ACL 2025

4,141 papers

Bidirectional Topic Matching: Quantifying Thematic Intersections Between Climate Change and Climate Mitigation News Corpora Through Topic Modelling

Raven Adam, Marie Kogler

ClimateEval: A Comprehensive Benchmark for NLP Tasks Related to Climate Change

Murathan Kurfali, Shorouq Zahra, Joakim Nivre, Gabriele Messori

Scaling Species Diversity Analysis in Carbon Credit Projects with Large-Context LLMs

Jessica Walkenhorst, Colin McCormick

Detecting Hyperpartisanship and Rhetorical Bias in Climate Journalism: A Sentence-Level Italian Dataset

Michele Joshua Maggini, Davide Bassi, Pablo Gamallo

An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact

Avanija Menon, Ovidiu Serban

Evaluating Retrieval Augmented Generation to Communicate UK Climate Change Information

Arjun Biswas, Hatim Chahout, Tristan Pigram, Hang Dong, Hywel T.P. Williams

AI and Climate Change Discourse: What Opinions Do Large Language Models Present?

Marcelo Sartori Locatelli, Pedro Dutenhefner, Arthur Buzelin, Pedro Loures Alzamora, Yan Aquino

Biodiversity ambition analysis with Large Language Models

Stefan Troost, Roos Immerzeel, Christoph Krueger

ClimateIE: A Dataset for Climate Science Information Extraction

Huitong Pan, Mustapha Adamu, Qi Zhang, Eduard Dragut, Longin Jan Latecki

Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design

Marco Wrzalik, Adrian Ulges, Anne Uersfeld, Florian Faust, Viola Campos

Applying the Character-Role Narrative Framework with LLMs to Investigate Environmental Narratives in Scientific Editorials and Tweets

Francesca Grasso, Stefano Locci, Manfred Stede

Bridging AI and Carbon Capture: A Dataset for LLMs in Ionic Liquids and CBE Research

Sougata Saha, Gaurab Sarkar

Judging It, Washing It: Scoring and Greenwashing Corporate Climate Disclosures using Large Language Models

Marianne Chuang, Gabriel Chuang, Cheryl Chuang, John Chuang

Enhancing Retrieval for ESGLLM via ESG-CID: A Disclosure Content Index Finetuning Dataset for Mapping GRI and ESRS

Shafiuddin Rehan Ahmed, Ankit Shah, Quan Hung Tran, Vivek Khetan, Sukryool Kang

SlavicNLP 2025 Shared Task: Detection and Classification of Persuasion Techniques in Parliamentary Debates and Social Media

Jakub Piskorski, Dimitar Dimitrov, Filip Dobranić, Marina Ernst, Jacek Haneczok

Multilabel Classification of Persuasion Techniques with self-improving LLM agent: SlavicNLP 2025 Shared Task

Marcin Sawinski, Krzysztof Wecel, Ewelina Ksiezniak

Robust Detection of Persuasion Techniques in Slavic Languages via Multitask Debiasing and Walking Embeddings

Ewelina Ksiezniak, Krzysztof Wecel, Marcin Sawinski

Fine-Tuned Transformer-Based Weighted Soft Voting Ensemble for Persuasion Technique Classification in Slavic Languages

Mahshar Yahan, Sakib Sarker, Mohammad Islam

LLMs for Detection and Classification of Persuasion Techniques in Slavic Parliamentary Debates and Social Media Texts

Julia Jose, Rachel Greenstadt

Team INSAntive at SlavicNLP-2025 Shared Task: Data Augmentation and Enhancement via Explanations for Persuasion Technique Classification

Yutong Wang, Diana Nurbakova, Sylvie Calabretto

Hierarchical Classification of Propaganda Techniques in Slavic Texts in Hyperbolic Space

Christopher Brückner, Pavel Pecina

Empowering Persuasion Detection in Slavic Texts through Two-Stage Generative Reasoning

Xin Zou, Chuhan Wang, Dailin Li, Yanan Wang, Jian Wang

Gradient Flush at Slavic NLP 2025 Task: Leveraging Slavic BERT and Translation for Persuasion Techniques Classification

Sergey Senichev, Aleksandr Boriskin, Nikita Krayko, Daria Galimzianova

Rubic2: Ensemble Model for Russian Lemmatization

Ilia Afanasev, Anna Glazkova, Olga Lyashevskaya, Dmitry Morozov, Ivan Smal

Fine‐Tuned Transformers for Detection and Classification of Persuasion Techniques in Slavic Languages

Ekaterina Loginova

REPA: Russian Error Types Annotation for Evaluating Text Generation and Judgment Capabilities

