NAACL 2025

1,927 papers

Unzipping the Causality of Zipf’s Law and Other Lexical Trade-offs

Amanda Doucette, Timothy J. O’Donnell, Morgan Sonderegger

Exploring the Integration of Eye Movement Data on Word Embeddings

Fermín Travi, Gabriel Aimé Leclercq, Diego Fernández Slezak, Bruno Bianchi, Juan E Kamienkowski

Profiling neural grammar induction on morphemically tokenised child-directed speech

Mila Marcheva, Theresa Biberauer, Weiwei Sun

From Punchlines to Predictions: A Metric to Assess LLM Performance in Identifying Humor in Stand-Up Comedy

Adrianna Romanowski, Pedro H. V. Valois, Kazuhiro Fukui

Capturing Online SRC/ORC Effort with Memory Measures from a Minimalist Parser

Aniello De Santo

ParaBLoCC: Parallel Basic Locative Constructions Corpus

Peter Viechnicki, Anthony Kostacos

Linguistic Blind Spots of Large Language Models

Jiali Cheng, Hadi Amiri

Who We Are, Where We Are: Mental Health at the Intersection of Person, Situation, and Large Language Models

Nikita Soni, August Håkan Nilsson, Syeda Mahwish, Vasudha Varadarajan, H. Andrew Schwartz

Transformer-Based Analysis of Adaptive and Maladaptive Self-States in Longitudinal Social Media Data

Abhin B, Renukasakshi V Patil

Team ISM at CLPsych 2025: Capturing Mental Health Dynamics from Social Media Timelines using A Pretrained Large Language Model with In-Context Learning

Vu Tran, Tomoko Matsui

Self-State Evidence Extraction and Well-Being Prediction from Social Media Timelines

Suchandra Chakraborty, Sudeshna Jana, Manjira Sinha, Tirthankar Dasgupta

Retrieval-Enhanced Mental Health Assessment: Capturing Self-State Dynamics from Social Media Using In-Context Learning

Anson Antony, Annika Schoene

Prompt Engineering for Capturing Dynamic Mental Health Self States from Social Media Posts

Callum Chan, Sunveer Khunkhun, Diana Inkpen, Juan Antonio Lossio-Ventura

From Posts to Timelines: Modeling Mental Health Dynamics from Social Media Timelines with Hybrid LLMs

Zimu Wang, Hongbin Na, Rena Gao, Jiayuan Ma, Yining Hua

From Evidence Mining to Meta-Prediction: a Gradient of Methodologies for Task-Specific Challenges in Psychological Assessment

Federico Ravenda, Fawzia-Zehra Kara-Isitt, Stephen Swift, Antonietta Mira, Andrea Raballo

CIOL at CLPsych 2025: Using Large Lanuage Models for Understanding and Summarizing Clinical Texts

Md. Iqramul Hoque, Mahfuz Ahmed Anik, Azmine Toushik Wasi

Capturing the Dynamics of Mental Well-Being: Adaptive and Maladaptive States in Social Media

Anastasia Sandu, Teodor Mihailescu, Ana Sabina Uban, Ana-Maria Bucur

A baseline for self-state identification and classification in mental health data: CLPsych 2025 Task

Laerdon Kim

Overview of the CLPsych 2025 Shared Task: Capturing Mental Health Dynamics from Social Media Timelines

Talia Tseriotou, Jenny Chim, Ayal Klein, Aya Shamir, Guy Dvir

Using LLMs to Aid Annotation and Collection of Clinically-Enriched Data in Bipolar Disorder and Schizophrenia

Ankit Aich, Avery Quynh, Pamela Osseyi, Amy Pinkham, Philip Harvey

A Systematic Evaluation of LLM Strategies for Mental Health Text Analysis: Fine-tuning vs. Prompt Engineering vs. RAG

Arshia Kermani, Veronica Perez-Rosas, Vangelis Metsis

Synthetic Empathy: Generating and Evaluating Artificial Psychotherapy Dialogues to Detect Empathy in Counseling Sessions

Daniel Cabrera Lozoya, Eloy Hernandez Lua, Juan Alberto Barajas Perches, Mike Conway, Simon D’Alfonso

Socratic Reasoning Improves Positive Text Rewriting

Anmol Goel, Nico Daheim, Christian Montag, Iryna Gurevych

Exploratory Study into Relations between Cognitive Distortions and Emotional Appraisals

Navneet Agarwal, Kairit Sirts

Datasets for Depression Modeling in Social Media: An Overview

Ana-Maria Bucur, Andreea Moldovan, Krutika Parvatikar, Marcos Zampieri, Ashiqur KhudaBukhsh

