NAACL 2024

1,282 papers

Z-GMOT: Zero-shot Generic Multiple Object Tracking

Kim Tran, Anh Duy Le Dinh, Tien-Phat Nguyen, Thinh Phan, Pha Nguyen

Don’t be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks

Seunguk Yu, Juhwan Choi, YoungBin Kim

Select and Summarize: Scene Saliency for Movie Script Summarization

Rohit Saxena, Frank Keller

Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning

Shuai Zhao, Leilei Gan, Anh Tuan Luu, Jie Fu, Lingjuan Lyu

Anti-LM Decoding for Zero-shot In-context Machine Translation

Suzanna Sia, Alexandra DeLucia, Kevin Duh

Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants

Raphael Rubino, Johanna Gerlach, Jonathan Mutal, Pierrette Bouillon

Beyond Read-Only: Crafting a Comprehensive Chinese Text-to-SQL Dataset for Database Manipulation and Query

Xi Chen, Jinguo You, Kun Li, Xiang Li

A Measure for Transparent Comparison of Linguistic Diversity in Multilingual NLP Data Sets

Tanja Samardžić, Ximena Gutierrez, Christian Bentz, Steven Moran, Olga Pelloni

Probing the Category of Verbal Aspect in Transformer Language Models

Anisia Katinskaia, Roman Yangarber

Simulating Opinion Dynamics with Networks of LLM-based Agents

Yun-Shiuan Chuang, Agam Goyal, Nikunj Harlalka, Siddharth Suresh, Robert Hawkins

Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer

Hele-Andra Kuulmets, Taido Purason, Agnes Luhtaru, Mark Fishel

An End-to-End Submodular Framework for Data-Efficient In-Context Learning

Lilly Kumari, Shengjie Wang, Arnav Das, Tianyi Zhou, Jeff Bilmes

Time Machine GPT

Felix Drinkall, Eghbal Rahimikia, Janet Pierrehumbert, Stefan Zohren

Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning

Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao

Visual Enhanced Entity-Level Interaction Network for Multimodal Summarization

Haolong Yan, Binghao Tang, Boda Lin, Gang Zhao, Si Li

C3LPGCN:Integrating Contrastive Learning and Cooperative Learning with Prompt into Graph Convolutional Network for Aspect-based Sentiment Analysis

Ye He, Shihao Zou, YuzheChen YuzheChen, Xianying Huang

Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment

Zhongtao Miao, Qiyu Wu, Kaiyan Zhao, Zilong Wu, Yoshimasa Tsuruoka

A Novel Two-step Fine-tuning Framework for Transfer Learning in Low-Resource Neural Machine Translation

Yuan Gao, Feng Hou, Ruili Wang

Learning Mutually Informed Representations for Characters and Subwords

Yilin Wang, Xinyi Hu, Matthew Gormley

BotChat: Evaluating LLMs’ Capabilities of Having Multi-Turn Dialogues

Haodong Duan, Jueqi Wei, Chonghua Wang, Hongwei Liu, Yixiao Fang

MindAgent: Emergent Gaming Interaction

Ran Gong, Qiuyuan Huang, Xiaojian Ma, Yusuke Noda, Zane Durante

DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation

Aru Maekawa, Satoshi Kosugi, Kotaro Funakoshi, Manabu Okumura

COMMIT: Code-Mixing English-Centric Large Language Model for Multilingual Instruction Tuning

Jaeseong Lee, Yeonjoon Jung, Seung-won Hwang

Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking

Hong Jin Kang, Fabrice Harel-Canada, Muhammad Ali Gulzar, Nanyun Peng, Miryung Kim

RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations

Haolan Zhan, Zhuang Li, Xiaoxi Kang, Tao Feng, Yuncheng Hua

IruMozhi: Automatically classifying diglossia in Tamil

Kabilan Prasanna, Aryaman Arora

Aspect-based Sentiment Analysis with Context Denoising

Yuanhe Tian, Chang Liu, Yan Song, Fei Xia, Yongdong Zhang

Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models

Wanyong Feng, Jaewook Lee, Hunter McNichols, Alexander Scarlatos, Digory Smith

Reason from Fallacy: Enhancing Large Language Models’ Logical Reasoning through Logical Fallacy Understanding

Yanda Li, Dixuan Wang, Jiaqing Liang, Guochao Jiang, Qianyu He

Extending Input Contexts of Language Models through Training on Segmented Sequences

Petros Karypis, Julian McAuley, George Karypis

Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison

Maxime Bouthors, Josep Crego, François Yvon

Multi-Review Fusion-in-Context

Aviv Slobodkin, Ori Shapira, Ran Levy, Ido Dagan

Evaluating Step-by-Step Reasoning through Symbolic Verification

Yifan Zhang, Hanlin Zhang, Li Li, Eric Xing

UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking

Chuang Li, Yan Zhang, Min-Yen Kan, Haizhou Li

Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization

Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du

MuMath: Multi-perspective Data Augmentation for Mathematical Reasoning in Large Language Models

