NAACL 2024

1,282 papers

DAGCN: Distance-based and Aspect-oriented Graph Convolutional Network for Aspect-based Sentiment Analysis

Zhihao Wang, Bo Zhang, Ru Yang, Chang Guo, Maozhen Li

Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models

Fobo Shi, Peijun Qing, Dong Yang, Nan Wang, Youbo Lei

Adversarial DPO: Harnessing Harmful Data for Reducing Toxicity with Minimal Impact on Coherence and Evasiveness in Dialogue Agents

San Kim, Gary Lee

Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information

Kyubyung Chae, Jaepill Choi, Yohan Jo, Taesup Kim

ZSEE: A Dataset based on Zeolite Synthesis Event Extraction for Automated Synthesis Platform

Song He, Xin Peng, Yihan Cai, Xin Li, Zhiqing Yuan

More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling

Bingsheng Yao, Guiming Chen, Ruishi Zou, Yuxuan Lu, Jiachen Li

AdaPT: A Set of Guidelines for Hyperbolic Multimodal Multilingual NLP

Ramit Sawhney, Shrey Pandit, Vishwa Shah, Megh Thakkar, Shafiq Joty

Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies

Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang

CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving

Pei Chen, SHUAI ZHANG, Boran Han

Reinforcement Learning with Token-level Feedback for Controllable Text Generation

Wendi Li, Wei Wei, Kaihe Xu, Wenfeng Xie, Dangyang Chen

MICo: Preventative Detoxification of Large Language Models through Inhibition Control

Roy Siegelmann, Ninareh Mehrabi, Palash Goyal, Prasoon Goyal, Lisa Bauer

Hypernetwork-Assisted Parameter-Efficient Fine-Tuning with Meta-Knowledge Distillation for Domain Knowledge Disentanglement

Changqun Li, Linlin Wang, Xin lin, Shizhou Huang, Liang He

RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models

Saeed Khaki, JinJin Li, Lan Ma, Liu Yang, Prathap Ramachandra

It’s All Relative! – A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction

Aditi Chaudhary, Karthik Raman, Michael Bendersky

Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation

Yifu Qiu, Varun Embar, Shay Cohen, Benjamin Han

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data

Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang

Discovering and Mitigating Indirect Bias in Attention-Based Model Explanations

Farsheed Haque, Depeng Xu, Shuhan Yuan

mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models?

Tianze Hua, Tian Yun, Ellie Pavlick

Improving Absent Keyphrase Generation with Diversity Heads

Edwin Thomas, Sowmya Vajjala

TagDebias: Entity and Concept Tagging for Social Bias Mitigation in Pretrained Language Models

Mehrnaz Moslemi, Amal Zouaq

Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study

Alessandro Stolfo

Gaussian Process Optimization for Adaptable Multi-Objective Text Generation using Linearly-Weighted Language Models

Mohammad Mahdi Abdollah Pour, Ali Pesaranghader, Eldan Cohen, Scott Sanner

FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering

Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting

Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu

MCAD: Multi-teacher Cross-modal Alignment Distillation for efficient image-text retrieval

Youbo Lei, Feifei He, Chen Chen, Yingbin Mo, Sijia Li

Adapting Fake News Detection to the Era of Large Language Models

Jinyan Su, Claire Cardie, Preslav Nakov

Composite Backdoor Attacks Against Large Language Models

Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang

Noisy Multi-Label Text Classification via Instance-Label Pair Correction

Pengyu Xu, Mingyang Song, Linkaida Liu, Bing Liu, Hongjian Sun

LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback

Wenda Xu, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Biao Zhang

Pruning as a Domain-specific LLM Extractor

Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao

SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models

Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz

UGIF-DataSet: A New Dataset for Cross-lingual, Cross-modal Sequential actions on the UI

Sagar Gubbi Venkatesh, Partha Talukdar, Srini Narayanan

Subword Attention and Post-Processing for Rare and Unknown Contextualized Embeddings

Raj Patel, Carlotta Domeniconi

GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond

Shen Zheng, Yuyu Zhang, Yijie Zhu, Chenguang Xi, Pengyang Gao

An Effective Automated Speaking Assessment Approach to Mitigating Data Scarcity and Imbalanced Distribution