CFiCS: Graph-Based Classification of Common Factors and Microcounseling Skills

Fabian Schmidt, Karin Hammerfald, Henrik Haaland Jahren, Vladimir Vlassov

Bigger But Not Better: Small Neural Language Models Outperform LLMs in Detection of Thought Disorder

Changye Li, Weizhe Xu, Serguei Pakhomov, Ellen Bradley, Dror Ben-zeev

Automatic Scoring of an Open-Response Measure of Advanced Mind-Reading Using Large Language Models

Yixiao Wang, Russel Dsouza, Robert Lee, Ian Apperly, Rory Devine

Measuring Mental Health Variables in Computational Research: Toward Validated, Dimensional, and Transdiagnostic Approaches

Chen Shani, Elizabeth Stade

Linking Language-based Distortion Detection to Mental Health Outcomes

Vasudha Varadarajan, Allison Lahnala, Sujeeth Vankudari, Akshay Raghavan, Scott Feltman

Enhancing Depression Detection via Question-wise Modality Fusion

Aishik Mandal, Dana Atzil-Slonim, Thamar Solorio, Iryna Gurevych

The Emotional Spectrum of LLMs: Leveraging Empathy and Emotion-Based Markers for Mental Health Support

Alessandro De Grandi, Federico Ravenda, Andrea Raballo, Fabio Crestani

AutoPsyC: Automatic Recognition of Psychodynamic Conflicts from Semi-structured Interviews with Large Language Models

Sayed Hossain, Simon Ostermann, Patrick Gebhard, Cord Benecke, Josef van Genabith

Assessing the Reliability and Validity of GPT-4 in Annotating Emotion Appraisal Ratings

Deniss Ruder, Andero Uusberg, Kairit Sirts

Bridging the Gap: Inclusive Artificial Intelligence for Patient-Oriented Language Processing in Conversational Agents in Healthcare

Kerstin Denecke

Overview of the PerAnsSumm 2025 Shared Task on Perspective-aware Healthcare Answer Summarization

Siddhant Agarwal, Md. Shad Akhtar, Shweta Yadav

UMB@PerAnsSumm 2025: Enhancing Perspective-Aware Summarization with Prompt Optimization and Supervised Fine-Tuning

Kristin Qi, Youxiang Zhu, Xiaohui Liang

Abdelmalak at PerAnsSumm 2025: Leveraging a Domain-Specific BERT and LLaMA for Perspective-Aware Healthcare Answer Summarization

Abanoub Abdelmalak

YaleNLP @ PerAnsSumm 2025: Multi-Perspective Integration via Mixture-of-Agents for Enhanced Healthcare QA Summarization

Dongsuk Jang, Haoxin Li, Arman Cohan

LTRC-IIITH at PerAnsSumm 2025: SpanSense - Perspective-specific span identification and Summarization

Sushvin Marimuthu, Parameswari Krishnamurthy

AICOE at PerAnsSumm 2025: An Ensemble of Large Language Models for Perspective-Aware Healthcare Answer Summarization

Rakshith R, Mohammed Sameer Khan, Ankush Chopra

Lightweight LLM Adaptation for Medical Summarisation: Roux-lette at PerAnsSumm Shared Task

Anson Antony, Peter Vickers, Suzanne Wendelken

LMU at PerAnsSumm 2025: LlaMA-in-the-loop at Perspective-Aware Healthcare Answer Summarization Task 2.2 Factuality

Tanalp Agustoslu

DataHacks at PerAnsSumm 2025: LoRA-Driven Prompt Engineering for Perspective Aware Span Identification and Summarization

Vansh Nawander, Chaithra Reddy Nerella

WisPerMed @ PerAnsSumm 2025: Strong Reasoning Through Structured Prompting and Careful Answer Selection Enhances Perspective Extraction and Summarization of Healthcare Forum Threads

Tabea Pakull, Hendrik Damm, Henning Schäfer, Peter Horn, Christoph Friedrich

MNLP at PerAnsSumm: A Classifier-Refiner Architecture for Improving the Classification of Consumer Health User Responses

Jooyeon Lee, Luan Huy Pham, Ozlem Uzuner

The Manchester Bees at PerAnsSumm 2025: Iterative Self-Prompting with Claude and o1 for Perspective-aware Healthcare Answer Summarisation

Pablo Romero, Libo Ren, Lifeng Han, Goran Nenadic

Medifact at PerAnsSumm 2025: Leveraging Lightweight Models for Perspective-Specific Summarization of Clinical Q&A Forums

Nadia Saeed

Capturing Patients’ Lived Experiences with Chronic Pain through Motivational Interviewing and Information Extraction

