1 citations · 1 across the 3 of their papers we have counts for
5 papers
Towards Unbiased On-Policy Distillation for Block Diffusion Language Models
Zaiquan Yang, Fei Wei, Yong Wang +6
On-policy distillation (OPD) has emerged as an effective post-training paradigm for language models, with recent efforts extending it to block diffusion language models (BDLMs). Ho…
Unified Energy for Invariant and Independent Decoding in Diffusion Language Models
Yuchen Yan, Minkai Xu, Zaiquan Yang +1
Diffusion Language Models (DLMs) enable parallel text generation by iteratively denoising a full sequence, offering attractive flexibility compared to auto-regressive (AR) decoding…
Visual Enhanced Depth Scaling for Multimodal Latent Reasoning
Yudong Han, Yong Wang, Zaiquan Yang +3
Multimodal latent reasoning has emerged as a promising paradigm that replaces explicit Chain-of-Thought (CoT) decoding with implicit feature propagation, simultaneously enhancing r…
Unleashing the Potential of Multimodal LLMs for Zero-Shot Spatio-Temporal Video Grounding
Zaiquan Yang, Yuhao Liu, Gerhard Hancke +1
Spatio-temporal video grounding (STVG) aims at localizing the spatio-temporal tube of a video, as specified by the input text query. In this paper, we utilize multimodal large lang…
Boosting Weakly-Supervised Referring Image Segmentation via Progressive Comprehension
Zaiquan Yang, Yuhao Liu, Jiaying Lin +2
This paper explores the weakly-supervised referring image segmentation (WRIS) problem, and focuses on a challenging setup where target localization is learned directly from image-t…