ACL

Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models

Fengzhu Zeng, Wei Gao

Comments Accepted as ACL 2023 Findings

SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives

Fedor Moiseev, Gustavo Hernandez Abrego, Peter Dornbach, Imed Zitouni, Enrique Alfonseca, Zhe Dong

Comments ACL 2023 Findings

RadLing: Towards Efficient Radiology Report Understanding

Rikhiya Ghosh, Sanjeev Kumar Karn, Manuela Daniela Danu, Larisa Micu, Ramya Vunikili, Oladimeji Farri

Comments Association for Computational Linguistics (ACL), 2023

Journal ref 61st Annual Meeting of the Association for Computational Linguistics (ACL), July 9-14, 2023, Toronto, Canada

Modeling Cross-Cultural Pragmatic Inference with Codenames Duet

Omar Shaikh, Caleb Ziems, William Held, Aryan J. Pariani, Fred Morstatter, Diyi Yang

Comments ACL 2023 Findings

Adaptive and Personalized Exercise Generation for Online Language Learning

Peng Cui, Mrinmaya Sachan

Comments To appear at ACL 2023

Commonsense Knowledge Transfer for Pre-trained Language Models

Wangchunshu Zhou, Ronan Le Bras, Yejin Choi

Comments ACL 2023 Findings

Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference

Wangchunshu Zhou, Ronan Le Bras, Yejin Choi

Comments ACL 2023 Findings

Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings

Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz

Comments Proceedings of ACL 2023

Does Character-level Information Always Improve DRS-based Semantic Parsing?

Tomoya Kurosawa, Hitomi Yanaka

Comments 10 pages. To appear in the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023) with ACL2023

Exploring and Verbalizing Academic Ideas by Concept Co-occurrence

Yi Xu, Shuqian Sheng, Bo Xue, Luoyi Fu, Xinbing Wang, Chenghu Zhou

Comments Accepted by ACL 2023

Probing Physical Reasoning with Counter-Commonsense Context

Kazushi Kondo, Saku Sugawara, Akiko Aizawa

Comments Accepted to ACL 2023(Short Paper)

Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model

Lingfeng Shen, Haiyun Jiang, Lemao Liu, Shuming Shi

Comments Accepted to ACL2023 workshop Rep4NLP

Shrinking Embeddings for Hyper-Relational Knowledge Graphs

Bo Xiong, Mojtaba Nayyer, Shirui Pan, Steffen Staab

Comments To appear in ACL 2023

Stubborn Lexical Bias in Data and Models

Sofia Serrano, Jesse Dodge, Noah A. Smith

Comments ACL Findings 2023

Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning

Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Chunyan Miao

Comments Accepted by ACL2023

Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing

Hao Yan, Saurabh Srivastava, Yintao Tai, Sida I. Wang, Wen-tau Yih, Ziyu Yao

Comments Accepted to ACL 2023. 18 pages, 6 figures

Boosting Radiology Report Generation by Infusing Comparison Prior

Sanghwan Kim, Farhad Nooralahzadeh, Morteza Rohanian, Koji Fujimoto, Mizuho Nishio, Ryo Sakamoto, Fabio Rinaldi, Michael Krauthammer

Comments Accepted at ACL 2023, BioNLP Workshop

Target-Side Augmentation for Document-Level Machine Translation

Guangsheng Bao, Zhiyang Teng, Yue Zhang

Comments Accepted by ACL2023 main conference

Multi-hop Evidence Retrieval for Cross-document Relation Extraction

Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen

Comments ACL 2023 (Findings)

Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval

John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick

Comments Published as a long paper at ACL 2023

BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics

Liang Ma, Shuyang Cao, Robert L. Logan, Di Lu, Shihao Ran, Ke Zhang, Joel Tetreault, Alejandro Jaimes

Comments Accepted as a long main conference paper at ACL 2023

APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning

Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren

Comments Accepted at ACL 2023, code available at https://github.com/INK-USC/APOLLO

On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning

Omar Shaikh, Hongxin Zhang, William Held, Michael Bernstein, Diyi Yang

Comments ACL 2023 Main Conference

A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks

Ruiqing Ding, Xiao Han, Leye Wang

Comments Accepted by ACL Findings 2023

Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning

Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic

Comments Accepted to ClinicalNLP-2023 WS@ACL-2023

An Ordinal Latent Variable Model of Conflict Intensity

Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell, Aaron Schein

Comments Long Paper at ACL 2023

Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks

Lukas Hauzenberger, Shahed Masoudian, Deepak Kumar, Markus Schedl, Navid Rekabsaz

Comments Accepted in Findings of ACL 2023

Painsight: An Extendable Opinion Mining Framework for Detecting Pain Points Based on Online Customer Reviews

Yukyung Lee, Jaehee Kim, Doyoon Kim, Yookyung Kho, Younsun Kim, Pilsung Kang

Comments WASSA at ACL 2023

NLPositionality: Characterizing Design Biases of Datasets and Models

Sebastin Santy, Jenny T. Liang, Ronan Le Bras, Katharina Reinecke, Maarten Sap

Comments ACL 2023

Binary and Ternary Natural Language Generation

Zechun Liu, Barlas Oguz, Aasish Pappu, Yangyang Shi, Raghuraman Krishnamoorthi

Comments ACL 2023 Oral