ACL 2023

2,767 papers

Mind the Gap between the Application Track and the Real World

Ananya Ganesh, Jie Cao, E. Margaret Perkoff, Rosy Southwell, Martha Palmer

Revisiting Automated Prompting: Are We Actually Doing Better?

Yulin Zhou, Yiren Zhao, Ilia Shumailov, Robert Mullins, Yarin Gal

ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning

Jingyuan S. She, Christopher Potts, Samuel R. Bowman, Atticus Geiger

A Simple Concatenation can Effectively Improve Speech Translation

Linlin Zhang, Kai Fan, Boxing Chen, Luo Si

A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification

Rohan Bhambhoria, Lei Chen, Xiaodan Zhu

Teaching Small Language Models to Reason

Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adamek, Eric Malmi, Aliaksei Severyn

STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions

Michel Plüss, Jan Deriu, Yanick Schraner, Claudio Paonessa, Julia Hartmann

AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models

Siheng Li, Cheng Yang, Yichun Yin, Xinyu Zhu, Zesen Cheng

Towards Fewer Hallucinations in Knowledge-Grounded Dialogue Generation via Augmentative and Contrastive Knowledge-Dialogue

Bin Sun, Yitong Li, Fei Mi, Fanhu Bie, Yiwei Li

S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering

Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang

NarrowBERT: Accelerating Masked Language Model Pretraining and Inference

Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith

Diversity-Aware Coherence Loss for Improving Neural Topic Models

Raymond Li, Felipe Gonzalez-Pizarro, Linzi Xing, Gabriel Murray, Giuseppe Carenini

Are Sample-Efficient NLP Models More Robust?

Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia

Event Extraction as Question Generation and Answering

Di Lu, Shihao Ran, Joel Tetreault, Alejandro Jaimes

Evaluating Zero-Shot Event Structures: Recommendations for Automatic Content Extraction (ACE) Annotations

Erica Cai, Brendan O’Connor

When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants

Anuj Diwan, Eunsol Choi, David Harwath

The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation

Edwin Agnew, Michelle Qiu, Lily Zhu, Sam Wiseman, Cynthia Rudin

A Study on the Efficiency and Generalization of Light Hybrid Retrievers

Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz

MolXPT: Wrapping Molecules with Text for Generative Pre-training

Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie

AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR Parsing

Abelardo Carlos Martínez Lorenzo, Pere Lluís Huguet Cabot, Roberto Navigli

Theory-Grounded Computational Text Analysis

Arya D. McCarthy, Giovanna Maria Dora Dore

XL-LEXEME: WiC Pretrained Model for Cross-Lingual LEXical sEMantic changE

Pierluigi Cassotti, Lucia Siciliani, Marco DeGemmis, Giovanni Semeraro, Pierpaolo Basile

How Well Apply Simple MLP to Incomplete Utterance Rewriting?

Jiang Li, Xiangdong Su, Xinlan Ma, Guanglai Gao

LI-RAGE: Late Interaction Retrieval Augmented Generation with Explicit Signals for Open-Domain Table Question Answering

Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert, Gonzalo Iglesias

MOSPC: MOS Prediction Based on Pairwise Comparison

Kexin Wang, Yunlong Zhao, Qianqian Dong, Tom Ko, Mingxuan Wang

mPMR: A Multilingual Pre-trained Machine Reader at Scale

Weiwen Xu, Xin Li, Wai Lam, Lidong Bing

MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting

Tatsuro Inaba, Hirokazu Kiyomaru, Fei Cheng, Sadao Kurohashi

Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning

Mustafa Ozdayi, Charith Peris, Jack Fitzgerald, Christophe Dupuy, Jimit Majmudar

Discourse-Level Representations can Improve Prediction of Degree of Anxiety

Swanie Juhng, Matthew Matero, Vasudha Varadarajan, Johannes Eichstaedt, Adithya V Ganesan

Zero-Shot and Few-Shot Stance Detection on Varied Topics via Conditional Generation

