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EMNLP 2024

2,910 papers

Measuring the Groundedness of Legal Question-Answering Systems

Dietrich Trautmann, Natalia Ostapuk, Quentin Grail, Adrian Pol, Guglielmo Bonifazi

Algorithm for Automatic Legislative Text Consolidation

Matias Etcheverry, Thibaud Real, Pauline Chavallard

Attributed Question Answering for Preconditions in the Dutch Law

Felicia Redelaar, Romy Van Drie, Suzan Verberne, Maaike De Boer

Enhancing Contract Negotiations with LLM-Based Legal Document Comparison

Savinay Narendra, Kaushal Shetty, Adwait Ratnaparkhi

Automated Anonymization of Parole Hearing Transcripts

Abed Itani, Wassiliki Siskou, Annette Hautli-Janisz

Information Extraction for Planning Court Cases

Drish Mali, Rubash Mali, Claire Barale

The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunal

Huiyuan Xie, Felix Steffek, Joana De Faria, Christine Carter, Jonathan Rutherford

Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models

Shubham Kumar Nigam, Aniket Deroy, Subhankar Maity, Arnab Bhattacharya

Summarizing Long Regulatory Documents with a Multi-Step Pipeline

Mika Sie, Ruby Beek, Michiel Bots, Sjaak Brinkkemper, Albert Gatt

LeGen: Complex Information Extraction from Legal sentences using Generative Models

Chaitra C R, Sankalp Kulkarni, Sai Rama Akash Varma Sagi, Shashank Pandey, Rohit Yalavarthy

Findings of the 2nd Shared Task on Multi-lingual Multi-task Information Retrieval at MRL 2024

Francesco Tinner, Raghav Mantri, Mammad Hajili, Chiamaka Chukwuneke, Dylan Massey

CUNI and LMU Submission to the MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval

Katharina Hämmerl, Andrei-Alexandru Manea, Gianluca Vico, Jindřich Helcl, Jindřich Libovický

Generalization Measures for Zero-Shot Cross-Lingual Transfer

Saksham Bassi, Duygu Ataman, Kyunghyun Cho

Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrieval

Qiuhai Zeng, Zimeng Qiu, Dae Yon Hwang, XIN HE, William M. Campbell

Leveraging LLMs for Translating and Classifying Mental Health Data

Konstantinos Skianis, A. Seza Doğruöz, John Pavlopoulos

Community OSCAR: A Community Effort for Multilingual Web Data

Manuel Brack, Malte Ostendorff, Pedro Ortiz Suarez, Jose Javier Saiz, Iñaki Lacunza Castilla

Evaluating Multilingual Long-Context Models for Retrieval and Reasoning

Ameeta Agrawal, Andy Dang, Sina Bagheri Nezhad, Rhitabrat Pokharel, Russell Scheinberg

Leveraging Adapters for Improved Cross-lingual Transfer for Low-Resource Creole MT

Marcell Fekete, Ernests Lavrinovics, Nathaniel Romney Robinson, Heather Lent, Raj Dabre

Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer

Haeji Jung, Changdae Oh, Jooeon Kang, Jimin Sohn, Kyungwoo Song

[RETRACTED] Vikhr: Constructing a State-of-the-art Bilingual Open-Source Instruction-Following Large Language Model for Russian

Aleksandr Nikolich, Konstantin Korolev, Sergei Bratchikov, Igor Kiselev, Artem Shelmanov

Parameter-efficient Adaptation of Multilingual Multimodal Models for Low-resource ASR

Abhishek Gupta, Amruta Parulekar, Sameep Chattopadhyay, Preethi Jyothi

Jina-ColBERT-v2: A General-Purpose Multilingual Late Interaction Retriever

Rohan Jha, Bo Wang, Michael Günther, Georgios Mastrapas, Saba Sturua

Gender-specific Machine Translation with Large Language Models

Eduardo Sánchez, Pierre Andrews, Pontus Stenetorp, Mikel Artetxe, Marta R. Costa-jussà

Recipe for Zero-shot POS Tagging: Is It Useful in Realistic Scenarios?

Zeno Vandenbulcke, Lukas Vermeire, Miryam de Lhoneux

Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization

Alexandra Chronopoulou, Jonas Pfeiffer, Joshua Maynez, Xinyi Wang, Sebastian Ruder

SambaLingo: Teaching Large Language Models New Languages

Zoltan Csaki, Bo Li, Jonathan Lingjie Li, Qiantong Xu, Pian Pawakapan

OmniDialog: A Multimodal Benchmark for Generalization Across Text, Visual, and Audio Modalities

Anton Razzhigaev, Maxim Kurkin, Elizaveta Goncharova, Irina Abdullaeva, Anastasia Lysenko

Investigating the Generalizability of Pretrained Language Models across Multiple Dimensions: A Case Study of NLI and MRC

Ritam Dutt, Sagnik Ray Choudhury, Varun Venkat Rao, Carolyn Rose, V.G.Vinod Vydiswaran

CHIE: Generative MRC Evaluation for in-context QA with Correctness, Helpfulness, Irrelevancy, and Extraneousness Aspects

