ACL 2024

2,718 papers

M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection

Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov

Towards Real-world Scenario: Imbalanced New Intent Discovery

Shun Zhang, Yan Chaoran, Jian Yang, Jiaheng Liu, Ying Mo

Exploring Memorization in Fine-tuned Language Models

Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu

TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation

Yikai Zhang, Siyu Yuan, Caiyu Hu, Kyle Richardson, Yanghua Xiao

Instruction Fusion: Advancing Prompt Evolution through Hybridization

Weidong Guo, Jiuding Yang, Kaitong Yang, Xiangyang Li, Zhuwei Rao

Semiparametric Token-Sequence Co-Supervision

Hyunji Lee, Doyoung Kim, Jihoon Jun, Se June Joo, Joel Jang

Insert or Attach: Taxonomy Completion via Box Embedding

Wei Xue, Yongliang Shen, Wenqi Ren, Jietian Guo, Shiliang Pu

OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Chaoqun He, Renjie Luo, Yuzhuo Bai, Shengding Hu, Zhen Thai

Identifying while Learning for Document Event Causality Identification

Cheng Liu, Wei Xiang, Bang Wang

Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective

Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou

DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Ajay Patel, Colin Raffel, Chris Callison-Burch

MPCoder: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning

Zhenlong Dai, Chang Yao, Wenkang Han, Ying Yuan, Zhipeng Gao

MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations

Yuxin Wang, Ivory Yang, Saeed Hassanpour, Soroush Vosoughi

FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model

Yebin Lee, Imseong Park, Myungjoo Kang

Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference

Jihwan Bang, Juntae Lee, Kyuhong Shim, Seunghan Yang, Simyung Chang

ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling

Lingxi Zhang, Yue Yu, Kuan Wang, Chao Zhang

StreamAtt: Direct Streaming Speech-to-Text Translation with Attention-based Audio History Selection

Sara Papi, Marco Gaido, Matteo Negri, Luisa Bentivogli

SBAAM! Eliminating Transcript Dependency in Automatic Subtitling

Marco Gaido, Sara Papi, Matteo Negri, Mauro Cettolo, Luisa Bentivogli

When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP

Sara Papi, Marco Gaido, Andrea Pilzer, Matteo Negri

Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources

Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang

Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertainty

Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Maarten Sap

Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives

Wenqi Zhang, Yongliang Shen, Linjuan Wu, Qiuying Peng, Jun Wang

What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection

Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo

Language Models Don’t Learn the Physical Manifestation of Language

Bruce Lee, Jaehyuk Lim

A Multi-Task Embedder For Retrieval Augmented LLMs

Peitian Zhang, Zheng Liu, Shitao Xiao, Zhicheng Dou, Jian-Yun Nie

Metaphor Understanding Challenge Dataset for LLMs

Xiaoyu Tong, Rochelle Choenni, Martha Lewis, Ekaterina Shutova

Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts

Xuan-Phi Nguyen, Mahani Aljunied, Shafiq Joty, Lidong Bing

Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval

Zheng Liu, Chaofan Li, Shitao Xiao, Yingxia Shao, Defu Lian

Progressively Modality Freezing for Multi-Modal Entity Alignment

Yani Huang, Xuefeng Zhang, Richong Zhang, Junfan Chen, Jaein Kim

Prompt Expansion for Adaptive Text-to-Image Generation

Siddhartha Datta, Alexander Ku, Deepak Ramachandran, Peter Anderson

Collaboration or Corporate Capture? Quantifying NLP’s Reliance on Industry Artifacts and Contributions

Will Aitken, Mohamed Abdalla, Karen Rudie, Catherine Stinson

Timeline-based Sentence Decomposition with In Context Learning for Temporal Fact Extraction

Jianhao Chen, Haoyuan Ouyang, Junyang Ren, Wentao Ding, Wei Hu

BIPED: Pedagogically Informed Tutoring System for ESL Education

Soonwoo Kwon, Sojung Kim, Minju Park, Seunghyun Lee, Kyuseok Kim

Beyond Memorization: The Challenge of Random Memory Access in Language Models

Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan

OceanGPT: A Large Language Model for Ocean Science Tasks

Zhen Bi, Ningyu Zhang, Yida Xue, Yixin Ou, Daxiong Ji

T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text

Aoxiong Yin, Haoyuan Li, Kai Shen, Siliang Tang, Yueting Zhuang

Attribute First, then Generate: Locally-attributable Grounded Text Generation

Aviv Slobodkin, Eran Hirsch, Arie Cattan, Tal Schuster, Ido Dagan

GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge?

Dayoon Ko, JinYoung Kim, Hahyeon Choi, Gunhee Kim

Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models

Kun Luo, Zheng Liu, Shitao Xiao, Tong Zhou, Yubo Chen

Empowering Character-level Text Infilling by Eliminating Sub-Tokens

Houxing Ren, Mingjie Zhan, Zhongyuan Wu, hongsheng Li

Unified Hallucination Detection for Multimodal Large Language Models

Xiang Chen, Chenxi Wang, Yida Xue, Ningyu Zhang, Xiaoyan Yang

Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark

Chanjun Park, Hyeonwoo Kim, Dahyun Kim, SeongHwan Cho, Sanghoon Kim

Black-Box Prompt Optimization: Aligning Large Language Models without Model Training

Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang

VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval

Junjie Zhou, Zheng Liu, Shitao Xiao, Bo Zhao, Yongping Xiong

UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages

Trinh Pham, Khoi Le, Anh Tuan Luu

Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models

Yuyan Chen, Chenwei Wu, Songzhou Yan, Panjun Liu, Yanghua Xiao

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Yushi Bai, Xin Lv, Jiajie Zhang, Hongchang Lyu, Jiankai Tang

