialectLLM: A Dialect-Aware Dialog[ue] Generation Framework Beyond Standard American English
Jio Oh, Paul Vicinanza, Thomas Butler +3
More than 80% of the 1.6B English speakers do not use Standard American English (SAE), yet LLMs often fail to correctly identify non-SAE dialects and generate stereotyped responses…
cs.CL2025
Multi-lingual Multi-turn Automated Red Teaming for LLMs
Abhishek Singhania, Christophe Dupuy, Shivam Mangale +1
Language Model Models (LLMs) have improved dramatically in the past few years, increasing their adoption and the scope of their capabilities over time. A significant amount of work…
cs.CL2024
GeMQuAD : Generating Multilingual Question Answering Datasets from Large Language Models using Few Shot Learning
Amani Namboori, Shivam Mangale, Andy Rosenbaum +1
The emergence of Large Language Models (LLMs) with capabilities like In-Context Learning (ICL) has ushered in new possibilities for data generation across various domains while min…