ACL 2024

2,718 papers

Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation

Yiwei Li, Fei Mi, Yitong Li, Yasheng Wang, Bin Sun

Perturbed examples reveal invariances shared by language models

Ruchit Rawal, Mariya Toneva

Identifying and Mitigating Annotation Bias in Natural Language Understanding using Causal Mediation Analysis

Sitiporn Sae Lim, Can Udomcharoenchaikit, Peerat Limkonchotiwat, Ekapol Chuangsuwanich, Sarana Nutanong

TimeToM: Temporal Space is the Key to Unlocking the Door of Large Language Models’ Theory-of-Mind

Guiyang Hou, Wenqi Zhang, Yongliang Shen, Linjuan Wu, Weiming Lu

CLASP: Cross-modal Alignment Using Pre-trained Unimodal Models

Jianing Zhou, Ziheng Zeng, Hongyu Gong, Suma Bhat

TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification

Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh

Peering into the Mind of Language Models: An Approach for Attribution in Contextual Question Answering

Anirudh Phukan, Shwetha Somasundaram, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan

wav2vec-S: Adapting Pre-trained Speech Models for Streaming

Biao Fu, Kai Fan, Minpeng Liao, Yidong Chen, Xiaodong Shi

Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training

Qingyan Guo, Rui Wang, Junliang Guo, Xu Tan, Jiang Bian

CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion

Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan

Duwak: Dual Watermarks in Large Language Models

Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Chen

Graph-Structured Speculative Decoding

Zhuocheng Gong, Jiahao Liu, Ziyue Wang, Pengfei Wu, Jingang Wang

Hybrid Alignment Training for Large Language Models

Chenglong Wang, Hang Zhou, Kaiyan Chang, Bei Li, Yongyu Mu

When Do LLMs Need Retrieval Augmentation? Mitigating LLMs’ Overconfidence Helps Retrieval Augmentation

Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng

Less is KEN: a Universal and Simple Non-Parametric Pruning Algorithm for Large Language Models

Michele Mastromattei, Fabio Massimo Zanzotto

Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang

Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation

Seongyun Lee, Seungone Kim, Sue Park, Geewook Kim, Minjoon Seo

CMMLU: Measuring massive multitask language understanding in Chinese

Haonan Li, YIXUAN ZHANG, Fajri Koto, Yifei Yang, Hai Zhao

Improving Low-Resource Machine Translation for Formosan Languages Using Bilingual Lexical Resources

Francis Zheng, Edison Marrese-Taylor, Yutaka Matsuo

Don’t Augment, Rewrite? Assessing Abusive Language Detection with Synthetic Data

Camilla Casula, Elisa Leonardelli, Sara Tonelli

Space Decomposition for Sentence Embedding

Wuttikorn Ponwitayarat, Peerat Limkonchotiwat, Ekapol Chuangsuwanich, Sarana Nutanong

Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development

Pranab Sahoo, Ayush Kumar Singh, Sriparna Saha, Aman Chadha, Samrat Mondal

KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge

Jiyoung Lee, Minwoo Kim, Seungho Kim, Junghwan Kim, Seunghyun Won

Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence

Weixiang Zhao, Zhuojun Li, Shilong Wang, Yang Wang, Yulin Hu

StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models

Zhicheng Guo, Sijie Cheng, Hao Wang, Shihao Liang, Yujia Qin

ToxVidLM: A Multimodal Framework for Toxicity Detection in Code-Mixed Videos

Krishanu Maity, A.s. Poornash, Sriparna Saha, Pushpak Bhattacharyya

Distillation Enhanced Generative Retrieval

Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li

Definition Generation for Automatically Induced Semantic Frame

Yi Han, Ryohei Sasano, Koichi Takeda

Accelerating Multilingual Language Model for Excessively Tokenized Languages

Jimin Hong, Gibbeum Lee, Jaewoong Cho

When is a Language Process a Language Model?

