5 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.CL2025
OKBench: Democratizing LLM Evaluation with Fully Automated, On-Demand, Open Knowledge Benchmarking
Yanhong Li, Tianyang Xu, Kenan Tang +3
Knowledge-intensive question answering is central to large language models (LLMs) and is typically assessed using static benchmarks derived from sources like Wikipedia and textbook…
cs.CL2022★ 2 cited
Gender Biases Unexpectedly Fluctuate in the Pre-training Stage of Masked Language Models
Kenan Tang, Hanchun Jiang
Masked language models pick up gender biases during pre-training. Such biases are usually attributed to a certain model architecture and its pre-training corpora, with the implicit…
cs.CL2022★ 5 cited
PETCI: A Parallel English Translation Dataset of Chinese Idioms
Kenan Tang
Idioms are an important language phenomenon in Chinese, but idiom translation is notoriously hard. Current machine translation models perform poorly on idiom translation, while idi…