ACL 2023

2,767 papers

GPTs Don’t Keep Secrets: Searching for Backdoor Watermark Triggers in Autoregressive Language Models

Evan Lucas, Timothy Havens

Privacy- and Utility-Preserving NLP with Anonymized data: A case study of Pseudonymization

Oleksandr Yermilov, Vipul Raheja, Artem Chernodub

Enhancing textual counterfactual explanation intelligibility through Counterfactual Feature Importance

Milan Bhan, Jean-Noël Vittaut, Nicolas Chesneau, Marie-jeanne Lesot

Detecting Personal Information in Training Corpora: an Analysis

Nishant Subramani, Sasha Luccioni, Jesse Dodge, Margaret Mitchell

Distinguishing Fact from Fiction: A Benchmark Dataset for Identifying Machine-Generated Scientific Papers in the LLM Era.

Edoardo Mosca, Mohamed Hesham Ibrahim Abdalla, Paolo Basso, Margherita Musumeci, Georg Groh

DEPTH+: An Enhanced Depth Metric for Wikipedia Corpora Quality

Saied Alshahrani, Norah Alshahrani, Jeanna Matthews

Are fairness metric scores enough to assess discrimination biases in machine learning?

Fanny Jourdan, Laurent Risser, Jean-Michel Loubes, Nicholas Asher

Guiding Text-to-Text Privatization by Syntax

Stefan Arnold, Dilara Yesilbas, Sven Weinzierl

Debunking Biases in Attention

Shijing Chen, Usman Naseem, Imran Razzak

Linguistic Properties of Truthful Response

Bruce W. Lee, Benedict Florance Arockiaraj, Helen Jin

An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models

Saghar Hosseini, Hamid Palangi, Ahmed Hassan Awadallah

A Keyword Based Approach to Understanding the Overpenalization of Marginalized Groups by English Marginal Abuse Models on Twitter

Kyra Yee, Alice Schoenauer Sebag, Olivia Redfield, Matthias Eck, Emily Sheng

Sample Attackability in Natural Language Adversarial Attacks

Vyas Raina, Mark Gales

Reliability Check: An Analysis of GPT-3’s Response to Sensitive Topics and Prompt Wording

Aisha Khatun, Daniel Brown

Examining the Causal Impact of First Names on Language Models: The Case of Social Commonsense Reasoning

Sullam Jeoung, Jana Diesner, Halil Kilicoglu

Improving Factuality of Abstractive Summarization via Contrastive Reward Learning

I-Chun Chern, Zhiruo Wang, Sanjan Das, Bhavuk Sharma, Pengfei Liu

Can we trust the evaluation on ChatGPT?

Rachith Aiyappa, Jisun An, Haewoon Kwak, Yong-Yeol Ahn

Pay Attention to the Robustness of Chinese Minority Language Models! Syllable-level Textual Adversarial Attack on Tibetan Script

Xi Cao, Dolma Dawa, Nuo Qun, Trashi Nyima

Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models

Pranav Narayanan Venkit, Mukund Srinath, Shomir Wilson

Driving Context into Text-to-Text Privatization

Stefan Arnold, Dilara Yesilbas, Sven Weinzierl

Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training

Dongfang Li, Baotian Hu, Qingcai Chen, Shan He

Minimalist Entity Disambiguation for Mid-Resource Languages

Benno Kruit

Query Encoder Distillation via Embedding Alignment is a Strong Baseline Method to Boost Dense Retriever Online Efficiency

Yuxuan Wang, Lyu Hong

Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints

Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed, Laks Lakshmanan

PersonaPKT: Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer

Xu Han, Bin Guo, Yoon Jung, Benjamin Yao, Yu Zhang

Corpus Complexity Matters in Pretraining Language Models

Ameeta Agrawal, Suresh Singh

Towards Adaptable and Interactive Image Captioning with Data Augmentation and Episodic Memory

Aliki Anagnostopoulou, Mareike Hartmann, Daniel Sonntag

Exploring the Effect of Frequency Resolution in FNet

Gregory Szumel, Ghazal Khalighinejad, Rickard Stureborg, Sam Wiseman

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

Peggy Tang, Junbin Gao, Lei Zhang, Zhiyong Wang

MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages

Shashank Sonkar, Zichao Wang, Richard Baraniuk

KGQA Without Retraining

Nick McKenna, Priyanka Sen

Prompting language models improves performance in imbalanced setting

Jay Mohta

How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?

Xin Xu, YUQI ZHU, Xiaohan Wang, Ningyu Zhang

Is a Video worth n n Images? A Highly Efficient Approach to Transformer-based Video Question Answering

Chenyang Lyu, Tianbo Ji, Yvette Graham, Jennifer Foster

Can we Pretrain a SotA Legal Language Model on a Budget From Scratch?

