NAACL 2024

1,282 papers

ZhuJiu-Knowledge: A Fairer Platform for Evaluating Multiple Knowledge Types in Large Language Models

Pengfan Du, Sirui Liang, Baoli Zhang, Pengfei Cao, Yubo Chen

AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents

Luca Gioacchini, Giuseppe Siracusano, Davide Sanvito, Kiril Gashteovski, David Friede

FastFit: Fast and Effective Few-Shot Text Classification with a Multitude of Classes

Asaf Yehudai, Elron Bandel

Newspaper Signaling for Crisis Prediction

Prajvi Saxena, Sabine Janzen, Wolfgang Maass

pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

Zhengxuan Wu, Atticus Geiger, Aryaman Arora, Jing Huang, Zheng Wang

Concept Over Time Analysis: Unveiling Temporal Patterns for Qualitative Data Analysis

Tim Fischer, Florian Schneider, Robert Geislinger, Florian Helfer, Gertraud Koch

RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs

Bowen Tan, Yun Zhu, Lijuan Liu, Hongyi Wang, Yonghao Zhuang

DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering

Alex Nguyen, Zilong Wang, Jingbo Shang, Dheeraj Mekala

LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models

SHIZHE DIAO, Rui Pan, Hanze Dong, Kashun Shum, Jipeng Zhang

QueryExplorer: An Interactive Query Generation Assistant for Search and Exploration

Kaustubh Dhole, Shivam Bajaj, Ramraj Chandradevan, Eugene Agichtein

BeLeaf: Belief Prediction as Tree Generation

John Murzaku, Owen Rambow

ATLAS: A System for PDF-centric Human Interaction Data Collection

Alexa Siu, Zichao Wang, Joshua Hoeflich, Naman Kapasi, Ani Nenkova

OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs

Patrick Haller, Ansar Aynetdinov, Alan Akbik

jp-evalb: Robust Alignment-based PARSEVAL Measures

Jungyeul Park, Junrui Wang, Eunkyul Leah Jo, Angela Yoonseo Park

Edu-ConvoKit: An Open-Source Library for Education Conversation Data

Rose Wang, Dorottya Demszky

RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization

Seonglae Cho, Myungha Jang, Jinyoung Yeo, Dongha Lee

DIALIGHT: Lightweight Multilingual Development and Evaluation of Task-Oriented Dialogue Systems with Large Language Models

Songbo Hu, Xiaobin Wang, Moy Yuan, Anna Korhonen, Ivan Vulić

EdTec-QBuilder: A Semantic Retrieval Tool for Assembling Vocational Training Exams in German Language

Alonso Palomino, Andreas Fischer, Jakub Kuzilek, Jarek Nitsch, Niels Pinkwart

Low-code LLM: Graphical User Interface over Large Language Models

Yuzhe Cai, Shaoguang Mao, Wenshan Wu, Zehua Wang, Yaobo Liang

TOPICAL: TOPIC Pages AutomagicaLly

John Giorgi, Amanpreet Singh, Doug Downey, Sergey Feldman, Lucy Wang

Breaking the Language Barrier: Can Direct Inference Outperform Pre-Translation in Multilingual LLM Applications?

Yotam Intrator, Matan Halfon, Roman Goldenberg, Reut Tsarfaty, Matan Eyal

Order-Based Pre-training Strategies for Procedural Text Understanding

Abhilash Nandy, Yash Kulkarni, Pawan Goyal, Niloy Ganguly

On Narrative Question Answering Skills

Emil Kalbaliyev, Kairit Sirts

Improved Text Emotion Prediction Using Combined Valence and Arousal Ordinal Classification

Michail Mitsios, Georgios Vamvoukakis, Georgia Maniati, Nikolaos Ellinas, Georgios Dimitriou

DoubleLingo: Causal Estimation with Large Language Models

Marko Veljanovski, Zach Wood-Doughty

GuyLingo: The Republic of Guyana Creole Corpora

Christopher Clarke, Roland Daynauth, Jason Mars, Charlene Wilkinson, Hubert Devonish

Trusting Your Evidence: Hallucinate Less with Context-aware Decoding

Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer

Language-Independent Representations Improve Zero-Shot Summarization

Vladimir Solovyev, Danni Liu, Jan Niehues

MuLan: A Study of Fact Mutability in Language Models

Constanza Fierro, Nicolas Garneau, Emanuele Bugliarello, Yova Kementchedjhieva, Anders Søgaard

Improving Factuality in Clinical Abstractive Multi-Document Summarization by Guided Continued Pre-training

Ahmed Elhady, Khaled Elsayed, Eneko Agirre, Mikel Artetxe

Unveiling the Magic: Investigating Attention Distillation in Retrieval-Augmented Generation

