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NAACL 2024

1,282 papers

DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling

Shikhar Tuli, Chi-Heng Lin, Yen-Chang Hsu, Niraj Jha, Yilin Shen

Reinforced Multiple Instance Selection for Speaker Attribute Prediction

Alireza Salkhordeh Ziabari, Ali Omrani, Parsa Hejabi, Preni Golazizian, Brendan Kennedy

Instructional Fingerprinting of Large Language Models

Jiashu Xu, Fei Wang, Mingyu Ma, Pang Wei Koh, Chaowei Xiao

A Pretrainer’s Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity

Shayne Longpre, Gregory Yauney, Emily Reif, Katherine Lee, Adam Roberts

Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models

Zhixue Zhao, Nikolaos Aletras

PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning

Tianrong Zhang, Zhaohan Xi, Ting Wang, Prasenjit Mitra, Jinghui Chen

Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks

Ting-Yun Chang, Jesse Thomason, Robin Jia

Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding

Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell

LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models

Yifan Yang, Jiajun Zhou, Ngai Wong, Zheng Zhang

Native Language Identification in Texts: A Survey

Dhiman Goswami, Sharanya Thilagan, Kai North, Shervin Malmasi, Marcos Zampieri

Modeling Empathetic Alignment in Conversation

Jiamin Yang, David Jurgens

Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models

Jiashu Xu, Mingyu Ma, Fei Wang, Chaowei Xiao, Muhao Chen

Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages

Nathaniel R. Robinson, Raj Dabre, Ammon Shurtz, Rasul Dent, Onenamiyi Onesi

When Life Gives You Lemons, Make Cherryade: Converting Feedback from Bad Responses into Good Labels

Weiyan Shi, Emily Dinan, Kurt Shuster, Jason Weston, Jing Xu

What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception

Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar

ExpertQA: Expert-Curated Questions and Attributed Answers

Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar

Social Meme-ing: Measuring Linguistic Variation in Memes

Naitian Zhou, David Jurgens, David Bamman

ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger

Jiazhao Li, Yijin Yang, Zhuofeng Wu, V.G. Vinod Vydiswaran, Chaowei Xiao

TopicGPT: A Prompt-based Topic Modeling Framework

Chau Minh Pham, Alexander Hoyle, Simeng Sun, Philip Resnik, Mohit Iyyer

Regularized Conventions: Equilibrium Computation as a Model of Pragmatic Reasoning

Athul Jacob, Gabriele Farina, Jacob Andreas

Visually-Aware Context Modeling for News Image Captioning

Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens

Evaluating In-Context Learning of Libraries for Code Generation

Arkil Patel, Siva Reddy, Dzmitry Bahdanau, Pradeep Dasigi

Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation

Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Yufeng He

A Survey of Meaning Representations – From Theory to Practical Utility

Zacchary Sadeddine, Juri Opitz, Fabian Suchanek

Measuring Entrainment in Spontaneous Code-switched Speech

Debasmita Bhattacharya, Siying Ding, Alayna Nguyen, Julia Hirschberg

The Effect of Data Partitioning Strategy on Model Generalizability: A Case Study of Morphological Segmentation

Zoey Liu, Bonnie Dorr

Curated Datasets and Neural Models for Machine Translation of Informal Registers between Mayan and Spanish Vernaculars

Andrés Lou, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez, Víctor Sánchez-Cartagena

GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models

Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han

TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale

Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun

Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models

Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, Yang Zhang

How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities

Lingbo Mo, Boshi Wang, Muhao Chen, Huan Sun

UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions

Siddhant Arora, Hayato Futami, Jee-weon Jung, Yifan Peng, Roshan Sharma

What Causes the Failure of Explicit to Implicit Discourse Relation Recognition?

Wei Liu, Stephen Wan, Michael Strube

Metaphor Detection with Context Enhancement and Curriculum Learning

Kaidi Jia, Rongsheng Li

Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing

Sai Koneru, Miriam Exel, Matthias Huck, Jan Niehues

PatentEval: Understanding Errors in Patent Generation

You Zuo, Kim Gerdes, Éric Clergerie, Benoît Sagot

Adjusting Interpretable Dimensions in Embedding Space with Human Judgments

Katrin Erk, Marianna Apidianaki

A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and Quality

Maja Stahl, Nadine Michel, Sebastian Kilsbach, Julian Schmidtke, Sara Rezat

Unlocking Emergent Modularity in Large Language Models

Zihan Qiu, Zeyu Huang, Jie Fu

MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks

Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, Ishaan Watts, Ashutosh Sathe

PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning

Xuekai Zhu, Biqing Qi, Kaiyan Zhang, Xinwei Long, Zhouhan Lin

A Likelihood Ratio Test of Genetic Relationship among Languages

V.S.D.S.Mahesh Akavarapu, Arnab Bhattacharya

ReFACT: Updating Text-to-Image Models by Editing the Text Encoder

Dana Arad, Hadas Orgad, Yonatan Belinkov

Efficient Benchmarking (of Language Models)

Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion

Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao

FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering

Wei Zhou, Mohsen Mesgar, Heike Adel, Annemarie Friedrich

ALBA: Adaptive Language-Based Assessments for Mental Health

Vasudha Varadarajan, Sverker Sikström, Oscar Kjell, H. Andrew Schwartz

How Well Do Large Language Models Truly Ground?

