6 citations · 6 across the 6 of their papers we have counts for
6 papers
Generative Neural Video Compression via Video Diffusion Prior
Qi Mao, Hao Cheng, Tinghan Yang +2
We present GNVC-VD, the first DiT-based generative neural video compression framework built upon an advanced video generation foundation model, where spatio-temporal latent compres…
Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving
Xiangru Tang, Tianrui Qin, Tianhao Peng +15
AI agent frameworks operate in isolation, forcing agents to rediscover solutions and repeat mistakes across different systems. Despite valuable problem-solving experiences accumula…
CorrectionLM: Self-Corrections with SLM for Dialogue State Tracking
Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf
Large language models (LLMs) have demonstrated self-improvement capabilities via feedback and refinement, but current small language models (SLMs) have had limited success in this…
Efficient Encoder-Decoder Transformer Decoding for Decomposable Tasks
Bo-Ru Lu, Nikita Haduong, Chien-Yu Lin +3
Transformer-based NLP models are powerful but have high computational costs that limit deployment. Finetuned encoder-decoder models are popular in specialized domains and can outpe…
Feature Pyramid biLSTM: Using Smartphone Sensors for Transportation Mode Detection
Qinrui Tang, Hao Cheng
The widespread utilization of smartphones has provided extensive availability to Inertial Measurement Units, providing a wide range of sensory data that can be advantageous for the…
AceGPT, Localizing Large Language Models in Arabic
Huang Huang, Fei Yu, Jianqing Zhu +17
This paper is devoted to the development of a localized Large Language Model (LLM) specifically for Arabic, a language imbued with unique cultural characteristics inadequately addr…