activity
20232026
most citedERNIE 5.0 Technical Report

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

User-Aware Active Knowledge Acquisition for Emotional Support Dialogue

Mufan Xu, Kehai Chen, Jiahao Hu +4

Emotional support plays an important role in dialogue systems, and its success depends on adapting to a user's evolving and implicit needs across multi-turn interactions while leve…

cs.CL2026★ 2 cited

ERNIE 5.0 Technical Report

Haifeng Wang, Hua Wu, Tian Wu +432

In this report, we introduce ERNIE 5.0, a natively autoregressive foundation model desinged for unified multimodal understanding and generation across text, image, video, and audio…

cs.CV2024

VIVID-10M: A Dataset and Baseline for Versatile and Interactive Video Local Editing

Jiahao Hu, Tianxiong Zhong, Xuebo Wang +5

Diffusion-based image editing models have made remarkable progress in recent years. However, achieving high-quality video editing remains a significant challenge. One major hurdle…

cs.AI2024

Enhancing Few-Shot Stock Trend Prediction with Large Language Models

Yiqi Deng, Xingwei He, Jiahao Hu +1

The goal of stock trend prediction is to forecast future market movements for informed investment decisions. Existing methods mostly focus on predicting stock trends with supervise…

cs.CV2024

DMAT: A Dynamic Mask-Aware Transformer for Human De-occlusion

Guoqiang Liang, Jiahao Hu, Qingyue Wang +1

Human de-occlusion, which aims to infer the appearance of invisible human parts from an occluded image, has great value in many human-related tasks, such as person re-id, and inten…

cs.CL2023★ 1 cited

FollowEval: A Multi-Dimensional Benchmark for Assessing the Instruction-Following Capability of Large Language Models

Yimin Jing, Renren Jin, Jiahao Hu +4

The effective assessment of the instruction-following ability of large language models (LLMs) is of paramount importance. A model that cannot adhere to human instructions might be…