8 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.AI2026
When Specifications Conflict: A Symmetry-Based Framework for Measuring LLM Preferences
Tairan Wang, Liang Zhou, Zikang Zhan +1
Large language models (LLMs) are increasingly required to integrate multiple sources of information that may be inconsistent or conflicting. However, there is still a lack of contr…
cs.CL2024★ 1 cited
Benchmarking GPT-4 against Human Translators: A Comprehensive Evaluation Across Languages, Domains, and Expertise Levels
Jianhao Yan, Pingchuan Yan, Yulong Chen +3
This study presents a comprehensive evaluation of GPT-4's translation capabilities compared to human translators of varying expertise levels. Through systematic human evaluation us…
cs.CL2024★ 8 cited
GPT-4 vs. Human Translators: A Comprehensive Evaluation of Translation Quality Across Languages, Domains, and Expertise Levels
Jianhao Yan, Pingchuan Yan, Yulong Chen +3
This study comprehensively evaluates the translation quality of Large Language Models (LLMs), specifically GPT-4, against human translators of varying expertise levels across multi…