ACL 2024

2,718 papers

An Empirical Study of Gendered Stereotypes in Emotional Attributes for Bangla in Multilingual Large Language Models

Jayanta Sadhu, Maneesha Saha, Rifat Shahriyar

Analysis of Annotator Demographics in Sexism Detection

Narjes Tahaei, Sabine Bergler

Whose wife is it anyway? Assessing bias against same-gender relationships in machine translation

Ian Stewart, Rada Mihalcea

Detecting and Mitigating LGBTQIA+ Bias in Large Norwegian Language Models

Selma Bergstrand, Björn Gambäck

Evaluating Gender Bias in Multilingual Multimodal AI Models: Insights from an Indian Context

Kshitish Ghate, Arjun Choudhry, Vanya Bannihatti Kumar

Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP

Vagrant Gautam, Arjun Subramonian, Anne Lauscher, Os Keyes

Sociodemographic Bias in Language Models: A Survey and Forward Path

Vipul Gupta, Pranav Narayanan Venkit, Shomir Wilson, Rebecca Passonneau

From ‘Showgirls’ to ‘Performers’: Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs

Marion Bartl, Susan Leavy

Is there Gender Bias in Dependency Parsing? Revisiting “Women’s Syntactic Resilience”

Paul Go, Agnieszka Faleńska

Beyond Binary Gender Labels: Revealing Gender Bias in LLMs through Gender-Neutral Name Predictions

Zhiwen You, HaeJin Lee, Shubhanshu Mishra, Sullam Jeoung, Apratim Mishra

Generating Gender Alternatives in Machine Translation

Sarthak Garg, Mozhdeh Gheini, Clara Emmanuel, Tatiana Likhomanenko, Qin Gao

Disagreeable, Slovenly, Honest and Un-named Women? Investigating Gender Bias in English Educational Resources by Extending Existing Gender Bias Taxonomies

Haotian Zhu, Kexin Gao, Fei Xia, Mari Ostendorf

Gender Bias in Turkish Word Embeddings: A Comprehensive Study of Syntax, Semantics and Morphology Across Domains

Duygu Altinok

Dissecting Biases in Relation Extraction: A Cross-Dataset Analysis on People’s Gender and Origin

Marco Stranisci, Pere-Lluís Huguet Cabot, Elisa Bassignana, Roberto Navigli

Investigating Gender Bias in STEM Job Advertisements

Malika Dikshit, Houda Bouamor, Nizar Habash

Towards Fairer NLP Models: Handling Gender Bias In Classification Tasks

Nasim Sobhani, Sarah Delany

What Can Go Wrong in Authorship Profiling: Cross-Domain Analysis of Gender and Age Prediction

Hongyu Chen, Michael Roth, Agnieszka Faleńska

Detecting Gender Discrimination on Actor Level Using Linguistic Discourse Analysis

Stefanie Urchs, Veronika Thurner, Matthias Aßenmacher, Christian Heumann, Stephanie Thiemichen

The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs

Aleix Sant, Carlos Escolano, Audrey Mash, Francesca De Luca Fornaciari, Maite Melero

On Shortcuts and Biases: How Finetuned Language Models Distinguish Audience-Specific Instructions in Italian and English

Nicola Fanton, Michael Roth

A Fairness Analysis of Human and AI-Generated Student Reflection Summaries

Bhiman Kumar Baghel, Arun Balajiee Lekshmi Narayanan, Michael Miller Yoder

An Explainable Approach to Understanding Gender Stereotype Text

Manuela Jeyaraj, Sarah Delany

We Don’t Talk About That: Case Studies on Intersectional Analysis of Social Bias in Large Language Models

Hannah Devinney, Jenny Björklund, Henrik Björklund

Do PLMs and Annotators Share the Same Gender Bias? Definition, Dataset, and Framework of Contextualized Gender Bias

Shucheng Zhu, Bingjie Du, Jishun Zhao, Ying Liu, Pengyuan Liu

A Parameter-Efficient Multi-Objective Approach to Mitigate Stereotypical Bias in Language Models

Yifan Wang, Vera Demberg

Zero-shot Cross-lingual POS Tagging for Filipino

Jimson Paulo Layacan, Isaiah Edri W. Flores, Katrina Bernice M. Tan, Ma. Regina E. Estuar, Jann Railey E. Montalan

Comparing Kaldi-Based Pipeline Elpis and Whisper for Čakavian Transcription

Austin Jones, Shulin Zhang, John Hale, Margaret Renwick, Zvjezdana Vrzic

Noise Be Gone: Does Speech Enhancement Distort Linguistic Nuances?