Weihao You, Shuo Yin, Xudong Zhao, Zhilong Ji, Guoqiang Zhong

Enhancing the General Agent Capabilities of Low-Paramter LLMs through Tuning and Multi-Branch Reasoning

Qinhao Zhou, Zihan Zhang, Xiang Xiang, Ke Wang, Yuchuan Wu

GoT: Effective Graph-of-Thought Reasoning in Language Models

Yao Yao, Zuchao Li, Hai Zhao

Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models

Sang Truong, Duc Nguyen, Toan Nguyen, Dong Le, Nhi Truong

Exploring Language Model’s Code Generation Ability with Auxiliary Functions

Seonghyeon Lee, Sanghwan Jang, Seongbo Jang, Dongha Lee, Hwanjo Yu

Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission

Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen

Task-Agnostic Detector for Insertion-Based Backdoor Attacks

Weimin Lyu, Xiao Lin, Songzhu Zheng, Lu Pang, Haibin Ling

Prompting Vision-Language Models For Aspect-Controlled Generation of Referring Expressions

Danfeng Guo, Sanchit Agarwal, Arpit Gupta, Jiun-Yu Kao, Emre Barut

Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge

Yifei Liu, Yiquan Wu, Ang Li, Yating Zhang, Changlong Sun

Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis

Wenhao Zhu, Hongyi Liu, Qingxiu Dong, Jingjing Xu, Shujian Huang

SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation

Hangfeng He, Hongming Zhang, Dan Roth

Contrastive Preference Learning for Neural Machine Translation

Jianfei He, Shichao Sun, Sen Peng, Jie Xu, Xiaohua Jia

Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other

Yifei Gao, Jie Ou, Lei Wang, Yuting Xiao, Zhiyuan Xiang

HateModerate: Testing Hate Speech Detectors against Content Moderation Policies

Jiangrui Zheng, Xueqing Liu, Mirazul Haque, Xing Qian, Guanqun Yang

LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud

Mengke Zhang, Tianxing He, Tianle Wang, Lu Mi, Niloofar Mireshghallah

UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle

Yutao Mou, Kexiang Wang, Jianhe Lin, Dehong Ma, Jun Fan

Laying Anchors: Semantically Priming Numerals in Language Modeling

Mandar Sharma, Rutuja Taware, Pravesh Koirala, Nikhil Muralidhar, Naren Ramakrishnan

Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narratives

Jiaxin Liu, Yi Yang, Kar Yan Tam

In-Context Example Ordering Guided by Label Distributions

Zhichao Xu, Daniel Cohen, Bei Wang, Vivek Srikumar

Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning

Yanhui Guo, Shaoyuan Xu, Jinmiao Fu, Jia Liu, Chaosheng Dong

Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification

Robert Vacareanu, Fahmida Alam, Md Asiful Islam, Haris Riaz, Mihai Surdeanu

Tailoring Vaccine Messaging with Common-Ground Opinions

Rickard Stureborg, Sanxing Chen, Roy Xie, Aayushi Patel, Christopher Li

Towards an On-device Agent for Text Rewriting

Yun Zhu, Yinxiao Liu, Felix Stahlberg, Shankar Kumar, Yu-Hui Chen

Self-Adaptive Sampling for Accurate Video Question Answering on Image Text Models

Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria

Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts

Chenghao Yang, Tuhin Chakrabarty, Karli Hochstatter, Melissa Slavin, Nabila El-Bassel

Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio Deepfake

Orchid Chetia Phukan, Gautam Siddharth Kashyap, Arun Balaji Buduru, Rajesh Sharma

Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise

Giwon Hong, Jeonghwan Kim, Junmo Kang, Sung-Hyon Myaeng, Joyce Jiyoung Whang

X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment

Dongjae Shin, HyeonSeok Lim, Inho Won, ChangSu Choi, MinJun Kim

Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models in Court Decisions

Alex Nyffenegger, Matthias Stürmer, Joel Niklaus

Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition

Floris den Hengst, Ralf Wolter, Patrick Altmeyer, Arda Kaygan

BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models

Jacek Wiland, Max Ploner, Alan Akbik

A Lightweight Mixture-of-Experts Neural Machine Translation Model with Stage-wise Training Strategy

Fan Zhang, Mei Tu, Song Liu, Jinyao Yan

Denoising Attention for Query-aware User Modeling

Elias Bassani, Pranav Kasela, Gabriella Pasi

Content-Specific Humorous Image Captioning Using Incongruity Resolution Chain-of-Thought

