ACL 2024

2,718 papers

Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models

Mingda Li, Xinyu Li, Yifan Chen, Wenfeng Xuan, Weinan Zhang

Locating and Extracting Relational Concepts in Large Language Models

Zijian Wang, Britney Whyte, Chang Xu

Incorporating Syntax and Lexical Knowledge to Multilingual Sentiment Classification on Large Language Models

Hiroshi Kanayama, Yang Zhao, Ran Iwamoto, Takuya Ohko

Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation

Xinyi Mou, zhongyu wei, Xuanjing Huang

Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis

Guangmin Zheng, Jin Wang, Liang-Chih Yu, Xuejie Zhang

Chain-of-Question: A Progressive Question Decomposition Approach for Complex Knowledge Base Question Answering

Peng Yixing, Quan Wang, Licheng Zhang, Yi Liu, Zhendong Mao

MrRank: Improving Question Answering Retrieval System through Multi-Result Ranking Model

Danupat Khamnuansin, Tawunrat Chalothorn, Ekapol Chuangsuwanich

RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback

Yanming Liu, Xinyue Peng, Xuhong Zhang, Weihao Liu, Jianwei Yin

Planning First, Question Second: An LLM-Guided Method for Controllable Question Generation

Kunze Li, Yu Zhang

Two-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report Simplification

Ziyu Yang, Santhosh Cherian, Slobodan Vucetic

Decomposing Co-occurrence Matrices into Interpretable Components as Formal Concepts

Akihiro Maeda, Takuma Torii, Shohei Hidaka

SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification

Difan Jiao, Yilun Liu, Zhenwei Tang, Daniel Matter, Jürgen Pfeffer

X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification

Hanzi Xu, Muhao Chen, Lifu Huang, Slobodan Vucetic, Wenpeng Yin

The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance

Abel Salinas, Fred Morstatter

Probing the Uniquely Identifiable Linguistic Patterns of Conversational AI Agents

Iqra Zahid, Tharindu Madusanka, Riza Batista-Navarro, Youcheng Sun

Tell Me What’s Next: Textual Foresight for Generic UI Representations

Andrea Burns, Kate Saenko, Bryan Plummer

Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations

Xiran Fan, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Mahashweta Das

Automated Detection and Analysis of Data Practices Using A Real-World Corpus

Mukund Srinath, Pranav Venkit, Maria Badillo, Florian Schaub, C. Lee Giles

SyntaxShap: Syntax-aware Explainability Method for Text Generation

Kenza Amara, Rita Sevastjanova, Mennatallah El-Assady

MRL Parsing Without Tears: The Case of Hebrew

Shaltiel Shmidman, Avi Shmidman, Moshe Koppel, Reut Tsarfaty

EmpathicStories++: A Multimodal Dataset for Empathy Towards Personal Experiences

Jocelyn Shen, Yubin Kim, Mohit Hulse, Wazeer Zulfikar, Sharifa Alghowinem

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)

Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing

Semantics or spelling? Probing contextual word embeddings with orthographic noise

Jacob A. Matthews, John R. Starr, Marten van Schijndel

Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQ

Carolin Holtermann, Paul Röttger, Timm Dill, Anne Lauscher

ELAD: Explanation-Guided Large Language Models Active Distillation

Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu, Liang Zhao

LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild

Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang

Multi-Modal Retrieval For Large Language Model Based Speech Recognition

Aditya Gourav, Jari Kolehmainen, Prashanth Shivakumar, Yile Gu, Grant Strimel

URG: A Unified Ranking and Generation Method for Ensembling Language Models

Bo Lv, Chen Tang, Yanan Zhang, Xin Liu, Ping Luo

Do Androids Know They’re Only Dreaming of Electric Sheep?

Sky CH-Wang, Benjamin Van Durme, Jason Eisner, Chris Kedzie

Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios

Shijue Huang, Wanjun Zhong, Jianqiao Lu, Qi Zhu, Jiahui Gao

Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs

Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang

Multi-Objective Linguistic Control of Large Language Models

Dang Nguyen, Jiuhai Chen, Tianyi Zhou

RulE: Knowledge Graph Reasoning with Rule Embedding

Xiaojuan Tang, Song-chun Zhu, Yitao Liang, Muhan Zhang

Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts

Shubham Kumar Nigam, Anurag Sharma, Danush Khanna, Noel Shallum, Kripabandhu Ghosh

