NAACL 2024

1,282 papers

How Does Stereotype Content Differ across Data Sources?

Kathleen Fraser, Svetlana Kiritchenko, Isar Nejadgholi

MASSIVE Multilingual Abstract Meaning Representation: A Dataset and Baselines for Hallucination Detection

Michael Regan, Shira Wein, George Baker, Emilio Monti

Japanese Rule-based Grapheme-to-phoneme Conversion System and Multilingual Named Entity Dataset with International Phonetic Alphabet

Yuhi Matogawa, Yusuke Sakai, Taro Watanabe, Chihiro Taguchi

Acoustic barycenters as exemplar production targets

Frédéric Mailhot, Cassandra L. Jacobs

Decomposing Fusional Morphemes with Vector Embeddings

Michael Ginn, Alexis Palmer

The Effect of Model Capacity and Script Diversity on Subword Tokenization for Sorani Kurdish

Ali Salehi, Cassandra L. Jacobs

Ye Olde French: Effect of Old and Middle French on SIGMORPHON-UniMorph Shared Task Data

William Kezerian, Lam An Wyner, Sandro Ansari, Kristine M. Yu

Different Tokenization Schemes Lead to Comparable Performance in Spanish Number Agreement

Catherine Arnett, Pamela D. Rivière, Tyler A. Chang, Sean Trott

More than Just Statistical Recurrence: Human and Machine Unsupervised Learning of Māori Word Segmentation across Morphological Processes

Ashvini Varatharaj, Simon Todd

J-UniMorph: Japanese Morphological Annotation through the Universal Feature Schema

Kosuke Matsuzaki, Masaya Taniguchi, Kentaro Inui, Keisuke Sakaguchi

VeLePa: a Verbal Lexicon of Pame

Borja Herce

A First Step towards Measuring Interdisciplinary Engagement in Scientific Publications: A Case Study on NLP + CSS Research

Alexandria Leto, Shamik Roy, Alexander Hoyle, Daniel Acuna, Maria Leonor Pacheco

Clustering Document Parts: Detecting and Characterizing Influence Campaigns from Documents

Zhengxiang Wang, Owen Rambow

Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels

Nicholas Pangakis, Sam Wolken

News Deja Vu: Connecting Past and Present with Semantic Search

Brevin Franklin, Emily Silcock, Abhishek Arora, Tom Bryan, Melissa Dell

Where on Earth Do Users Say They Are?: Geo-Entity Linking for Noisy Multilingual User Input

Tessa Masis, Brendan O’Connor

Retrieval Augmented Generation of Subjective Explanations for Socioeconomic Scenarios

Razvan-Gabriel Dumitru, Maria Alexeeva, Keith Alcock, Nargiza Ludgate, Cheonkam Jeong

Can Large Language Models (or Humans) Disentangle Text?

Nicolas Audinet de Pieuchon, Adel Daoud, Connor Jerzak, Moa Johansson, Richard Johansson

Discovering Implicit Meanings of Cultural Motifs from Text

Anurag Acharya, Diego Estrada, Shreeja Dahal, W. Victor H. Yarlott, Diana Gomez

The Crime of Being Poor: Associations between Crime and Poverty on Social Media in Eight Countries

Georgina Curto, Svetlana Kiritchenko, Kathleen Fraser, Isar Nejadgholi

Connecting the Dots in News Analysis: Bridging the Cross-Disciplinary Disparities in Media Bias and Framing

Gisela Vallejo, Timothy Baldwin, Lea Frermann

Detecting Perspective-Getting in Wikipedia Discussions

Evgeny Vasilets, Tijs van den Broek, Anna Wegmann, David Abadi, Dong Nguyen

Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation Models

Alireza Mohammadshahi, Jannis Vamvas, Rico Sennrich

Multi-Task Learning with Adapters for Plausibility Prediction: Bridging the Gap or Falling into the Trenches?