Tien-Hong Lo, Fu-An Chao, Tzu-I Wu, Yao-Ting Sung, Berlin Chen

ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks

Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao

Learning Cross-Architecture Instruction Embeddings for Binary Code Analysis in Low-Resource Architectures

Junzhe Wang, Qiang Zeng, Lannan Luo

Natural Language-based State Representation in Deep Reinforcement Learning

Md Masudur Rahman, Yexiang Xue

Instruction Tuning with Human Curriculum

Bruce W Lee, Hyunsoo Cho, Kang Min Yoo

Matching Varying-Length Texts via Topic-Informed and Decoupled Sentence Embeddings

Xixi Zhou, Chunbin Gu, Xin Jie, Jiajun Bu, Haishuai Wang

Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems

Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke

Emergent Abilities in Reduced-Scale Generative Language Models

Sherin Muckatira, Vijeta Deshpande, Vladislav Lialin, Anna Rumshisky

A Tree-of-Thoughts to Broaden Multi-step Reasoning across Languages

Leonardo Ranaldi, Giulia Pucci, Federico Ranaldi, Elena Sofia Ruzzetti, Fabio Massimo Zanzotto

Low-Rank Adaptation for Multilingual Summarization: An Empirical Study

Chenxi Whitehouse, Fantine Huot, Jasmijn Bastings, Mostafa Dehghani, Chu-Cheng Lin

Explanation Extraction from Hierarchical Classification Frameworks for Long Legal Documents

Nishchal Prasad, Taoufiq Dkaki, Mohand Boughanem

Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning

Miao Peng, Ben Liu, Wenjie Xu, Zihao Jiang, Jiahui Zhu

T3M: Text Guided 3D Human Motion Synthesis from Speech

Wenshuo Peng, Kaipeng Zhang, Sai Qian Zhang

SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models

Lee Hyun, Kim Sung-Bin, Seungju Han, Youngjae Yu, Tae-Hyun Oh

What Makes Math Word Problems Challenging for LLMs?

Kv Aditya Srivatsa, Ekaterina Kochmar

EDEntail: An Entailment-based Few-shot Text Classification with Extensional Definition

Zixiao Zhu, Junlang Qian, Zijian Feng, Hanzhang Zhou, Kezhi Mao

Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction

Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty

SELF-EXPERTISE: Knowledge-based Instruction Dataset Augmentation for a Legal Expert Language Model

Minju Kim, Haein Jung, Myoung-Wan Koo

OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining

Yihong Liu, Peiqin Lin, Mingyang Wang, Hinrich Schuetze

Aligning Large Language Models with Recommendation Knowledge

Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan Hulikal Keshavan, Lukasz Heldt

Testing the Effect of Code Documentation on Large Language Model Code Understanding

William Macke, Michael Doyle

Modeling the Sacred: Considerations when Using Religious Texts in Natural Language Processing

Ben Hutchinson

REMATCH: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic Similarity

Zoher Kachwala, Jisun An, Haewoon Kwak, Filippo Menczer

SLiM: Speculative Decoding with Hypothesis Reduction

Chi-Heng Lin, Shikhar Tuli, James Smith, Yen-Chang Hsu, Yilin Shen

Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs

Victor Cărbune, Hassan Mansoor, Fangyu Liu, Rahul Aralikatte, Gilles Baechler

Planning and Editing What You Retrieve for Enhanced Tool Learning

Tenghao Huang, Dongwon Jung, Vaibhav Kumar, Mohammad Kachuee, Xiang Li

LangNav: Language as a Perceptual Representation for Navigation

Bowen Pan, Rameswar Panda, SouYoung Jin, Rogerio Feris, Aude Oliva

Can Public Large Language Models Help Private Cross-device Federated Learning?

