8 citations · 10 across the 10 of their papers we have counts for
10 papers
Train Short, Inference Long: Training-free Horizon Extension for Autoregressive Video Generation
Jia Li, Xiaomeng Fu, Xurui Peng +7
Autoregressive video diffusion models have emerged as a scalable paradigm for long video generation. However, they often suffer from severe extrapolation failure, where rapid error…
TAP: A Token-Adaptive Predictor Framework for Training-Free Diffusion Acceleration
Haowei Zhu, Tingxuan Huang, Xing Wang +7
Diffusion models achieve strong generative performance but remain slow at inference due to the need for repeated full-model denoising passes. We present Token-Adaptive Predictor (T…
Fast-weight Product Key Memory
Tianyu Zhao, Llion Jones
Sequence modeling layers in modern language models typically face a trade-off between storage capacity and computational efficiency. While softmax attention offers unbounded storag…
RL-VLA: A Flexible and Asynchronous Reinforcement Learning Framework for VLA Training
Haoran Sun, Yongjian Guo, Zhong Guan +13
Reinforcement learning (RL) has emerged as a critical paradigm for post-training Vision-Language-Action (VLA) models, enabling embodied agents to adapt and improve through environm…
Task-Specific Sparse Feature Masks for Molecular Toxicity Prediction with Chemical Language Models
Kwun Sy Lee, Jiawei Chen, Fuk Sheng Ford Chung +3
Reliable in silico molecular toxicity prediction is a cornerstone of modern drug discovery, offering a scalable alternative to experimental screening. However, the black-box nature…
RePo: Language Models with Context Re-Positioning
Huayang Li, Tianyu Zhao, Deng Cai +1
In-context learning is fundamental to modern Large Language Models (LLMs); however, prevailing architectures impose a rigid and fixed contextual structure by assigning linear or co…
Reinforcement Learning with Rubric Anchors
Zenan Huang, Yihong Zhuang, Guoshan Lu +18
Reinforcement Learning from Verifiable Rewards (RLVR) has emerged as a powerful paradigm for enhancing Large Language Models (LLMs), exemplified by the success of OpenAI's o-series…
TransEvalnia: Reasoning-based Evaluation and Ranking of Translations
Richard Sproat, Tianyu Zhao, Llion Jones
We present TransEvalnia, a prompting-based translation evaluation and ranking system that uses reasoning in performing its evaluations and ranking. This system presents fine-graine…
Enhancing Travel Choice Modeling with Large Language Models: A Prompt-Learning Approach
Xuehao Zhai, Hanlin Tian, Lintong Li +1
Travel choice analysis is crucial for understanding individual travel behavior to develop appropriate transport policies and recommendation systems in Intelligent Transportation Sy…
VmambaIR: Visual State Space Model for Image Restoration
Yuan Shi, Bin Xia, Xiaoyu Jin +5
Image restoration is a critical task in low-level computer vision, aiming to restore high-quality images from degraded inputs. Various models, such as convolutional neural networks…