Hyunji Lee, Se June Joo, Chaeeun Kim, Joel Jang, Doyoung Kim

KTRL+F: Knowledge-Augmented In-Document Search

Hanseok Oh, Haebin Shin, Miyoung Ko, Hyunji Lee, Minjoon Seo

SumTra: A Differentiable Pipeline for Few-Shot Cross-Lingual Summarization

Jacob Parnell, Inigo Jauregi Unanue, Massimo Piccardi

LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordination

Kai Zhang, Yangyang Kang, Fubang Zhao, Xiaozhong Liu

POLYIE: A Dataset of Information Extraction from Polymer Material Scientific Literature

Jerry Cheung, Yuchen Zhuang, Yinghao Li, Pranav Shetty, Wantian Zhao

From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning

Xuansheng Wu, Wenlin Yao, Jianshu Chen, Xiaoman Pan, Xiaoyang Wang

Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models

Raphael Tang, Crystina Zhang, Xueguang Ma, Jimmy Lin, Ferhan Ture

First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models

Naomi Saphra, Eve Fleisig, Kyunghyun Cho, Adam Lopez

Principles from Clinical Research for NLP Model Generalization

Aparna Elangovan, Jiayuan He, Yuan Li, Karin Verspoor

The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels

Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat

Program-Aided Reasoners (Better) Know What They Know

Anubha Kabra, Sanketh Rangreji, Yash Mathur, Aman Madaan, Emmy Liu

Fact Checking Beyond Training Set

Payam Karisani, Heng Ji

ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models

Jinhao Duan, Shiqi Wang, James Diffenderfer, Lichao Sun, Tianlong Chen

Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation

Yao Lu, Jiayi Wang, Raphael Tang, Sebastian Riedel, Pontus Stenetorp

RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization

Dongqi Liu, Vera Demberg

Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes

Rose Wang, Qingyang Zhang, Carly Robinson, Susanna Loeb, Dorottya Demszky

P3Sum: Preserving Author’s Perspective in News Summarization with Diffusion Language Models

Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park

A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily

Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization

Dongsheng Zhu, Xunzhu Tang, Weidong Han, Jinghui Lu, Yukun Zhao

Quantum-inspired Language Model with Lindblad Master Equation and Interference Measurement for Sentiment Analysis

Kehuan Yan, Peichao Lai, Yilei WANG

QualEval: Qualitative Evaluation for Model Improvement

Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal

IPED: An Implicit Perspective for Relational Triple Extraction based on Diffusion Model

Jianli Zhao, Changhao Xu, Bin. Jiang

The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth

Shir Lissak, Nitay Calderon, Geva Shenkman, Yaakov Ophir, Eyal Fruchter

Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings

Chen Cecilia Liu, Fajri Koto, Timothy Baldwin, Iryna Gurevych

FUN with Fisher: Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing

Chen Cecilia Liu, Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych

Automatic Generation of Model and Data Cards: A Step Towards Responsible AI

Jiarui Liu, Wenkai Li, Zhijing Jin, Mona Diab

Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan

DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Dataset

Young-jun Lee, Byungsoo Ko, Han-Gyu Kim, Jonghwan Hyeon, Ho-Jin Choi

MART: Improving LLM Safety with Multi-round Automatic Red-Teaming

Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang

Metacognitive Prompting Improves Understanding in Large Language Models

Yuqing Wang, Yun Zhao

Embodied Executable Policy Learning with Language-based Scene Summarization

Jielin Qiu, Mengdi Xu, William Han, Seungwhan Moon, Ding Zhao

zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models

Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao

TRUE-UIE: Two Universal Relations Unify Information Extraction Tasks

Yucheng Wang, Bowen Yu, Yilin Liu, Shudong Lu

Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen

TISE: A Tripartite In-context Selection Method for Event Argument Extraction

Yanhe Fu, Yanan Cao, Qingyue Wang, Yi Liu

BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer

Akari Asai, Sneha Kudugunta, Xinyan Yu, Terra Blevins, Hila Gonen

Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction

Chenming Tang, Fanyi Qu, Yunfang Wu

Multi-Scale Prompt Memory-Augmented Model for Black-Box Scenarios

Xiaojun Kuang, C. L. Philip Chen, Shuzhen Li, Tong Zhang

Leveraging Generative Large Language Models with Visual Instruction and Demonstration Retrieval for Multimodal Sarcasm Detection

Binghao Tang, Boda Lin, Haolong Yan, Si Li

End-to-End Beam Retrieval for Multi-Hop Question Answering

Jiahao Zhang, Haiyang Zhang, Dongmei Zhang, Liu Yong, Shen Huang

Ghostbuster: Detecting Text Ghostwritten by Large Language Models

Vivek Verma, Eve Fleisig, Nicholas Tomlin, Dan Klein

Toward Informal Language Processing: Knowledge of Slang in Large Language Models

Zhewei Sun, Qian Hu, Rahul Gupta, Richard Zemel, Yang Xu

COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion

Jinpeng Li, Hang Yu, Xiangfeng Luo, Qian Liu

SELF-GUARD: Empower the LLM to Safeguard Itself

Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang

Causal Inference for Human-Language Model Collaboration

Bohan Zhang, Yixin Wang, Paramveer Dhillon

MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference

Mobashir Sadat, Cornelia Caragea

Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations

Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu

REST: Retrieval-Based Speculative Decoding

Zhenyu He, Zexuan Zhong, Tianle Cai, Jason Lee, Di He

JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models

Jillian Fisher, Ximing Lu, Jaehun Jung, Liwei Jiang, Zaïd Harchaoui

Benchmark Transparency: Measuring the Impact of Data on Evaluation

Venelin Kovatchev, Matthew Lease

Identifying Linear Relational Concepts in Large Language Models

David Chanin, Anthony Hunter, Oana-Maria Camburu

A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers

Jordan Meadows, Marco Valentino, Damien Teney, Andre Freitas

Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation

Se-eun Yoon, Zhankui He, Jessica Echterhoff, Julian McAuley