2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2024
ANGO: A Next-Level Evaluation Benchmark For Generation-Oriented Language Models In Chinese Domain
Bingchao Wang
Recently, various Large Language Models (LLMs) evaluation datasets have emerged, but most of them have issues with distorted rankings and difficulty in model capabilities analysis.…
cs.CL2022★ 1 cited
An Understanding-Oriented Robust Machine Reading Comprehension Model
Feiliang Ren, Yongkang Liu, Bochao Li +5
Although existing machine reading comprehension models are making rapid progress on many datasets, they are far from robust. In this paper, we propose an understanding-oriented mac…
cs.CL2022★ 2 cited
Deep Understanding based Multi-Document Machine Reading Comprehension
Feiliang Ren, Yongkang Liu, Bochao Li +7
Most existing multi-document machine reading comprehension models mainly focus on understanding the interactions between the input question and documents, but ignore following two…