Nattapol Chanpaisit — accepted AI-conference papers

2024

Evaluating Code-Switching Translation with Large Language Models

Muhammad Huzaifah, Weihua Zheng, Nattapol Chanpaisit, Kui Wu

COLING 2024main

Recent advances in large language models (LLMs) have shown they can match or surpass finetuned models on many natural language processing tasks. Currently, more studies are being carried out to assess whether this performance carries over across different languages. In this paper, we present a thoro…

Cited by 9 Source ↗PDF ↗Scholar ↗

2024

VBench: Comprehensive Benchmark Suite for Video Generative Models

Ziqi Huang, Yinan He, Jiashuo Yu, Fan Zhang, Chenyang Si, Yuming Jiang +10

CVPR 2024highlight

Video generation has witnessed significant advancements yet evaluating these models remains a challenge. A comprehensive evaluation benchmark for video generation is indispensable for two reasons: 1) Existing metrics do not fully align with human perceptions; 2) An ideal evaluation system should pro…

Cited by 348 Source ↗PDF ↗code ↗Scholar ↗