Kohtaro Tanaka, Kohei Uehara, Lin Gu, Yusuke Mukuta, Tatsuya Harada

COMEM: In-Context Retrieval-Augmented Mass-Editing Memory in Large Language Models

Shanbao Qiao, Xuebing Liu, Seung-Hoon Na

Product Description and QA Assisted Self-Supervised Opinion Summarization

Tejpalsingh Siledar, Rupasai Rangaraju, Sankara Muddu, Suman Banerjee, Amey Patil

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu

METAL: Towards Multilingual Meta-Evaluation

Rishav Hada, Varun Gumma, Mohamed Ahmed, Kalika Bali, Sunayana Sitaram

Testing the limits of logical reasoning in neural and hybrid models

Manuel Vargas Guzmán, Jakub Szymanik, Maciej Malicki

BERTweet’s TACO Fiesta: Contrasting Flavors On The Path Of Inference And Information-Driven Argument Mining On Twitter

Marc Feger, Stefan Dietze

Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models

Rui Wang, Fei Mi, Yi Chen, Boyang Xue, Hongru Wang

Rethinking Machine Ethics – Can LLMs Perform Moral Reasoning through the Lens of Moral Theories?

Jingyan Zhou, Minda Hu, Junan Li, Xiaoying Zhang, Xixin Wu

Group Fairness in Multilingual Speech Recognition Models

Anna Zee, Marc Zee, Anders Søgaard

Multi-Granularity Guided Fusion-in-Decoder

Eunseong Choi, Hyeri Lee, Jongwuk Lee

A Systematic Analysis of Subwords and Cross-Lingual Transfer in Multilingual Translation

Francois Meyer, Jan Buys

Signer Diversity-driven Data Augmentation for Signer-Independent Sign Language Translation

Honghao Fu, Liang Zhang, Biao Fu, Rui Zhao, Jinsong Su

Plug-in Language Model: Controlling Text Generation with a Simple Regression Model

Nai-Chi Yang, Wei-Yun Ma, Pu-Jen Cheng

How Interpretable are Reasoning Explanations from Prompting Large Language Models?

Yeo Wei Jie, Ranjan Satapathy, Rick Goh, Erik Cambria

Enhancing Perception: Refining Explanations of News Claims with LLM Conversations

Yi-Li Hsu, Jui-Ning Chen, Yang Fan Chiang, Shang-Chien Liu, Aiping Xiong

Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains

Zijie Wang, Farzana Rashid, Eduardo Blanco

CLGSI: A Multimodal Sentiment Analysis Framework based on Contrastive Learning Guided by Sentiment Intensity

Yang Yang, Xunde Dong, Yupeng Qiang

ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification

Yaxin Zhu, Hamed Zamani

Crafting In-context Examples according to LMs’ Parametric Knowledge

Yoonsang Lee, Pranav Atreya, Xi Ye, Eunsol Choi

Ethos: Rectifying Language Models in Orthogonal Parameter Space

Lei Gao, Yue Niu, Tingting Tang, Salman Avestimehr, Murali Annavaram

PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck

Thang Pham, Peijie Chen, Tin Nguyen, Seunghyun Yoon, Trung Bui

Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions

Pouya Pezeshkpour, Estevam Hruschka

Psychometric Predictive Power of Large Language Models

Tatsuki Kuribayashi, Yohei Oseki, Timothy Baldwin

“Tell me who you are and I tell you how you argue”: Predicting Stances and Arguments for Stakeholder Groups

Philipp Heinisch, Lorik Dumani, Philipp Cimiano, Ralf Schenkel

Applications of BERT Models Towards Automation of Clinical Coding in Icelandic

Haraldur Orri Hauksson, Hafsteinn Einarsson

Beta-LR: Interpretable Logical Reasoning based on Beta Distribution

Yizhuo Ma, Ke Qin, Shuang Liang

MedCycle: Unpaired Medical Report Generation via Cycle-Consistency

Elad Hirsch, Gefen Dawidowicz, Ayellet Tal

When Quantization Affects Confidence of Large Language Models?

Irina Proskurina, Luc Brun, Guillaume Metzler, Julien Velcin

Methods, Applications, and Directions of Learning-to-Rank in NLP Research

Justin Lee, Gabriel Bernier-Colborne, Tegan Maharaj, Sowmya Vajjala

Self-Regulated Sample Diversity in Large Language Models

Mingyue Liu, Jonathan Frawley, Sarah Wyer, Hubert P. H. Shum, Sara Uckelman

Connecting the Dots: Inferring Patent Phrase Similarity with Retrieved Phrase Graphs

Zhuoyi PENG, Yi Yang