ACL 2023

2,767 papers

Helping a Friend or Supporting a Cause? Disentangling Active and Passive Cosponsorship in the U.S. Congress

Giuseppe Russo, Christoph Gote, Laurence Brandenberger, Sophia Schlosser, Frank Schweitzer

Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization

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

Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification

Ke Ji, Yixin Lian, Jingsheng Gao, Baoyuan Wang

Learning to Generate Equitable Text in Dialogue from Biased Training Data

Anthony Sicilia, Malihe Alikhani

Dynamic and Efficient Inference for Text Generation via BERT Family

xiaobo liang, Juntao Li, Lijun Wu, Ziqiang Cao, Min Zhang

Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing

Li Du, Xiao Ding, Zhouhao Sun, Ting Liu, Bing Qin

Faithful Low-Resource Data-to-Text Generation through Cycle Training

Zhuoer Wang, Marcus Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi

BREAK: Breaking the Dialogue State Tracking Barrier with Beam Search and Re-ranking

Seungpil Won, Heeyoung Kwak, Joongbo Shin, Janghoon Han, Kyomin Jung

DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation

Guanqun Bi, Lei Shen, Yanan Cao, Meng Chen, Yuqiang Xie

Learning to Substitute Spans towards Improving Compositional Generalization

Zhaoyi Li, Ying Wei, Defu Lian

Gradient-based Intra-attention Pruning on Pre-trained Language Models

Ziqing Yang, Yiming Cui, Xin Yao, Shijin Wang

RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks

Zhaoyang Wang, Zhiyue Liu, Xiaopeng Zheng, Qinliang Su, Jiahai Wang

Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation

Jean Maillard, Cynthia Gao, Elahe Kalbassi, Kaushik Ram Sadagopan, Vedanuj Goswami

Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu

A Survey on Asking Clarification Questions Datasets in Conversational Systems

Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz

Generating EDU Extracts for Plan-Guided Summary Re-Ranking

Griffin Adams, Alex Fabbri, Faisal Ladhak, Noemie Elhadad, Kathleen McKeown

Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step

Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang

DecompX: Explaining Transformers Decisions by Propagating Token Decomposition

Ali Modarressi, Mohsen Fayyaz, Ehsan Aghazadeh, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar

RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models

Zheng Liu, Shitao Xiao, Yingxia Shao, Zhao Cao

Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan

Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment

Shengqiong Wu, Hao Fei, Wei Ji, Tat-Seng Chua

Bi-Phone: Modeling Inter Language Phonetic Influences in Text

Abhirut Gupta, Ananya B. Sai, Richard Sproat, Yuri Vasilevski, James Ren

Improving Gradient Trade-offs between Tasks in Multi-task Text Classification

Heyan Chai, Jinhao Cui, Ye Wang, Min Zhang, Binxing Fang

CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs

Abhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad, Yuan-Fang Li, Yong-Bin Kang

Training-free Neural Architecture Search for RNNs and Transformers

Aaron Serianni, Jugal Kalita

Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach

Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen

What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary

Ori Ram, Liat Bezalel, Adi Zicher, Yonatan Belinkov, Jonathan Berant

Dynamic Routing Transformer Network for Multimodal Sarcasm Detection

Yuan Tian, Nan Xu, Ruike Zhang, Wenji Mao

Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?

