activity
20232026
collaborators

7 papers

cs.CL2026

CRISP: Cultural Reward Modeling for Implicit Situated Propriety

Zekun Yuan, Yangfan Ye, Baohang Li +6

As large language models (LLMs) are increasingly deployed across countries and regions, the ability to recognize and respond appropriately to diverse cultural contexts becomes incr…

cs.CV2026

Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation

Niantong Li, Guangzheng Hu, Weixu Qiao +35

Text-to-Image generation has evolved from basic image synthesis into a frequently used core capability in professional creative workflows, where simple text-image alignment can no…

cs.CL2026

Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation

Zekun Yuan, Yangfan Ye, Xiaocheng Feng +5

Large language models (LLMs) have achieved strong performance in general machine translation, yet their ability in culture-aware scenarios remains poorly understood. To bridge this…

cs.CL2026

x1: Learning to Think Adaptively Across Languages and Cultures

Yangfan Ye, Xiaocheng Feng, Xiachong Feng +8

Languages encode distinct abstractions and inductive priors, yet most large language models (LLMs) overlook this diversity by reasoning in a single dominant language. In this work,…

cs.CL2025

LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning

Yangfan Ye, Xiaocheng Feng, Xiachong Feng +7

Joint multilingual instruction tuning is a widely adopted approach to improve the multilingual instruction-following ability and downstream performance of large language models (LL…

cs.CL2024

Exploring Cross-lingual Latent Transplantation: Mutual Opportunities and Open Challenges

Yangfan Ye, Xiaocheng Feng, Xiachong Feng +11

Current large language models (LLMs) often exhibit imbalances in multilingual capabilities and cultural adaptability, largely attributed to their English-centric pre-training data.…

cs.IR2023

GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing

Hangyu Wang, Ting Long, Liang Yin +6

Computerized Adaptive Testing(CAT) refers to an online system that adaptively selects the best-suited question for students with various abilities based on their historical respons…