EMNLP

Contextualizing the Limits of Model & Evaluation Dataset Curation on Semantic Similarity Classification Tasks

Daniel Theron

Comments To be published in EMNLP 2023 GEM Workshop

FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization

Nan Zhang, Yusen Zhang, Wu Guo, Prasenjit Mitra, Rui Zhang

Comments Main Conference of EMNLP 2023

Bridging Information-Theoretic and Geometric Compression in Language Models

Emily Cheng, Corentin Kervadec, Marco Baroni

Comments EMNLP 2023 Camera-Ready

Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought

Vaishnavi Himakunthala, Andy Ouyang, Daniel Rose, Ryan He, Alex Mei, Yujie Lu, Chinmay Sonar, Michael Saxon, William Yang Wang

Comments Accepted to the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)

How Abstract Is Linguistic Generalization in Large Language Models? Experiments with Argument Structure

Michael Wilson, Jackson Petty, Robert Frank

Comments Accepted to TACL; Presented at EMNLP 2023

MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document

Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin

Comments Findings of EMNLP 2023, long paper

Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models

Yiyuan Li, Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava

Comments EMNLP 2023

RankAug: Augmented data ranking for text classification

Tiasa Singha Roy, Priyam Basu

Comments Accepted at the GEM workshop at EMNLP 2023

Multi-label and Multi-target Sampling of Machine Annotation for Computational Stance Detection

Zhengyuan Liu, Hai Leong Chieu, Nancy F. Chen

Comments Findings of EMNLP 2023. arXiv admin note: text overlap with arXiv:2305.19845

Improving Pacing in Long-Form Story Planning

Yichen Wang, Kevin Yang, Xiaoming Liu, Dan Klein

Comments EMNLP Findings 2023

MixTEA: Semi-supervised Entity Alignment with Mixture Teaching

Feng Xie, Xin Song, Xiang Zeng, Xuechen Zhao, Lei Tian, Bin Zhou, Yusong Tan

Comments Findings of EMNLP 2023; 11 pages, 4 figures; code see https://github.com/Xiefeng69/MixTEA

Data Factors for Better Compositional Generalization

Xiang Zhou, Yichen Jiang, Mohit Bansal

Comments EMNLP 2023 (18 pages)

Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective

Md Tahmid Rahman Laskar, Xue-Yong Fu, Cheng Chen, Shashi Bhushan TN

Comments EMNLP 2023 Industry Track

DELPHI: Data for Evaluating LLMs' Performance in Handling Controversial Issues

David Q. Sun, Artem Abzaliev, Hadas Kotek, Zidi Xiu, Christopher Klein, Jason D. Williams

Comments Accepted to EMNLP Industry Track 2023

On Robustness of Finetuned Transformer-based NLP Models

Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta

Comments 16 pages, 8 figures, To be published in the proceedings of the Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2023), Singapore, Long paper

Fair Without Leveling Down: A New Intersectional Fairness Definition

Gaurav Maheshwari, Aurélien Bellet, Pascal Denis, Mikaela Keller

Comments The paper has been accepted at: The 2023 Conference on Empirical Methods in Natural Language Processing

The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who

Michael Schlichtkrull, Nedjma Ousidhoum, Andreas Vlachos

Comments Accepted to the Findings of EMNLP 2023

Unveiling Safety Vulnerabilities of Large Language Models

George Kour, Marcel Zalmanovici, Naama Zwerdling, Esther Goldbraich, Ora Nova Fandina, Ateret Anaby-Tavor, Orna Raz, Eitan Farchi

Comments To be published in GEM workshop. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2023

Co-training and Co-distillation for Quality Improvement and Compression of Language Models

Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min

Comments Findings of EMNLP 2023

Explicit Planning Helps Language Models in Logical Reasoning

Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei

Comments EMNLP 2023 camera-ready; updated results on PrOntoQA with code bugs fixed

Multitask Multimodal Prompted Training for Interactive Embodied Task Completion

Georgios Pantazopoulos, Malvina Nikandrou, Amit Parekh, Bhathiya Hemanthage, Arash Eshghi, Ioannis Konstas, Verena Rieser, Oliver Lemon, Alessandro Suglia

Comments EMNLP 2023

Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals

Sukannya Purkayastha, Anne Lauscher, Iryna Gurevych

Comments Accepted at EMNLP Main Conference 2023

Noisy Pair Corrector for Dense Retrieval

Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo

Comments Findings of EMNLP 2023

Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models?

Shaoyang Xu, Junzhuo Li, Deyi Xiong

Comments Accepted by EMNLP 2023

Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning

Sarkar Snigdha Sarathi Das, Ranran Haoran Zhang, Peng Shi, Wenpeng Yin, Rui Zhang

Comments Accepted by EMNLP 2023

Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning

Ruosen Li, Xinya Du

Comments Findings of EMNLP 2023

Dimensions of Online Conflict: Towards Modeling Agonism

Matt Canute, Mali Jin, hannah holtzclaw, Alberto Lusoli, Philippa R Adams, Mugdha Pandya, Maite Taboada, Diana Maynard, Wendy Hui Kyong Chun

Comments To appear

Journal ref "Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)". Singapore. December 6-10, 2023

Emergence of Abstract State Representations in Embodied Sequence Modeling

Tian Yun, Zilai Zeng, Kunal Handa, Ashish V. Thapliyal, Bo Pang, Ellie Pavlick, Chen Sun

Comments Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). Project webpage: https://abstract-state-seqmodel.github.io/

Coverage-based Example Selection for In-Context Learning

Shivanshu Gupta, Matt Gardner, Sameer Singh

Comments Accepted to EMNLP 2023 (Findings) Changelog: Added acknowledgments

QTSumm: Query-Focused Summarization over Tabular Data

Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan

Comments Accepted at EMNLP 2023