Papers
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents
Catherine Chen, Zejiang Shen, Dan Klein et al.
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales
Brihi Joshi, Ziyi Liu, Sahana Ramnath et al.
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?
Juanhui Li, Harry Shomer, Jiayuan Ding et al.
Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?
Chenming Tang, Xiuyu Wu, Yunfang Wu
Are Sample-Efficient NLP Models More Robust?
Nelson F. Liu, Ananya Kumar, Percy Liang et al.
Are Synonym Substitution Attacks Really Synonym Substitution Attacks?
Cheng-Han Chiang, Hung-yi Lee
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark
Wenjun Peng, Jingwei Yi, Fangzhao Wu et al.
ArgAnalysis35K : A large-scale dataset for Argument Quality Analysis
Omkar Joshi, Priya Pitre, Yashodhara Haribhakta
Arguably at SemEval-2023 Task 11: Learning the disagreements using unsupervised behavioral clustering and language models
Guneet Singh Kohli, Vinayak Tiwari
ArgU: A Controllable Factual Argument Generator
Sougata Saha, Rohini Srihari
Aristoxenus at SemEval-2023 Task 4: A Domain-Adapted Ensemble Approach to the Identification of Human Values behind Arguments
Dimitrios Zaikis, Stefanos D. Stefanidis, Konstantinos Anagnostopoulos et al.
Arithmetic-Based Pretraining Improving Numeracy of Pretrained Language Models
Dominic Petrak, Nafise Sadat Moosavi, Iryna Gurevych
Arizonans at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis with XLM-T
Nimet Beyza Bozdag, Tugay Bilgis, Steven Bethard
A Robust Information-Masking Approach for Domain Counterfactual Generation
Pengfei Hong, Rishabh Bhardwaj, Navonil Majumder et al.
Arthur Caplan at SemEval-2023 Task 4: Enhancing Human Value Detection through Fine-tuned Pre-trained Models
Xianxian Song, Jinhui Zhao, Ruiqi Cao et al.
A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing
Ye Ma, Mingming Sun, Ping Li
A Sequence-to-Sequence&Set Model for Text-to-Table Generation
Tong Li, Zhihao Wang, Liangying Shao et al.
A Set Prediction Network For Extractive Summarization
Xiaoxia Cheng, Yongliang Shen, Weiming Lu
A Side-by-side Comparison of Transformers for Implicit Discourse Relation Classification
Bruce W. Lee, Bongseok Yang, Jason Lee
A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification
Rohan Bhambhoria, Lei Chen, Xiaodan Zhu
A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires
Hoyun Song, Jisu Shin, Huije Lee et al.
A Simple Concatenation can Effectively Improve Speech Translation
Linlin Zhang, Kai Fan, Boxing Chen et al.
A Simple, Yet Effective Approach to Finding Biases in Code Generation
Spyridon Mouselinos, Mateusz Malinowski, Henryk Michalewski
A Simple Yet Strong Domain-Agnostic De-bias Method for Zero-Shot Sentiment Classification
Yang Zhao, Tetsuya Nasukawa, Masayasu Muraoka et al.