14 citations · 38 across the 11 of their papers we have counts for
11 papers
Allocation Before Ranking: Decoupled Token Compression for OmniLLMs
Zhenghui Guo, Yilin Yang, Yuanbin Man +5
Token compression in OmniLLMs is typically posed as a single saliency-ranking problem: score each multimodal token, keep the top-K. We argue this abstraction is mis-specified. The…
HII-DPO: Eliminate Hallucination via Accurate Hallucination-Inducing Counterfactual Images
Yilin Yang, Zhenghui Guo, Yuke Wang +3
Large Vision-Language Models (VLMs) have achieved remarkable success across diverse multimodal tasks but remain vulnerable to hallucinations rooted in inherent language bias. Despi…
Prototype-Driven Multi-Feature Generation for Visible-Infrared Person Re-identification
Jiarui Li, Zhen Qiu, Yilin Yang +3
The primary challenges in visible-infrared person re-identification arise from the differences between visible (vis) and infrared (ir) images, including inter-modal and intra-modal…
Language-Informed Beam Search Decoding for Multilingual Machine Translation
Yilin Yang, Stefan Lee, Prasad Tadepalli
Beam search decoding is the de-facto method for decoding auto-regressive Neural Machine Translation (NMT) models, including multilingual NMT where the target language is specified…
SeamlessM4T: Massively Multilingual & Multimodal Machine Translation
Seamless Communication, Loïc Barrault, Yu-An Chung +65
What does it take to create the Babel Fish, a tool that can help individuals translate speech between any two languages? While recent breakthroughs in text-based models have pushed…
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation
Yilin Yang, Kamil Adamczewski, Danica J. Sutherland +2
Maximum mean discrepancy (MMD) is a particularly useful distance metric for differentially private data generation: when used with finite-dimensional features it allows us to summa…