ACL 2024

2,718 papers

LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

Nicholas Lee, Thanakul Wattanawong, Sehoon Kim, Karttikeya Mangalam, Sheng Shen

Perspective Taking through Generating Responses to Conflict Situations

Joan Plepi, Charles Welch, Lucie Flek

Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models

Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He

Better Synthetic Data by Retrieving and Transforming Existing Datasets

Saumya Gandhi, Ritu Gala, Vijay Viswanathan, Tongshuang Wu, Graham Neubig

Exploring Defeasibility in Causal Reasoning

Shaobo Cui, Lazar Milikic, Yiyang Feng, Mete Ismayilzada, Debjit Paul

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models

Alfonso Amayuelas, Kyle Wong, Liangming Pan, Wenhu Chen, William Yang Wang

TRAM: Benchmarking Temporal Reasoning for Large Language Models

Yuqing Wang, Yun Zhao

HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew

Tzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai, Reut Tsarfaty

Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies

Changye Li, Zhecheng Sheng, Trevor Cohen, Serguei Pakhomov

Speech-based Slot Filling using Large Language Models

Guangzhi Sun, Shutong Feng, Dongcheng Jiang, Chao Zhang, Milica Gasic

ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model

Xuanqing Yu, Wangtao Sun, Jingwei Li, Kang Liu, Chengbao Liu

OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection

Chenyang Huang, Abbas Ghaddar, Ivan Kobyzev, Mehdi Rezagholizadeh, Osmar Zaïane

Knowledge Graph-Enhanced Large Language Models via Path Selection

Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li

Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements

Anton Voronov, Lena Wolf, Max Ryabinin

Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning

Qingyu Tan, Hwee Tou Ng, Lidong Bing

ChatMusician: Understanding and Generating Music Intrinsically with LLM

Ruibin Yuan, Hanfeng Lin, Yi Wang, Zeyue Tian, Shangda Wu

Benchmarking Retrieval-Augmented Generation for Medicine

Guangzhi Xiong, Qiao Jin, Zhiyong Lu, Aidong Zhang

Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance

Saurabh Srivastava, Chengyue Huang, Weiguo Fan, Ziyu Yao

MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms

Yiqiao Jin, Minje Choi, Gaurav Verma, Jindong Wang, Srijan Kumar

Understanding Fine-grained Distortions in Reports of Scientific Findings

Amelie Wuehrl, Dustin Wright, Roman Klinger, Isabelle Augenstein

Unveiling the Art of Heading Design: A Harmonious Blend of Summarization, Neology, and Algorithm

Shaobo Cui, Yiyang Feng, Yisong Mao, Yifan Hou, Boi Faltings

Decoding the Narratives: Analyzing Personal Drug Experiences Shared on Reddit

Layla Bouzoubaa, Elham Aghakhani, Max Song, Quang Trinh, Shadi Rezapour

Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model

yibo miao, Hongcheng Gao, Hao Zhang, Zhijie Deng

Exploring Spatial Schema Intuitions in Large Language and Vision Models

Philipp Wicke, Lennart Wachowiak

Teaching Language Models to Self-Improve by Learning from Language Feedback

Chi Hu, Yimin Hu, Hang Cao, Tong Xiao, Jingbo Zhu

HQP: A Human-Annotated Dataset for Detecting Online Propaganda

Abdurahman Maarouf, Dominik Bär, Dominique Geissler, Stefan Feuerriegel

GeoAgent: To Empower LLMs using Geospatial Tools for Address Standardization

Chenghua Huang, Shisong Chen, Zhixu Li, Jianfeng Qu, Yanghua Xiao

Advancing Post-OCR Correction: A Comparative Study of Synthetic Data

Shuhao Guan, Derek Greene

It takes two to borrow: a donor and a recipient. Who’s who?

Liviu Dinu, Ana Uban, Anca Dinu, Ioan-Bogdan Iordache, Simona Georgescu

Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD)

Avshalom Manevich, Reut Tsarfaty

Zero-shot Cross-lingual Alignment for Embedding Initialization

Xi Ai, Zhiyong Huang

When to Trust LLMs: Aligning Confidence with Response Quality

Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao

Bias in News Summarization: Measures, Pitfalls and Corpora

Julius Steen, Katja Markert

ViHateT5: Enhancing Hate Speech Detection in Vietnamese With a Unified Text-to-Text Transformer Model

