ACL 2024

2,718 papers

CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models

Qian Lou, Xin Liang, Jiaqi Xue, Yancheng Zhang, Rui Xie

Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization

Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang, Xukai Liu

Evaluating Large Language Model Biases in Persona-Steered Generation

Andy Liu, Mona Diab, Daniel Fried

Self-Supervised Singing Voice Pre-Training towards Speech-to-Singing Conversion

Ruiqi Li, Rongjie Huang, Yongqi Wang, Zhiqing Hong, Zhou Zhao

Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability

Afra Feyza Akyürek, Ekin Akyürek, Leshem Choshen, Derry Wijaya, Jacob Andreas

Integrating Multi-scale Contextualized Information for Byte-based Neural Machine Translation

Langlin Huang, Yang Feng

Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations

Bowen Shen, Zheng Lin, Daren Zha, Wei Liu, Jian Luan

FastGAS: Fast Graph-based Annotation Selection for In-Context Learning

Zihan Chen, Song Wang, Cong Shen, Jundong Li

Automated Focused Feedback Generation for Scientific Writing Assistance

Eric Chamoun, Michael Schlichtkrull, Andreas Vlachos

SELP: A Semantically-Driven Approach for Separated and Accurate Class Prototypes in Few-Shot Text Classification

Wenxin Liang, Tingyu Zhang, Han Liu, Feng Zhang

Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots

Junling Wang, Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Mrinmaya Sachan

Bilingual Rhetorical Structure Parsing with Large Parallel Annotations

Elena Chistova

Understanding and Patching Compositional Reasoning in LLMs

Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian

Pushing the Limits of Low-Resource NER Using LLM Artificial Data Generation

Joan Santoso, Patrick Sutanto, Billy Cahyadi, Esther Setiawan

SumSurvey: An Abstractive Dataset of Scientific Survey Papers for Long Document Summarization

Ran Liu, Ming Liu, Min Yu, He Zhang, Jianguo Jiang

Visual Hallucinations of Multi-modal Large Language Models

Wen Huang, Hongbin Liu, Minxin Guo, Neil Gong

Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST!

Frank Wildenburg, Michael Hanna, Sandro Pezzelle

On the Effect of (Near) Duplicate Subwords in Language Modelling

Anton Schäfer, Thomas Hofmann, Imanol Schlag, Tiago Pimentel

Erxin Yu, Jing Li, Chunpu Xu

Enhancing Cross Text-Molecule Learning by Self-Augmentation

Yinuo Jiang, Xiang Zhuang, Keyan Ding, Qiang Zhang, Huajun Chen

Leveraging Collection-Wide Similarities for Unsupervised Document Structure Extraction

Gili Lior, Yoav Goldberg, Gabriel Stanovsky

Semantic are Beacons: A Semantic Perspective for Unveiling Parameter-Efficient Fine-Tuning in Knowledge Learning

Renzhi Wang, Piji Li

Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk

Dennis Ulmer, Elman Mansimov, Kaixiang Lin, Lijia Sun, Xibin Gao

Revisiting Interpolation Augmentation for Speech-to-Text Generation

Chen Xu, Jie Wang, Xiaoqian Liu, Qian Dong, Chunliang Zhang

Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction

Wanlong Liu, Li Zhou, DingYi Zeng, Yichen Xiao, Shaohuan Cheng

Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation

Zhexuan Wang, Shudong Liu, Xuebo Liu, Miao Zhang, Derek Wong

Description Boosting for Zero-Shot Entity and Relation Classification

Gabriele Picco, Leopold Fuchs, Marcos Martinez Galindo, Alberto Purpura, Vanessa Lopez

What Are You Token About? Differentiable Perturbed Top-k Token Selection for Scientific Document Summarization

Luca Ragazzi, Paolo Italiani, Gianluca Moro, Mattia Panni

Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning

Everlyn Asiko Chimoto, Jay Gala, Orevaoghene Ahia, Julia Kreutzer, Bruce A. Bassett

Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning

Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification

Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li

Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models

Zehui Chen, Kuikun Liu, Qiuchen Wang, Wenwei Zhang, Jiangning Liu

EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification

Huanhuan Ma, Weizhi Xu, Yifan Wei, Liuji Chen, Liang Wang

Question-Instructed Visual Descriptions for Zero-Shot Video Answering

David Mogrovejo, Thamar Solorio

DP-MLM: Differentially Private Text Rewriting Using Masked Language Models

Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes

Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness

Maximilian Spliethöver, Sai Nikhil Menon, Henning Wachsmuth

Outdated Issue Aware Decoding for Factual Knowledge Editing

Zengkui Sun, Yijin Liu, Jiaan Wang, Fandong Meng, Jinan Xu

Evidence Retrieval is almost All You Need for Fact Verification

Liwen Zheng, Chaozhuo Li, Xi Zhang, Yu-Ming Shang, Feiran Huang

PEK: A Parameter-Efficient Framework for Knowledge-Grounded Dialogue Generation

Pan Yang, Dandan Song, Zhijing Wu, Yanru Zhou

On the Vulnerability of Safety Alignment in Open-Access LLMs

Jingwei Yi, Rui Ye, Qisi Chen, Bin Zhu, Siheng Chen

Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data

Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang

LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation

Zengkui Sun, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen

AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought

Yongheng Zhang, Qiguang Chen, Min Li, Wanxiang Che, Libo Qin

Unexpected Phenomenon: LLMs’ Spurious Associations in Information Extraction

Weiyan Zhang, Wanpeng Lu, Jiacheng Wang, Yating Wang, Lihan Chen

RRNorm: A Novel Framework for Chinese Disease Diagnoses Normalization via LLM-Driven Terminology Component Recognition and Reconstruction

Yongqi Fan, Yansha Zhu, Kui Xue, Jingping Liu, Tong Ruan

CTC-based Non-autoregressive Textless Speech-to-Speech Translation

Qingkai Fang, Zhengrui Ma, Yan Zhou, Min Zhang, Yang Feng

Large Language Models Can Learn Representation in Natural Language

Yiduo Guo, Yaobo Liang, Dongyan Zhao, Nan Duan

P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization

Yuansen Zhang, Xiao Wang, Tianze Chen, Jiayi Fu, Tao Gui

FRVA: Fact-Retrieval and Verification Augmented Entailment Tree Generation for Explainable Question Answering

Yue Fan, Hu Zhang, Ru Li, Yujie Wang, Hongye Tan

CoCo-Agent: A Comprehensive Cognitive MLLM Agent for Smartphone GUI Automation

Xinbei Ma, Zhuosheng Zhang, Hai Zhao

The Critique of Critique

Shichao Sun, Junlong Li, Weizhe Yuan, Ruifeng Yuan, Wenjie Li

TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wild

Huayang Li, Siheng Li, Deng Cai, Longyue Wang, Lemao Liu

Budget-Constrained Tool Learning with Planning

Yuanhang Zheng, Peng Li, Ming Yan, Ji Zhang, Fei Huang

Towards Better Question Generation in QA-based Event Extraction

Zijin Hong, Jian Liu

Assessing News Thumbnail Representativeness: Counterfactual text can enhance the cross-modal matching ability

Yejun Yoon, Seunghyun Yoon, Kunwoo Park

SymTax: Symbiotic Relationship and Taxonomy Fusion for Effective Citation Recommendation

Karan Goyal, Mayank Goel, Vikram Goyal, Mukesh Mohania

InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models

Juseon-Do, Jingun Kwon, Hidetaka Kamigaito, Manabu Okumura

EVIT: Event-Oriented Instruction Tuning for Event Reasoning

Zhengwei Tao, Xiancai Chen, Zhi Jin, Xiaoying Bai, Haiyan Zhao

Investigating Subtler Biases in LLMs: Ageism, Beauty, Institutional, and Nationality Bias in Generative Models

Mahammed Kamruzzaman, Md. Shovon, Gene Kim

LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs

Tingting Liang, Chenxin Jin, Lingzhi Wang, Wenqi Fan, Congying Xia

MEEL: Multi-Modal Event Evolution Learning

Zhengwei Tao, Zhi Jin, Junqiang Huang, Xiancai Chen, Xiaoying Bai

Semantic Role Labeling from Chinese Speech via End-to-End Learning

Huiyao Chen, Xinxin Li, Meishan Zhang, Min Zhang

Towards Objectively Benchmarking Social Intelligence of Language Agents at the Action Level

Chenxu Wang, Bin Dai, Huaping Liu, Baoyuan Wang

ResLoRA: Identity Residual Mapping in Low-Rank Adaption

Shuhua Shi, Shaohan Huang, Minghui Song, Zhoujun Li, Zihan Zhang

Rationales for Answers to Simple Math Word Problems Confuse Large Language Models

