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Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing

共收录 7868
2312.02820 2023-12-06 cs.CL cs.AI

Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix

Xinyu Ma, Xuebo Liu, Min Zhang

Comments Accepted to EMNLP 2023

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2312.02748 2023-12-06 cs.CL cs.LG

Compositional Generalization for Data-to-Text Generation

Xinnuo Xu, Ivan Titov, Mirella Lapata

Journal ref Findings of EMNLP 2023

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2312.02206 2023-12-06 cs.AI cs.CL

Axiomatic Preference Modeling for Longform Question Answering

Corby Rosset, Guoqing Zheng, Victor Dibia, Ahmed Awadallah, Paul Bennett

Comments Accepted to EMNLP 2023

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2310.20138 2023-12-06 cs.CR cs.CL

DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models

Xinwei Wu, Junzhuo Li, Minghui Xu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong

Comments EMNLP 2023

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2310.16570 2023-12-06 cs.CL

Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models

Paul Youssef, Osman Alperen Koraş, Meijie Li, Jörg Schlötterer, Christin Seifert

Comments Accepted at EMNLP Findings 2023

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2212.09917 2023-12-06 cs.CL

Inverse Reinforcement Learning for Text Summarization

Yu Fu, Deyi Xiong, Yue Dong

Comments 8 pages, 2 figures; accepted to Findings of EMNLP 2013

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2312.02118 2023-12-05 cs.CL cs.CY cs.SI

When it Rains, it Pours: Modeling Media Storms and the News Ecosystem

Benjamin Litterer, David Jurgens, Dallas Card

Comments Findings of EMNLP 2023; 16 pages; 12 figures; 4 tables

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2312.01582 2023-12-05 cs.CL

Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences

Eleftheria Briakou, Navita Goyal, Marine Carpuat

Comments EMNLP 2023

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2312.01564 2023-12-05 cs.LG cs.AI cs.CL cs.CV

APoLLo: Unified Adapter and Prompt Learning for Vision Language Models

Sanjoy Chowdhury, Sayan Nag, Dinesh Manocha

Comments Accepted at EMNLP 2023 (Main track)

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2312.01398 2023-12-05 cs.CL cs.AI cs.LG

Towards Mitigating Perceived Unfairness in Contracts from a Non-Legal Stakeholder's Perspective

Anmol Singhal, Preethu Rose Anish, Shirish Karande, Smita Ghaisas

Comments 9 pages, 2 figures, to be published in Natural Legal Language Processing Workshop at EMNLP 2023

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2312.00960 2023-12-05 cs.CL cs.AI cs.LG

The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models

Satya Sai Srinath Namburi, Makesh Sreedhar, Srinath Srinivasan, Frederic Sala

Comments Accepted to EMNLP 2023 Findings

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2312.00912 2023-12-05 cs.CL cs.LG cs.PL

Quick Back-Translation for Unsupervised Machine Translation

Benjamin Brimacombe, Jiawei Zhou

Comments Published in EMNLP 2023 Findings. Source code can be found at the following link: https://github.com/bbrimacombe/Quick-Back-Translation

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2312.00874 2023-12-05 cs.CL

Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining

Jingcong Liang, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei

Comments to be published in EMNLP 2023

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2311.00587 2023-12-05 cs.CL

Crosslingual Retrieval Augmented In-context Learning for Bangla

Xiaoqian Li, Ercong Nie, Sheng Liang

Comments In The 1st Bangla Language Processing (BLP) Workshop, held in conjunction with The Conference on Empirical Methods in Natural Language Processing (EMNLP), December 2023

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2310.13760 2023-12-05 cs.CL

Enhancing Abstractiveness of Summarization Models through Calibrated Distillation

Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour

Comments Accepted at EMNLP-Findings 2023

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2310.09219 2023-12-05 cs.CL cs.AI

"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters

Yixin Wan, George Pu, Jiao Sun, Aparna Garimella, Kai-Wei Chang, Nanyun Peng

Comments Accepted to EMNLP 2023 Findings

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2305.14735 2023-12-05 cs.CL cs.AI cs.LG

Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection

Vyoma Raman, Eve Fleisig, Dan Klein

Comments EMNLP 2023

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2305.14296 2023-12-05 cs.CL cs.LG

USB: A Unified Summarization Benchmark Across Tasks and Domains

Kundan Krishna, Prakhar Gupta, Sanjana Ramprasad, Byron C. Wallace, Jeffrey P. Bigham, Zachary C. Lipton

Comments EMNLP Findings 2023 Camera Ready

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2305.11550 2023-12-05 cs.CL

Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens

David Stap, Vlad Niculae, Christof Monz

Comments Accepted to EMNLP 2023 Findings

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2305.04782 2023-12-05 cs.CL cs.AI cs.LG

HistAlign: Improving Context Dependency in Language Generation by Aligning with History

David Wan, Shiyue Zhang, Mohit Bansal

Comments EMNLP 2023 (20 pages)

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2304.01196 2023-12-05 cs.CL cs.AI

Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data

Canwen Xu, Daya Guo, Nan Duan, Julian McAuley

Comments Baize v2; EMNLP 2023

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2212.09928 2023-12-05 cs.CL cs.LG

Improving the Robustness of Summarization Models by Detecting and Removing Input Noise

Kundan Krishna, Yao Zhao, Jie Ren, Balaji Lakshminarayanan, Jiaming Luo, Mohammad Saleh, Peter J. Liu

Comments EMNLP Findings 2023 Camera Ready

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2010.02180 2023-12-05 cs.CL cs.LG

Pareto Probing: Trading Off Accuracy for Complexity

Tiago Pimentel, Naomi Saphra, Adina Williams, Ryan Cotterell

Comments Tiago Pimentel and Naomi Saphra contributed equally to this work. Camera ready version of EMNLP 2020 publication. In this new version, we fixed some notation issues in the appendix, and added a new appendix section describing our MLP. Code available in https://github.com/rycolab/pareto-probing

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2312.00688 2023-12-04 cs.CL cs.AI cs.LG cs.LO

Towards Transparency in Coreference Resolution: A Quantum-Inspired Approach

Hadi Wazni, Mehrnoosh Sadrzadeh

Comments CRAC 2023, the Sixth Workshop on Computational Models of Reference, Anaphora and Coreference, EMNLP 2023

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2312.00552 2023-12-04 cs.CL

Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs

Qing Wang, Kang Zhou, Qiao Qiao, Yuepei Li, Qi Li

Comments Accepted by EMNLP 2023 Main Conference

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2312.00434 2023-12-04 cs.LG cs.AI cs.CY

PEFTDebias : Capturing debiasing information using PEFTs

Sumit Agarwal, Aditya Srikanth Veerubhotla, Srijan Bansal

Comments EMNLP 2023

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2312.00407 2023-12-04 cs.CL

CoLLiE: Collaborative Training of Large Language Models in an Efficient Way

Kai Lv, Shuo Zhang, Tianle Gu, Shuhao Xing, Jiawei Hong, Keyu Chen, Xiaoran Liu, Yuqing Yang, Honglin Guo, Tengxiao Liu, Yu Sun, Qipeng Guo, Hang Yan, Xipeng Qiu

Comments To appear at EMNLP 2023 Demo; Code is available at https://github.com/OpenLMLab/collie

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2312.00349 2023-12-04 cs.CL cs.AI

The Case for Scalable, Data-Driven Theory: A Paradigm for Scientific Progress in NLP

Julian Michael

Comments 13 pages, 3 figures, 2 tables. Presented at The Big Picture Workshop at EMNLP 2023

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2312.00100 2023-12-04 cs.CL

Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines

Stephen Bothwell, Justin DeBenedetto, Theresa Crnkovich, Hildegund Müller, David Chiang

Comments 32 pages, 16 figures, 18 tables. Accepted at EMNLP 2023

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2305.12191 2023-12-04 cs.CL

Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs

Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras

Comments EMNLP 2023

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