ACL

Financial Numeric Extreme Labelling: A Dataset and Benchmarking for XBRL Tagging

Soumya Sharma, Subhendu Khatuya, Manjunath Hegde, Afreen Shaikh. Koustuv Dasgupta, Pawan Goyal, Niloy Ganguly

Comments Accepted to ACL'23 Findings Paper

On the Difference of BERT-style and CLIP-style Text Encoders

Zhihong Chen, Guiming Hardy Chen, Shizhe Diao, Xiang Wan, Benyou Wang

Comments Natural Language Processing. 10 pages, 1 figure. Findings of ACL-2023

Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue

Maksim Eremeev, Ilya Valmianski, Xavier Amatriain, Anitha Kannan

Comments ACL 2023 (main conference)

Convergence and Diversity in the Control Hierarchy

Alexandra Butoi, Ryan Cotterell, David Chiang

Comments 18 pages, 7 figures. Accepted at ACL 2023

Language acquisition: do children and language models follow similar learning stages?

Linnea Evanson, Yair Lakretz, Jean-Rémi King

Comments Accepted to ACL 2023. *Equal Contribution

Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning

Peggy Tang, Junbin Gao, Lei Zhang, Zhiyong Wang

Comments The 4th Workshop on Simple and Efficient Natural Language Processing (SustaiNLP 2023), co-located with ACL 2023

Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search

Zhiyu Chen, Jason Choi, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi

Comments ACL 2023 Industry Track

Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning

Chujie Zheng, Pei Ke, Zheng Zhang, Minlie Huang

Comments Findings of ACL 2023

CoSiNES: Contrastive Siamese Network for Entity Standardization

Jiaqing Yuan, Michele Merler, Mihir Choudhury, Raju Pavuluri, Munindar P. Singh, Maja Vukovic

Comments Accepted by Matching Workshop at ACL2023

Few Shot Rationale Generation using Self-Training with Dual Teachers

Aditya Srikanth Veerubhotla, Lahari Poddar, Jun Yin, György Szarvas, Sharanya Eswaran

Comments ACL Findings 2023

shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation

Sanjeev Kumar Karn, Rikhiya Ghosh, Kusuma P, Oladimeji Farri

Comments 1st Place in Task 1B: Radiology Report Summarization at BioNLP 2023

Journal ref BioNLP 2023, Co-located with ACL 2023

A Static Evaluation of Code Completion by Large Language Models

Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang

Comments Accepted by ACL 2023 industry track

Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training

Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao

Comments ACL 2023 Findings (Short), 5 pages main + 1 page references + 1 page appendix

Do GPTs Produce Less Literal Translations?

Vikas Raunak, Arul Menezes, Matt Post, Hany Hassan Awadalla

Comments ACL 2023

LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models

Victor Dibia

Comments Accepted at ACL 2023 (Demonstration track). Fix formatting issues, update information on evaluation metrics, prompts and project website (https://microsoft.github.io/lida/)

How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech

Aditya Yedetore, Tal Linzen, Robert Frank, R. Thomas McCoy

Comments 10 pages plus references and appendices; accepted to ACL

NarrowBERT: Accelerating Masked Language Model Pretraining and Inference

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

Comments To appear in ACL 2023 (main conference)

DISCO: Distilling Counterfactuals with Large Language Models

Zeming Chen, Qiyue Gao, Antoine Bosselut, Ashish Sabharwal, Kyle Richardson

Comments ACL 2023 camera ready, final title change

Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation

Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev

Comments ACL 2023 Camera Ready

A Universal Discriminator for Zero-Shot Generalization

Haike Xu, Zongyu Lin, Jing Zhou, Yanan Zheng, Zhilin Yang

Comments ACL 2023 main conference (Long paper)

Analyzing Syntactic Generalization Capacity of Pre-trained Language Models on Japanese Honorific Conversion

Ryo Sekizawa, Hitomi Yanaka

Comments To appear in the Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM2023) with ACL2023

KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations

Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian McAuley, Thomas Lukasiewicz, Oana-Maria Camburu

Comments Short paper, ACL 2023

Journal ref The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023)

A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires

Hoyun Song, Jisu Shin, Huije Lee, Jong C. Park

Comments ACL 2023, 15 pages, 11 tables, 4 figures

DecompX: Explaining Transformers Decisions by Propagating Token Decomposition

Ali Modarressi, Mohsen Fayyaz, Ehsan Aghazadeh, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar

Comments Accepted to ACL 2023 (main conference)

Text-To-KG Alignment: Comparing Current Methods on Classification Tasks

Sondre Wold, Lilja Øvrelid, Erik Velldal

Comments Camera ready version for MATCHING workshop at ACL 2023

On "Scientific Debt" in NLP: A Case for More Rigour in Language Model Pre-Training Research

Made Nindyatama Nityasya, Haryo Akbarianto Wibowo, Alham Fikri Aji, Genta Indra Winata, Radityo Eko Prasojo, Phil Blunsom, Adhiguna Kuncoro

Comments Accepted at ACL 2023

Learning to Substitute Spans towards Improving Compositional Generalization

Zhaoyi Li, Ying Wei, Defu Lian

Comments accepted by ACL 2023

Cross-Lingual Transfer with Target Language-Ready Task Adapters

Marinela Parović, Alan Ansell, Ivan Vulić, Anna Korhonen

Comments Accepted to Findings of ACL 2023

PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models

Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiaojun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic

Comments Accepted by ACL 2023's workshop BioNLP 2023

Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints

Chao Lou, Kewei Tu

Comments ACL 2023