ACL 2024

2,718 papers

How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?

Rheeya Uppaal, Yixuan Li, Junjie Hu

Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding

Xincan Feng, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe

Bridging the Gap: Transfer Learning from English PLMs to Malaysian English

MohanRaj Chanthran, Lay-Ki Soon, Huey Fang Ong, Bhawani Selvaretnam

IT-Tuning : Parameter Efficient Information Token Tuning for Language Model

Jungu Kim, Hyeoncheol Kim

Prior Knowledge-Guided Adversarial Training

Lis Pereira, Fei Cheng, Wan Jou She, Masayuki Asahara, Ichiro Kobayashi

Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias.

Reda Igbaria, Yonatan Belinkov

Relevance-aware Diverse Query Generation for Out-of-domain Text Ranking

Jia-Huei Ju, Huck Chao-Han Yang, Szu-Wei Fu, Ming-Feng Tsai, Chuan-Ju Wang

DomainInv: Domain Invariant Fine Tuning and Adversarial Label Correction For Unsupervised QA Domain Adaptation

Anant Khandelwal

Learning Contextualized Box Embeddings with Prototypical Networks

Kohei Oda, Kiyoaki Shirai, Natthawut Kertkeidkachorn

A Privacy-preserving Approach to Ingest Knowledge from Proprietary Web-based to Locally Run Models for Medical Progress Note Generation

Sarvesh Soni, Dina Demner-Fushman

Reinforcement Learning-Driven LLM Agent for Automated Attacks on LLMs

Xiangwen Wang, Jie Peng, Kaidi Xu, Huaxiu Yao, Tianlong Chen

PrivaT5: A Generative Language Model for Privacy Policies

Mohammad Zoubi, Santosh T.y.s.s, Edgar Rosas, Matthias Grabmair

Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models

Adel Elmahdy, Ahmed Salem

Improving Authorship Privacy: Adaptive Obfuscation with the Dynamic Selection of Techniques

Hemanth Kandula, Damianos Karakos, Haoling Qiu, Brian Ulicny

Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks

Arij Riabi, Menel Mahamdi, Virginie Mouilleron, Djamé Seddah

Can LLMs get help from other LLMs without revealing private information?

Florian Hartmann, Duc-Hieu Tran, Peter Kairouz, Victor Cărbune, Blaise Aguera Y Arcas

Smart Lexical Search for Label Flipping Adversial Attack

Alberto Gutiérrez-Megías, Salud María Jiménez-Zafra, L. Alfonso Ureña, Eugenio Martínez-Cámara

PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs

Dan Peng, Zhihui Fu, Jun Wang

Anonymization Through Substitution: Words vs Sentences

Vasco Alves, Vitor Rolla, João Alveira, David Pissarra, Duarte Pereira

Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study

David Pissarra, Isabel Curioso, João Alveira, Duarte Pereira, Bruno Ribeiro

PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding

Krishna kanth Nakka, Ahmed Frikha, Ricardo Mendes, Xue Jiang, Xuebing Zhou

Preset-Voice Matching for Privacy Regulated Speech-to-Speech Translation Systems

Daniel Platnick, Bishoy Abdelnour, Eamon Earl, Rahul Kumar, Zahra Rezaei

A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy

Stephen Meisenbacher, Maulik Chevli, Florian Matthes

Protecting Privacy in Classifiers by Token Manipulation

Re’em Harel, Yair Elboher, Yuval Pinter

Characterizing Stereotypical Bias from Privacy-preserving Pre-Training

Stefan Arnold, Rene Gröbner, Annika Schreiner

Don’t forget private retrieval: distributed private similarity search for large language models

Guy Zyskind, Tobin South, Alex Pentland

Noisy Neighbors: Efficient membership inference attacks against LLMs

Filippo Galli, Luca Melis, Tommaso Cucinotta

From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting

Nuo Chen, Hongguang Li, Baoyuan Wang, Jia Li

LOGIC-LM++: Multi-Step Refinement for Symbolic Formulations

Shashank Kirtania, Priyanshu Gupta, Arjun Radhakrishna

SummEQuAL: Summarization Evaluation via Question Answering using Large Language Models

