ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.00306
  4. Cited By
Probing Explicit and Implicit Gender Bias through LLM Conditional Text
  Generation

Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation

1 November 2023
Xiangjue Dong
Yibo Wang
Philip S. Yu
James Caverlee
ArXivPDFHTML

Papers citing "Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation"

8 / 8 papers shown
Title
Representation Engineering for Large-Language Models: Survey and Research Challenges
Representation Engineering for Large-Language Models: Survey and Research Challenges
Lukasz Bartoszcze
Sarthak Munshi
Bryan Sukidi
Jennifer Yen
Zejia Yang
David Williams-King
Linh Le
Kosi Asuzu
Carsten Maple
102
0
0
24 Feb 2025
Activation Steering in Neural Theorem Provers
Activation Steering in Neural Theorem Provers
Shashank Kirtania
LLMSV
216
0
0
21 Feb 2025
KnowPath: Knowledge-enhanced Reasoning via LLM-generated Inference Paths over Knowledge Graphs
KnowPath: Knowledge-enhanced Reasoning via LLM-generated Inference Paths over Knowledge Graphs
Qi Zhao
Hongyu Yang
Qi Song
Xinwei Yao
Xiangyang Li
48
0
0
17 Feb 2025
Unmasking Conversational Bias in AI Multiagent Systems
Unmasking Conversational Bias in AI Multiagent Systems
Simone Mungari
Giuseppe Manco
Luca Maria Aiello
LLMAG
56
0
0
24 Jan 2025
STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions
STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions
Robert D Morabito
Sangmitra Madhusudan
Tyler McDonald
Ali Emami
31
0
0
20 Sep 2024
Evaluating LLMs for Gender Disparities in Notable Persons
Evaluating LLMs for Gender Disparities in Notable Persons
L. Rhue
Sofie Goethals
Arun Sundararajan
52
4
0
14 Mar 2024
From Classification to Clinical Insights: Towards Analyzing and
  Reasoning About Mobile and Behavioral Health Data With Large Language Models
From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models
Zachary Englhardt
Chengqian Ma
Margaret E. Morris
X. Xu
Chun-Cheng Chang
Lianhui Qin
Daniel J. McDuff
Xin Liu
Shwetak N. Patel
Vikram Iyer
AI4MH
52
11
0
21 Nov 2023
The Woman Worked as a Babysitter: On Biases in Language Generation
The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng
Kai-Wei Chang
Premkumar Natarajan
Nanyun Peng
223
620
0
03 Sep 2019
1