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cs.DL2024

Causal Effect of Group Diversity on Redundancy and Coverage in Peer-Reviewing

Navita Goyal, Ivan Stelmakh, Nihar Shah +1

A large host of scientific journals and conferences solicit peer reviews from multiple reviewers for the same submission, aiming to gather a broader range of perspectives and mitig…

cs.CL2024

Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators

Yang Trista Cao, Lovely-Frances Domingo, Sarah Ann Gilbert +3

Extensive efforts in automated approaches for content moderation have been focused on developing models to identify toxic, offensive, and hateful content with the aim of lightening…

cs.CL2024

Natural Language Inference Improves Compositionality in Vision-Language Models

Paola Cascante-Bonilla, Yu Hou, Yang Trista Cao +2

Compositional reasoning in Vision-Language Models (VLMs) remains challenging as these models often struggle to relate objects, attributes, and spatial relationships. Recent methods…

cs.CL2024

Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA

Maharshi Gor, Hal Daumé, Tianyi Zhou +1

Recent advancements of large language models (LLMs) have led to claims of AI surpassing humans in natural language processing (NLP) tasks such as textual understanding and reasonin…

cs.AI2024

"You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations

Huy Nghiem, John Prindle, Jieyu Zhao +1

Social science research has shown that candidates with names indicative of certain races or genders often face discrimination in employment practices. Similarly, Large Language Mod…

cs.CL2024

HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models

Huy Nghiem, Hal Daumé

The widespread use of social media necessitates reliable and efficient detection of offensive content to mitigate harmful effects. Although sophisticated models perform well on ind…