Junyuan Liu, Zhengyan Shi, Aldo Lipani

Applying RLAIF for Code Generation with API-usage in Lightweight LLMs

Sujan Dutta, Sayantan Mahinder, Raviteja Anantha, Bortik Bandyopadhyay

Towards A Unified View of Answer Calibration for Multi-Step Reasoning

Shumin Deng, Ningyu Zhang, Nay Oo, Bryan Hooi

PROC2PDDL: Open-Domain Planning Representations from Texts

Tianyi Zhang, Li Zhang, Zhaoyi Hou, Ziyu Wang, Yuling Gu

GraphReason: Enhancing Reasoning Capabilities of Large Language Models through A Graph-Based Verification Approach

Lang Cao

Chamain: Harmonizing Character Persona Integrity with Domain-Adaptive Knowledge in Dialogue Generation

Seung-Moo Yang, Jeehyun Lee, Won Ik Cho

Efficient Dynamic Hard Negative Sampling for Dialogue Selection

Janghoon Han, Dongkyu Lee, Joongbo Shin, Hyunkyung Bae, Jeesoo Bang

Engineering Conversational Search Systems: A Review of Applications, Architectures, and Functional Components

Phillip Schneider, Wessel Poelman, Michael Rovatsos, Florian Matthes

Evaluating Robustness of Open Dialogue Summarization Models in the Presence of Naturally Occurring Variations

Ankita Gupta, Chulaka Gunasekara, Hui Wan, Jatin Ganhotra, Sachindra Joshi

Revealing User Familiarity Bias in Task-Oriented Dialogue via Interactive Evaluation

Takyoung Kim, Jamin Shin, Young-Ho Kim, Sanghwan Bae, Sungdong Kim

Exploring Description-Augmented Dataless Intent Classification

Ruoyu Hu, Foaad Khosmood, Abbas Edalat

On the Benchmarking of LLMs for Open-Domain Dialogue Evaluation

John Mendonça, Alon Lavie, Isabel Trancoso

Detecting Narrative Patterns in Biblical Hebrew and Greek

Hope McGovern, Hale Sirin, Tom Lippincott, Andrew Caines

Exploring intertextuality across the Homeric poems through language models

Maria Konstantinidou, John Pavlopoulos, Elton Barker

Leveraging Part-of-Speech Tagging for Enhanced Stylometry of Latin Literature

Sarah Li Chen, Patrick J. Burns, Thomas J. Bolt, Pramit Chaudhuri, Joseph P. Dexter

Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy

Priyanka Mandikal

The Metronome Approach to Sanskrit Meter: Analysis for the Rigveda

Yuzuki Tsukagoshi, Ikki Ohmukai

Latin Treebanks in Review: An Evaluation of Morphological Tagging Across Time

Marisa Hudspeth, Brendan O’Connor, Laure Thompson

SumTablets: A Transliteration Dataset of Sumerian Tablets

Cole Simmons, Richard Diehl Martinez, Dan Jurafsky

UD-ETCSUX: Toward a Better Understanding of Sumerian Syntax

Kenan Jiang, Adam Anderson

A deep learning pipeline for the palaeographical dating of ancient Greek papyrus fragments

Graham West, Matthew I. Swindall, James H. Brusuelas, Francesca Maltomini, Marius Gerhardt

Adapting transformer models to morphological tagging of two highly inflectional languages: a case study on Ancient Greek and Latin

Alek Keersmaekers, Wouter Mercelis

“Gotta catch ‘em all!”: Retrieving people in Ancient Greek texts combining transformer models and domain knowledge

Marijke Beersmans, Alek Keersmaekers, Evelien de Graaf, Tim Van de Cruys, Mark Depauw