Annerose Eichel, Sabine Schulte im Walde

The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics

Nikolay Bogoychev, Pinzhen Chen, Barry Haddow, Alexandra Birch

The Paradox of Preference: A Study on LLM Alignment Algorithms and Data Acquisition Methods

Rishikesh Devanathan, Varun Nathan, Ayush Kumar

Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing

Kv Aditya Srivatsa, Kaushal Maurya, Ekaterina Kochmar

WINOVIZ: Probing Visual Properties of Objects Under Different States

Woojeong Jin, Tejas Srinivasan, Jesse Thomason, Xiang Ren

Can Abstract Meaning Representation Facilitate Fair Legal Judgement Predictions?

Supriti Vijay, Daniel Hershcovich

Can probing classifiers reveal the learning by contact center large language models?: No, it doesn’t!

Varun Nathan, Ayush Kumar, Digvijay Ingle

Using Locally Learnt Word Representations for better Textual Anomaly Detection

Alicia Breidenstein, Matthieu Labeau

Imaginary Numbers! Evaluating Numerical Referring Expressions by Neural End-to-End Surface Realization Systems

Rossana Cunha, Osuji Chinonso, João Campos, Brian Timoney, Brian Davis

Pointer-Generator Networks for Low-Resource Machine Translation: Don’t Copy That!

Niyati Bafna, Philipp Koehn, David Yarowsky

On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization

Jordi Armengol - Estape, Vincent Michalski, Ramnath Kumar, Pierre - Luc St-Charles, Doina Precup

An Analysis of BPE Vocabulary Trimming in Neural Machine Translation

Marco Cognetta, Tatsuya Hiraoka, Rico Sennrich, Yuval Pinter, Naoaki Okazaki

Knowledge Distillation vs. Pretraining from Scratch under a Fixed (Computation) Budget

Minh Duc Bui, Fabian Schmidt, Goran Glavaš, Katharina von der Wense

I Have an Attention Bridge to Sell You: Generalization Capabilities of Modular Translation Architectures

Timothee Mickus, Raúl Vázquez, Joseph Attieh

How Well Can a Genetic Algorithm Fine-tune Transformer Encoders? A First Approach

Vicente Ivan Sanchez Carmona, Shanshan Jiang, Bin Dong

Does Fine-tuning a Classifier Help in Low-budget Scenarios? Not Much

Cesar Gonzalez - Gutierrez, Audi Primadhanty, Francesco Cazzaro, Ariadna Quattoni

What explains the success of cross-modal fine-tuning with ORCA?

Paloma García-de-Herreros, Vagrant Gautam, Philipp Slusallek, Dietrich Klakow, Marius Mosbach

MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer

Haotian Ye, Yihong Liu, Chunlan Ma, Hinrich Schütze

LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations

Qianli Wang, Tatiana Anikina, Nils Feldhus, Josef Genabith, Leonhard Hennig

Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP

Sanjana Gautam, Mukund Srinath

Sensemaking of Socially-Mediated Crisis Information

Vrushali Koli, Jun Yuan, Aritra Dasgupta

An Interactive Co-Pilot for Accelerated Research Ideation

Harshit Nigam, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff

How Much Annotation is Needed to Compare Summarization Models?

Chantal Shaib, Joe Barrow, Alexa Siu, Byron Wallace, Ani Nenkova

Combining Multiple Metrics for Evaluating Retrieval-Augmented Conversations

Jason Ingyu Choi, Marcus Collins, Eugene Agichtein, Oleg Rokhlenko, Shervin Malmasi

This Reference Does Not Exist: An Exploration of LLM Citation Accuracy and Relevance

Courtni Byun, Piper Vasicek, Kevin Seppi

Properties and Challenges of LLM-Generated Explanations

Jenny Kunz, Marco Kuhlmann

Examining Prosody in Spoken Navigation Instructions for People with Disabilities

Cathy Jiao, Aaron Steinfeld, Maxine Eskenazi

A Report on the FigLang 2024 Shared Task on Multimodal Figurative Language

Shreyas Kulkarni, Arkadiy Saakyan, Tuhin Chakrabarty, Smaranda Muresan

Report on the Multilingual Euphemism Detection Task

Patrick Lee, Anna Feldman

The Register-specific Distribution of Personification in Hungarian: A Corpus-driven Analysis

Gabor Simon

FigCLIP: A Generative Multimodal Model with Bidirectional Cross-attention for Understanding Figurative Language via Visual Entailment

Qihao Yang, Xuelin Wang

A Textual Modal Supplement Framework for Understanding Multi-Modal Figurative Language

Jiale Chen, Qihao Yang, Xuelian Dong, Xiaoling Mao, Tianyong Hao

An Expectation-Realization Model for Metaphor Detection

Oseremen Uduehi, Răzvan Bunescu

Ensemble-based Multilingual Euphemism Detection: a Behavior-Guided Approach

Fedor Vitiugin, Henna Paakki

Can GPT4 Detect Euphemisms across Multiple Languages?

