ACL 2024

2,718 papers

An Empirical Study on the Characteristics of Bias upon Context Length Variation for Bangla

Jayanta Sadhu, Ayan Khan, Abhik Bhattacharjee, Rifat Shahriyar

Revisiting Multimodal Transformers for Tabular Data with Text Fields

Thomas Bonnier

Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings

Hanane Kteich, Na Li, Usashi Chatterjee, Zied Bouraoui, Steven Schockaert

RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models

Saeed Najafi, Alona Fyshe

Temporal Validity Change Prediction

Georg Wenzel, Adam Jatowt

An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction

Shen Zhou, Yongqi Li, xin miao, Tieyun Qian

Uncovering Limitations of Large Language Models in Information Seeking from Tables

Chaoxu Pang, Yixuan Cao, Chunhao Yang, Ping Luo

Teacher-Student Training for Debiasing: General Permutation Debiasing for Large Language Models

Adian Liusie, Yassir Fathullah, Mark Gales

Unveiling the Achilles’ Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models

Yiming Chen, Chen Zhang, Danqing Luo, Luis Fernando D’Haro, Robby Tan

Flexible Weight Tuning and Weight Fusion Strategies for Continual Named Entity Recognition

Yahan Yu, Duzhen Zhang, Xiuyi Chen, Chenhui Chu

FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts

Shubhankar Singh, Purvi Chaurasia, Yerram Varun, Pranshu Pandya, Vatsal Gupta

Learning Job Title Representation from Job Description Aggregation Network

Napat Laosaengpha, Thanit Tativannarat, Chawan Piansaddhayanon, Attapol Rutherford, Ekapol Chuangsuwanich

LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition

Jinyuan Li, Han Li, Di Sun, Jiahao Wang, Wenkun Zhang

Neurons in Large Language Models: Dead, N-gram, Positional

Elena Voita, Javier Ferrando, Christoforos Nalmpantis

Boosting Textural NER with Synthetic Image and Instructive Alignment

Jiahao Wang, Wenjun Ke, Peng Wang, Hang Zhang, Dong Nie

GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving

Jiaxin Zhang, Zhong-Zhi Li, Ming-Liang Zhang, Fei Yin, Cheng-lin Liu

SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning

Zhihao Wen, Jie Zhang, Yuan Fang

BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning

Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang

Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models

Zhuoran jin, Pengfei Cao, Hongbang Yuan, Yubo Chen, Jiexin Xu

MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning

Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng

BEnQA: A Question Answering Benchmark for Bengali and English

Sheikh Shafayat, H M Quamran Hasan, Minhajur Rahman Chowdhury Mahim, Rifki Afina Putri, James Thorne

Modelling Variability in Human Annotator Simulation

Wen Wu, Wenlin Chen, Chao Zhang, Phil Woodland

CoLLaVO: Crayon Large Language and Vision mOdel

Byung-Kwan Lee, Beomchan Park, Chae Won Kim, Yong Man Ro

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset

Minjin Kim, Minju Kim, Hana Kim, Beong-woo Kwak, SeongKu Kang

PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain

Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai

Prompt-Based Length Controlled Generation with Multiple Control Types

Renlong Jie, Xiaojun Meng, Lifeng Shang, Xin Jiang, Qun Liu

Controllable Text Generation with Residual Memory Transformer

Hanqing Zhang, Si Sun, Haiming Wu, Dawei Song

Realistic Evaluation of Toxicity in Large Language Models

Tinh Luong, Thanh-Thien Le, Linh Ngo, Thien Nguyen

Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers

Haowen Pan, Yixin Cao, Xiaozhi Wang, Xun Yang, Meng Wang

Better Late Than Never: Model-Agnostic Hallucination Post-Processing Framework Towards Clinical Text Summarization

Songda Li, Yunqi Zhang, Chunyuan Deng, Yake Niu, Hui Zhao

EconNLI: Evaluating Large Language Models on Economics Reasoning

Yue Guo, Yi Yang

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo

Implanting LLM’s Knowledge via Reading Comprehension Tree for Toxicity Detection

Hankun Kang, Tieyun Qian

Exploring Mathematical Extrapolation of Large Language Models with Synthetic Data

