3 papers
cs.SD2025
ZeroSep: Separate Anything in Audio with Zero Training
Chao Huang, Yuesheng Ma, Junxuan Huang +6
Audio source separation is fundamental for machines to understand complex acoustic environments and underpins numerous audio applications. Current supervised deep learning approach…
cs.CL2025
Test-Time Code-Switching for Cross-lingual Aspect Sentiment Triplet Extraction
Dongming Sheng, Kexin Han, Hao Li +4
Aspect Sentiment Triplet Extraction (ASTE) is a thriving research area with impressive outcomes being achieved on high-resource languages. However, the application of cross-lingual…
cs.CL2024
TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement
Zhaopeng Feng, Yan Zhang, Hao Li +7
Large Language Models (LLMs) have achieved impressive results in Machine Translation (MT). However, careful evaluations by human reveal that the translations produced by LLMs still…