Alexander Pugachev, Alena Fenogenova, Vladislav Mikhailov, Ekaterina Artemova

Gender Representation Bias Analysis in LLM-Generated Czech and Slovenian Texts

Erik Derner, Kristina Batistič

What Makes You CLIC: Detection of Croatian Clickbait Headlines

Marija Anđelić, Dominik Šipek, Laura Majer, Jan Šnajder

Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings

David Dukić, Ana Barić, Marko Čuljak, Josip Jukić, Martin Tutek

DIACU: A dataset for the DIAchronic analysis of Church Slavonic

Maria Cassese, Giovanni Puccetti, Marianna Napolitano, Andrea Esuli

When the Dictionary Strikes Back: A Case Study on Slovak Migration Location Term Extraction and NER via Rule-Based vs. LLM Methods

Miroslav Blšták, Jaroslav Kopčan, Marek Suppa, Samuel Harvan, Andrej Findor

Can information theory unravel the subtext in a Chekhovian short story?

J. Nathanael Philipp, Olav Mueller-Reichau, Matthias Irmer, Michael Richter, Max Kölbl

Bridging the Gap with RedSQL: A Russian Text-to-SQL Benchmark for Domain-Specific Applications

Irina Brodskaya, Elena Tutubalina, Oleg Somov

Adapting Definition Modeling for New Languages: A Case Study on Belarusian

Daniela Kazakouskaya, Timothee Mickus, Janine Siewert

Towards compact and efficient Slovak summarization models

Sebastian Petrik, Giang Nguyen

Towards Open Foundation Language Model and Corpus for Macedonian: A Low-Resource Language

Stefan Krsteski, Borjan Sazdov, Matea Tashkovska, Branislav Gerazov, Hristijan Gjoreski

Dialects, Topic Models, and Border Effects: The Rusyn Case

Achim Rabus, Yves Scherrer

PL-Guard: Benchmarking Language Model Safety for Polish

Aleksandra Krasnodebska, Karolina Seweryn, Szymon Łukasik, Wojciech Kusa

GigaEmbeddings — Efficient Russian Language Embedding Model

Egor Kolodin, Anastasia Ianina

Few-Shot Prompting, Full-Scale Confusion: Evaluating Large Language Models for Humor Detection in Croatian Tweets

Petra Bago, Nikola Bakarić

Identifying Filled Pauses in Speech Across South and West Slavic Languages

Nikola Ljubešić, Ivan Porupski, Peter Rupnik

VeReaFine: Iterative Verification Reasoning Refinement RAG for Hallucination-Resistant on Open-Ended Clinical QA

Pakawat Phasook, Rapepong Pitijaroonpong, Jiramet Kinchagawat, Amrest Chinkamol, Tossaporn Saengja

Team XSZ at BioLaySumm2025: Section-Wise Summarization, Retrieval-Augmented LLM, and Reinforcement Learning Fine-Tuning for Lay Summaries

Pengcheng Xu, Sicheng Shen, Jieli Zhou, Hongyi Xin

CUTN_Bio at BioLaySumm: Multi-Task Prompt Tuning with External Knowledge and Readability adaptation for Layman Summarization

Bhuvaneswari Sivagnanam, Rivo Krishnu C H, Princi Chauhan, Saranya Rajiakodi

KHU_LDI at BioLaySumm2025: Fine-tuning and Refinement for Lay Radiology Report Generation

Nur Alya Dania Binti Moriazi, Mujeen Sung

BDA-UC3M @ BioLaySumm: Efficient Lay Summarization with Small-Scale SoTA LLMs

Ilyass Ramzi, Isabel Bedmar

SUWMIT at BioLaySumm2025: Instruction-based Summarization with Contrastive Decoding

Priyam Basu, Jose Cols, Daniel Jarvis, Yongsin Park, Daniel Rodabaugh

MIRAGES at BioLaySumm2025: The Impact of Search Terms and Data Curation for Biomedical Lay Summarization

Benjamin Pong, J u - H u i Chen, Jonathan Jiang, Abimael Jimenez, Melody Vahadi

5cNLP at BioLaySumm2025: Prompts, Retrieval, and Multimodal Fusion

Juan Antonio Lossio-Ventura, Callum Chan, Arshitha Basavaraj, Hugo Alatrista-Salas, Francisco Pereira

LaySummX at BioLaySumm: Retrieval-Augmented Fine-Tuning for Biomedical Lay Summarization Using Abstracts and Retrieved Full-Text Context

Fan Lin, Dezhi Yu

TLPIQ at BioLaySumm: Hide and Seq, a FLAN-T5 Model for Biomedical Summarization

Melody Bechler, Carly Crowther, Emily Luedke, Natasha Schimka, Ibrahim Sharaf

RainCityNLP at BioLaySumm2025: Extract then Summarize at Home

Jen Wilson, Michael Pollack, Rachel Edwards, Avery Bellamy, Helen Salgi

Shared Task at Biolaysumm2025 : Extract then summarize approach Augmented with UMLS based Definition Retrieval for Lay Summary generation.

