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20222025
most citedSmall But Funny: A Feedback-Driven Approach to Humor Distillation

1 citations · 3 across the 8 of their papers we have counts for

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cs.CL2024

CulturalBench: A Robust, Diverse, and Challenging Cultural Benchmark by Human-AI CulturalTeaming

Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin +8

Robust, diverse, and challenging cultural knowledge benchmarks are essential for measuring our progress towards making LMs that are helpful across diverse cultures. We introduce Cu…

cs.CL2024

From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models

Mehar Bhatia, Sahithya Ravi, Aditya Chinchure +2

Despite recent advancements in vision-language models, their performance remains suboptimal on images from non-western cultures due to underrepresentation in training datasets. Var…

cs.CL20241 cited

CulturalTeaming: AI-Assisted Interactive Red-Teaming for Challenging LLMs' (Lack of) Multicultural Knowledge

Yu Ying Chiu, Liwei Jiang, Maria Antoniak +7

Frontier large language models (LLMs) are developed by researchers and practitioners with skewed cultural backgrounds and on datasets with skewed sources. However, LLMs' (lack of)…

cs.CL2024

Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights

Maksym Taranukhin, Sahithya Ravi, Gabor Lukacs +2

The Canadian air travel sector has seen a significant increase in flight delays, cancellations, and other issues concerning passenger rights. Recognizing this demand, we present a…

cs.CL20241 cited

Small But Funny: A Feedback-Driven Approach to Humor Distillation

Sahithya Ravi, Patrick Huber, Akshat Shrivastava +4

The emergence of Large Language Models (LLMs) has brought to light promising language generation capabilities, particularly in performing tasks like complex reasoning and creative…

cs.CL2023

CASE: Commonsense-Augmented Score with an Expanded Answer Space

Wenkai Chen, Sahithya Ravi, Vered Shwartz

LLMs have demonstrated impressive zero-shot performance on NLP tasks thanks to the knowledge they acquired in their training. In multiple-choice QA tasks, the LM probabilities are…