Jiashu Xu, Mingyu Derek Ma, Muhao Chen

TableVLM: Multi-modal Pre-training for Table Structure Recognition

Leiyuan Chen, Chengsong Huang, Xiaoqing Zheng, Jinshu Lin, Xuanjing Huang

Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In

Zichun Yu, Chenyan Xiong, Shi Yu, Zhiyuan Liu

MUSTIE: Multimodal Structural Transformer for Web Information Extraction

Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu

Sequence Parallelism: Long Sequence Training from System Perspective

Shenggui Li, Fuzhao Xue, Chaitanya Baranwal, Yongbin Li, Yang You

Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue

Maksim Eremeev, Ilya Valmianski, Xavier Amatriain, Anitha Kannan

StoryARG: a corpus of narratives and personal experiences in argumentative texts

Neele Falk, Gabriella Lapesa

Better Simultaneous Translation with Monotonic Knowledge Distillation

Shushu Wang, Jing Wu, Kai Fan, Wei Luo, Jun Xiao

Learning Optimal Policy for Simultaneous Machine Translation via Binary Search

Shoutao Guo, Shaolei Zhang, Yang Feng

Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations

Xinxi Lyu, Sewon Min, Iz Beltagy, Luke Zettlemoyer, Hannaneh Hajishirzi

What Makes Pre-trained Language Models Better Zero-shot Learners?

Jinghui Lu, Dongsheng Zhu, Weidong Han, Rui Zhao, Brian Mac Namee

Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers

Parikshit Bansal, Amit Sharma

From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained

Hongliang Dai, Ziqian Zeng

SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval

Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang

Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion

Shaoxiang Wu, Damai Dai, Ziwei Qin, Tianyu Liu, Binghuai Lin

MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Moral Discussions

Hao Sun, Zhexin Zhang, Fei Mi, Yasheng Wang, Wei Liu

Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation

Josef Jon, Ondřej Bojar

Improving Translation Quality Estimation with Bias Mitigation

Hui Huang, Shuangzhi Wu, Kehai Chen, Hui Di, Muyun Yang

Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization

Shiyue Zhang, David Wan, Mohit Bansal

AtTGen: Attribute Tree Generation for Real-World Attribute Joint Extraction

Yanzeng Li, Bingcong Xue, Ruoyu Zhang, Lei Zou

KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding

Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov

Robust Multi-bit Natural Language Watermarking through Invariant Features

KiYoon Yoo, Wonhyuk Ahn, Jiho Jang, Nojun Kwak

Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues

Yue Feng, Yunlong Jiao, Animesh Prasad, Nikolaos Aletras, Emine Yilmaz

BIG-C: a Multimodal Multi-Purpose Dataset for Bemba

Claytone Sikasote, Eunice Mukonde, Md Mahfuz Ibn Alam, Antonios Anastasopoulos

Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking

Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin

ELQA: A Corpus of Metalinguistic Questions and Answers about English

Shabnam Behzad, Keisuke Sakaguchi, Nathan Schneider, Amir Zeldes

REV: Information-Theoretic Evaluation of Free-Text Rationales

Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi

Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation

Yuxin Ren, Zihan Zhong, Xingjian SHI, Yi Zhu, Chun Yuan

Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering

Avi Caciularu, Matthew Peters, Jacob Goldberger, Ido Dagan, Arman Cohan

In-Context Analogical Reasoning with Pre-Trained Language Models

Xiaoyang Hu, Shane Storks, Richard Lewis, Joyce Chai

Instruction Induction: From Few Examples to Natural Language Task Descriptions

Or Honovich, Uri Shaham, Samuel R. Bowman, Omer Levy

Rogue Scores

Max Grusky

Do language models have coherent mental models of everyday things?

Yuling Gu, Bhavana Dalvi Mishra, Peter Clark

kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation

Shudong Liu, Xuebo Liu, Derek F. Wong, Zhaocong Li, Wenxiang Jiao

HuCurl: Human-induced Curriculum Discovery

Mohamed Elgaar, Hadi Amiri

Cross-lingual Science Journalism: Select, Simplify and Rewrite Summaries for Non-expert Readers

Mehwish Fatima, Michael Strube

Few-shot Adaptation Works with UnpredicTable Data

Jun Shern Chan, Michael Pieler, Jonathan Jao, Jérémy Scheurer, Ethan Perez

A Cautious Generalization Goes a Long Way: Learning Morphophonological Rules

Salam Khalifa, Sarah Payne, Jordan Kodner, Ellen Broselow, Owen Rambow

White-Box Multi-Objective Adversarial Attack on Dialogue Generation

Yufei Li, Zexin Li, Yingfan Gao, Cong Liu

Precise Zero-Shot Dense Retrieval without Relevance Labels

Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan

Why Aren’t We NER Yet? Artifacts of ASR Errors in Named Entity Recognition in Spontaneous Speech Transcripts