Li Du, Holden Lee, Jason Eisner, Ryan Cotterell

On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Lin Long, Rui Wang, Ruixuan Xiao, Junbo Zhao, Xiao Ding

ICC : Quantifying Image Caption Concreteness for Multimodal Dataset Curation

Moran Yanuka, Morris Alper, Hadar Averbuch-Elor, Raja Giryes

Exploiting Positional Bias for Query-Agnostic Generative Content in Search

Andrew Parry, Sean MacAvaney, Debasis Ganguly

Enhancing Distractor Generation for Multiple-Choice Questions with Retrieval Augmented Pretraining and Knowledge Graph Integration

Han Cheng Yu, Yu An Shih, Kin Man Law, KaiYu Hsieh, Yu Chen Cheng

Centroid-Based Efficient Minimum Bayes Risk Decoding

Hiroyuki Deguchi, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe, Hideki Tanaka

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM

Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang

Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction

Albert Sawczyn, Katsiaryna Viarenich, Konrad Wojtasik, Aleksandra Domogała, Marcin Oleksy

PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs

An Liu, Zonghan Yang, Zhenhe Zhang, Qingyuan Hu, Peng Li

Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning

Chenyuan Wu, Gangwei Jiang, Defu Lian

Understanding Cross-Lingual Alignment—A Survey

Katharina Hämmerl, Jindřich Libovický, Alexander Fraser

RECOST: External Knowledge Guided Data-efficient Instruction Tuning

Qi Zhang, Yiming Zhang, Haobo Wang, Junbo Zhao

Improving Grammatical Error Correction via Contextual Data Augmentation

Yixuan Wang, Baoxin Wang, Yijun Liu, Qingfu Zhu, Dayong Wu

Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning

Menglong Cui, Jiangcun Du, Shaolin Zhu, Deyi Xiong

Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts

Tian Yu, Shaolei Zhang, Yang Feng

Data Contamination Calibration for Black-box LLMs

Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen

iSign: A Benchmark for Indian Sign Language Processing

Abhinav Joshi, Romit Mohanty, Mounika Kanakanti, Andesha Mangla, Sudeep Choudhary

Unveiling Opinion Evolution via Prompting and Diffusion for Short Video Fake News Detection

Linlin Zong, Jiahui Zhou, Wenmin Lin, Xinyue Liu, Xianchao Zhang

Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm

Yuanzhen Xie, Xinzhou Jin, Tao Xie, Mingxiong Lin, Liang Chen

ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models

Kaiwen Zhou, Kwonjoon Lee, Teruhisa Misu, Xin Wang

IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages

Tahir Javed, Janki Nawale, Eldho George, Sakshi Joshi, Kaushal Bhogale

Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning

Kaiyi Zhang, Ang Lv, Yuhan Chen, Hansen Ha, Tao Xu

TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing

Pooja Guhan, Uttaran Bhattacharya, Somdeb Sarkhel, Vahid Azizi, Xiang Chen

II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering

Jihyung Kil, Farideh Tavazoee, Dongyeop Kang, Joo-Kyung Kim

AS-ES Learning: Towards efficient CoT learning in small models

Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, GongZhang GongZhang

Automatic Engineering of Long Prompts

Cho-jui Hsieh, Si Si, Felix Yu, Inderjit Dhillon

Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions

Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li

STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents

Yue Chen, Chen Huang, Yang Deng, Wenqiang Lei, Dingnan Jin

DORY: Deliberative Prompt Recovery for LLM

Lirong Gao, Ru Peng, Yiming Zhang, Junbo Zhao

Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization

Zhanhui Zhou, Jie Liu, Jing Shao, Xiangyu Yue, Chao Yang

Chinese MentalBERT: Domain-Adaptive Pre-training on Social Media for Chinese Mental Health Text Analysis

Wei Zhai, Hongzhi Qi, Qing Zhao, Jianqiang Li, Ziqi Wang

MODDP: A Multi-modal Open-domain Chinese Dataset for Dialogue Discourse Parsing

Chen Gong, DeXin Kong, Suxian Zhao, Xingyu Li, Guohong Fu

LLM Performance Predictors are good initializers for Architecture Search

Ganesh Jawahar, Muhammad Abdul-Mageed, Laks Lakshmanan, Dujian Ding

PPTSER: A Plug-and-Play Tag-guided Method for Few-shot Semantic Entity Recognition on Visually-rich Documents

Wenhui Liao, Jiapeng Wang, Zening Lin, Longfei Xiong, LianWen Jin

Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning

Xiaohu Du, Ming Wen, Jiahao Zhu, Zifan Xie, Bin Ji

InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents

Qiusi Zhan, Zhixiang Liang, Zifan Ying, Daniel Kang

Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models

Dheeraj Mekala, Alex Nguyen, Jingbo Shang

SharedCon: Implicit Hate Speech Detection using Shared Semantics

Hyeseon Ahn, Youngwook Kim, Jungin Kim, Yo-Sub Han

Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts

Ganesh Jawahar, Haichuan Yang, Yunyang Xiong, Zechun Liu, Dilin Wang

Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features

Mengyu Bu, Shuhao Gu, Yang Feng

ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning

Ahmed Masry, Mehrad Shahmohammadi, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty

Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification

Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren

CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection

Sirry Chen, Shuo Feng, Liang Songsong, Chen-Chen Zong, Jing Li

Codec-SUPERB: An In-Depth Analysis of Sound Codec Models

Haibin Wu, Ho-Lam Chung, Yi-Cheng Lin, Yuan-Kuei Wu, Xuanjun Chen

Refining and Synthesis: A Simple yet Effective Data Augmentation Framework for Cross-Domain Aspect-based Sentiment Analysis

Haining Wang, Kang He, Bobo Li, Lei Chen, Fei Li

Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval

Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan

Contrastive Instruction Tuning

Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin

Debiasing Large Language Models with Structured Knowledge

Congda Ma, Tianyu Zhao, Manabu Okumura

Making Harmful Behaviors Unlearnable for Large Language Models

Xin Zhou, Yi Lu, Ruotian Ma, Yujian Wei, Tao Gui

imapScore: Medical Fact Evaluation Made Easy

Huimin Wang, Yutian Zhao, Xian Wu, Yefeng Zheng

DictLLM: Harnessing Key-Value Data Structures with Large Language Models for Enhanced Medical Diagnostics

YiQiu Guo, Yuchen Yang, Ya Zhang, Yu Wang, Yanfeng Wang

LLM Factoscope: Uncovering LLMs’ Factual Discernment through Measuring Inner States

Jinwen He, Yujia Gong, Zijin Lin, Cheng’an Wei, Yue Zhao

Distantly-Supervised Joint Extraction with Noise-Robust Learning

Yufei Li, Xiao Yu, Yanghong Guo, Yanchi Liu, Haifeng Chen

Efficient Continual Pre-training for Building Domain Specific Large Language Models

Yong Xie, Karan Aggarwal, Aitzaz Ahmad

From Discrimination to Generation: Low-Resource Intent Detection with Language Model Instruction Tuning

Feng Zhang, Wei Chen, Fei Ding, Meng Gao, Tengjiao Wang

It’s Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning

Nishant Balepur, Shramay Palta, Rachel Rudinger

Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning

Yiquan Wu, Anlai Zhou, Yuhang Liu, Yifei Liu, Adam Jatowt

Designing Informative Metrics for Few-Shot Example Selection

Rishabh Adiga, Lakshmi Subramanian, Varun Chandrasekaran

MELD-ST: An Emotion-aware Speech Translation Dataset

Sirou Chen, Sakiko Yahata, Shuichiro Shimizu, Zhengdong Yang, Yihang Li

TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation

Gökçe Uludoğan, Zeynep Balal, Furkan Akkurt, Meliksah Turker, Onur Gungor

PARADISE: Evaluating Implicit Planning Skills of Language Models with Procedural Warnings and Tips Dataset

Arda Uzunoğlu, Abdulfattah Safa, Gözde Gül Şahin

An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models

Xiongtao Zhou, Jie He, Yuhua Ke, Guangyao Zhu, Victor Gutierrez Basulto

ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization

David Wan, Koustuv Sinha, Srini Iyer, Asli Celikyilmaz, Mohit Bansal

SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models

Raghuveer Peri, Sai Muralidhar Jayanthi, Srikanth Ronanki, Anshu Bhatia, Karel Mundnich

Fair Federated Learning with Biased Vision-Language Models

Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang

More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation

Jiaxu Zhao, Zijing Shi, Yitong Li, Yulong Pei, Ling Chen

TransFace: Unit-Based Audio-Visual Speech Synthesizer for Talking Head Translation

Xize Cheng, Rongjie Huang, Linjun Li, Zehan Wang, Tao Jin

Direct Preference Optimization with an Offset

Afra Amini, Tim Vieira, Ryan Cotterell

Boosting LLM Agents with Recursive Contemplation for Effective Deception Handling

Shenzhi Wang, Chang Liu, Zilong Zheng, Siyuan Qi, Shuo Chen

MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling

Rui Mao, Kai He, Claudia Ong, Qian Liu, Erik Cambria

Recovering document annotations for sentence-level bitext

Rachel Wicks, Matt Post, Philipp Koehn