Haoyang Wen, Alexander Hauptmann

RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation

Gabriele Sarti, Phu Mon Htut, Xing Niu, Benjamin Hsu, Anna Currey

Understanding Demonstration-based Learning from a Causal Perspective

Ruiyi Zhang, Tong Yu

Hexatagging: Projective Dependency Parsing as Tagging

Afra Amini, Tianyu Liu, Ryan Cotterell

An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition

Hang Yan, Yu Sun, Xiaonan Li, Xipeng Qiu

Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations

Baikjin Jung, Myungji Lee, Jong-Hyeok Lee, Yunsu Kim

Listener Model for the PhotoBook Referential Game with CLIPScores as Implicit Reference Chain

Shih-Lun Wu, Yi-Hui Chou, Liangze Li

Prefix Propagation: Parameter-Efficient Tuning for Long Sequences

Jonathan Li, Will Aitken, Rohan Bhambhoria, Xiaodan Zhu

Summarizing, Simplifying, and Synthesizing Medical Evidence using GPT-3 (with Varying Success)

Chantal Shaib, Millicent Li, Sebastian Joseph, Iain Marshall, Junyi Jessy Li

The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks

Nikil Selvam, Sunipa Dev, Daniel Khashabi, Tushar Khot, Kai-Wei Chang

Text-to-SQL Error Correction with Language Models of Code

Ziru Chen, Shijie Chen, Michael White, Raymond Mooney, Ali Payani

Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data

Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu

Modality Adaption or Regularization? A Case Study on End-to-End Speech Translation

Yuchen Han, Chen Xu, Tong Xiao, Jingbo Zhu

Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models

James O’Neill, Sourav Dutta

Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning

Po-Nien Kung, Nanyun Peng

Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation

Zhuoyuan Mao, Raj Dabre, Qianying Liu, Haiyue Song, Chenhui Chu

The Art of Prompting: Event Detection based on Type Specific Prompts

Sijia Wang, Mo Yu, Lifu Huang

Evaluating pragmatic abilities of image captioners on A3DS

Polina Tsvilodub, Michael Franke

Class-Incremental Learning based on Label Generation

Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu

Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting

Zahra Fatemi, Chen Xing, Wenhao Liu, Caimming Xiong

Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning

Zhen-Ru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang

Learning Multi-Step Reasoning by Solving Arithmetic Tasks

Tianduo Wang, Wei Lu

Leveraging Prefix Transfer for Multi-Intent Text Revision

Ruining Chong, Cunliang Kong, Liu Wu, Zhenghao Liu, Ziye Jin

Class based Influence Functions for Error Detection

Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran, Dang Huu-Tien, Hieu Nguyen

Is Anisotropy Truly Harmful? A Case Study on Text Clustering

Mira Ait-Saada, Mohamed NADIF

Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings

Ta-Chung Chi, Ting-Han Fan, Li-Wei Chen, Alexander Rudnicky, Peter Ramadge

Reasoning Implicit Sentiment with Chain-of-Thought Prompting

Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li

UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation

Zhiming Mao, Huimin Wang, Yiming Du, Kam-Fai Wong

Deriving Language Models from Masked Language Models

Lucas Torroba Hennigen, Yoon Kim

Debiasing Generative Named Entity Recognition by Calibrating Sequence Likelihood

Yu Xia, Yongwei Zhao, Wenhao Wu, Sujian Li

ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models

Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen

Focused Prefix Tuning for Controllable Text Generation

Congda Ma, Tianyu Zhao, Makoto Shing, Kei Sawada, Manabu Okumura

Typo-Robust Representation Learning for Dense Retrieval

Panuthep Tasawong, Wuttikorn Ponwitayarat, Peerat Limkonchotiwat, Can Udomcharoenchaikit, Ekapol Chuangsuwanich

The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics

Ricardo Rei, Nuno M. Guerreiro, Marcos Treviso, Luísa Coheur, Alon Lavie

Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation

Sirui Wang, Kaiwen Wei, Hongzhi Zhang, Yuntao Li, Wei Wu

Black-box language model explanation by context length probing

Ondřej Cífka, Antoine Liutkus

Environmental Claim Detection

Dominik Stammbach, Nicolas Webersinke, Julia Bingler, Mathias Kraus, Markus Leippold

Do GPTs Produce Less Literal Translations?

