activity
20172023
most citedMasked Language Model Scoring

183 citations · 340 across the 16 of their papers we have counts for

collaborators

16 papers

cs.CL2023★ 43 cited

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants

Lucas Bandarkar, Davis Liang, Benjamin Muller +7

We present Belebele, a multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants. Significantly expanding the language coverage of natural language…

cs.CL2023★ 1 cited

A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models

Hayeon Lee, Rui Hou, Jongpil Kim +3

Distillation from Weak Teacher (DWT) is a method of transferring knowledge from a smaller, weaker teacher model to a larger student model to improve its performance. Previous studi…

cs.RO2023★ 2 cited

Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic

Xiangguo Liu, Ruochen Jiao, Bowen Zheng +2

Connectivity technology has shown great potentials in improving the safety and efficiency of transportation systems by providing information beyond the perception and prediction ca…

cs.CL2023★ 11 cited

XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models

Davis Liang, Hila Gonen, Yuning Mao +5

Large multilingual language models typically rely on a single vocabulary shared across 100+ languages. As these models have increased in parameter count and depth, vocabulary size…

cs.CL2022★ 1 cited

Query Rewriting for Effective Misinformation Discovery

Ashkan Kazemi, Artem Abzaliev, Naihao Deng +4

We propose a novel system to help fact-checkers formulate search queries for known misinformation claims and effectively search across multiple social media platforms. We introduce…

cs.RO2022

TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor

Ruochen Jiao, Xiangguo Liu, Bowen Zheng +2

Trajectory generation and prediction are two interwoven tasks that play important roles in planner evaluation and decision making for intelligent vehicles. Most existing methods fo…