Iñigo Parra

A Comparative Analysis of Speaker Diarization Models: Creating a Dataset for German Dialectal Speech

Lea Fischbach

Leveraging Deep Learning to Shed Light on Tones of an Endangered Language: A Case Study of Moklen

Sireemas Maspong, Francesco Burroni, Teerawee Sukanchanon, Warunsiri Pornpottanamas, Pittayawat Pittayaporn

Documenting Endangered Languages with LangDoc: A Wordlist-Based System and A Case Study on Moklen

Piyapath T Spencer

User-Centered Design of Digital Tools for Sociolinguistic Studies in Under-Resourced Languages

Jonas Adler, Carsten Scholle, Daniel Buschek, Nicolo’ Brandizzi, Muhadj Adnan

ManWav: The First Manchu ASR Model

Jean Seo, Minha Kang, SungJoo Byun, Sangah Lee

The Parallel Corpus of Russian and Ruska Romani Languages

Kirill Koncha, Abina Kukanova, Kazakova Tatiana, Gloria Rozovskaya

Data Contamination Report from the 2024 CONDA Shared Task

Oscar Sainz, Iker García-Ferrero, Alon Jacovi, Jon Ander Campos, Yanai Elazar

A Taxonomy for Data Contamination in Large Language Models

Medha Palavalli, Amanda Bertsch, Matthew Gormley

Confounders in Instance Variation for the Analysis of Data Contamination

Behzad Mehrbakhsh, Dario Garigliotti, Fernando Martínez-Plumed, José Hernández-Orallo

Evaluating Chinese Large Language Models on Discipline Knowledge Acquisition via Memorization and Robustness Assessment

Chuang Liu, Renren Jin, Mark Steedman, Deyi Xiong

Improving Language Models for Emotion Analysis: Insights from Cognitive Science

Constant Bonard, Gustave Cortal

An Eye Opener Regarding Task-Based Text Gradient Saliency

Guojun Wu, Lena Bolliger, David Reich, Lena Jäger

LLMs’ morphological analyses of complex FST-generated Finnish words

Anssi Moisio, Mathias Creutz, Mikko Kurimo

How Useful is Context, Actually? Comparing LLMs and Humans on Discourse Marker Prediction

Emily Sadlier-Brown, Millie Lou, Miikka Silfverberg, Carla Kam

Diachronic change in verb usage statistics predicts differences in sentence processing across the lifespan

Ellis Cain, Rachel Ryskin

Evaluating Semantic Relations in Predicting Textual Labels for Images of Abstract and Concrete Concepts

Tarun Tater, Sabine Schulte im Walde, Diego Frassinelli

What does Kiki look like? Cross-modal associations between speech sounds and visual shapes in vision-and-language models

Tessa Verhoef, Kiana Shahrasbi, Tom Kouwenhoven

Evaluating Grammatical Well-Formedness in Large Language Models: A Comparative Study with Human Judgments

Zhuang Qiu, Xufeng Duan, Zhenguang Cai

Morphology Matters: Probing the Cross-linguistic Morphological Generalization Abilities of Large Language Models through a Wug Test

Dang Anh, Limor Raviv, Lukas Galke

How can large language models become more human?

