ACL 2024

2,718 papers

IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning

Abhinav Joshi, Shounak Paul, Akshat Sharma, Pawan Goyal, Saptarshi Ghosh

Aligning Large Language Models by On-Policy Self-Judgment

Sangkyu Lee, Sungdong Kim, Ashkan Yousefpour, Minjoon Seo, Kang Min Yoo

Exploring Precision and Recall to assess the quality and diversity of LLMs

Florian Le Bronnec, Alexandre Verine, Benjamin Negrevergne, Yann Chevaleyre, Alexandre Allauzen

Learning to Plan and Generate Text with Citations

Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez

An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing

Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang

Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs

Tianqing Fang, Zeming Chen, Yangqiu Song, Antoine Bosselut

Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment

Janghwan Lee, Seongmin Park, Sukjin Hong, Minsoo Kim, Du-Seong Chang

Self-chats from Large Language Models Make Small Emotional Support Chatbot Better

Zhonghua Zheng, Lizi Liao, Yang Deng, Libo Qin, Liqiang Nie

MIST: Mutual Information Maximization for Short Text Clustering

Krissanee Kamthawee, Can Udomcharoenchaikit, Sarana Nutanong

Measuring Meaning Composition in the Human Brain with Composition Scores from Large Language Models

Changjiang Gao, Jixing Li, Jiajun Chen, Shujian Huang

Soul-Mix: Enhancing Multimodal Machine Translation with Manifold Mixup

Xuxin Cheng, Ziyu Yao, Yifei Xin, Hao An, Hongxiang Li

Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding

Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen

Model Composition for Multimodal Large Language Models

Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo

Browse and Concentrate: Comprehending Multimodal Content via Prior-LLM Context Fusion

Ziyue Wang, Chi Chen, Yiqi Zhu, Fuwen Luo, Peng Li

Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization Correlations

Jiaxing Sun, Weiquan Huang, Jiang Wu, Chenya Gu, Wei Li

Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages

Yuanchi Zhang, Yile Wang, Zijun Liu, Shuo Wang, Xiaolong Wang

Layer-Condensed KV Cache for Efficient Inference of Large Language Models

Haoyi Wu, Kewei Tu

Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use

Yuhan Chen, Ang Lv, Ting-En Lin, Changyu CHEN, Yuchuan Wu

Measuring Political Bias in Large Language Models: What Is Said and How It Is Said

Yejin Bang, Delong Chen, Nayeon Lee, Pascale Fung

Fundamental Capabilities of Large Language Models and their Applications in Domain Scenarios: A Survey

Jiawei Li, Yizhe Yang, Yu Bai, Xiaofeng Zhou, Yinghao Li

Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

Ying-Chun Lin, Jennifer Neville, Jack Stokes, Longqi Yang, Tara Safavi

Uncertainty Aware Learning for Language Model Alignment

Yikun Wang, Rui Zheng, Liang Ding, Qi Zhang, Dahua Lin

Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion

Rui Ying, Mengting Hu, Jianfeng Wu, Yalan Xie, Xiaoyi Liu

IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages

Harman Singh, Nitish Gupta, Shikhar Bharadwaj, Dinesh Tewari, Partha Talukdar

Exploring Hybrid Question Answering via Program-based Prompting

Qi SHI, Han Cui, Haofeng Wang, Qingfu Zhu, Wanxiang Che

CLOMO: Counterfactual Logical Modification with Large Language Models

Yinya Huang, Ruixin Hong, Hongming Zhang, Wei Shao, Zhicheng Yang

Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLMs-Powered Assistance

Bo Yuan, Yulin Chen, Yin Zhang, Wei Jiang

PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails

Neal Mangaokar, Ashish Hooda, Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz

Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages

Shih-Cheng Huang, Pin-Zu Li, Yu-chi Hsu, Kuang-Ming Chen, Yu Tung Lin

Make-A-Voice: Revisiting Voice Large Language Models as Scalable Multilingual and Multitask Learners

Rongjie Huang, Chunlei Zhang, Yongqi Wang, Dongchao Yang, Jinchuan Tian

Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation

Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen

Revisiting Knowledge Distillation for Autoregressive Language Models

Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du

The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Xin Zhao

RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Cheng Niu, Yuanhao Wu, Juno Zhu, Siliang Xu, Kashun Shum

Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors

Ying Zhou, Ben He, Le Sun

PAGED: A Benchmark for Procedural Graphs Extraction from Documents

Weihong Du, Wenrui Liao, Hongru Liang, Wenqiang Lei

Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes

Dingzirui Wang, Longxu Dou, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che

CARE: A Clue-guided Assistant for CSRs to Read User Manuals

Weihong Du, Jia Liu, Zujie Wen, Dingnan Jin, Hongru Liang

Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting

Rikui Huang, Wei Wei, Xiaoye Qu, Shengzhe Zhang, Dangyang Chen

Multimodal Reasoning with Multimodal Knowledge Graph

Junlin Lee, Yequan Wang, Jing Li, Min Zhang

CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models

Tong Zhang, Peixin Qin, Yang Deng, Chen Huang, Wenqiang Lei

Ask Again, Then Fail: Large Language Models’ Vacillations in Judgment

Qiming Xie, Zengzhi Wang, Yi Feng, Rui Xia

Prompted Aspect Key Point Analysis for Quantitative Review Summarization

An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Erik Cambria

PolCLIP: A Unified Image-Text Word Sense Disambiguation Model via Generating Multimodal Complementary Representations

Qihao Yang, Yong Li, Xuelin Wang, Fu Lee Wang, Tianyong Hao

ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation

Chen Huang, Yiping Jin, Ilija Ilievski, Wenqiang Lei, Jiancheng Lv

CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models

Fuwen Luo, Chi Chen, Zihao Wan, Zhaolu Kang, Qidong Yan

Aligning Large Language Models with Human Preferences through Representation Engineering

Wenhao Liu, Xiaohua Wang, Muling Wu, Tianlong Li, Changze Lv

HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts

Hao Zhao, Zihan Qiu, Huijia Wu, Zili Wang, Zhaofeng He

LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error

Boshi Wang, Hao Fang, Jason Eisner, Benjamin Van Durme, Yu Su

Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models

Guanming Xiong, Junwei Bao, Wen Zhao

Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Bochuan Cao, Yuanpu Cao, Lu Lin, Jinghui Chen

Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models

Victor Agostinelli, Max Wild, Matthew Raffel, Kazi Fuad, Lizhong Chen

Pareto Optimal Learning for Estimating Large Language Model Errors

Theodore Zhao, Mu Wei, J. Preston, Hoifung Poon

Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People

Dun-Ming Huang, Pol van Rijn, Ilia Sucholutsky, Raja Marjieh, Nori Jacoby

Learning Relational Decomposition of Queries for Question Answering from Tables

Raphaël Mouravieff, Benjamin Piwowarski, Sylvain Lamprier

Large Language Models Can Learn Temporal Reasoning

Siheng Xiong, Ali Payani, Ramana Kompella, Faramarz Fekri

Bridging the Preference Gap between Retrievers and LLMs

Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei

Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning

Eric Pasewark, Kyle Montgomery, Kefei Duan, Dawn Song, Chenguang Wang

Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks

Charlotte Siska, Katerina Marazopoulou, Melissa Ailem, James Bono

AGB-DE: A Corpus for the Automated Legal Assessment of Clauses in German Consumer Contracts

Daniel Braun, Florian Matthes

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models

Yilin Wen, Zifeng Wang, Jimeng Sun

SyllabusQA: A Course Logistics Question Answering Dataset

Nigel Fernandez, Alexander Scarlatos, Andrew Lan

Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments

Zhenrui Yue, Huimin Zeng, Lanyu Shang, Yifan liu, Yang Zhang

Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?

Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger

Quantifying the Persona Effect in LLM Simulations

Tiancheng Hu, Nigel Collier

BinaryAlign: Word Alignment as Binary Sequence Labeling

Gaetan Latouche, Marc-André Carbonneau, Benjamin Swanson

Harnessing Toulmin’s theory for zero-shot argument explication

Ankita Gupta, Ethan Zuckerman, Brendan O’Connor

MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning

Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu

Do Large Language Models Latently Perform Multi-Hop Reasoning?

