2 citations · 3 across the 7 of their papers we have counts for
7 papers
A Unified and Controllable Framework for Layered Image Generation with Visual Effects
Jinrui Yang, Qing Liu, Yijun Li +5
Recent image generation models produce impressive composites, but often fail to preserve the identity of user-provided content when editing specific elements: the surrounding scene…
Benchmarking Gender and Political Bias in Large Language Models
Jinrui Yang, Xudong Han, Timothy Baldwin
We introduce EuroParlVote, a novel benchmark for evaluating large language models (LLMs) in politically sensitive contexts. It links European Parliament debate speeches to roll-cal…
Language Bias in Information Retrieval: The Nature of the Beast and Mitigation Methods
Jinrui Yang, Fan Jiang, Timothy Baldwin
Language fairness in multilingual information retrieval (MLIR) systems is crucial for ensuring equitable access to information across diverse languages. This paper sheds light on t…
ParlAI Vote: A Web Platform for Analyzing Gender and Political Bias in Large Language Models
Wenjie Lin, Hange Liu, Yingying Zhuang +5
We present ParlAI Vote, an interactive web platform for exploring European Parliament debates and votes, and for testing LLMs on vote prediction and bias analysis. This web system…
Towards Artwork Explanation in Large-scale Vision Language Models
Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito +2
Large-scale Vision-Language Models (LVLMs) output text from images and instructions, demonstrating capabilities in text generation and comprehension. However, it has not been clari…
Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information Retrieval
Jinrui Yang, Timothy Baldwin, Trevor Cohn
We present Multi-EuP, a new multilingual benchmark dataset, comprising 22K multi-lingual documents collected from the European Parliament, spanning 24 languages. This dataset is de…
Professional Presentation and Projected Power: A Case Study of Implicit Gender Information in English CVs
Jinrui Yang, Sheilla Njoto, Marc Cheong +2
Gender discrimination in hiring is a pertinent and persistent bias in society, and a common motivating example for exploring bias in NLP. However, the manifestation of gendered lan…