2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
Dynamic Depth Decoding: Faster Speculative Decoding for LLMs
Oscar Brown, Zhengjie Wang, Andrea Do +2
The acceleration of Large Language Models (LLMs) with speculative decoding provides a significant runtime improvement without any loss of accuracy. Currently, EAGLE-2 is the state-…
cs.IR2023★ 1 cited
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels
Yu Cheng, Yunzhu Pan, Jiaqi Zhang +3
Recommender systems (RS) have achieved significant success by leveraging explicit identification (ID) features. However, the full potential of content features, especially the pure…
cs.CV2023★ 2 cited
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding
Daizong Liu, Xiaoye Qu, Jianfeng Dong +6
This paper addresses the temporal sentence grounding (TSG). Although existing methods have made decent achievements in this task, they not only severely rely on abundant video-quer…