Haolong Li, Yu Ma, Yinqi Zhang, Chen Ye, Jie Chen

DiffusPoll: Conditional Text Diffusion Model for Poll Generation

Le Cheng, Shuangyin Li

MARIO: MAth Reasoning with code Interpreter Output - A Reproducible Pipeline

Minpeng Liao, Chengxi Li, Wei Luo, Wu Jing, Kai Fan

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering

Yichi Zhang, Zhuo Chen, Yin Fang, Yanxi Lu, Li Fangming

Are U a Joke Master? Pun Generation via Multi-Stage Curriculum Learning towards a Humor LLM

Yang Chen, Chong Yang, Tu Hu, Xinhao Chen, Man Lan

Effective In-Context Example Selection through Data Compression

Zhongxiang Sun, Kepu Zhang, Haoyu Wang, Xiao Zhang, Jun Xu

Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step

Li Zhong, Zilong Wang, Jingbo Shang

Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph

Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong

Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding

Fanyi Qu, Hao Sun, Yunfang Wu

MELOV: Multimodal Entity Linking with Optimized Visual Features in Latent Space

Xuhui Sui, Ying Zhang, Yu Zhao, Kehui Song, Baohang Zhou

How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering

Jinxin Liu, Shulin Cao, Jiaxin Shi, Tingjian Zhang, Lunyiu Nie

Incremental Sequence Labeling: A Tale of Two Shifts

Shengjie Qiu, Junhao Zheng, Zhen Liu, Yicheng Luo, Qianli Ma

Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions

Wenxuan Wang, Yisi Zhang, Xingjian He, Yichen Yan, Zijia Zhao

BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence

Jiajie Jin, Yutao Zhu, Yujia Zhou, Zhicheng Dou

Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning

Kung-Hsiang Huang, Mingyang Zhou, Hou Pong Chan, Yi Fung, Zhenhailong Wang

CodeM: Less Data Yields More Versatility via Ability Matrix

Daoguang Zan, Ailun Yu, Wei Liu, Bo Shen, Shaoxin Lin

Large Language Models can Share Images, Too!

Young-jun Lee, Dokyong Lee, Joo Won Sung, Jonghwan Hyeon, Ho-Jin Choi

Towards Better Graph-based Cross-document Relation Extraction via Non-bridge Entity Enhancement and Prediction Debiasing

Hao Yue, Shaopeng Lai, Chengyi Yang, Liang Zhang, Junfeng Yao

Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models

Yuchen Hu, Chen Chen, Chengwei Qin, Qiushi Zhu, Eng Siong Chng

PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning

Tianci Xue, Ziqi Wang, Yixia Li, Yun Chen, Guanhua Chen

DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models

Baohang Zhou, Zezhong Wang, Lingzhi Wang, Hongru Wang, Ying Zhang

Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models

Yiming Wang, Zhuosheng Zhang, Pei Zhang, Baosong Yang, Rui Wang

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Xiangru Tang, Anni Zou, Zhuosheng Zhang, Ziming Li, Yilun Zhao

Resonance RoPE: Improving Context Length Generalization of Large Language Models

Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu

Muffin: Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback

Jiashuo WANG, Chunpu Xu, Chak Tou Leong, Wenjie Li, Jing Li

X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions

Chong Li, Wen Yang, Jiajun Zhang, Jinliang Lu, Shaonan Wang

Benchmarking Cognitive Biases in Large Language Models as Evaluators

Ryan Koo, Minhwa Lee, Vipul Raheja, Jong Inn Park, Zae Myung Kim

Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution

Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun

InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model

Haogeng Liu, Quanzeng You, Yiqi Wang, Xiaotian Han, Bohan Zhai

LLM-QAT: Data-Free Quantization Aware Training for Large Language Models

Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock

BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra

Parker Glenn, Parag Dakle, Liang Wang, Preethi Raghavan

Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation

Brooklyn Sheppard, Anna Richter, Allison Cohen, Elizabeth Smith, Tamara Kneese

Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs

Naihao Deng, Zhenjie Sun, Ruiqi He, Aman Sikka, Yulong Chen

ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations

Sreyan Ghosh, Chandra Kiran Evuru, Sonal Kumar, Utkarsh Tyagi, S Sakshi

Prompt Engineering a Prompt Engineer

Qinyuan Ye, Mohamed Ahmed, Reid Pryzant, Fereshte Khani

ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction

Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang

Are self-explanations from Large Language Models faithful?