Daphne Wang, Mehrnoosh Sadrzadeh, Miloš Stanojević, Wing-Yee Chow, Richard Breheny

Analysing and Validating Language Complexity Metrics Across South American Indigenous Languages

Felipe Serras, Miguel Carpi, Matheus Branco, Marcelo Finger

Daily auditory environments in French-speaking infants: A longitudinal dataset

Estelle Hervé, Clément François, Laurent Prevot

Evaluating Lexical Aspect with Large Language Models

Bolei Ma

Transformer Attention vs Human Attention in Anaphora Resolution

Anastasia Kozlova, Albina Akhmetgareeva, Aigul Khanova, Semen Kudriavtsev, Alena Fenogenova

Predict but Also Integrate: an Analysis of Sentence Processing Models for English and Hindi

Nina Delcaro, Luca Onnis, Raquel Alhama

Large language models fail to derive atypicality inferences in a human-like manner

Charlotte Kurch, Margarita Ryzhova, Vera Demberg

Do LLMs Agree with Humans on Emotional Associations to Nonsense Words?

Yui Miyakawa, Chihaya Matsuhira, Hirotaka Kato, Takatsugu Hirayama, Takahiro Komamizu

Hierarchical syntactic structure in human-like language models

Michael Wolfman, Donald Dunagan, Jonathan Brennan, John Hale

The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication

Tom Kouwenhoven, Max Peeperkorn, Bram van Dijk, Tessa Verhoef

Do large language models resemble humans in language use?

Zhenguang Cai, Xufeng Duan, David Haslett, Shuqi Wang, Martin Pickering

Locally Biased Transformers Better Align with Human Reading Times

Andrea de Varda, Marco Marelli

Evaluating Vision-Language Models on Bistable Images

Artemis Panagopoulou, Coby Melkin, Chris Callison-Burch

BAMBINO-LM: (Bilingual-)Human-Inspired Continual Pre-training of BabyLM

Zhewen Shen, Aditya Joshi, Ruey-Cheng Chen

Assessing the Effectiveness of GPT-4o in Climate Change Evidence Synthesis and Systematic Assessments: Preliminary Insights

Elphin Joe, Sai Koneru, Christine Kirchhoff

SDG target detection in environmental reports using Retrieval-augmented Generation with LLMs

Dario Garigliotti

Granular Analysis of Social Media Users’ Truthfulness Stances Toward Climate Change Factual Claims

Haiqi Zhang, Zhengyuan Zhu, Zeyu Zhang, Jacob Devasier, Chengkai Li

Aligning Unstructured Paris Agreement Climate Plans with Sustainable Development Goals

Daniel Spokoyny, Janelle Cai, Tom Corringham, Taylor Berg-Kirkpatrick

CLIMATELI: Evaluating Entity Linking on Climate Change Data

Shijia Zhou, Siyao Peng, Barbara Plank

Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs

Lokesh Mishra, Sohayl Dhibi, Yusik Kim, Cesar Berrospi Ramis, Shubham Gupta

Unlearning Climate Misinformation in Large Language Models

Michael Fore, Simranjit Singh, Chaehong Lee, Amritanshu Pandey, Antonios Anastasopoulos

Structuring Sustainability Reports for Environmental Standards with LLMs guided by Ontology

Aida Usmanova, Ricardo Usbeck

Challenges in End-to-End Policy Extraction from Climate Action Plans

Nupoor Gandhi, Tom Corringham, Emma Strubell

Large Scale Narrative Messaging around Climate Change: A Cross-Cultural Comparison

Haiqi Zhou, David G Hobson, Derek Ruths, Andrew Piper

LEAF: Predicting the Environmental Impact of Food Products based on their Name

Bas Krahmer

EnClaim: A Style Augmented Transformer Architecture for Environmental Claim Detection

Diya Saha, Manjira Sinha, Tirthankar Dasgupta

Envisioning NLP for intercultural climate communication

Steven Bird, Angelina Aquino, Ian Gumbula

Using LLMs to Build a Database of Climate Extreme Impacts

Ni Li, Shorouq Zahra, Mariana Brito, Clare Flynn, Olof Görnerup

Evaluating ChatNetZero, an LLM-Chatbot to Demystify Climate Pledges

Angel Hsu, Mason Laney, Ji Zhang, Diego Manya, Linda Farczadi

Decoding Climate Disagreement: A Graph Neural Network-Based Approach to Understanding Social Media Dynamics