Zizhong Li, Haopeng Zhang, Jiawei Zhang

MEMORY-VQ: Compression for Tractable Internet-Scale Memory

Yury Zemlyanskiy, Michiel De Jong, Luke Vilnis, Santiago Ontanon, William Cohen

InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis

Kevin Scaria, Himanshu Gupta, Siddharth Goyal, Saurabh Sawant, Swaroop Mishra

Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification

Kotaro Aono, Ryohei Sasano, Koichi Takeda

Arithmetic Reasoning with LLM: Prolog Generation & Permutation

Xiaocheng Yang, Bingsen Chen, Yik-cheung Tam

LifeTox: Unveiling Implicit Toxicity in Life Advice

Minbeom Kim, Jahyun Koo, Hwanhee Lee, Joonsuk Park, Hwaran Lee

Removing RLHF Protections in GPT-4 via Fine-Tuning

Qiusi Zhan, Richard Fang, Rohan Bindu, Akul Gupta, Tatsunori Hashimoto

Diverse Perspectives, Divergent Models: Cross-Cultural Evaluation of Depression Detection on Twitter

Nuredin Ali Abdelkadir, Charles Zhang, Ned Mayo, Stevie Chancellor

Efficient Sample-Specific Encoder Perturbations

Yassir Fathullah, Mark Gales

The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation

Evgeniia Tokarchuk, Vlad Niculae

A diverse Multilingual News Headlines Dataset from around the World

Felix Leeb, Bernhard Schölkopf

Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning

Philipp Borchert, Jochen De Weerdt, Marie-Francine Moens

The Impact of Language on Arithmetic Proficiency: A Multilingual Investigation with Cross-Agent Checking Computation

Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao

CPopQA: Ranking Cultural Concept Popularity by LLMs

Ming Jiang, Mansi Joshi

Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion

Smriti Singh, Cornelia Caragea, Junyi Jessy Li

Lifelong Event Detection with Embedding Space Separation and Compaction

Chengwei Qin, Ruirui Chen, Ruochen Zhao, Wenhan Xia, Shafiq Joty

Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models

Tingyu Xie, Qi Li, Yan Zhang, Zuozhu Liu, Hongwei Wang

Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts

Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang

A Continued Pretrained LLM Approach for Automatic Medical Note Generation

Dong Yuan, Eti Rastogi, Gautam Naik, Sree Prasanna Rajagopal, Sagar Goyal

Do Multilingual Language Models Think Better in English?

Julen Etxaniz, Gorka Azkune, Aitor Soroa, Oier Lopez de Lacalle, Mikel Artetxe

Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language Resamplers

Georgios Pantazopoulos, Alessandro Suglia, Oliver Lemon, Arash Eshghi

Is Prompt Transfer Always Effective? An Empirical Study of Prompt Transfer for Question Answering

Minji Jung, Soyeon Park, Jeewoo Sul, Yong Suk Choi

Do Vision-Language Models Understand Compound Nouns?

Sonal Kumar, Sreyan Ghosh, S Sakshi, Utkarsh Tyagi, Dinesh Manocha

Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata

Jinghong Chen, Weizhe Lin, Jingbiao Mei, Bill Byrne

M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation

Benjamin Hsu, Xiaoyu Liu, Huayang Li, Yoshinari Fujinuma, Maria Nǎdejde

Llama meets EU: Investigating the European political spectrum through the lens of LLMs

Ilias Chalkidis, Stephanie Brandl

Rehearsal-Free Modular and Compositional Continual Learning for Language Models

Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schuetze

On the True Distribution Approximation of Minimum Bayes-Risk Decoding

Atsumoto Ohashi, Ukyo Honda, Tetsuro Morimura, Yuu Jinnai

Zero-Shot vs. Translation-Based Cross-Lingual Transfer: The Case of Lexical Gaps

Abteen Ebrahimi, Katharina von der Wense

LEAF: Language Learners’ English Essays and Feedback Corpus

Shabnam Behzad, Omid Kashefi, Swapna Somasundaran

EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning

Raja Sekhar Reddy Mekala, Yasaman Razeghi, Sameer Singh

Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding

Guangyu Yang, Jinghong Chen, Weizhe Lin, Bill Byrne

Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information

Shadi Iskander, Kira Radinsky, Yonatan Belinkov

LLM-Driven Knowledge Injection Advances Zero-Shot and Cross-Target Stance Detection

Zhao Zhang, Yiming Li, Jin Zhang, Hui Xu

Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels

Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan

ALOHa: A New Measure for Hallucination in Captioning Models

Suzanne Petryk, David M. Chan, Anish Kachinthaya, Haodi Zou, John Canny

Selective Perception: Learning Concise State Descriptions for Language Model Actors

