most citedAligning Translation-Specific Understanding to General Understanding in Large Language Models

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2025

IOCC: Aligning Semantic and Cluster Centers for Few-shot Short Text Clustering

Zhihao Yao

In clustering tasks, it is essential to structure the feature space into clear, well-separated distributions. However, because short text representations have limited expressivenes…

cs.CL2025

Enhancing Non-English Capabilities of English-Centric Large Language Models through Deep Supervision Fine-Tuning

Wenshuai Huo, Xiaocheng Feng, Yichong Huang +9

Large language models (LLMs) have demonstrated significant progress in multilingual language understanding and generation. However, due to the imbalance in training data, their cap…

cs.CL2024

Ensuring Consistency for In-Image Translation

Chengpeng Fu, Xiaocheng Feng, Yichong Huang +9

The in-image machine translation task involves translating text embedded within images, with the translated results presented in image format. While this task has numerous applicat…

cs.CL2024

Relay Decoding: Concatenating Large Language Models for Machine Translation

Chengpeng Fu, Xiaocheng Feng, Yichong Huang +5

Leveraging large language models for machine translation has demonstrated promising results. However, it does require the large language models to possess the capability of handlin…

cs.CL2024★ 1 cited

Aligning Translation-Specific Understanding to General Understanding in Large Language Models

Yichong Huang, Baohang Li, Xiaocheng Feng +4

Large Language models (LLMs) have exhibited remarkable abilities in understanding complex texts, offering a promising path towards human-like translation performance. However, this…