Luan Thanh Nguyen

CodeInsight: A Curated Dataset of Practical Coding Solutions from Stack Overflow

Nathanaël Beau, Benoit Crabbé

Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning

Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Gaël Gendron

Model Editing by Standard Fine-Tuning

Govind Krishnan Gangadhar, Karl Stratos

CMDL: A Large-Scale Chinese Multi-Defendant Legal Judgment Prediction Dataset

Wanhong Huang, Yi Feng, Chuanyi Li, Honghan Wu, Jidong Ge

LJPCheck: Functional Tests for Legal Judgment Prediction

yuan zhang, Wanhong Huang, Yi Feng, Chuanyi Li, Zhiwei Fei

All Languages Matter: On the Multilingual Safety of LLMs

Wenxuan Wang, Zhaopeng Tu, Chang Chen, Youliang Yuan, Jen-tse Huang

BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains

Yanis Labrak, Adrien Bazoge, Emmanuel Morin, Pierre-Antoine Gourraud, Mickael Rouvier

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge

Daniel Tamayo, Aitor Gonzalez-Agirre, Javier Hernando, Marta Villegas

Coconut: Contextualized Commonsense Unified Transformers for Graph-Based Commonsense Augmentation of Language Models

Jun-Hyung Park, Mingyu Lee, Junho Kim, SangKeun Lee

Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs

Xun Liang, Hanyu Wang, Shichao Song, Mengting Hu, Xunzhi Wang

Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks

Haz Shahgir, Xianghao Kong, Greg Ver Steeg, Yue Dong

Predicting the Unpredictable: Uncertainty-Aware Reasoning over Temporal Knowledge Graphs via Diffusion Process

Yuxiang Cai, Qiao Liu, Yanglei Gan, Changlin Li, Xueyi Liu

TOREE: Evaluating Topic Relevance of Student Essays for Chinese Primary and Middle School Education

Xinlin Zhuang, Hongyi Wu, Xinshu Shen, Peimin Yu, Gaowei Yi

Phased Instruction Fine-Tuning for Large Language Models

Wei Pang, Chuan Zhou, Xiao-Hua Zhou, Xiaojie Wang

MuTox: Universal MUltilingual Audio-based TOXicity Dataset and Zero-shot Detector

Marta R. Costa-jussà, Mariano Coria Meglioli, Pierre Andrews, David Dale, Prangthip Hansanti

Definition generation for lexical semantic change detection

Mariia Fedorova, Andrey Kutuzov, Yves Scherrer

Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint

Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Junchen Wan, Fuzheng Zhang

Benchmarking Large Language Models on CFLUE - A Chinese Financial Language Understanding Evaluation Dataset

Jie Zhu, Junhui Li, Yalong Wen, Lifan Guo

XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification

Yanjiang Liu, Tianyun Zhong, Yaojie Lu, Hongyu Lin, Ben He

On the Relationship Between RNN Hidden-State Vectors and Semantic Structures

Edi Muskardin, Martin Tappler, Ingo Pill, Bernhard Aichernig, Thomas Pock

ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic

Fajri Koto, Haonan Li, Sara Shatnawi, Jad Doughman, Abdelrahman Sadallah

Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models

Sheng-Lun Wei, Cheng-Kuang Wu, Hen-Hsen Huang, Hsin-Hsi Chen

GeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics

Fengyu Cai, Xinran Zhao, Hongming Zhang, Iryna Gurevych, Heinz Koeppl

SSS: Editing Factual Knowledge in Language Models towards Semantic Sparse Space

Huazheng Wang, Haifeng Sun, Jingyu Wang, Qi Qi, Zixuan Xia

Predicting Narratives of Climate Obstruction in Social Media Advertising

Harri Rowlands, Gaku Morio, Dylan Tanner, Christopher Manning

Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning

Shuzheng Si, Helan Hu, Haozhe Zhao, Shuang Zeng, Kaikai An

Thinking about how to extract: Energizing LLMs’ emergence capabilities for document-level event argument extraction

Kai Shuang, Ji Zhou, Qiwei Wang, Jinyu Guo

Subtle Signatures, Strong Shields: Advancing Robust and Imperceptible Watermarking in Large Language Models

Yubing Ren, Ping Guo, Yanan Cao, Wei Ma

StatBot.Swiss: Bilingual Open Data Exploration in Natural Language

Farhad Nooralahzadeh, Yi Zhang, Ellery Smith, Sabine Maennel, Cyril Matthey-Doret

Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation

Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Min Zhang

Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation

Ge Qu, Jinyang Li, Bowen Li, Bowen Qin, Nan Huo

Can We Continually Edit Language Models? On the Knowledge Attenuation in Sequential Model Editing