Aaradhya Gupta, Parameswari Krishnamurthy

MetninOzU at BioLaySumm2025: Text Summarization with Reverse Data Augmentation and Injecting Salient Sentences

Egecan Evgin, Ilknur Karadeniz, Olcay Taner Yıldız

AEHRC at BioLaySumm 2025: Leveraging T5 for Lay Summarisation of Radiology Reports

Wenjun Zhang, Shekhar Chandra, Bevan Koopman, Jason Dowling, Aaron Nicolson

DKITNLP at ArchEHR-QA 2025: A Retrieval Augmented LLM Pipeline for Evidence-Based Patient Question Answering

Provia Kadusabe, Abhishek Kaushik, Fiona Lawless

razreshili at ArchEHR-QA 2025: Contrastive Fine-Tuning for Retrieval-Augmented Biomedical QA

Arina Zemchyk

LIMICS at ArchEHR-QA 2025: Prompting LLMs Beats Fine-Tuned Embeddings

Adam Remaki, Armand Violle, Vikram Natraj, Étienne Guével, Akram Redjdal

SzegedAI at ArchEHR-QA 2025: Combining LLMs with traditional methods for grounded question answering

Soma Nagy, Bálint Nyerges, Zsombor Kispéter, Gábor Tóth, András Szlúka

CogStack-KCL-UCL at ArchEHR-QA 2025: Investigating Hybrid LLM Approaches for Grounded Clinical Question Answering

Shubham Agarwal, Thomas Searle, Kawsar Noor, Richard Dobson

DMIS Lab at ArchEHR-QA 2025: Evidence-Grounded Answer Generation for EHR-based QA via a Multi-Agent Framework

Hyeon Hwang, Hyeongsoon Hwang, Jongmyung Jung, Jaehoon Yun, Minju Song

UIC at ArchEHR-QA 2025: Tri-Step Pipeline for Reliable Grounded Medical Question Answering

Mohammad Arvan, Anuj Gautam, Mohan Zalake, Karl M. Kochendorfer

Neural at ArchEHR-QA 2025: Agentic Prompt Optimization for Evidence-Grounded Clinical Question Answering

Sai Prasanna Teja Reddy Bogireddy, Abrar Majeedi, Viswanath Gajjala, Zhuoyan Xu, Siddhant Rai

LAMAR at ArchEHR-QA 2025: Clinically Aligned LLM-Generated Few-Shot Learning for EHR-Grounded Patient Question Answering

Seksan Yoadsanit, Nopporn Lekuthai, Watcharitpol Sermsrisuwan, Titipat Achakulvisut

UTSamuel at ArchEHR-QA 2025: A Clinical Question Answering System for Responding to Patient Portal Messages Using Generative AI

Samuel Reason, Liwei Wang, Hongfang Liu, Ming Huang

UTSA-NLP at ArchEHR-QA 2025: Improving EHR Question Answering via Self-Consistency Prompting

Sara Shields-Menard, Zach Reimers, Joshua Gardner, David Perry, Anthony Rios

LAILab at ArchEHR-QA 2025: Test-time scaling for evidence selection in grounded question answering from electronic health records

Tuan Dung Le, Thanh Duong, Shohreh Haddadan, Behzad Jazayeri, Brandon Manley

KR Labs at ArchEHR-QA 2025: A Verbatim Approach for Evidence-Based Question Answering

Adam Kovacs, Paul Schmitt, Gabor Recski

UniBuc-SB at ArchEHR-QA 2025: A Resource-Constrained Pipeline for Relevance Classification and Grounded Answer Synthesis

Sebastian Balmus, Dura Bogdan, Ana Sabina Uban

heiDS at ArchEHR-QA 2025: From Fixed-k to Query-dependent-k for Retrieval Augmented Generation

Ashish Chouhan, Michael Gertz

WisPerMed at ArchEHR-QA 2025: A Modular, Relevance-First Approach for Grounded Question Answering on Eletronic Health Records

Jan-Henning Büns, Hendrik Damm, Tabea Pakull, Felix Nensa, Elisabeth Livingstone

CUNI-a at ArchEHR-QA 2025: Do we need Giant LLMs for Clinical QA?

