From Descriptive Richness to Bias: Unveiling the Dark Side of Generative
Image Caption Enrichment

From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment

20 June 2024

Chao-Han Huck Yang

Yuta Nakashima

Papers citing "From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment"

4 / 4 papers shown

Title
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks Miran Heo Min-Hung Chen De-An Huang Sifei Liu Subhashree Radhakrishnan Seon Joo Kim Yu-Chun Wang Ryo Hachiuma ObjD VLM 108 2 0 14 Jan 2025
Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition Chao-Han Huck Yang Taejin Park Yuan Gong Yuanchao Li Zhehuai Chen ... E. Chng Peter Bell Catherine Lai Shinji Watanabe A. Stolcke AuLLM ELM 35 4 0 15 Sep 2024
EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension Jiaxuan Li D. Vo Akihiro Sugimoto Hideki Nakayama KELM VLM 37 23 0 27 Nov 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022