Qi Li, Xiaowen Chu

The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse

Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin

Evaluating Large Language Models on Wikipedia-Style Survey Generation

Fan Gao, Hang Jiang, Rui Yang, Qingcheng Zeng, Jinghui Lu

Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques

Siva Rajesh Kasa, Aniket Goel, Karan Gupta, Sumegh Roychowdhury, Pattisapu Priyatam

Multi-modal Concept Alignment Pre-training for Generative Medical Visual Question Answering

Quan Yan, Junwen Duan, Jianxin Wang

ReactXT: Understanding Molecular “Reaction-ship” via Reaction-Contextualized Molecule-Text Pretraining

Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang

BadActs: A Universal Backdoor Defense in the Activation Space

Biao Yi, Sishuo Chen, Yiming Li, Tong Li, Baolei Zhang

Which Information Matters? Dissecting Human-written Multi-document Summaries with Partial Information Decomposition

Laura Mascarell, Yan LHomme, Majed El Helou

Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching

Xinwei Wu, Weilong Dong, Shaoyang Xu, Deyi Xiong

StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation

Boxi Cao, Mengjie Ren, Hongyu Lin, Xianpei Han, Feng Zhang

Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding

Hanling Yi, Feng Lin, Hongbin Li, Ning Peiyang, Xiaotian Yu

Se2: Sequential Example Selection for In-Context Learning

Haoyu Liu, Jianfeng Liu, Shaohan Huang, Yuefeng Zhan, Hao Sun

SDA: Semantic Discrepancy Alignment for Text-conditioned Image Retrieval

Yuchen Yang, Yu Wang, Yanfeng Wang

Fast Randomized Low-Rank Adaptation of Pre-trained Language Models with PAC Regularization

Zijian Lei, Dong Qian, William Cheung

Scented-EAE: Stage-Customized Entity Type Embedding for Event Argument Extraction

Yu Yang, Jinyu Guo, Kai Shuang, Chenrui Mao

Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering

ChaeHun Park, Koanho Lee, Hyesu Lim, Jaeseok Kim, Junmo Park

Plausible Extractive Rationalization through Semi-Supervised Entailment Signal

Yeo Wei Jie, Ranjan Satapathy, Erik Cambria

Extending Context Window of Large Language Models via Semantic Compression

Weizhi Fei, Xueyan Niu, Pingyi Zhou, Lu Hou, Bo Bai

Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes

Sunjun Kweon, Junu Kim, Jiyoun Kim, Sujeong Im, Eunbyeol Cho

Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit Clues

Zhiyuan Chang, Mingyang Li, Yi Liu, Junjie Wang, Qing Wang

Tree-Planted Transformers: Unidirectional Transformer Language Models with Implicit Syntactic Supervision

Ryo Yoshida, Taiga Someya, Yohei Oseki

KOMBO: Korean Character Representations Based on the Combination Rules of Subcharacters

SungHo Kim, Juhyeong Park, Yeachan Kim, SangKeun Lee

Improving Attributed Text Generation of Large Language Models via Preference Learning

Dongfang Li, Zetian Sun, Baotian Hu, Zhenyu Liu, Xinshuo Hu

MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing

Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty

Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain

Zhen Wan, Yating Zhang, Yexiang Wang, Fei Cheng, Sadao Kurohashi

MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing

Jiaqi Li, Miaozeng Du, Chuanyi Zhang, Yongrui Chen, Nan Hu

Disentangling Length from Quality in Direct Preference Optimization

Ryan Park, Rafael Rafailov, Stefano Ermon, Chelsea Finn

MLeVLM: Improve Multi-level Progressive Capabilities based on Multimodal Large Language Model for Medical Visual Question Answering

Dexuan Xu, Yanyuan Chen, Jieyi Wang, Yue Huang, Hanpin Wang

Anchor-based Large Language Models

Jianhui Pang, Fanghua Ye, Derek Wong, XIN HE, Wanshun Chen

Your Co-Workers Matter: Evaluating Collaborative Capabilities of Language Models in Blocks World

Guande Wu, Chen Zhao, Claudio Silva, He He

On the Language Encoder of Contrastive Cross-modal Models

Mengjie Zhao, Junya Ono, Zhi Zhong, Chieh-Hsin Lai, Yuhta Takida

Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models

Huichi Zhou, Zhaoyang Wang, Hongtao Wang, Dongping Chen, Wenhan Mu

Language Models can Evaluate Themselves via Probability Discrepancy

Tingyu Xia, Bowen Yu, Yuan Wu, Yi Chang, Chang Zhou

Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models

Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin

SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis

Xulang Zhang, Rui Mao, Erik Cambria