Andreas Madsen, Sarath Chandar, Siva Reddy

Small Models are Valuable Plug-ins for Large Language Models

Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu

Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios

Yuhang Zhou, Wei Ai

P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models

Shuo Yang, Chenchen Yuan, Yao Rong, Felix Steinbauer, Gjergji Kasneci

Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling

Chengxu Zhuang, Evelina Fedorenko, Jacob Andreas

MediSwift: Efficient Sparse Pre-trained Biomedical Language Models

Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Chen-Yu Leong, Joel Hestness

How Important is a Language Model for Low-resource ASR?

Zoey Liu, Nitin Venkateswaran, Eric Le Ferrand, Emily Prud’hommeaux

Text2DB: Integration-Aware Information Extraction with Large Language Model Agents

Yizhu Jiao, Sha Li, Sizhe Zhou, Heng Ji, Jiawei Han

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang

A Grounded Preference Model for LLM Alignment

Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan, Asaf Yehudai, Subhajit Chaudhury

Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation

Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka

CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support

Chao-Chun Hsu, Erin Bransom, Jenna Sparks, Bailey Kuehl, Chenhao Tan

The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations?

Alex Gu, Wen-Ding Li, Naman Jain, Theo Olausson, Celine Lee

Unveiling Imitation Learning: Exploring the impact of Data Falsity to Large Language Model

Hyunsoo Cho

Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System

Chen Chen, Ruizhe Li, Yuchen Hu, Yuanyuan Chen, Chengwei Qin

End-to-End Emotion Semantic Parsing

Xiaotong Jiang, Zhongqing Wang, Guodong Zhou

AFPQ: Asymmetric Floating Point Quantization for LLMs

Yijia Zhang, Sicheng Zhang, Shijie Cao, DaYou Du, Jianyu Wei

Match More, Extract Better! Hybrid Matching Model for Open Domain Web Keyphrase Extraction

Mingyang Song, Liping Jing, Yi Feng

Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation

Letian Peng, Yuwei Zhang, Jingbo Shang

Watermarking for Large Language Models

Xuandong Zhao, Yu-Xiang Wang, Lei Li

Vulnerabilities of Large Language Models to Adversarial Attacks

Yu Fu, Erfan Shayegan, Md. Mamun Al Abdullah, Pedram Zaree, Nael Abu-Ghazaleh

Presentation Matters: How to Communicate Science in the NLP Venues and in the Wild

Sarvnaz Karimi, Cecile Paris, Gholamreza Haffari

Computational Expressivity of Neural Language Models

Alexandra Butoi, Robin Chan, Ryan Cotterell, William Merrill, Franz Nowak

Automatic and Human-AI Interactive Text Generation (with a focus on Text Simplification and Revision)

Yao Dou, Philippe Laban, Claire Gardent, Wei Xu

Computational Linguistics for Brain Encoding and Decoding: Principles, Practices and Beyond

Jingyuan Sun, Shaonan Wang, Zijiao Chen, Jixing Li, Marie-Francine Moens

Foundation Model for Biomedical Graphs: Integrating Knowledge Graphs and Protein Structures to Large Language Models

Yunsoo Kim

Plot Retrieval as an Assessment of Abstract Semantic Association

Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng

Z-coref: Thai Coreference and Zero Pronoun Resolution

Poomphob Suwannapichat, Sansiri Tarnpradab, Santitham Prom-on

Automatically Suggesting Diverse Example Sentences for L2 Japanese Learners Using Pre-Trained Language Models

Enrico Benedetti, Akiko Aizawa, Florian Boudin

On the Interpretability of Deep Learning Models for Collaborative Argumentation Analysis in Classrooms

Deliang Wang, Gaowei Chen

MoExtend: Tuning New Experts for Modality and Task Extension

Shanshan Zhong, Shanghua Gao, Zhongzhan Huang, Wushao Wen, Marinka Zitnik