EMNLP

Publications

2023

Ge Gao, Hung-Ting Chen, Yoav Artzi, Eunsol Choi
Continually Improving Extractive QA via Human Feedback. EMNLP (2023)
Qing Wang, Kang Zhou, Qiao Qiao, Yuepei Li, Qi Li
Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs. EMNLP (2023)
Xinge Ma, Jiangming Liu, Jin Wang, Xuejie Zhang
FedID: Federated Interactive Distillation for Large-Scale Pretraining Language Models. EMNLP (2023)
Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning. EMNLP (2023)
Yunzhi Yao, Peng Wang, Shengyu Mao, Chuanqi Tan, Fei Huang, Huajun Chen, Ningyu Zhang
Knowledge Rumination for Pre-trained Language Models. EMNLP (2023)
Xiang Zhang, Senyu Li, Bradley Hauer, Ning Shi, Grzegorz Kondrak
Don't Trust ChatGPT when your Question is not in English: A Study of Multilingual Abilities and Types of LLMs. EMNLP (2023)
Qingyi Si, Yuanxin Liu, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang
Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering. EMNLP (2023)
Yue Fan, Jing Gu, Kaizhi Zheng, Xin Wang
R2H: Building Multimodal Navigation Helpers that Respond to Help Requests. EMNLP (2023)
Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, Jay Pujara
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning. EMNLP (2023)
Yuhao Wu, Karthick Sharma, Chun Seah, Shuhao Zhang
SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams. EMNLP (2023)
Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, Ningyu Zhang
Editing Large Language Models: Problems, Methods, and Opportunities. EMNLP (2023)
Zekun Li, Wenxuan Zhou, Yao-Yi Chiang, Muhao Chen
GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding. EMNLP (2023)
Shaoyang Xu, Junzhuo Li, Deyi Xiong
Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models? EMNLP (2023)
Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan
QTSumm: Query-Focused Summarization over Tabular Data. EMNLP (2023)
Zhongjian Miao, Wen Zhang, Jinsong Su, Xiang Li, Jian Luan, Yidong Chen, Bin Wang, Min Zhang
Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation. EMNLP (2023)
Tomer Wullach, Shlomo E. Chazan
Optimized Tokenization for Transcribed Error Correction. EMNLP (2023)
Aditya K. Surikuchi, Sandro Pezzelle, Raquel Fernández
GROOViST: A Metric for Grounding Objects in Visual Storytelling. EMNLP (2023)
Trang Nguyen, Naoaki Okazaki
Causal Reasoning through Two Cognition Layers for Improving Generalization in Visual Question Answering. EMNLP (2023)
Yi Su, Yixin Ji, Juntao Li, Hai Ye, Min Zhang
Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering. EMNLP (2023)
Yanzhao Zhang, Dingkun Long, Zehan Li, Pengjun Xie
Text Representation Distillation via Information Bottleneck Principle. EMNLP (2023)
Yan Xue, Xuefei Cao, Xingli Yang, Yu Wang, Ruibo Wang, Jihong Li
We Need to Talk About Reproducibility in NLP Model Comparison. EMNLP (2023)
Aviya Maimon, Reut Tsarfaty
COHESENTIA: A Novel Benchmark of Incremental versus Holistic Assessment of Coherence in Generated Texts. EMNLP (2023)
Darshan Prabhu, Preethi Jyothi, Sriram Ganapathy, Vinit Unni
Accented Speech Recognition With Accent-specific Codebooks. EMNLP (2023)
Brian Yu, Hansen Lillemark, Kurt Keutzer
Simple and Effective Input Reformulations for Translation. EMNLP (2023)
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
SOUL: Towards Sentiment and Opinion Understanding of Language. EMNLP (2023)
Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Daxin Jiang
Instructed Language Models with Retrievers Are Powerful Entity Linkers. EMNLP (2023)
Benjamin Newman, Luca Soldaini, Raymond Fok, Arman Cohan, Kyle Lo
A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents. EMNLP (2023)
Matús Pikuliak, Ivan Srba, Róbert Móro, Timo Hromadka, Timotej Smolen, Martin Melisek, Ivan Vykopal, Jakub Simko, Juraj Podrouzek, Mária Bieliková
Multilingual Previously Fact-Checked Claim Retrieval. EMNLP (2023)
Adithya Pratapa, Kevin Small, Markus Dreyer
Background Summarization of Event Timelines. EMNLP (2023)
David Wan, Shiyue Zhang, Mohit Bansal
HistAlign: Improving Context Dependency in Language Generation by Aligning with History. EMNLP (2023)
Sullam Jeoung, Yubin Ge, Jana Diesner
StereoMap: Quantifying the Awareness of Human-like Stereotypes in Large Language Models. EMNLP (2023)
Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych
A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why? EMNLP (2023)
Seraphina Goldfarb-Tarrant, Björn Ross, Adam Lopez
Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis. EMNLP (2023)
Sehyun Choi, Tianqing Fang, Zhaowei Wang, Yangqiu Song
KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection. EMNLP (2023)
Zishan Guo, Linhao Yu, Minghui Xu, Renren Jin, Deyi Xiong
CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types. EMNLP (2023)
Kaiyu Huang, Peng Li, Junpeng Liu, Maosong Sun, Yang Liu
Learn and Consolidate: Continual Adaptation for Zero-Shot and Multilingual Neural Machine Translation. EMNLP (2023)
Yujia Zhou, Zhicheng Dou, Ji-Rong Wen
Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback. EMNLP (2023)
Alban Petit, Caio Corro, François Yvon
Structural generalization in COGS: Supertagging is (almost) all you need. EMNLP (2023)
Mujeen Sung, James Gung, Elman Mansimov, Nikolaos Pappas, Raphael Shu, Salvatore Romeo, Yi Zhang, Vittorio Castelli
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification. EMNLP (2023)
Yichao Zhou, James B. Wendt, Navneet Potti, Jing Xie, Sandeep Tata
Selective Labeling: How to Radically Lower Data-Labeling Costs for Document Extraction Models. EMNLP (2023)
Yu Zhang, Yue Zhang, Leyang Cui, Guohong Fu
Non-autoregressive Text Editing with Copy-aware Latent Alignments. EMNLP (2023)
Raghav Jain, Daivik Sojitra, Arkadeep Acharya, Sriparna Saha, Adam Jatowt, Sandipan Dandapat
Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models. EMNLP (2023)
Shuyan Zhou, Uri Alon, Sumit Agarwal, Graham Neubig
CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code. EMNLP (2023)
Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao
Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization. EMNLP (2023)
Xin Zhang, Linhai Zhang, Deyu Zhou
Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network. EMNLP (2023)
Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. EMNLP (2023)
Zexuan Zhong, Ziqing Huang, Alexander Wettig, Danqi Chen
Poisoning Retrieval Corpora by Injecting Adversarial Passages. EMNLP (2023)
Yongkweon Jeon, Chungman Lee, Kyungphil Park, Ho-Young Kim
A Frustratingly Easy Post-Training Quantization Scheme for LLMs. EMNLP (2023)
Ashish R. Mittal, Sunita Sarawagi, Preethi Jyothi, George Saon, Gakuto Kurata
Speech-enriched Memory for Inference-time Adaptation of ASR Models to Word Dictionaries. EMNLP (2023)
Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations. EMNLP (2023)