Towards Context-aware Normalization of Variant Characters in Classical Chinese Using Parallel Editions and BERT

Florian Kessler

CuReD: Deep Learning Optical Character Recognition for Cuneiform Text Editions and Legacy Materials

Shai Gordin, Morris Alper, Avital Romach, Luis Saenz Santos, Naama Yochai

Restoring Mycenaean Linear B ‘A&B’ series tablets using supervised and transfer learning

Katerina Papavassileiou, Dimitrios Kosmopoulos

Coarse-to-Fine Generative Model for Oracle Bone Inscriptions Inpainting

Shibin Wang, Wenjie Guo, Yubo Xu, Dong Liu, Xueshan Li

UFCNet: Unsupervised Network based on Fourier transform and Convolutional attention for Oracle Character Recognition

Yanan Zhou, Guoqi Liu, Yiping Yang, Linyuan Ru, Dong Liu

Neural Lemmatization and POS-tagging models for Coptic, Demotic and Earlier Egyptian

Aleksi Sahala, Eliese-Sophia Lincke

Deep Learning Meets Egyptology: a Hieroglyphic Transformer for Translating Ancient Egyptian

Mattia De Cao, Nicola De Cao, Angelo Colonna, Alessandro Lenci

Lacuna Language Learning: Leveraging RNNs for Ranked Text Completion in Digitized Coptic Manuscripts

Lauren Levine, Cindy Li, Lydia Bremer-McCollum, Nicholas Wagner, Amir Zeldes

A new machine-actionable corpus for ancient text restoration

Will Fitzgerald, Justin Barney

Long Unit Word Tokenization and Bunsetsu Segmentation of Historical Japanese

Hiroaki Ozaki, Kanako Komiya, Masayuki Asahara, Toshinobu Ogiso

Classifier identification in Ancient Egyptian as a low-resource sequence-labelling task

Dmitry Nikolaev, Jorke Grotenhuis, Haleli Harel, Orly Goldwasser

Classification of Paleographic Artifacts at Scale: Mitigating Confounds and Distribution Shift in Cuneiform Tablet Dating

Danlu Chen, Jiahe Tian, Yufei Weng, Taylor Berg-Kirkpatrick, Jacobo Myerston

Predicate Sense Disambiguation for UMR Annotation of Latin: Challenges and Insights

Federica Gamba

MsBERT: A New Model for the Reconstruction of Lacunae in Hebrew Manuscripts

Avi Shmidman, Ometz Shmidman, Hillel Gershuni, Moshe Koppel

Challenging Error Correction in Recognised Byzantine Greek

John Pavlopoulos, Vasiliki Kougia, Esteban Garces Arias, Paraskevi Platanou, Stepan Shabalin

Irish-based Large Language Model with Extreme Low-Resource Settings in Machine Translation

Khanh-Tung Tran, Barry O’Sullivan, Hoang Nguyen

Rosetta Balcanica: Deriving a “Gold Standard” Neural Machine Translation (NMT) Parallel Dataset from High-Fidelity Resources for Western Balkan Languages

Edmon Begoli, Maria Mahbub, Sudarshan Srinivasan

Benchmarking Low-Resource Machine Translation Systems

Ana Silva, Nikit Srivastava, Tatiana Moteu Ngoli, Michael Röder, Diego Moussallem

Finetuning End-to-End Models for Estonian Conversational Spoken Language Translation

Tiia Sildam, Andra Velve, Tanel Alumäe

Adopting Ensemble Learning for Cross-lingual Classification of Crisis-related Text On Social Media

Shareefa Al Amer, Mark Lee, Phillip Smith

Learning-From-Mistakes Prompting for Indigenous Language Translation

You Cheng Liao, Chen-Jui Yu, Chi-Yi Lin, He-Feng Yun, Yen-Hsiang Wang

AGE: Amharic, Ge’ez and English Parallel Dataset

Henok Biadglign Ademtew, Mikiyas Girma Birbo

Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin

Samuel Frontull, Georg Moser

Machine Translation Through Cultural Texts: Can Verses and Prose Help Low-Resource Indigenous Models?