Joel Niklaus, Daniele Giofre

On the Interactions of Structural Constraints and Data Resources for Structured Prediction

Zhisong Zhang, Emma Strubell, Eduard Hovy

NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks

Jean-michel Attendu, Jean-philippe Corbeil

ADEPT: Adapter-based Efficient Prompt Tuning Approach for Language Models

Aditya Shah, Surendrabikram Thapa, Aneesh Jain, Lifu Huang

Small is the New Big: Pre-finetuned compact models are better for Asynchronous Active Learning

Dantong Liu, Kaushik Pavani, Sunny Dasgupta

To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency

Daniel Campos, ChengXiang Zhai

Lessons on Parameter Sharing across Layers in Transformers

Sho Takase, Shun Kiyono

Quick Dense Retrievers Consume KALE: Post Training KullbackLeibler Alignment of Embeddings for Asymmetrical dual encoders

Daniel Campos, Alessandro Magnani, ChengXiang Zhai

oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes

Daniel Campos, Alexandre Marques, Mark Kurtz, Cheng Xiang Zhai

Semantic-Oriented Unlabeled Priming for Large-Scale Language Models

Yanchen Liu, Timo Schick, Hinrich Schtze

KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals

Sandeep Silwal, Sara Ahmadian, Andrew Nystrom, Andrew McCallum, Deepak Ramachandran

Can Sequence-to-Sequence Transformers Naturally Understand Sequential Instructions?

Xiang Zhou, Aditya Gupta, Shyam Upadhyay, Mohit Bansal, Manaal Faruqui

Adverbs, Surprisingly

Dmitry Nikolaev, Collin Baker, Miriam R. L. Petruck, Sebastian Padó

Robust Integration of Contextual Information for Cross-Target Stance Detection

Tilman Beck, Andreas Waldis, Iryna Gurevych

Arithmetic-Based Pretraining Improving Numeracy of Pretrained Language Models

Dominic Petrak, Nafise Sadat Moosavi, Iryna Gurevych

Probing neural language models for understanding of words of estimative probability

Damien Sileo, Marie-Francine Moens

Empirical Sufficiency Lower Bounds for Language Modeling with Locally-Bootstrapped Semantic Structures

Jakob Prange, Emmanuele Chersoni

Monolingual Phrase Alignment as Parse Forest Mapping

Sora Kadotani, Yuki Arase

FEED PETs: Further Experimentation and Expansion on the Disambiguation of Potentially Euphemistic Terms

Patrick Lee, Iyanuoluwa Shode, Alain Trujillo, Yuan Zhao, Olumide Ojo

Functional Distributional Semantics at Scale

Chun Hei Lo, Hong Cheng, Wai Lam, Guy Emerson

Query Generation Using GPT-3 for CLIP-Based Word Sense Disambiguation for Image Retrieval

Xiaomeng Pan, Zhousi Chen, Mamoru Komachi

Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples

Rhitabrat Pokharel, Ameeta Agrawal

Leveraging Active Learning to Minimise SRL Annotation Across Corpora

Skatje Myers, Martha Palmer

Event Semantic Knowledge in Procedural Text Understanding

Ghazaleh Kazeminejad, Martha Palmer

Representation of Lexical Stylistic Features in Language Models’ Embedding Space

Qing Lyu, Marianna Apidianaki, Chris Callison-Burch

Semantically-informed Hierarchical Event Modeling

Shubhashis Roy Dipta, Mehdi Rezaee, Francis Ferraro

A Tale of Two Laws of Semantic Change: Predicting Synonym Changes with Distributional Semantic Models

Bastien Lietard, Mikaela Keller, Pascal Denis

Guiding Zero-Shot Paraphrase Generation with Fine-Grained Control Tokens

Teemu Vahtola, Mathias Creutz, Jrg Tiedemann

True Detective: A Deep Abductive Reasoning Benchmark Undoable for GPT-3 and Challenging for GPT-4

Maksym Del, Mark Fishel

PCFG-Based Natural Language Interface Improves Generalization for Controlled Text Generation

Jingyu Zhang, James Glass, Tianxing He

Scalable Performance Analysis for Vision-Language Models

Santiago Castro, Oana Ignat, Rada Mihalcea

„Mann“ is to “Donna” as「国王」is to « Reine » Adapting the Analogy Task for Multilingual and Contextual Embeddings

Timothee Mickus, Eduardo Calò, Léo Jacqmin, Denis Paperno, Mathieu Constant

Testing Paraphrase Models on Recognising Sentence Pairs at Different Degrees of Semantic Overlap