Vikas Raunak, Arul Menezes, Matt Post, Hany Hassan

Decomposed scoring of CCG dependencies

Aditya Bhargava, Gerald Penn

The Ecological Fallacy in Annotation: Modeling Human Label Variation goes beyond Sociodemographics

Matthias Orlikowski, Paul Röttger, Philipp Cimiano, Dirk Hovy

An (unhelpful) guide to selecting the best ASR architecture for your under-resourced language

Robert Jimerson, Zoey Liu, Emily Prud’hommeaux

Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement

Samuel Mensah, Kai Sun, Nikolaos Aletras

NollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment Classification

Iyanuoluwa Shode, David Ifeoluwa Adelani, Jing Peng, Anna Feldman

Contrastive Bootstrapping for Label Refinement

Shudi Hou, Yu Xia, Muhao Chen, Sujian Li

Enhancing Event Causality Identification with Counterfactual Reasoning

Feiteng Mu, Wenjie Li

Controllable Mixed-Initiative Dialogue Generation through Prompting

Maximillian Chen, Xiao Yu, Weiyan Shi, Urvi Awasthi, Zhou Yu

ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?

Michael Heck, Nurul Lubis, Benjamin Ruppik, Renato Vukovic, Shutong Feng

A Better Way to Do Masked Language Model Scoring

Carina Kauf, Anna A. Ivanova

With a Little Push, NLI Models can Robustly and Efficiently Predict Faithfulness

Julius Steen, Juri Opitz, Anette Frank, Katja Markert

Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality

Tanay Dixit, Fei Wang, Muhao Chen

Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?

Chenming Tang, Xiuyu Wu, Yunfang Wu

Evaluating Paraphrastic Robustness in Textual Entailment Models

Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, Adam Poliak

An Open Dataset and Model for Language Identification

Laurie Burchell, Alexandra Birch, Nikolay Bogoychev, Kenneth Heafield

Gradient Ascent Post-training Enhances Language Model Generalization

Dongkeun Yoon, Joel Jang, Sungdong Kim, Minjoon Seo

Token-Level Self-Evolution Training for Sequence-to-Sequence Learning

Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong

Using contradictions improves question answering systems

Etienne Fortier-Dubois, Domenic Rosati

Bhasa-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages

Yash Madhani, Mitesh M. Khapra, Anoop Kunchukuttan

Counterfactual reasoning: Testing language models’ understanding of hypothetical scenarios

Jiaxuan Li, Lang Yu, Allyson Ettinger

Deep Active Learning for Morphophonological Processing

Seyed Morteza Mirbostani, Yasaman Boreshban, Salam Khalifa, SeyedAbolghasem Mirroshandel, Owen Rambow

Exploring Continual Learning for Code Generation Models

Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang

Unsupervised Subtitle Segmentation with Masked Language Models

David Ponce, Thierry Etchegoyhen, Victor Ruiz

Target-Based Offensive Language Identification

Marcos Zampieri, Skye Morgan, Kai North, Tharindu Ranasinghe, Austin Simmmons

Modular Visual Question Answering via Code Generation

Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani

Improving Automatic Quotation Attribution in Literary Novels

Krishnapriya Vishnubhotla, Frank Rudzicz, Graeme Hirst, Adam Hammond

Joint End-to-end Semantic Proto-role Labeling

Elizabeth Spaulding, Gary Kazantsev, Mark Dredze

The Role of Global and Local Context in Named Entity Recognition

Arthur Amalvy, Vincent Labatut, Richard Dufour

Detecting Contradictory COVID-19 Drug Efficacy Claims from Biomedical Literature

Daniel Sosa, Malavika Suresh, Christopher Potts, Russ Altman

Considerations for meaningful sign language machine translation based on glosses

Mathias Müller, Zifan Jiang, Amit Moryossef, Annette Rios, Sarah Ebling

LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning

Amirhossein Abaskohi, Sascha Rothe, Yadollah Yaghoobzadeh

In and Out-of-Domain Text Adversarial Robustness via Label Smoothing

Yahan Yang, Soham Dan, Dan Roth, Insup Lee

Learning Neuro-Symbolic World Models with Conversational Proprioception

Don Joven Agravante, Daiki Kimura, Michiaki Tatsubori, Asim Munawar, Alexander Gray