Antoine Cadotte, Nathalie André, Fatiha Sadat

Tokenisation in Machine Translation Does Matter: The impact of different tokenisation approaches for Maltese

Kurt Abela, Kurt Micallef, Marc Tanti, Claudia Borg

Super donors and super recipients: Studying cross-lingual transfer between high-resource and low-resource languages

Vitaly Protasov, Elisei Stakovskii, Ekaterina Voloshina, Tatiana Shavrina, Alexander Panchenko

Enhancing Turkish Word Segmentation: A Focus on Borrowed Words and Invalid Morpheme

Soheila Behrooznia, Ebrahim Ansari, Zdeněk Žabokrtský

Leveraging Mandarin as a Pivot Language for Low-Resource Machine Translation between Cantonese and English

King Yiu Suen, Rudolf Chow, Albert Y.S. Lam

Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study

Aniruddha Roy, Pretam Ray, Ayush Maheshwari, Sudeshna Sarkar, Pawan Goyal

Low-Resource Cross-Lingual Summarization through Few-Shot Learning with Large Language Models

Gyutae Park, Seojin Hwang, Hwanhee Lee

Linguistically Informed Transformers for Text to American Sign Language Translation

Abhishek Bharadwaj Varanasi, Manjira Sinha, Tirthankar Dasgupta, Charudatta Jadhav

Challenges in Urdu Machine Translation

Abdul Basit, Abdul Hameed Azeemi, Agha Ali Raza

KpopMT: Translation Dataset with Terminology for Kpop Fandom

JiWoo Kim, Yunsu Kim, JinYeong Bak

Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages

Zhuoyuan Mao, Yen Yu

A Few-shot Learning Approach for Lexical Semantic Change Detection Using GPT-4

Zhengfei Ren, Annalina Caputo, Gareth Jones

Exploring Sound Change Over Time: A Review of Computational and Human Perception

Siqi He, Wei Zhao

Deep-change at AXOLOTL-24: Orchestrating WSD and WSI Models for Semantic Change Modeling

Denis Kokosinskii, Mikhail Kuklin, Nikolay Arefyev

Towards an Onomasiological Study of Lexical Semantic Change Through the Induction of Concepts

Bastien Lietard, Mikaela Keller, Pascal Denis

Can political dogwhistles be predicted by distributional methods for analysis of lexical semantic change?

Max Boholm, Björn Rönnerstrand, Ellen Breitholtz, Robin Cooper, Elina Lindgren

Complexity and Indecision: A Proof-of-Concept Exploration of Lexical Complexity and Lexical Semantic Change

David Alfter

EtymoLink: A Structured English Etymology Dataset

Yuan Gao, Weiwei Sun

TartuNLP @ AXOLOTL-24: Leveraging Classifier Output for New Sense Detection in Lexical Semantics

Aleksei Dorkin, Kairit Sirts

Towards a Complete Solution to Lexical Semantic Change: an Extension to Multiple Time Periods and Diachronic Word Sense Induction

Francesco Periti, Nina Tahmasebi

Improving Word Usage Graphs with Edge Induction

Bill Noble, Francesco Periti, Nina Tahmasebi

AXOLOTL’24 Shared Task on Multilingual Explainable Semantic Change Modeling

Mariia Fedorova, Timothee Mickus, Niko Partanen, Janine Siewert, Elena Spaziani

A Feature-Based Approach to Annotate the Syntax of Ancient Chinese

Chenrong Zhao

Towards a GoldenHymns Dataset for Studying Diachronic Trends in 19th Century Danish Religious Hymns

Ea Lindhardt Overgaard, Pascale Feldkamp, Yuri Bizzoni

Presence or Absence: Are Unknown Word Usages in Dictionaries?

Xianghe Ma, Dominik Schlechtweg, Wei Zhao