Boxin Wang, Yibo Zhang, Yuan Cao, Bo Li, Hugh McMahan

GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism

Shuzhou Yuan, Michael Färber

Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA

Dhruv Agarwal, Rajarshi Das, Sopan Khosla, Rashmi Gangadharaiah

The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation

Lei Wang, Ee-Peng Lim

OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning

Fei Yu, Anningzhe Gao, Benyou Wang

R-BASS : Relevance-aided Block-wise Adaptation for Speech Summarization

Roshan Sharma, Ruchira Sharma, Hira Dhamyal, Rita Singh, Bhiksha Raj

CLEAN–EVAL: Clean Evaluation on Contaminated Large Language Models

Wenhong Zhu, Hongkun Hao, Zhiwei He, Yun-Ze Song, Jiao Yueyang

Teaching a Multilingual Large Language Model to Understand Multilingual Speech via Multi-Instructional Training

Pavel Denisov, Thang Vu

DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations

Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu

AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback

Wanpeng Zhang, Zongqing Lu

GEE! Grammar Error Explanation with Large Language Models

Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Kevin Gimpel, Mohit Iyyer

Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization

Zixuan Zhang, Revanth Gangi Reddy, Kevin Small, Tong Zhang, Heng Ji

Efficient Dependency Tree Sampling Without Replacement

Bogdan Dobre

LEEETs-Dial: Linguistic Entrainment in End-to-End Task-oriented Dialogue systems

Nalin Kumar, Ondřej Dušek

Hierarchical Attention Graph for Scientific Document Summarization in Global and Local Level

Chenlong Zhao, Xiwen Zhou, Xiaopeng Xie, Yong Zhang

Source-Free Unsupervised Domain Adaptation for Question Answering via Prompt-Assisted Self-learning

Maxwell Yin, Boyu Wang, Charles Ling

Measuring Social Norms of Large Language Models

Ye Yuan, Kexin Tang, Jianhao Shen, Ming Zhang, Chenguang Wang

A Novel Paradigm Boosting Translation Capabilities of Large Language Models

Jiaxin Guo, Hao Yang, Zongyao Li, Daimeng Wei, Hengchao Shang

Solving Data-centric Tasks using Large Language Models

Shraddha Barke, Christian Poelitz, Carina Negreanu, Benjamin Zorn, José Cambronero

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing

Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang

LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Qifan Wang

Addressing Both Statistical and Causal Gender Fairness in NLP Models

Hannah Chen, Yangfeng Ji, David Evans

REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models

Sana Ebrahimi, Nima Shahbazi, Abolfazl Asudeh

READ: Improving Relation Extraction from an ADversarial Perspective

Dawei Li, William Hogan, Jingbo Shang

On-the-Fly Fusion of Large Language Models and Machine Translation

Hieu Hoang, Huda Khayrallah, Marcin Junczys-Dowmunt

Which Modality should I use - Text, Motif, or Image? : Understanding Graphs with Large Language Models

Debarati Das, Ishaan Gupta, Jaideep Srivastava, Dongyeop Kang

Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles

Weiting Tan, Haoran Xu, Lingfeng Shen, Shuyue Stella Li, Kenton Murray

Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders

Yingji Zhang, Marco Valentino, Danilo Carvalho, Ian Pratt-Hartmann, Andre Freitas

Citation: A Key to Building Responsible and Accountable Large Language Models

Jie Huang, Kevin Chang

A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection

Ivo Verhoeven, Pushkar Mishra, Rahel Beloch, Helen Yannakoudakis, Ekaterina Shutova

LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?

Qihui Zhang, Chujie Gao, Dongping Chen, Yue Huang, Yixin Huang

Leveraging Contextual Information for Effective Entity Salience Detection

Rajarshi Bhowmik, Marco Ponza, Atharva Tendle, Anant Gupta, Rebecca Jiang

EcoSpeak: Cost-Efficient Bias Mitigation for Partially Cross-Lingual Speaker Verification

Divya V Sharma

VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder

YueEn Ma, Dafeng Chi, Jingjing Li, Kai Song, Yuzheng Zhuang

Comparing Two Model Designs for Clinical Note Generation; Is an LLM a Useful Evaluator of Consistency?

Nathan Brake, Thomas Schaaf

OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models

Yuxuan Kuang, Hai Lin, Meng Jiang

Incorporating Exponential Smoothing into MLP: a Simple but Effective Sequence Model

JiqunChu JiqunChu, Zuoquan Lin

Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning

Yinger Zhang, Hui Cai, Xierui Song, Yicheng Chen, Rui Sun

Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks

Rochelle Choenni, Ekaterina Shutova, Dan Garrette