5 citations · 8 across the 14 of their papers we have counts for
6 papers · 1 filter
No Preference Left Behind: Group Distributional Preference Optimization
Binwei Yao, Zefan Cai, Yun-Shiuan Chuang +4
Preferences within a group of people are not uniform but follow a distribution. While existing alignment methods like Direct Preference Optimization (DPO) attempt to steer models t…
Class-RAG: Real-Time Content Moderation with Retrieval Augmented Generation
Jianfa Chen, Emily Shen, Trupti Bavalatti +10
Robust content moderation classifiers are essential for the safety of Generative AI systems. In this task, differences between safe and unsafe inputs are often extremely subtle, ma…
Large Language Models Are Active Critics in NLG Evaluation
Shuying Xu, Junjie Hu, Ming Jiang
The conventional paradigm of using large language models (LLMs) for natural language generation (NLG) evaluation relies on pre-defined task definitions and evaluation criteria, pos…
How Well Do LLMs Identify Cultural Unity in Diversity?
Jialin Li, Junli Wang, Junjie Hu +1
Much work on the cultural awareness of large language models (LLMs) focuses on the models' sensitivity to geo-cultural diversity. However, in addition to cross-cultural differences…
Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation
Zihan Wang, Xiangyang Li, Jiahao Yang +4
Vision-and-language navigation (VLN) enables the agent to navigate to a remote location following the natural language instruction in 3D environments. At each navigation step, the…
Prompting Large Vision-Language Models for Compositional Reasoning
Timothy Ossowski, Ming Jiang, Junjie Hu
Vision-language models such as CLIP have shown impressive capabilities in encoding texts and images into aligned embeddings, enabling the retrieval of multimodal data in a shared e…