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments

Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang

Are Female Carpenters like Blue Bananas? A Corpus Investigation of Occupation Gender Typicality

Da JU, Karen Ullrich, Adina Williams

E2-LLM: Efficient and Extreme Length Extension of Large Language Models

Jiaheng Liu, Zhiqi Bai, Yuanxing Zhang, Chenchen Zhang, Yu Zhang

Wav2SQL: Direct Generalizable Speech-To-SQL Parsing

Huadai Liu, Rongjie Huang, Jinzheng He, Gang Sun, Ran Shen

Selectively Answering Visual Questions

Julian Eisenschlos, Hernán Maina, Guido Ivetta, Luciana Benotti

Context Length Extension via Generalized Extrapolation Scale

Linhan Li, Zhang Huaping

POP-CEE: Position-oriented Prompt-tuning Model for Causal Emotion Entailment

Zhihan Zhou, Xue Gu, Yujie Zhao, Hao Xu

DebugBench: Evaluating Debugging Capability of Large Language Models

Runchu Tian, Yining Ye, Yujia Qin, Xin Cong, Yankai Lin

Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection

Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He

A Survey on Modelling Morality for Text Analysis

Ines Reinig, Maria Becker, Ines Rehbein, Simone Ponzetto

On Efficiently Representing Regular Languages as RNNs

Anej Svete, Robin Chan, Ryan Cotterell

Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking

Zefeng Zhang, Jiawei Sheng, Chuang Zhang, Yunzhi Liang, Wenyuan Zhang

A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task

Jannik Brinkmann, Abhay Sheshadri, Victor Levoso, Paul Swoboda, Christian Bartelt

Perceptions of Language Technology Failures from South Asian English Speakers

Faye Holt, William Held, Diyi Yang

Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality

Jiahuan Pei, Irene Viola, Haochen Huang, Junxiao Wang, Moonisa Ahsan

MovieSum: An Abstractive Summarization Dataset for Movie Screenplays

Rohit Saxena, Frank Keller

M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering

Anand Subramanian, Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Vijay Prakash Dwivedi

GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network

Shuzhou Yuan, Ercong Nie, Michael Färber, Helmut Schmid, Hinrich Schuetze

Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation

Pablo Messina, René Vidal, Denis Parra, Alvaro Soto, Vladimir Araujo

SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models

Lijun Li, Bowen Dong, Ruohui Wang, Xuhao Hu, Wangmeng Zuo

Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint

Xiaowei Yuan, Zhao Yang, Yequan Wang, Shengping Liu, Jun Zhao

Can Large Language Models Mine Interpretable Financial Factors More Effectively? A Neural-Symbolic Factor Mining Agent Model

Zhiwei Li, Ran Song, Caihong Sun, Wei Xu, Zhengtao Yu

Improving In-Context Learning with Prediction Feedback for Sentiment Analysis

Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng

Evaluating LLMs’ Mathematical Reasoning in Financial Document Question Answering

Pragya Srivastava, Manuj Malik, Vivek Gupta, Tanuja Ganu, Dan Roth

Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios

Lei Lin, Jiayi Fu, Pengli Liu, Qingyang Li, Yan Gong

KG-Adapter: Enabling Knowledge Graph Integration in Large Language Models through Parameter-Efficient Fine-Tuning

Shiyu Tian, Yangyang Luo, Tianze Xu, Caixia Yuan, Huixing Jiang

Injecting Salesperson’s Dialogue Strategies in Large Language Models with Chain-of-Thought Reasoning