Hadeel R A Elyazori, Rusul Abdulrazzaq, Hana Al Shawi, Isaac Amouzou, Patrick King

Bias in Danish Medical Notes: Infection Classification of Long Texts Using Transformer and LSTM Architectures Coupled with BERT

Mehdi Parviz, Rudi Agius, Carsten Niemann, Rob van der Goot

Medication Extraction and Entity Linking using Stacked and Voted Ensembles on LLMs

Pablo Romero, Lifeng Han, Goran Nenadic

A Preliminary Study on NLP-Based Personalized Support for Type 1 Diabetes Management

Sandra Mitrović, Federico Fontana, Andrea Zignoli, Felipe Mattioni Maturana, Christian Berchtold

Towards Knowledge-Guided Biomedical Lay Summarization using Large Language Models

Shufan Ming, Yue Guo, Halil Kilicoglu

Bridging the Gap in Health Literacy: Harnessing the Power of Large Language Models to Generate Plain Language Summaries from Biomedical Texts

Felipe Arias-Russi, Carolina Salazar-Lara, Rubén Manrique

Towards Understanding LLM-Generated Biomedical Lay Summaries

Rohan Charudatt Salvi, Swapnil Panigrahi, Dhruv Jain, Shweta Yadav, Md. Shad Akhtar

Am I eligible? Natural Language Inference for Clinical Trial Patient Recruitment: the Patient’s Point of View

Mathilde Aguiar, Pierre Zweigenbaum, Nona Naderi

Predicting Chronic Kidney Disease Progression from Stage III to Stage V using Language Models

Zainab Awan, Rafael Henkin, Nick Reynolds, Michael Barnes

Will Gen Z users look for evidence to verify QA System-generated answers?

Soumya Gayen, Dina Demner-Fushman, Deepak Gupta

Explainable ICD Coding via Entity Linking

Leonor Barreiros, Isabel Coutinho, Gonçalo Correia, Bruno Martins

LT3: Generating Medication Prescriptions with Conditional Transformer

Samuel Belkadi, Nicolo Micheletti, Lifeng Han, Warren Del-Pinto, Goran Nenadic

Leveraging External Knowledge Bases: Analyzing Presentation Methods and Their Impact on Model Performance

Hui-Syuan Yeh, Thomas Lavergne, Pierre Zweigenbaum

Preliminary Evaluation of an Open-Source LLM for Lay Translation of German Clinical Documents

Tabea Pakull, Amin Dada, Hendrik Damm, Anke Fleischhauer, Sven Benson

Benchmarking IsiXhosa Automatic Speech Recognition and Machine Translation for Digital Health Provision

Abby Blocker, Francois Meyer, Ahmed Biyabani, Joyce Mwangama, Mohammed Ishaaq Datay

On Large Foundation Models and Alzheimer’s Disease Detection

Chuyuan Li, Giuseppe Carenini, Thalia Field

LLM Based Efficient CSR Summarization using Structured Fact Extraction and Feedback

Kunwar Zaid, Amit Sangroya, Lovekesh Vig

Using LLMs to improve RL policies in personalized health adaptive interventions

Karine Karine, Benjamin Marlin

MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters

Amin Dada, Osman Koraş, Marie Bauer, Amanda Butler, Kaleb Smith

Comparing representations of long clinical texts for the task of patient-note identification

Safa Alsaidi, Marc Vincent, Olivia Boyer, Nicolas Garcelon, Miguel Couceiro

Multimodal Transformers for Clinical Time Series Forecasting and Early Sepsis Prediction

Jinghua Xu, Michael Staniek

Mining Social Media for Barriers to Opioid Recovery with LLMs

Vinu Ekanayake, Md Sultan Al Nahian, Ramakanth Kavuluru

When Multilingual Models Compete with Monolingual Domain-Specific Models in Clinical Question Answering

Vojtech Lanz, Pavel Pecina

Explainability for NLP in Pharmacovigilance: A Study on Adverse Event Report Triage in Swedish

Luise Dürlich, Erik Bergman, Maria Larsson, Hercules Dalianis, Seamus Doyle

SpecialtyScribe: Enhancing SOAP note Scribing for Medical Specialties using LLM’s

Sagar Goyal, Eti Rastogi, Fen Zhao, Dong Yuan, Andrew Beinstein

Prefix-Enhanced Large Language Models with Reused Training Data in Multi-Turn Medical Dialogue

Suxue Ma, Zhicheng Yang, Ruei-Sung Lin, Youbao Tang, Ning Zhang

Synthetic Documents for Medical Tasks: Bridging Privacy with Knowledge Injection and Reward Mechanism