Kolby Nottingham, Yasaman Razeghi, KyungMin Kim, JB Lanier, Pierre Baldi

Contextualizing Argument Quality Assessment with Relevant Knowledge

Darshan Deshpande, Zhivar Sourati, Filip Ilievski, Fred Morstatter

Discourse-Aware In-Context Learning for Temporal Expression Normalization

Akash Gautam, Lukas Lange, Jannik Strötgen

More room for language: Investigating the effect of retrieval on language models

David Samuel, Lucas Charpentier, Sondre Wold

On the Role of Summary Content Units in Text Summarization Evaluation

Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo C. Walenta, Juri Opitz

Can LLM’s Generate Human-Like Wayfinding Instructions? Towards Platform-Agnostic Embodied Instruction Synthesis

Vishnu Sashank Dorbala, Sanjoy Chowdhury, Dinesh Manocha

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing

Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan

GenDecider: Integrating “None of the Candidates” Judgments in Zero-Shot Entity Linking Re-ranking

Kang Zhou, Yuepei Li, Qing Wang, Qiao Qiao, Qi Li

On Retrieval Augmentation and the Limitations of Language Model Training

Ting-Rui Chiang, Xinyan Yu, Joshua Robinson, Ollie Liu, Isabelle Lee

Unveiling Divergent Inductive Biases of LLMs on Temporal Data

Sindhu Kishore, Hangfeng He

Separately Parameterizing Singleton Detection Improves End-to-end Neural Coreference Resolution

Xiyuan Zou, Yiran Li, Ian Porada, Jackie Cheung

SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window

Vikas Raunak, Tom Kocmi, Matt Post

ContrastiveMix: Overcoming Code-Mixing Dilemma in Cross-Lingual Transfer for Information Retrieval

Junggeun Do, Jaeseong Lee, Seung-won Hwang

CELI: Simple yet Effective Approach to Enhance Out-of-Domain Generalization of Cross-Encoders.

Crystina Zhang, Minghan Li, Jimmy Lin

How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes

Harmon Bhasin, Timothy Ossowski, Yiqiao Zhong, Junjie Hu

A Multi-Aspect Framework for Counter Narrative Evaluation using Large Language Models

Jaylen Jones, Lingbo Mo, Eric Fosler-Lussier, Huan Sun

SKICSE: Sentence Knowable Information Prompted by LLMs Improves Contrastive Sentence Embeddings

Fangwei Ou, Jinan Xu

MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages

Daryna Dementieva, Nikolay Babakov, Alexander Panchenko

Unified Examination of Entity Linking in Absence of Candidate Sets

Nicolas Ong, Hassan Shavarani, Anoop Sarkar

Returning to the Start: Generating Narratives with Related Endpoints

Anneliese Brei, Chao Zhao, Snigdha Chaturvedi

Unlocking Structure Measuring: Introducing PDD, an Automatic Metric for Positional Discourse Coherence

Yinhong Liu, Yixuan Su, Ehsan Shareghi, Nigel Collier

Personalized Review Recommendation based on Implicit dimension mining

Bei Xu, Yifan Xu

Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction

Shilong Li, Ge Bai, Zhang Zhang, Ying Liu, Chenji Lu

Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning

Ge Bai, Chenji Lu, Daichi Guo, Shilong Li, Ying Liu

Extracting Lexical Features from Dialects via Interpretable Dialect Classifiers

Roy Xie, Orevaoghene Ahia, Yulia Tsvetkov, Antonios Anastasopoulos

Advancing Regular Language Reasoning in Linear Recurrent Neural Networks

Ting-Han Fan, Ta-Chung Chi, Alexander Rudnicky

Improving Toponym Resolution by Predicting Attributes to Constrain Geographical Ontology Entries

Zeyu Zhang, Egoitz Laparra, Steven Bethard

Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data?

Xiangru Tang, Yiming Zong, Jason Phang, Yilun Zhao, Wangchunshu Zhou

Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias

Anshuman Chhabra, Hadi Askari, Prasant Mohapatra

IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context

Nihar Sahoo, Pranamya Kulkarni, Arif Ahmad, Tanu Goyal, Narjis Asad

Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value

Jing Yao, Xiaoyuan Yi, Yifan Gong, Xiting Wang, Xing Xie

Mix-Initiative Response Generation with Dynamic Prefix Tuning

Yuxiang Nie, Heyan Huang, Xian-Ling Mao, Lizi Liao

RE2: Region-Aware Relation Extraction from Visually Rich Documents

Pritika Ramu, Sijia Wang, Lalla Mouatadid, Joy Rimchala, Lifu Huang

Pre-trained Language Models for Entity Blocking: A Reproducibility Study

Runhui Wang, Yongfeng Zhang