Wen Chang, Yun-Nung Chen

Knowledge-Driven Cross-Document Relation Extraction

Monika Jain, Raghava Mutharaju, Kuldeep Singh, Ramakanth Kavuluru

Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models

Yingji Li, Mengnan Du, Rui Song, Xin Wang, Ying Wang

Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures

Junjie Chen, Xiangheng He, Danushka Bollegala, Yusuke Miyao

LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs

Kai Wang, Yuwei Xu, Zhiyong Wu, Siqiang Luo

Continual Contrastive Spoken Language Understanding

Umberto Cappellazzo, Enrico Fini, Muqiao Yang, Daniele Falavigna, Alessio Brutti

Pinpointing Diffusion Grid Noise to Enhance Aspect Sentiment Quad Prediction

Linan Zhu, Xiangfan Chen, Xiaolei Guo, Chenwei Zhang, Zhechao Zhu

Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game

Pengyu Cheng, Yifan Yang, Jian Li, Yong Dai, Tianhao Hu

Functional Overlap Reranking for Neural Code Generation

Hung Quoc To, Minh Huynh Nguyen, Nghi D. Q. Bui

A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential

Wei Tang, Yixin Cao, Jiahao Ying, Bo Wang, Yuyue Zhao

Generative Input: Towards Next-Generation Input Methods Paradigm

Keyu Ding, Yongcan Wang, Zihang Xu, Zhenzhen Jia, Enhong Chen

Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives

Thong Nguyen, Yi Bin, Junbin Xiao, Leigang Qu, Yicong Li

Aligning Speech Segments Beyond Pure Semantics

Kevin Heffernan, Artyom Kozhevnikov, Loic Barrault, Alexandre Mourachko, Holger Schwenk

LPNL: Scalable Link Prediction with Large Language Models

Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories

Jia Li, Ge Li, YunFei Zhao, Yongmin Li, Huanyu Liu

Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Method

Tian Xia, Zhiwei He, Tong Ren, yibo miao, Zhuosheng Zhang

Chain-of-Verification Reduces Hallucination in Large Language Models

Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li

Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation

Xu Huang, Zhirui Zhang, Xiang Geng, Yichao Du, Jiajun Chen

How Much Does Nonverbal Communication Conform to Entropy Rate Constancy?: A Case Study on Listener Gaze in Interaction

Yu Wang, Yang Xu, Gabriel Skantze, Hendrik Buschmeier

STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models

Linhai Zhang, Jialong Wu, Deyu Zhou, Guoqiang Xu

DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference

Jialong Wu, Linhai Zhang, Deyu Zhou, Guoqiang Xu

WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing

Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao

Rethinking Negative Instances for Generative Named Entity Recognition

Yuyang Ding, Juntao Li, Pinzheng Wang, Zecheng Tang, Yan Bowen

Compositional Generalization with Grounded Language Models

Sondre Wold, Étienne Simon, Lucas Charpentier, Egor Kostylev, Erik Velldal

GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM Deployment

Yao Yao, Zuchao Li, Hai Zhao

DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs

Haishuo Fang, Xiaodan Zhu, Iryna Gurevych

See It All: Contextualized Late Aggregation for 3D Dense Captioning

Minjung Kim, Hyung Lim, Seung Hwan Kim, Soonyoung Lee, Bumsoo Kim

LIRE: listwise reward enhancement for preference alignment

Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo, Zhendong Mao

Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments

Sangwoo Shin, SeungHyun Kim, Youngsoo Jang, Moontae Lee, Honguk Woo

Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach

Jingyuan Yang, Dapeng Chen, Yajing Sun, Rongjun Li, Zhiyong Feng

Red Teaming Visual Language Models

Mukai Li, Lei Li, Yuwei Yin, Masood Ahmed, Zhenguang Liu

TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models

Jaewoo Ahn, Taehyun Lee, Junyoung Lim, Jin-Hwa Kim, Sangdoo Yun

From Role-Play to Drama-Interaction: An LLM Solution

Weiqi Wu, Hongqiu Wu, Lai Jiang, Xingyuan Liu, Hai Zhao

PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference

Dongjie Yang, Xiaodong Han, Yan Gao, Yao Hu, Shilin Zhang

The Music Maestro or The Musically Challenged, A Massive Music Evaluation Benchmark for Large Language Models

Jiajia Li, Lu Yang, Mingni Tang, Cong Chen, Zuchao Li

Likelihood-based Mitigation of Evaluation Bias in Large Language Models

Masanari Ohi, Masahiro Kaneko, Ryuto Koike, Mengsay Loem, Naoaki Okazaki

Pro-Woman, Anti-Man? Identifying Gender Bias in Stance Detection

Yingjie Li, Yue Zhang

Refine, Align, and Aggregate: Multi-view Linguistic Features Enhancement for Aspect Sentiment Triplet Extraction

Guixin Su, Mingmin Wu, Zhongqiang Huang, Yongcheng Zhang, Tongguan Wang

A Tale of Two Revisions: Summarizing Changes Across Document Versions

Santosh T.y.s.s, Natwar Modani, Apoorv Saxena

Concept-Best-Matching: Evaluating Compositionality In Emergent Communication

Boaz Carmeli, Yonatan Belinkov, Ron Meir