activity
20212025
most citedCross-Lingual Word Embedding Refinement by Norm Optimisation

8 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values

P Team, Siwei Wu, Jincheng Ren +29

Aligning large language models (LLMs) with human preferences has achieved remarkable success. However, existing Chinese preference datasets are limited by small scale, narrow domai…

cs.CL2025★ 1 cited

LongEval: A Comprehensive Analysis of Long-Text Generation Through a Plan-based Paradigm

Siwei Wu, Yizhi Li, Xingwei Qu +7

Large Language Models (LLMs) have achieved remarkable success in various natural language processing tasks, yet their ability to generate long-form content remains poorly understoo…

cs.CL2024

Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation

Bohao Yang, Kun Zhao, Dong Liu +3

Automatic open-domain dialogue evaluation has attracted increasing attention, yet remains challenging due to the complexity of assessing response appropriateness. Traditional evalu…

cs.CL2021

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation

Jiayuan Ding, Tong Xiang, Zijing Ou +5

Recent years have witnessed the dramatic growth of paper volumes with plenty of new research papers published every day, especially in the area of computer science. How to glean pa…

cs.CL2021★ 8 cited

Cross-Lingual Word Embedding Refinement by Norm Optimisation

Xutan Peng, Chenghua Lin, Mark Stevenson

Cross-Lingual Word Embeddings (CLWEs) encode words from two or more languages in a shared high-dimensional space in which vectors representing words with similar meaning (regardles…