9 citations · 22 across the 9 of their papers we have counts for
10 papers
Attention-Graph Curvature for the Verification of Mathematical Reasoning
Kanghyeon Kim, Johannes F. Lutzeyer, Yanzhu Guo
Language models have recently solved open Erdős problems and achieved gold-medal level performance on International Mathematical Olympiad problems. But their solutions, written in…
Benchmarking Linguistic Diversity of Large Language Models
Yanzhu Guo, Guokan Shang, Chloé Clavel
The development and evaluation of Large Language Models (LLMs) has primarily focused on their task-solving capabilities, with recent models even surpassing human performance in som…
Do Large Language Models Have an English Accent? Evaluating and Improving the Naturalness of Multilingual LLMs
Yanzhu Guo, Simone Conia, Zelin Zhou +3
Current Large Language Models (LLMs) are predominantly designed with English as the primary language, and even the few that are multilingual tend to exhibit strong English-centric…
Automatic Analysis of Substantiation in Scientific Peer Reviews
Yanzhu Guo, Guokan Shang, Virgile Rennard +2
With the increasing amount of problematic peer reviews in top AI conferences, the community is urgently in need of automatic quality control measures. In this paper, we restrict ou…
The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text
Yanzhu Guo, Guokan Shang, Michalis Vazirgiannis +1
This study investigates the consequences of training language models on synthetic data generated by their predecessors, an increasingly prevalent practice given the prominence of p…
Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency
Yanzhu Guo, Chloé Clavel, Moussa Kamal Eddine +1
The topic of summarization evaluation has recently attracted a surge of attention due to the rapid development of abstractive summarization systems. However, the formulation of the…
Political Communities on Twitter: Case Study of the 2022 French Presidential Election
Hadi Abdine, Yanzhu Guo, Virgile Rennard +1
With the significant increase in users on social media platforms, a new means of political campaigning has appeared. Twitter and Facebook are now notable campaigning tools during e…
A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank
Moonjung Eo, Suhyun Kang, Wonjong Rhee
Compression has emerged as one of the essential deep learning research topics, especially for the edge devices that have limited computation power and storage capacity. Among the m…
BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets
Yanzhu Guo, Virgile Rennard, Christos Xypolopoulos +1
We introduce BERTweetFR, the first large-scale pre-trained language model for French tweets. Our model is initialized using the general-domain French language model CamemBERT which…
How COVID-19 Is Changing Our Language : Detecting Semantic Shift in Twitter Word Embeddings
Yanzhu Guo, Christos Xypolopoulos, Michalis Vazirgiannis
Words are malleable objects, influenced by events that are reflected in written texts. Situated in the global outbreak of COVID-19, our research aims at detecting semantic shifts i…