activity
20192024
most citedMitigating Gender Bias in Natural Language Processing: Literature Review

42 citations · 55 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2024★ 1 cited

Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions

Angana Borah, Rada Mihalcea

As Large Language Models (LLMs) continue to evolve, they are increasingly being employed in numerous studies to simulate societies and execute diverse social tasks. However, LLMs a…

cs.CL2023★ 10 cited

Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings

Daniel Rose, Vaishnavi Himakunthala, Andy Ouyang +7

Recent advances in large language models elicit reasoning in a chain-of-thought that allows models to decompose problems in a human-like fashion. Though this paradigm improves mult…

cs.CL2020

Investigating African-American Vernacular English in Transformer-Based Text Generation

Sophie Groenwold, Lily Ou, Aesha Parekh +4

The growth of social media has encouraged the written use of African American Vernacular English (AAVE), which has traditionally been used only in oral contexts. However, NLP model…

cs.CL2020★ 2 cited

Evaluating Transformer-Based Multilingual Text Classification

Sophie Groenwold, Samhita Honnavalli, Lily Ou +4

As NLP tools become ubiquitous in today's technological landscape, they are increasingly applied to languages with a variety of typological structures. However, NLP research does n…

cs.LG2019

Towards Understanding Gender Bias in Relation Extraction

Andrew Gaut, Tony Sun, Shirlyn Tang +8

Recent developments in Neural Relation Extraction (NRE) have made significant strides towards Automated Knowledge Base Construction (AKBC). While much attention has been dedicated…

cs.CL2019★ 42 cited

Mitigating Gender Bias in Natural Language Processing: Literature Review

Tony Sun, Andrew Gaut, Shirlyn Tang +7

As Natural Language Processing (NLP) and Machine Learning (ML) tools rise in popularity, it becomes increasingly vital to recognize the role they play in shaping societal biases an…