Simon Meoni, Éric de la Clergerie, Théo Ryffel

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare

José G. Moreno, Jesus Lovon-Melgarejo, M’rick Robin-Charlet, Christine Damase-Michel, Lynda Tamine

LexiLogic@CALCS 2025: Predicting Preferences in Generated Code-Switched Text

Pranav Gupta, Souvik Bhattacharyya, Niranjan Kumar M, Billodal Roy

Tongue-Tied: Breaking LLMs Safety Through New Language Learning

Bibek Upadhayay, Vahid Behzadan

Where and How Do Languages Mix? A Study of Spanish-Guaraní Code-Switching in Paraguay

Olga Kellert, Nemika Tyagi

Beyond Monolingual Limits: Fine-Tuning Monolingual ASR for Yoruba-English Code-Switching

Oreoluwa Boluwatife Babatunde, Victor Tolulope Olufemi, Emmanuel Bolarinwa, Kausar Yetunde Moshood, Chris Chinenye Emezue

The Impact of Code-switched Synthetic Data Quality is Task Dependent: Insights from MT and ASR

Injy Hamed, Thang Vu, Nizar Habash

EuskañolDS: A Naturally Sourced Corpus for Basque-Spanish Code-Switching

Maite Heredia, Jeremy Barnes, Aitor Soroa

WHEN TOM EATS KIMCHI: Evaluating Cultural Awareness of Multimodal Large Language Models in Cultural Mixture Contexts

Jun Seong Kim, Kyaw Ye Thu, Javad Ismayilzada, Junyeong Park, Eunsu Kim

Cross-Cultural Differences in Mental Health Expressions on Social Media

Sunny Rai, Khushi Shelat, Devansh Jain, Ashwin Kishen, Young Min Cho

Towards Region-aware Bias Evaluation Metrics

Angana Borah, Aparna Garimella, Rada Mihalcea

One world, one opinion? The superstar effect in LLM responses

Sofie Goethals, Lauren Rhue

LLM-C3MOD: A Human-LLM Collaborative System for Cross-Cultural Hate Speech Moderation

Junyeong Park, Seogyeong Jeong, Seyoung Song, Yohan Lee, Alice Oh

Korean Stereotype Content Model: Translating Stereotypes Across Cultures

Michelle YoungJin Kim, Kristen Johnson

DaKultur: Evaluating the Cultural Awareness of Language Models for Danish with Native Speakers

Max Müller-Eberstein, Mike Zhang, Elisa Bassignana, Peter Brunsgaard Trolle, Rob van der Goot

InspAIred: Cross-cultural Inspiration Detection and Analysis in Real and LLM-generated Social Media Data

Oana Ignat, Gayathri Ganesh Lakshmy, Rada Mihalcea

Fair Summarization: Bridging Quality and Diversity in Extractive Summaries

Sina Bagheri Nezhad, Sayan Bandyapadhyay, Ameeta Agrawal

Multi-Step Reasoning in Korean and the Emergent Mirage

Guijin Son, Hyunwoo Ko, Dasol Choi

LLM Alignment for the Arabs: A Homogenous Culture or Diverse Ones

Amr Keleg

Findings of the AmericasNLP 2025 Shared Tasks on Machine Translation, Creation of Educational Material, and Translation Metrics for Indigenous Languages of the Americas

Ona de Gibert, Robert Pugh, Ali Marashian, Raúl Vázquez, Abteen Ebrahimi

Leveraging Large Language Models for Spanish-Indigenous Language Machine Translation at AmericasNLP 2025

Mahshar Yahan, Dr. Mohammad Islam

Harnessing NLP for Indigenous Language Education: Fine-Tuning Large Language Models for Sentence Transformation

Mahshar Yahan, Dr. Mohammad Islam

Leveraging Dictionaries and Grammar Rules for the Creation of Educational Materials for Indigenous Languages

Justin Vasselli, Haruki Sakajo, Arturo Martínez Peguero, Frederikus Hudi, Taro Watanabe

JHU’s Submission to the AmericasNLP 2025 Shared Task on the Creation of Educational Materials for Indigenous Languages

Tom Lupicki, Lavanya Shankar, Kaavya Chaparala, David Yarowsky

Machine Translation Metrics for Indigenous Languages Using Fine-tuned Semantic Embeddings

Nathaniel Krasner, Justin Vasselli, Belu Ticona, Antonios Anastasopoulos, Chi-kiu Lo

Machine Translation Using Grammar Materials for LLM Post-Correction

Jonathan Hus, Antonios Anastasopoulos, Nathaniel Krasner