3 citations · 7 across the 9 of their papers we have counts for
4 papers · 1 filter
Beyond Prediction: A Component-Level Study of Concept Recovery in In-Context Learning
Xufeng Liu, Fang Wan, Yi Liu
In-context learning (ICL) enables language models to make accurate predictions from demonstrations, but prediction success alone does not reveal the extent to which the underlying…
Sparse Attention Is Matrix Approximation, Not Choosing from a Bag of Values
Fang Wan, Xufeng Liu, Fan Li +1
Large Language Models (LLMs) achieve strong performance across many domains, but their efficiency is limited by the quadratic cost of attention with respect to prompt length. Spars…
ActionUNet: Improving Robustness of VLA Models with Efficient Multi-scale Fine-tuning
Di Zhu, Ziheng Yan, Fang Wan
Vision-Language-Action (VLA) models have shown great promise for robotic manipulation by mapping multi-modal semantics to physical actions. However, this mapping inherently struggl…
Vorch-Omni: Multi-Task Orchestration of Sight and Sound
Vorch Team, Xiaoyu Chen, Yang Ding +25
Recent advances in generative video modeling have enabled diverse generation, reference-based synthesis, extension, and editing, but existing approaches often rely on fragmented ta…