Todd Firsich, Anthony Rios

Evaluating the Development of Linguistic Metaphor Annotation in Mexican Spanish Popular Science Tweets

Alec Sánchez-Montero, Gemma Bel-Enguix, Sergio-luis Ojeda-trueba

Guidelines for the Annotation of Deliberate Linguistic Metaphor

Stefanie Dipper, Adam Roussel, Alexandra Wiemann, Won Kim, Tra-My Nguyen

The Elephant in the Room: Ten Challenges of Computational Detection of Rhetorical Figures

Ramona Kühn, Jelena Mitrović

A Hard Nut to Crack: Idiom Detection with Conversational Large Language Models

Francesca De Luca Fornaciari, Begoña Altuna, Itziar Gonzalez-Dios, Maite Melero

Cross-Lingual Metaphor Detection for Low-Resource Languages

Anna Hülsing, Sabine Schulte im Walde

Comparison of Image Generation Models for Abstract and Concrete Event Descriptions

Mohammed Khaliq, Diego Frassinelli, Sabine Schulte im Walde

Optimizing Multilingual Euphemism Detection using Low-Rank Adaption Within and Across Languages

Nicholas Hankins

Context vs. Human Disagreement in Sarcasm Detection

Hyewon Jang, Moritz Jakob, Diego Frassinelli

CURATRON: Complete and Robust Preference Data for Rigorous Alignment of Large Language Models

Son The Nguyen, Niranjan Uma Naresh, Theja Tulabandhula

Mini-DA: Improving Your Model Performance through Minimal Data Augmentation using LLM

SHuangtao Yang, Xiaoyi Liu, Xiaozheng Dong, Bo Fu

Evaluation and Continual Improvement for an Enterprise AI Assistant

Akash Maharaj, Kun Qian, Uttaran Bhattacharya, Sally Fang, Horia Galatanu

Towards Optimizing and Evaluating a Retrieval Augmented QA Chatbot using LLMs with Human-in-the-Loop

Anum Afzal, Alexander Kowsik, Rajna Fani, Florian Matthes

APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching

Kun Qian, Yisi Sang, Farima Fatahi Bayat, Anton Belyi, Xianqi Chu

LTRC-IIITH at MEDIQA-M3G 2024: Medical Visual Question Answering with Vision-Language Models

Jerrin Thomas, Sushvin Marimuthu, Parameswari Krishnamurthy

LTRC-IIITH at EHRSQL 2024: Enhancing Reliability of Text-to-SQL Systems through Abstention and Confidence Thresholding

Jerrin Thomas, Pruthwik Mishra, Dipti Sharma, Parameswari Krishnamurthy

ProbGate at EHRSQL 2024: Enhancing SQL Query Generation Accuracy through Probabilistic Threshold Filtering and Error Handling

Sangryul Kim, Donghee Han, Sehyun Kim

KU-DMIS at EHRSQL 2024 : Generating SQL query via question templatization in EHR

Hajung Kim, Chanhwi Kim, Hoonick Lee, Kyochul Jang, Jiwoo Lee

Saama Technologies at EHRSQL 2024: SQL Generation through Classification Answer Selector by LLM

Mohammed Jabir, Kamal Kanakarajan, Malaikannan Sankarasubbu

Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records

Gyubok Lee, Sunjun Kweon, Seongsu Bae, Edward Choi

LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs

Yongrae Jo, Seongyun Lee, Minju Seo, Sung Ju Hwang, Moontae Lee

WangLab at MEDIQA-M3G 2024: Multimodal Medical Answer Generation using Large Language Models