Piotr Szymański, Lukasz Augustyniak, Mikolaj Morzy, Adrian Szymczak, Krzysztof Surdyk

Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modeling

Mingzhu Cai, Siqi Bao, Xin Tian, Huang He, Fan Wang

Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach

Jinfeng Zhou, Zhuang Chen, Bo Wang, Minlie Huang

Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models

Zhong Zhang, Bang Liu, Junming Shao

FAA: Fine-grained Attention Alignment for Cascade Document Ranking

Zhen Li, Chongyang Tao, Jiazhan Feng, Tao Shen, Dongyan Zhao

On Evaluating Multilingual Compositional Generalization with Translated Datasets

Zi Wang, Daniel Hershcovich

DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation

Menglong Lu, Zhen Huang, Yunxiang Zhao, Zhiliang Tian, Yang Liu

Neural Unsupervised Reconstruction of Protolanguage Word Forms

Andre He, Nicholas Tomlin, Dan Klein

Elaboration-Generating Commonsense Question Answering at Scale

Wenya Wang, Vivek Srikumar, Hannaneh Hajishirzi, Noah A. Smith

Chain-of-Skills: A Configurable Model for Open-Domain Question Answering

Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg

Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information

Sunjae Kwon, Rishabh Garodia, Minhwa Lee, Zhichao Yang, Hong Yu

Measuring Progress in Fine-grained Vision-and-Language Understanding

Emanuele Bugliarello, Laurent Sartran, Aishwarya Agrawal, Lisa Anne Hendricks, Aida Nematzadeh

GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding

Konstantin Yakovlev, Alexander Podolskiy, Andrey Bout, Sergey Nikolenko, Irina Piontkovskaya

On Prefix-tuning for Lightweight Out-of-distribution Detection

Yawen Ouyang, Yongchang Cao, Yuan Gao, Zhen Wu, Jianbing Zhang

Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models

Myra Cheng, Esin Durmus, Dan Jurafsky

PMAES: Prompt-mapping Contrastive Learning for Cross-prompt Automated Essay Scoring

Yuan Chen, Xia Li

Compositional Data Augmentation for Abstractive Conversation Summarization

Siru Ouyang, Jiaao Chen, Jiawei Han, Diyi Yang

Cross-Domain Data Augmentation with Domain-Adaptive Language Modeling for Aspect-Based Sentiment Analysis

Jianfei Yu, Qiankun Zhao, Rui Xia

On the Efficacy of Sampling Adapters

Clara Meister, Tiago Pimentel, Luca Malagutti, Ethan Wilcox, Ryan Cotterell

Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye, Lingpeng Kong

Diverse Demonstrations Improve In-context Compositional Generalization

Itay Levy, Ben Bogin, Jonathan Berant

MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction

Wang Jing, Aixin Sun, Hao Zhang, Xiaoli Li

DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization

Yu Li, Baolin Peng, Pengcheng He, Michel Galley, Zhou Yu

A Close Look into the Calibration of Pre-trained Language Models

Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji

Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe

Xiang Yue, Huseyin Inan, Xuechen Li, Girish Kumar, Julia McAnallen

NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation

Shengming Yin, Chenfei Wu, Huan Yang, Jianfeng Wang, Xiaodong Wang

Consistency Regularization Training for Compositional Generalization

Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou

TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning

Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu, Erik Cambria

DialoGPS: Dialogue Path Sampling in Continuous Semantic Space for Data Augmentation in Multi-Turn Conversations

Ang Lv, Jinpeng Li, Yuhan Chen, Gao Xing, Ji Zhang

NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist

Iftitahu Nimah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy

ThinkSum: Probabilistic reasoning over sets using large language models

Batu Ozturkler, Nikolay Malkin, Zhen Wang, Nebojsa Jojic

A Theory of Unsupervised Speech Recognition

Liming Wang, Mark Hasegawa-Johnson, Chang Yoo