Sohee Yang, Elena Gribovskaya, Nora Kassner, Mor Geva, Sebastian Riedel

OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification

Yifan Peng, Yui Sudo, Muhammad Shakeel, Shinji Watanabe

Revisiting Structured Sentiment Analysis as Latent Dependency Graph Parsing

Chengjie Zhou, Bobo Li, Hao Fei, Fei Li, Chong Teng

A Sentiment Consolidation Framework for Meta-Review Generation

Miao Li, Jey Han Lau, Eduard Hovy

Meta-Task Prompting Elicits Embeddings from Large Language Models

Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao

SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution

Prerna Agarwal, Nishant Kumar, Srikanta Bedathur

On the Impact of Calibration Data in Post-training Quantization and Pruning

Miles Williams, Nikolaos Aletras

Uni-Dubbing: Zero-Shot Speech Synthesis from Visual Articulation

Songju Lei, Xize Cheng, Mengjiao Lyu, Jianqiao Hu, Jintao Tan

CoELM: Construction-Enhanced Language Modeling

Lvxiaowei Xu, Zhilin Gong, Jianhua Dai, Tianxiang Wang, Ming Cai

Predicting Text Preference Via Structured Comparative Reasoning

Jing Nathan Yan, Tianqi Liu, Justin Chiu, Jiaming Shen, Zhen Qin

Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training

Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen

MAPO: Advancing Multilingual Reasoning through Multilingual-Alignment-as-Preference Optimization

Shuaijie She, Wei Zou, Shujian Huang, Wenhao Zhu, Xiang Liu

NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism

Miao Li, Ming-Bin Chen, Bo Tang, Shengbin Hou, Pengyu Wang

POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation

Shilong Pan, Zhiliang Tian, Liang Ding, Haoqi Zheng, Zhen Huang

Dodo: Dynamic Contextual Compression for Decoder-only LMs

Guanghui Qin, Corby Rosset, Ethan Chau, Nikhil Rao, Benjamin Van Durme

SC2: Towards Enhancing Content Preservation and Style Consistency in Long Text Style Transfer

Jie Zhao, Ziyu Guan, Cai Xu, Wei Zhao, Yue Jiang

MERA: A Comprehensive LLM Evaluation in Russian

Alena Fenogenova, Artem Chervyakov, Nikita Martynov, Anastasia Kozlova, Maria Tikhonova

To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering

Giacomo Frisoni, Alessio Cocchieri, Alex Presepi, Gianluca Moro, Zaiqiao Meng

LePaRD: A Large-Scale Dataset of Judicial Citations to Precedent

Robert Mahari, Dominik Stammbach, Elliott Ash, Alex Pentland

DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy

Hongda Sun, Weikai Xu, Wei Liu, Jian Luan, Bin Wang

BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Yifei Wang, Dizhan Xue, Shengjie Zhang, Shengsheng Qian

MapGPT: Map-Guided Prompting with Adaptive Path Planning for Vision-and-Language Navigation

Jiaqi Chen, Bingqian Lin, Ran Xu, Zhenhua Chai, Xiaodan Liang

Self-Modifying State Modeling for Simultaneous Machine Translation

Donglei Yu, Xiaomian Kang, Yuchen Liu, Yu Zhou, Chengqing Zong

VulLibGen: Generating Names of Vulnerability-Affected Packages via a Large Language Model

Tianyu Chen, Lin Li, Liuchuan Zhu, Zongyang Li, Xueqing Liu

Robust Singing Voice Transcription Serves Synthesis

Ruiqi Li, Yu Zhang, Yongqi Wang, Zhiqing Hong, Rongjie Huang

Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models

Yuchong Sun, Che Liu, Kun Zhou, Jinwen Huang, Ruihua Song

Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines

Michael Toker, Hadas Orgad, Mor Ventura, Dana Arad, Yonatan Belinkov

Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation

Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Xiaoming Wang

CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models

Zixin Chen, Hongzhan Lin, Ziyang Luo, Mingfei Cheng, Jing Ma

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

Jun Zhan, Junqi Dai, Jiasheng Ye, Yunhua Zhou, Dong Zhang

Beyond Recognising Entailment: Formalising Natural Language Inference from an Argumentative Perspective

Ameer Saadat-Yazdi, Nadin Kökciyan

Temperature-scaling surprisal estimates improve fit to human reading times – but does it do so for the “right reasons”?

Tong Liu, Iza Škrjanec, Vera Demberg