Qiwei Peng, David Weir, Julie Weeds

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

Tomoya Kurosawa, Hitomi Yanaka

Limits for learning with language models

Nicholas Asher, Swarnadeep Bhar, Akshay Chaturvedi, Julie Hunter, Soumya Paul

Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning

Hyunsoo Cho, Choonghyun Park, Junyeob Kim, Hyuhng Joon Kim, Kang Min Yoo

KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction

Jason Youn, Ilias Tagkopoulos

LEXPLAIN: Improving Model Explanations via Lexicon Supervision

Orevaoghene Ahia, Hila Gonen, Vidhisha Balachandran, Yulia Tsvetkov, Noah A. Smith

Seeking Clozure: Robust Hypernym extraction from BERT with Anchored Prompts

Chunhua Liu, Trevor Cohn, Lea Frermann

Is Shortest Always Best? The Role of Brevity in Logic-to-Text Generation

Eduardo Calò, Jordi Levy, Albert Gatt, Kees van Deemter

How Are Idioms Processed Inside Transformer Language Models?

Ye Tian, Isobel James, Hye Son

Can Pretrained Language Models Derive Correct Semantics from Corrupt Subwords under Noise?

Xinzhe Li, Ming Liu, Shang Gao

Syntax and Semantics Meet in the “Middle”: Probing the Syntax-Semantics Interface of LMs Through Agentivity

Lindia Tjuatja, Emmy Liu, Lori Levin, Graham Neubig

Are Language Models Sensitive to Semantic Attraction? A Study on Surprisal

Yan Cong, Emmanuele Chersoni, Yu-Yin Hsu, Alessandro Lenci

Generative Data Augmentation for Aspect Sentiment Quad Prediction

An Wang, Junfeng Jiang, Youmi Ma, Ao Liu, Naoaki Okazaki

JSEEGraph: Joint Structured Event Extraction as Graph Parsing

Huiling You, Lilja Vrelid, Samia Touileb

Language models are not naysayers: an analysis of language models on negation benchmarks

Thinh Hung Truong, Timothy Baldwin, Karin Verspoor, Trevor Cohn

Evaluating Factual Consistency of Texts with Semantic Role Labeling

Jing Fan, Dennis Aumiller, Michael Gertz

Not All Counterhate Tweets Elicit the Same Replies: A Fine-Grained Analysis

Abdullah Albanyan, Ahmed Hassan, Eduardo Blanco

CRAPES:Cross-modal Annotation Projection for Visual Semantic Role Labeling

Abhidip Bhattacharyya, Martha Palmer, Christoffer Heckman

Improving Toponym Resolution with Better Candidate Generation, Transformer-based Reranking, and Two-Stage Resolution

Zeyu Zhang, Steven Bethard

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

Ryo Sekizawa, Hitomi Yanaka

When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs)

Reto Gubelmann, Aikaterini-Lida Kalouli, Christina Niklaus, Siegfried Handschuh

Revisiting Syntax-Based Approach in Negation Scope Resolution

Asahi Yoshida, Yoshihide Kato, Shigeki Matsubara

Leverage Points in Modality Shifts: Comparing Language-only and Multimodal Word Representations

Alexey Tikhonov, Lisa Bylinina, Denis Paperno

Including Facial Expressions in Contextual Embeddings for Sign Language Generation

Carla Viegas, Mert Inan, Lorna Quandt, Malihe Alikhani

Fine-tuning mSLAM for the SIGMORPHON 2022 Shared Task on Grapheme-to-Phoneme Conversion

Dan Garrette

A future for universal grapheme-phoneme transduction modeling with neuralized finite-state transducers

Chu-Cheng Lin

Low-resource grapheme-to-phoneme mapping with phonetically-conditioned transfer

Michael Hammond

SIGMORPHON 2022 Shared Task on Grapheme-to-Phoneme Conversion Submission Description: Sequence Labelling for G2P

Leander Girrbach

The SIGMORPHON 2022 Shared Task on Cross-lingual and Low-Resource Grapheme-to-Phoneme Conversion

Arya D. McCarthy, Jackson L. Lee, Alexandra DeLucia, Travis Bartley, Milind Agarwal

Glossy Bytes: Neural Glossing using Subword Encoding

Ziggy Cross, Michelle Yun, Ananya Apparaju, Jata MacCabe, Garrett Nicolai

An Ensembled Encoder-Decoder System for Interlinear Glossed Text

Edith Coates

SigMoreFun Submission to the SIGMORPHON Shared Task on Interlinear Glossing

Taiqi He, Lindia Tjuatja, Nathaniel Robinson, Shinji Watanabe, David R. Mortensen

LISN @ SIGMORPHON 2023 Shared Task on Interlinear Glossing

Shu Okabe, François Yvon

Findings of the SIGMORPHON 2023 Shared Task on Interlinear Glossing

Michael Ginn, Sarah Moeller, Alexis Palmer, Anna Stacey, Garrett Nicolai