Detoxifying Large Language Models via Knowledge Editing

Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng

An Iterative Associative Memory Model for Empathetic Response Generation

Zhou Yang, Zhaochun Ren, Wang Yufeng, Haizhou Sun, Chao Chen

Can LLMs Learn from Previous Mistakes? Investigating LLMs’ Errors to Boost for Reasoning

Yongqi Tong, Dawei Li, Sizhe Wang, Yujia Wang, Fei Teng

MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning

Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren

Virtual Compiler Is All You Need For Assembly Code Search

Zeyu Gao, Hao Wang, Yuanda Wang, Chao Zhang

ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks

Santosh T.y.s.s, Tuan-Quang Vuong, Matthias Grabmair

AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning

Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou

Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models

Qingkai Min, Qipeng Guo, Xiangkun Hu, Songfang Huang, Zheng Zhang

GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers

Qintong Li, Leyang Cui, Xueliang Zhao, Lingpeng Kong, Wei Bi

Hypergraph based Understanding for Document Semantic Entity Recognition

Qiwei Li, Zuchao Li, Ping Wang, Haojun Ai, Hai Zhao

Training Language Models to Generate Text with Citations via Fine-grained Rewards

Chengyu Huang, Zeqiu Wu, Yushi Hu, Wenya Wang

Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks

Yichen Wang, Shangbin Feng, Abe Hou, Xiao Pu, Chao Shen

Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding

Yiruo Cheng, Kelong Mao, Zhicheng Dou

Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements

Xiao Wei, Qi Xu, Hang Yu, Qian Liu, Erik Cambria

Improving Event Definition Following For Zero-Shot Event Detection

Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Ma, Hritik Bansal

PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA

Sheng wang, Boyang Xue, Jiacheng Ye, Jiyue Jiang, Liheng Chen

Enhancing In-Context Learning via Implicit Demonstration Augmentation

Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee

INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning

Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie

On Context Utilization in Summarization with Large Language Models

Mathieu Ravaut, Aixin Sun, Nancy Chen, Shafiq Joty

Rethinking Task-Oriented Dialogue Systems: From Complex Modularity to Zero-Shot Autonomous Agent

Heng-Da Xu, Xian-Ling Mao, Puhai Yang, Fanshu Sun, Heyan Huang

MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

Zimu Lu, Aojun Zhou, Houxing Ren, Ke Wang, Weikang Shi

ItD: Large Language Models Can Teach Themselves Induction through Deduction

Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei Chen, Shizhu He

Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation

Haonan Chen, Zhicheng Dou, Kelong Mao, Jiongnan Liu, Ziliang Zhao

Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval

Peter Baile Chen, Yi Zhang, Dan Roth

CopyNE: Better Contextual ASR by Copying Named Entities

Shilin Zhou, Zhenghua Li, Yu Hong, Min Zhang, Zhefeng Wang

MELA: Multilingual Evaluation of Linguistic Acceptability

Ziyin Zhang, Yikang Liu, Weifang Huang, Junyu Mao, Rui Wang

Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale

Xiang Hu, Pengyu Ji, Qingyang Zhu, Wei Wu, Kewei Tu

IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models

Tao Feng, Lizhen Qu, Zhuang Li, Haolan Zhan, Yuncheng Hua

SirLLM: Streaming Infinite Retentive LLM

Yao Yao, Zuchao Li, Hai Zhao

Long-Context Language Modeling with Parallel Context Encoding

Howard Yen, Tianyu Gao, Danqi Chen

Time is Encoded in the Weights of Finetuned Language Models

Kai Nylund, Suchin Gururangan, Noah Smith

RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models

Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao

Co-training for Low Resource Scientific Natural Language Inference

Mobashir Sadat, Cornelia Caragea

HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation

Yongsen Zheng, Ruilin Xu, Ziliang Chen, Guohua Wang, Mingjie Qian

Extreme Miscalibration and the Illusion of Adversarial Robustness

Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha

TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models

Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schuetze

Making Long-Context Language Models Better Multi-Hop Reasoners

Yanyang Li, Shuo Liang, Michael Lyu, Liwei Wang

VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models

Seoyeon Kim, Kwangwook Seo, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee

Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression

Peiyu Liu, Ze-Feng Gao, Xin Zhao, Yipeng Ma, Tao Wang

Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering

Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng

Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance

Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li

Surgical Feature-Space Decomposition of LLMs: Why, When and How?

Arnav Chavan, Nahush Lele, Deepak Gupta

MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter

Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen

CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning

Weiqi Wang, Tianqing Fang, Chunyang Li, Haochen Shi, Wenxuan Ding

TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks

Viktor Moskvoretskii, Ekaterina Neminova, Alina Lobanova, Alexander Panchenko, Irina Nikishina

Exploring the Potential of Large Language Models in Computational Argumentation

Guizhen Chen, Liying Cheng, Anh Tuan Luu, Lidong Bing

ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval

Soyoung Yoon, Eunbi Choi, Jiyeon Kim, Hyeongu Yun, Yireun Kim

Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation

Xunjian Yin, Xu Zhang, Jie Ruan, Xiaojun Wan

VariErr NLI: Separating Annotation Error from Human Label Variation

Leon Weber-Genzel, Siyao Peng, Marie-Catherine de Marneffe, Barbara Plank

LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models

Jiaqi Zhao, Miao Zhang, Chao Zeng, Ming Wang, Xuebo Liu

Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild

Ting Wu, Jingyi Liu, Rui Zheng, Tao Gui, Qi Zhang

A synthetic data approach for domain generalization of NLI models

Mohammad Javad Hosseini, Andrey Petrov, Alex Fabrikant, Annie Louis

ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages

Junjie Ye, Sixian Li, Guanyu Li, Caishuang Huang, Songyang Gao