Ruiran Su, Janet Pierrehumbert

Generative Debunking of Climate Misinformation

Francisco Zanartu, Yulia Otmakhova, John Cook, Lea Frermann

My Climate Advisor: An Application of NLP in Climate Adaptation for Agriculture

Vincent Nguyen, Sarvnaz Karimi, Willow Hallgren, Ashley Harkin, Mahesh Prakash

Informing climate risk analysis using textual information - A research agenda

Andreas Dimmelmeier, Hendrik Doll, Malte Schierholz, Emily Kormanyos, Maurice Fehr

Climate Policy Transformer: Utilizing NLP to track the coherence of Climate Policy Documents in the Context of the Paris Agreement

Prashant Singh, Erik Lehmann, Mark Tyrrell

Computational Language Documentation: Designing a Modular Annotation and Data Management Tool for Cross-cultural Applicability

Alexandra O’Neil, Daniel Swanson, Shobhana Chelliah

Are Generative Language Models Multicultural? A Study on Hausa Culture and Emotions using ChatGPT

Ibrahim Ahmad, Shiran Dudy, Resmi Ramachandranpillai, Kenneth Church

Sociocultural Considerations in Monitoring Anti-LGBTQ+ Content on Social Media

Sidney Wong

Do Multilingual Large Language Models Mitigate Stereotype Bias?

Shangrui Nie, Michael Fromm, Charles Welch, Rebekka Görge, Akbar Karimi

Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models?

Yuu Jinnai

CRAFT: Extracting and Tuning Cultural Instructions from the Wild

Bin Wang, Geyu Lin, Zhengyuan Liu, Chengwei Wei, Nancy Chen

Synchronizing Approach in Designing Annotation Guidelines for Multilingual Datasets: A COVID-19 Case Study Using English and Japanese Tweets

Kiki Ferawati, Wan Jou She, Shoko Wakamiya, Eiji Aramaki

Conformity, Confabulation, and Impersonation: Persona Inconstancy in Multi-Agent LLM Collaboration

Razan Baltaji, Babak Hemmatian, Lav Varshney

CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models

Yuhang Wang, Yanxu Zhu, Chao Kong, Shuyu Wei, Xiaoyuan Yi

Ctyun AI at BioLaySumm: Enhancing Lay Summaries of Biomedical Articles Through Large Language Models and Data Augmentation

Siyu Bao, Ruijing Zhao, Siqin Zhang, Jinghui Zhang, Weiyin Wang

HGP-NLP at BioLaySumm: Leveraging LoRA for Lay Summarization of Biomedical Research Articles using Seq2Seq Transformers

Hemang Malik, Gaurav Pradeep, Pratinav Seth

Eulerian at BioLaySumm: Preprocessing Over Abstract is All You Need

Satyam Modi, T Karthikeyan

Team YXZ at BioLaySumm: Adapting Large Language Models for Biomedical Lay Summarization

Jieli Zhou, Cheng Ye, Pengcheng Xu, Hongyi Xin

RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts

Yuelyu Ji, Zhuochun Li, Rui Meng, Sonish Sivarajkumar, Yanshan Wang

SINAI at BioLaySumm: Self-Play Fine-Tuning of Large Language Models for Biomedical Lay Summarisation

Mariia Chizhikova, Manuel Carlos Díaz-Galiano, L. Alfonso Ureña-López, María-Teresa Martín-Valdivia

AUTH at BioLaySumm 2024: Bringing Scientific Content to Kids

Loukritia Stefanou, Tatiana Passali, Grigorios Tsoumakas

Saama Technologies at BioLaySumm: Abstract based fine-tuned models with LoRA

Hwanmun Kim, Kamal raj Kanakarajan, Malaikannan Sankarasubbu

HULAT-UC3M at BiolaySumm: Adaptation of BioBART and Longformer models to summarizing biomedical documents

Adrian Gonzalez Sanchez, Paloma Martínez

WisPerMed at BioLaySumm: Adapting Autoregressive Large Language Models for Lay Summarization of Scientific Articles

Tabea Margareta Grace Pakull, Hendrik Damm, Ahmad Idrissi-Yaghir, Henning Schäfer, Peter A. Horn