Yidan Zhang, Mingfeng Xue, Dayiheng Liu, Zhenan He

Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration

Kejuan Yang, Xiao Liu, Kaiwen Men, Aohan Zeng, Yuxiao Dong

DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation

Jiapeng Wang, Chengyu Wang, Tingfeng Cao, Jun Huang, LianWen Jin

GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models Evaluation

Yi Zong, Xipeng Qiu

Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models

Qingyu Lu, Baopu Qiu, Liang Ding, Kanjian Zhang, Tom Kocmi

Teaching Large Language Models an Unseen Language on the Fly

Chen Zhang, Xiao Liu, Jiuheng Lin, Yansong Feng

“Get Their Hands Dirty, Not Mine”: On Researcher-Annotator Collaboration and the Agency of Annotators

Shengqi Zhu, Jeffrey Rzeszotarski

TempCompass: Do Video LLMs Really Understand Videos?

Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren

DB-LLM: Accurate Dual-Binarization for Efficient LLMs

Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou

Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models

Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu

PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion

Yiduo Guo, Zekai Zhang, Yaobo Liang, Dongyan Zhao, Nan Duan

VAEGPT-Sim: Improving Sentence Representation with Limited Corpus Using Gradually-Denoising VAE

Zhenyi Wang, Haiyan Ning, Qing Ling, Dan Wang

Generalized Category Discovery with Large Language Models in the Loop

Wenbin An, Wenkai Shi, Feng Tian, Haonan Lin, Qianying Wang

Exploring Domain Robust Lightweight Reward Models based on Router Mechanism

Hyuk Namgoong, Jeesu Jung, Sangkeun Jung, YoonHyung Roh

Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products

Tao Zhang, Chenwei Zhang, Xian Li, Jingbo Shang, Hoang Nguyen

Knowledge Context Modeling with Pre-trained Language Models for Contrastive Knowledge Graph Completion

Guangqian Yang, Yi Liu, Lei Zhang, Licheng Zhang, Hongtao Xie

Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals?

Marcio Fonseca, Shay Cohen

Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining

Shuqi Liu, Bowei He, Linqi Song

Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs

Masashi Oshika, Makoto Morishita, Tsutomu Hirao, Ryohei Sasano, Koichi Takeda

Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding

Yuu Jinnai, Kaito Ariu

GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages

Spencer Rarrick, Ranjita Naik, Sundar Poudel, Vishal Chowdhary

Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding

Yuu Jinnai, Ukyo Honda, Tetsuro Morimura, Peinan Zhang

ProLex: A Benchmark for Language Proficiency-oriented Lexical Substitution

Xuanming Zhang, Zixun Chen, Zhou Yu

StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code

Hannah McLean Babe, Sydney Nguyen, Yangtian Zi, Arjun Guha, Molly Q Feldman

Multi-Label Classification for Implicit Discourse Relation Recognition

Wanqiu Long, N. Siddharth, Bonnie Webber

Improving LLM Generations via Fine-Grained Self-Endorsement

Ante Wang, Linfeng Song, Baolin Peng, Lifeng Jin, Ye Tian

Question Translation Training for Better Multilingual Reasoning

Wenhao Zhu, Shujian Huang, Fei Yuan, Shuaijie She, Jiajun Chen

CausalCite: A Causal Formulation of Paper Citations

Ishan Agrawal, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen

BenchIE^FL: A Manually Re-Annotated Fact-Based Open Information Extraction Benchmark

Fabrice Lamarche, Philippe Langlais

Machine-Generated Text Localization

Zhongping Zhang, Wenda Qin, Bryan Plummer

TOAD: Task-Oriented Automatic Dialogs with Diverse Response Styles

Yinhong Liu, Yimai Fang, David Vandyke, Nigel Collier

Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond

Xinyu Wang, Hainiu Xu, Lin Gui, Yulan He

Large Language Models Relearn Removed Concepts

Michelle Lo, Fazl Barez, Shay Cohen

It Is Not About What You Say, It Is About How You Say It: A Surprisingly Simple Approach for Improving Reading Comprehension

Sagi Shaier, Lawrence E Hunter, Katharina von der Wense

Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games

Dekun Wu, Haochen Shi, Zhiyuan Sun, Bang Liu

BASS: Batched Attention-optimized Speculative Sampling

Haifeng Qian, Sujan Kumar Gonugondla, Sungsoo Ha, Mingyue Shang, Sanjay Krishna Gouda