Ronald Xie, Steven Palayew, Augustin Toma, Gary Bader, Bo Wang

WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correction

Augustin Toma, Ronald Xie, Steven Palayew, Patrick Lawler, Bo Wang

UTSA-NLP at ChemoTimelines 2024: Evaluating Instruction-Tuned Language Models for Temporal Relation Extraction

Xingmeng Zhao, Anthony Rios

Overview of the MEDIQA-CORR 2024 Shared Task on Medical Error Detection and Correction

Asma Ben Abacha, Wen-wai Yim, Yujuan Fu, Zhaoyi Sun, Fei Xia

EM_Mixers at MEDIQA-CORR 2024: Knowledge-Enhanced Few-Shot In-Context Learning for Medical Error Detection and Correction

Swati Rajwal, Eugene Agichtein, Abeed Sarker

Overview of the MEDIQA-M3G 2024 Shared Task on Multilingual Multimodal Medical Answer Generation

Wen-wai Yim, Asma Ben Abacha, Yujuan Fu, Zhaoyi Sun, Fei Xia

IryoNLP at MEDIQA-CORR 2024: Tackling the Medical Error Detection & Correction Task on the Shoulders of Medical Agents

Jean-philippe Corbeil

Overview of the 2024 Shared Task on Chemotherapy Treatment Timeline Extraction

Jiarui Yao, Harry Hochheiser, Wonjin Yoon, Eli Goldner, Guergana Savova

CLD-MEC at MEDIQA- CORR 2024 Task: GPT-4 Multi-Stage Clinical Chain of Thought Prompting for Medical Errors Detection and Correction

Renad M. Alzghoul, Abdulrahman Tabaza, Aya Abdelhaq, Ahmad Altamimi

KU-DMIS at MEDIQA-CORR 2024: Exploring the Reasoning Capabilities of Small Language Models in Medical Error Correction

Hyeon Hwang, Taewhoo Lee, Hyunjae Kim, Jaewoo Kang

UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis

Parth Vashisht, Abhilasha Lodha, Mukta Maddipatla, Zonghai Yao, Avijit Mitra

Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints

Aryo Gema, Chaeeun Lee, Pasquale Minervini, Luke Daines, T. Simpson

Wonder at Chemotimelines 2024: MedTimeline: An End-to-End NLP System for Timeline Extraction from Clinical Narratives

Liwei Wang, Qiuhao Lu, Rui Li, Sunyang Fu, Hongfang Liu

HSE NLP Team at MEDIQA-CORR 2024 Task: In-Prompt Ensemble with Entities and Knowledge Graph for Medical Error Correction

Airat Valiev, Elena Tutubalina

VerbaNexAI at MEDIQA-CORR: Efficacy of GRU with BioWordVec and ClinicalBERT in Error Correction in Clinical Notes

Juan Pajaro, Edwin Puertas, David Villate, Laura Estrada, Laura Tinjaca

NEUI at MEDIQA-M3G 2024: Medical VQA through consensus

Ricardo Garcia, Oscar Lithgow-Serrano

IKIM at MEDIQA-M3G 2024: Multilingual Visual Question-Answering for Dermatology through VLM Fine-tuning and LLM Translations

Marie Bauer, Constantin Seibold, Jens Kleesiek, Amin Dada

AIRI NLP Team at EHRSQL 2024 Shared Task: T5 and Logistic Regression to the Rescue

Oleg Somov, Alexey Dontsov, Elena Tutubalina

NYULangone at Chemotimelines 2024: Utilizing Open-Weights Large Language Models for Chemotherapy Event Extraction

Jeff Zhang, Yin Aphinyanaphongs, Anthony Cardillo

Project PRIMUS at EHRSQL 2024 : Text-to-SQL Generation using Large Language Model for EHR Analysis

Sourav Joy, Rohan Ahmed, Argha Saha, Minhaj Habil, Utsho Das

KCLab at Chemotimelines 2024: End-to-end system for chemotherapy timeline extraction – Subtask2

Yukun Tan, Merve Dede, Ken Chen

Team NLPeers at Chemotimelines 2024: Evaluation of two timeline extraction methods, can generative LLM do it all or is smaller model fine-tuning still relevant ?

Nesrine Bannour, Judith Jeyafreeda Andrew, Marc Vincent