most citedText-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

29 citations · 35 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

RealisMotion: Decomposed Human Motion Control and Video Generation in the World Space

Jingyun Liang, Jingkai Zhou, Shikai Li +5

Generating human videos with realistic and controllable motions is a challenging task. While existing methods can generate visually compelling videos, they lack separate control ov…

cs.GR2025

MoDA: Multi-modal Diffusion Architecture for Talking Head Generation

Xinyang Li, Gen Li, Zhihui Lin +6

Talking head generation with arbitrary identities and speech audio remains a crucial problem in the realm of the virtual metaverse. Recently, diffusion models have become a popular…

cs.CV2025

LumosFlow: Motion-Guided Long Video Generation

Jiahao Chen, Hangjie Yuan, Yichen Qian +6

Long video generation has gained increasing attention due to its widespread applications in fields such as entertainment and simulation. Despite advances, synthesizing temporally c…

cs.DB202329 cited

Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Dawei Gao, Haibin Wang, Yaliang Li +4

Large language models (LLMs) have emerged as a new paradigm for Text-to-SQL task. However, the absence of a systematical benchmark inhibits the development of designing effective,…

cs.CV20236 cited

Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition

Junyan Wang, Zhenhong Sun, Yichen Qian +5

3D convolution neural networks (CNNs) have been the prevailing option for video recognition. To capture the temporal information, 3D convolutions are computed along the sequences,…