Wannaphong Phatthiyaphaibun, Surapon Nonesung, Peerat Limkonchotiwat, Can Udomcharoenchaikit, Jitkapat Sawatphol

MultiPragEval: Multilingual Pragmatic Evaluation of Large Language Models

Dojun Park, Jiwoo Lee, Seohyun Park, Hyeyun Jeong, Youngeun Koo

MLissard: Multilingual Long and Simple Sequential Reasoning Benchmarks

Mirelle Candida Bueno, Roberto Lotufo, Rodrigo Frassetto Nogueira

MMLU-SR: A Benchmark for Stress-Testing Reasoning Capability of Large Language Models

Wentian Wang, Sarthak Jain, Paul Kantor, Jacob Feldman, Lazaros Gallos

Automated test generation to evaluate tool-augmented LLMs as conversational AI agents

Samuel Arcadinho, David Oliveira Aparicio, Mariana S. C. Almeida

From Language to Pixels: Task Recognition and Task Learning in LLMs

Janek Falkenstein, Carolin M. Schuster, Alexander H. Berger, Georg Groh

Generative Approaches to Event Extraction: Survey and Outlook

Étienne Simon, Helene Olsen, Huiling You, Samia Touileb, Lilja Øvrelid

Reasoning and Tools for Human-Level Forecasting

Elvis Hsieh, Preston Fu, Jonathan Chen

MUMOSA, Interactive Dashboard for MUlti-MOdal Situation Awareness

Stephanie M. Lukin, Shawn Bowser, Reece Suchocki, Douglas Summers-Stay, Francis Ferraro

An Incremental Clustering Baseline for Event Detection on Twitter

Marjolaine Ray, Qi Wang, Frédérique Mélanie-Becquet, Thierry Poibeau, Béatrice Mazoyer

BERTrend: Neural Topic Modeling for Emerging Trends Detection

Allaa Boutaleb, Jérôme Picault, Guillaume Grosjean

RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models

Mohammed Abdul Khaliq, Paul Yu-Chun Chang, Mingyang Ma, Bernhard Pflugfelder, Filip Miletić

Contrastive Learning to Improve Retrieval for Real-World Fact Checking

Aniruddh Sriram, Fangyuan Xu, Eunsol Choi, Greg Durrett

AMREx: AMR for Explainable Fact Verification

Chathuri Jayaweera, Sangpil Youm, Bonnie J Dorr

Fast Evidence Extraction for Grounded Language Model Outputs

Pranav Mani, Davis Liang, Zachary Chase Lipton

Improving Explainable Fact-Checking via Sentence-Level Factual Reasoning

Francielle Vargas, Isadora Salles, Diego Alves, Ameeta Agrawal, Thiago A. S. Pardo

Streamlining Conformal Information Retrieval via Score Refinement

Yotam Intrator, Regev Cohen, Ori Kelner, Roman Goldenberg, Ehud Rivlin

Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis

Agam Shah, Arnav Hiray, Pratvi Shah, Arkaprabha Banerjee, Anushka Singh

GProofT: A Multi-dimension Multi-round Fact Checking Framework Based on Claim Fact Extraction

Jiayu Liu, Junhao Tang, Hanwen Wang, Baixuan Xu, Haochen Shi

InFact: A Strong Baseline for Automated Fact-Checking

Mark Rothermel, Tobias Braun, Marcus Rohrbach, Anna Rohrbach

Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs

Ronit Singal, Pransh Patwa, Parth Patwa, Aman Chadha, Amitava Das

Zero-Shot Learning and Key Points Are All You Need for Automated Fact-Checking

Mohammad Ghiasvand Mohammadkhani, Ali Ghiasvand Mohammadkhani, Hamid Beigy

Dunamu-ml’s Submissions on AVERITEC Shared Task

Heesoo Park, Dongjun Lee, Jaehyuk Kim, Choongwon Park, Changhwa Park

Improving Evidence Retrieval on Claim Verification Pipeline through Question Enrichment

Svetlana Churina, Anab Maulana Barik, Saisamarth Rajesh Phaye

UHH at AVeriTeC: RAG for Fact-Checking with Real-World Claims

Özge Sevgili, Irina Nikishina, Seid Muhie Yimam, Martin Semmann, Chris Biemann

RAG-Fusion Based Information Retrieval for Fact-Checking

Yuki Momii, Tetsuya Takiguchi, Yasuo Ariki

The Automated Verification of Textual Claims (AVeriTeC) Shared Task

Michael Schlichtkrull, Yulong Chen, Chenxi Whitehouse, Zhenyun Deng, Mubashara Akhtar

Adapting LLM Predictions in In-Context Learning with Data Priors

Javier Chiyah-Garcia, Prasoon Goyal, Michael Johnston, Reza Ghanadan

E-Commerce Product Categorization with LLM-based Dual-Expert Classification Paradigm

Zhu Cheng, Wen Zhang, Chih-Chi Chou, You-Yi Jau, Archita Pathak

LLM-as-a-tutor in EFL Writing Education: Focusing on Evaluation of Student-LLM Interaction

Jieun Han, Haneul Yoo, Junho Myung, Minsun Kim, Hyunseung Lim

Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers

Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Bahareh Sarrafzadeh