EMNLP

DUnE: Dataset for Unified Editing

Afra Feyza Akyürek, Eric Pan, Garry Kuwanto, Derry Wijaya

Comments Accepted at EMNLP 2023

BERT Goes Off-Topic: Investigating the Domain Transfer Challenge using Genre Classification

Dmitri Roussinov, Serge Sharoff

Comments Published at EMNLP'2023

Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs

Simone Conia, Min Li, Daniel Lee, Umar Farooq Minhas, Ihab Ilyas, Yunyao Li

Comments Camera ready for EMNLP 2023

FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models

Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang

Comments Accepted to EMNLP 2023 (Main conference)

Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval

Fan Jiang, Qiongkai Xu, Tom Drummond, Trevor Cohn

Comments Accepted by EMNLP 2023 Findings

Noisy Self-Training with Synthetic Queries for Dense Retrieval

Fan Jiang, Tom Drummond, Trevor Cohn

Comments Accepted by EMNLP 2023 Findings

Solving the Right Problem is Key for Translational NLP: A Case Study in UMLS Vocabulary Insertion

Bernal Jimenez Gutierrez, Yuqing Mao, Vinh Nguyen, Kin Wah Fung, Yu Su, Olivier Bodenreider

Comments EMNLP 2023 Findings; Code is available at https://github.com/OSU-NLP-Group/UMLS-Vocabulary-Insertion

Multilingual self-supervised speech representations improve the speech recognition of low-resource African languages with codeswitching

Tolúlopé Ògúnrèmí, Christopher D. Manning, Dan Jurafsky

Comments 5 pages, 1 figure. Computational Approaches to Linguistic Code-Switching, CALCS 2023 (co-located with EMNLP 2023)

E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation

Fengyi Fu, Lei Zhang, Quan Wang, Zhendong Mao

Comments 19 pages, 6 figures

Journal ref Conference on Empirical Methods in Natural Language Processing, EMNLP 2023

Walking a Tightrope -- Evaluating Large Language Models in High-Risk Domains

Chia-Chien Hung, Wiem Ben Rim, Lindsay Frost, Lars Bruckner, Carolin Lawrence

Comments EMNLP 2023 Workshop on Benchmarking Generalisation in NLP (GenBench)

Vector-Quantized Prompt Learning for Paraphrase Generation

Haotian Luo, Yixin Liu, Peidong Liu, Xianggen Liu

Comments EMNLP Findings, 2023

Faster Minimum Bayes Risk Decoding with Confidence-based Pruning

Julius Cheng, Andreas Vlachos

Comments Updated from EMNLP 2023 version: typo fix, minor math notation change, updated citation

WordArt Designer: User-Driven Artistic Typography Synthesis using Large Language Models

Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Jingdong Sun, Wangmeng Xiang, Xianhui Lin, Xiaoyang Kang, Zengke Jin, Yusen Hu, Bin Luo, Yifeng Geng, Xuansong Xie, Jingren Zhou

Comments Accepted by EMNLP 2023, 10 pages, 11 figures, 1 table, the system is at https://www.modelscope.cn/studios/WordArt/WordArt

Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking

Yuxiang Wu, Guanting Dong, Weiran Xu

Comments Accepted to the Findings of EMNLP 2023 (Short Paper)

DocAsRef: An Empirical Study on Repurposing Reference-Based Summary Quality Metrics Reference-Freely

Forrest Sheng Bao, Ruixuan Tu, Ge Luo, Yinfei Yang, Hebi Li, Minghui Qiu, Youbiao He, Cen Chen

Comments Accepted into Findings of EMNLP 2023

Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions

Shulin Cao, Jiajie Zhang, Jiaxin Shi, Xin Lv, Zijun Yao, Qi Tian, Juanzi Li, Lei Hou

Comments Accepted by EMNLP 2023

Dialogue Quality and Emotion Annotations for Customer Support Conversations

John Mendonça, Patrícia Pereira, Miguel Menezes, Vera Cabarrão, Ana C. Farinha, Helena Moniz, João Paulo Carvalho, Alon Lavie, Isabel Trancoso

Comments Accepted at GEM (EMNLP Workshop)

Efficient Transformer Knowledge Distillation: A Performance Review

Nathan Brown, Ashton Williamson, Tahj Anderson, Logan Lawrence

Comments Accepted to EMNLP 2023. 12 pages, 1 figure, 11 tables. Models and data available at https://huggingface.co/giant-oak

LLM aided semi-supervision for Extractive Dialog Summarization

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

Comments to be published in EMNLP Findings

Causal Inference from Text: Unveiling Interactions between Variables

Yuxiang Zhou, Yulan He

Comments EMNLP 2023 Findings (mark typo corrected)

Revisiting Large Language Models as Zero-shot Relation Extractors

Guozheng Li, Peng Wang, Wenjun Ke

Comments Findings of EMNLP 2023

Clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents

Kranti Chalamalasetti, Jana Götze, Sherzod Hakimov, Brielen Madureira, Philipp Sadler, David Schlangen

Comments EMNLP 2023

VISIT: Visualizing and Interpreting the Semantic Information Flow of Transformers

Shahar Katz, Yonatan Belinkov

Comments EMNLP Findings 2023

MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding

Steven H. Wang, Antoine Scardigli, Leonard Tang, Wei Chen, Dimitry Levkin, Anya Chen, Spencer Ball, Thomas Woodside, Oliver Zhang, Dan Hendrycks

Comments EMNLP 2023. 5 pages + appendix. Code and dataset are available at https://github.com/TheAtticusProject/maud

Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering

Inderjeet Nair, Shwetha Somasundaram, Apoorv Saxena, Koustava Goswami

Comments Accepted to the Findings of EMNLP 2023

Complexity-Guided Curriculum Learning for Text Graphs

Nidhi Vakil, Hadi Amiri

Comments Long Paper Accepted at EMNLP 2023

ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation

Yangyi Chen, Xingyao Wang, Manling Li, Derek Hoiem, Heng Ji

Comments Accepted to EMNLP 2023

On the Calibration of Large Language Models and Alignment

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

Comments to be published in findings of EMNLP-2023

Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus

Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu

Comments Accepted by EMNLP 2023 (main conference)

HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning

Yongjin Yang, Joonkee Kim, Yujin Kim, Namgyu Ho, James Thorne, Se-young Yun

Comments Findings of EMNLP 2023; The first three authors contribute equally