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EMNLP 2023

2,732 papers

KBioXLM: A Knowledge-anchored Biomedical Multilingual Pretrained Language Model

Lei Geng, Xu Yan, Ziqiang Cao, Juntao Li, Wenjie Li

Improving Sequential Model Editing with Fact Retrieval

Xiaoqi Han, Ru Li, Hongye Tan, Wang Yuanlong, Qinghua Chai

Long-Horizon Dialogue Understanding for Role Identification in the Game of Avalon with Large Language Models

Simon Stepputtis, Joseph Campbell, Yaqi Xie, Zhengyang Qi, Wenxin Zhang

Improving word mover’s distance by leveraging self-attention matrix

Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira

How Many Demonstrations Do You Need for In-context Learning?

Jiuhai Chen, Lichang Chen, Chen Zhu, Tianyi Zhou

Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning

Duarte M. Alves, Nuno M. Guerreiro, João Alves, José Pombal, Ricardo Rei

Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation

Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu

Mitigating Framing Bias with Polarity Minimization Loss

Yejin Bang, Nayeon Lee, Pascale Fung

Treepiece: Faster Semantic Parsing via Tree Tokenization

Sid Wang, Akshat Shrivastava, Aleksandr Livshits

Natural Response Generation for Chinese Reading Comprehension

Nuo Chen, Hongguang Li, Yinan Bao, Baoyuan Wang, Jia Li

EMO-KNOW: A Large Scale Dataset on Emotion-Cause

Mia Nguyen, Yasith Samaradivakara, Prasanth Sasikumar, Chitralekha Gupta, Suranga Nanayakkara

Chain-of-Thought Reasoning in Tabular Language Models

Mingyu Zheng, Hao Yang, Wenbin Jiang, Zheng Lin, Yajuan Lyu

Toward Human Readable Prompt Tuning: Kubrick’s The Shining is a good movie, and a good prompt too?

Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov

Legally Enforceable Hate Speech Detection for Public Forums

Chu Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu

Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words

Hiroto Kurita, Goro Kobayashi, Sho Yokoi, Kentaro Inui

Robustness of Named-Entity Replacements for In-Context Learning

Saeed Goodarzi, Nikhil Kagita, Dennis Minn, Shufan Wang, Roberto Dessi

Debias NLU Datasets via Training-free Perturbations

Qi Guo, Yuanhang Tang, Yawen Ouyang, Zhen Wu, Xinyu Dai

HuatuoGPT, Towards Taming Language Model to Be a Doctor

Hongbo Zhang, Junying Chen, Feng Jiang, Fei Yu, Zhihong Chen

Argument mining as a multi-hop generative machine reading comprehension task

Boyang Liu, Viktor Schlegel, Riza Batista-Navarro, Sophia Ananiadou

Improving Pacing in Long-Form Story Planning

Yichen Wang, Kevin Yang, Xiaoming Liu, Dan Klein

NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark

Oscar Sainz, Jon Campos, Iker García-Ferrero, Julen Etxaniz, Oier Lopez de Lacalle

SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank

Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang

Image and Text: Fighting the same Battle? Super Resolution Learning for Imbalanced Text Classification

Romain Meunier, Benamara Farah, Véronique Moriceau, Patricia Stolf

Attention-Enhancing Backdoor Attacks Against BERT-based Models

Weimin Lyu, Songzhu Zheng, Lu Pang, Haibin Ling, Chao Chen

Orthogonal Subspace Learning for Language Model Continual Learning

Xiao Wang, Tianze Chen, Qiming Ge, Han Xia, Rong Bao

SummIt: Iterative Text Summarization via ChatGPT

Haopeng Zhang, Xiao Liu, Jiawei Zhang

Ecologically Valid Explanations for Label Variation in NLI

Nan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe

MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities

Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han

SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks

Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi

DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task

Guanting Dong, Tingfeng Hui, Zhuoma GongQue, Jinxu Zhao, Daichi Guo

Improving Low-resource Question Answering by Augmenting Question Information

Andong Chen, Yuan Sun, Xiaobing Zhao, Rosella Galindo Esparza, Kehai Chen

On the Dimensionality of Sentence Embeddings

Hongwei Wang, Hongming Zhang, Dong Yu

Pretraining Language Models with Text-Attributed Heterogeneous Graphs

Tao Zou, Le Yu, Yifei Huang, Leilei Sun, Bowen Du

VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing

Do June Min, Veronica Perez-Rosas, Ken Resnicow, Rada Mihalcea

Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance

Thiemo Wambsganss, Xiaotian Su, Vinitra Swamy, Seyed Parsa Neshaei, Roman Rietsche

TSTR: Target Similarity Tuning Meets the Real World

Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Mukul Singh

Hierarchical Prompting Assists Large Language Model on Web Navigation

Robert Lo, Abishek Sridhar, Frank Xu, Hao Zhu, Shuyan Zhou

Automatic Analysis of Substantiation in Scientific Peer Reviews

Yanzhu Guo, Guokan Shang, Virgile Rennard, Michalis Vazirgiannis, Chloé Clavel

ROME: Evaluating Pre-trained Vision-Language Models on Reasoning beyond Visual Common Sense

Kankan Zhou, Eason Lai, Wei Bin Au Yeong, Kyriakos Mouratidis, Jing Jiang

MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction

Jingheng Ye, Yinghui Li, Yangning Li, Hai-Tao Zheng

Demystifying Prompts in Language Models via Perplexity Estimation

Hila Gonen, Srini Iyer, Terra Blevins, Noah Smith, Luke Zettlemoyer

Who is Speaking? Speaker-Aware Multiparty Dialogue Act Classification

Ayesha Qamar, Adarsh Pyarelal, Ruihong Huang

Towards Enhancing Relational Rules for Knowledge Graph Link Prediction

Shuhan Wu, Huaiyu Wan, Wei Chen, Yuting Wu, Junfeng Shen

LLM aided semi-supervision for efficient Extractive Dialog Summarization

Nishant Mishra, Gaurav Sahu, Iacer Calixto, Ameen Abu-Hanna, Issam Laradji

Semantic Similarity Covariance Matrix Shrinkage

Guillaume Becquin, Saher Esmeir

Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules

Chaojun Xiao, Yuqi Luo, Wenbin Zhang, Pengle Zhang, Xu Han

Towards Detecting Contextual Real-Time Toxicity for In-Game Chat

Zachary Yang, Nicolas Grenon-Godbout, Reihaneh Rabbany

Learn Your Tokens: Word-Pooled Tokenization for Language Modeling

Avijit Thawani, Saurabh Ghanekar, Xiaoyuan Zhu, Jay Pujara

M2C: Towards Automatic Multimodal Manga Complement

Hongcheng Guo, Boyang Wang, Jiaqi Bai, Jiaheng Liu, Jian Yang

DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models

Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter

Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems

Lidiya Murakhovs’ka, Philippe Laban, Tian Xie, Caiming Xiong, Chien-Sheng Wu

On the Calibration of Large Language Models and Alignment

Chiwei Zhu, Benfeng Xu, Quan Wang, Yongdong Zhang, Zhendong Mao

Beyond Denouncing Hate: Strategies for Countering Implied Biases and Stereotypes in Language

Jimin Mun, Emily Allaway, Akhila Yerukola, Laura Vianna, Sarah-Jane Leslie

NEWTON: Are Large Language Models Capable of Physical Reasoning?

Yi Wang, Jiafei Duan, Dieter Fox, Siddhartha Srinivasa