Vojtech Lanz, Pavel Pecina

Loyola at ArchEHR-QA 2025: Exploring Unsupervised Attribution of Generated Text: Attention and Clustering-Based Methods

Rohan Sethi, Timothy A. Miller, Majid Afshar, Dmitriy Dligach

UNIBUC-SD at ArchEHR-QA 2025: Prompting Our Way to Clinical QA with Multi-Model Ensembling

Dragos Ghinea, Ștefania Rîncu

ArgHiTZ at ArchEHR-QA 2025: A Two-Step Divide and Conquer Approach to Patient Question Answering for Top Factuality

Adrian Cuadron Cortes, Aimar Sagasti, Maitane Urruela, Iker De La Iglesia, Ane García Domingo-aldama

Overview of the ArchEHR-QA 2025 Shared Task on Grounded Question Answering from Electronic Health Records

Sarvesh Soni, Soumya Gayen, Dina Demner-Fushman

SMAFIRA Shared Task at the BioNLP’2025 Workshop: Assessing the Similarity of the Research Goal

Mariana Neves, Iva Sovadinova, Susanne Fieberg, Celine Heinl, Diana Rubel

Overview of the ClinIQLink 2025 Shared Task on Medical Question-Answering

Brandon Colelough, Davis Bartels, Dina Demner-Fushman

Overview of the BioLaySumm 2025 Shared Task on Lay Summarization of Biomedical Research Articles and Radiology Reports

Chenghao Xiao, Kun Zhao, Xiao Wang, Siwei Wu, Sixing Yan

Virtual CRISPR: Can LLMs Predict CRISPR Screen Results?

Steven Song, Abdalla Abdrabou, Asmita Dabholkar, Kastan Day, Pavan Dharmoju

PetEVAL: A veterinary free text electronic health records benchmark

Sean Farrell, Alan Radford, Noura Al Moubayed, Peter-John Noble

Overcoming Data Scarcity in Named Entity Recognition: Synthetic Data Generation with Large Language Models

An Dao, Hiroki Teranishi, Yuji Matsumoto, Florian Boudin, Akiko Aizawa

MuCoS: Efficient Drug–Target Discovery via Multi-Context-Aware Sampling in Knowledge Graphs

Haji Gul, Abdul Ghani Naim, Ajaz Ahmad Bhat

Converting Annotated Clinical Cases into Structured Case Report Forms

Pietro Ferrazzi, Alberto Lavelli, Bernardo Magnini

Beyond Citations: Integrating Finding-Based Relations for Improved Biomedical Article Representations

Yuan Liang, Massimo Poesio, Roonak Rezvani

Questioning Our Questions: How Well Do Medical QA Benchmarks Evaluate Clinical Capabilities of Language Models?

Siun Kim, Hyung-Jin Yoon

Enhancing Antimicrobial Drug Resistance Classification by Integrating Sequence-Based and Text-Based Representations

Hyunwoo Yoo, Bahrad Sokhansanj, James Brown

CaseReportCollective: A Large-Scale LLM-Extracted Dataset for Structured Medical Case Reports

Xiao Yu Cindy Zhang, Melissa Fong, Wyeth Wasserman, Jian Zhu

Can Large Language Models Classify and Generate Antimicrobial Resistance Genes?

Hyunwoo Yoo, Haebin Shin, Gail Rosen

Effective Multi-Task Learning for Biomedical Named Entity Recognition

João Ruano, Gonçalo Correia, Leonor Barreiros, Afonso Mendes

LLMs as Medical Safety Judges: Evaluating Alignment with Human Annotation in Patient-Facing QA

Yella Diekmann, Chase Fensore, Rodrigo Carrillo-Larco, Eduard Castejon Rosales, Sakshi Shiromani

QoLAS: A Reddit Corpus of Health-Related Quality of Life Aspects of Mental Disorders

Lynn Greschner, Amelie Wührl, Roman Klinger

Prompting Large Language Models for Italian Clinical Reports: A Benchmark Study

Livia Lilli, Carlotta Masciocchi, Antonio Marchetti, Giovanni Arcuri, Stefano Patarnello

Improving Barrett’s Oesophagus Surveillance Scheduling with Large Language Models: A Structured Extraction Approach

Xinyue Zhang, Agathe Zecevic, Sebastian Zeki, Angus Roberts

A Retrieval-Based Approach to Medical Procedure Matching in Romanian

Andrei Niculae, Adrian Cosma, Emilian Radoi

Advancing Biomedical Claim Verification by Using Large Language Models with Better Structured Prompting Strategies

Siting Liang, Daniel Sonntag

Accelerating Cross-Encoders in Biomedical Entity Linking

Javier Sanz-Cruzado, Jake Lever

Error Detection in Medical Note through Multi Agent Debate

Abdine Maiga, Anoop Shah, Emine Yilmaz

Gender-Neutral Large Language Models for Medical Applications: Reducing Bias in PubMed Abstracts

Elizabeth Schaefer, Kirk Roberts

RadQA-DPO: A Radiology Question Answering System with Encoder-Decoder Models Enhanced by Direct Preference Optimization

Md Sultan Al Nahian, Ramakanth Kavuluru