EMNLP

Multi-level Contrastive Learning for Script-based Character Understanding

Dawei Li, Hengyuan Zhang, Yanran Li, Shiping Yang

Comments Accepted by EMNLP 2023 main conference; Camera-ready version will be updated soon

The Less the Merrier? Investigating Language Representation in Multilingual Models

Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Jugal Kalita

Comments Accepted to EMNLP 2023(Findings)

Retrieval-Generation Alignment for End-to-End Task-Oriented Dialogue System

Weizhou Shen, Yingqi Gao, Canbin Huang, Fanqi Wan, Xiaojun Quan, Wei Bi

Comments Accepted to EMNLP 2023 Main Conference

Hierarchical Pretraining on Multimodal Electronic Health Records

Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma

Comments Accepted by EMNLP 2023

An Empirical Study of Instruction-tuning Large Language Models in Chinese

Qingyi Si, Tong Wang, Zheng Lin, Xu Zhang, Yanan Cao, Weiping Wang

Comments EMNLP 2023

SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA

Jonathan Tonglet, Manon Reusens, Philipp Borchert, Bart Baesens

Comments Camera ready revision for EMNLP 2023 main conference. Code available at https://github.com/jtonglet/SEER

Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models

Haoran Wang, Kai Shu

Comments Findings of EMNLP 2023

A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis

Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan

Comments EMNLP 2023. 18 pages, 19 figures

Getting MoRE out of Mixture of Language Model Reasoning Experts

Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan Boyd-Graber

Comments EMNLP 2023 Findings

Text-guided 3D Human Generation from 2D Collections

Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oğuz, William Yang Wang

Comments EMNLP'23 (Findings) ; Project website: https://text-3dh.github.io/

Question Answering as Programming for Solving Time-Sensitive Questions

Xinyu Zhu, Cheng Yang, Bei Chen, Siheng Li, Jian-Guang Lou, Yujiu Yang

Comments Accepted to EMNLP 2023 Main Conference

PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training

Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han

Comments Accepted to EMNLP 2023 Main Conference

ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue

Haoqin Tu, Yitong Li, Fei Mi, Zhongliang Yang

Comments 15 pages, accepted to EMNLP 2023 (main)

BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance

Karel D'Oosterlinck, François Remy, Johannes Deleu, Thomas Demeester, Chris Develder, Klim Zaporojets, Aneiss Ghodsi, Simon Ellershaw, Jack Collins, Christopher Potts

Comments 28 pages. EMNLP Findings 2023

Can LLMs facilitate interpretation of pre-trained language models?

Basel Mousi, Nadir Durrani, Fahim Dalvi

Comments EMNLP 2023

Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents

Jannis Vamvas, Rico Sennrich

Comments EMNLP 2023

Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization

Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing

Comments 19 pages, 5 figures

Journal ref Findings of EMNLP 2023

Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings

Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer, Nora Kassner, Simone Merello, Louis Martin, Nicola Cancedda

Comments Accepted at EMNLP 2023

What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability

Mario Giulianelli, Joris Baan, Wilker Aziz, Raquel Fernández, Barbara Plank

Comments Camera ready version for EMNLP 2023

Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning

Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, Jay Pujara

Comments Accepted to EMNLP 2023 main conference. 14 pages, 4 figures, 10 tables

A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding

Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo

Comments Accepted in EMNLP 2023, revision contains camera ready edits. Data can be downloaded at https://github.com/google-research-datasets/wit/blob/main/wikiweb2m.md

We're Afraid Language Models Aren't Modeling Ambiguity

Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi

Comments EMNLP 2023 camera-ready

Enhancing Textbooks with Visuals from the Web for Improved Learning

Janvijay Singh, Vilém Zouhar, Mrinmaya Sachan

Comments EMNLP 2023; 14 pages (8+6)

Did You Mean...? Confidence-based Trade-offs in Semantic Parsing

Elias Stengel-Eskin, Benjamin Van Durme

Comments EMNLP 2023, Camera ready. arXiv admin note: substantial text overlap with arXiv:2211.07443

Towards Making the Most of ChatGPT for Machine Translation

Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao

Comments EMNLP 2023 (findings)

RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

Fengji Zhang, Bei Chen, Yue Zhang, Jacky Keung, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, Weizhu Chen

Comments accepted by EMNLP 2023 main conference

CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning

Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Hang Pu, Yu Lan, Chao Shen

Comments Accepted by EMNLP 2023 main cofference

MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition

Besnik Fetahu, Zhiyu Chen, Sudipta Kar, Oleg Rokhlenko, Shervin Malmasi

Comments Accepted to the Findings of EMNLP 2023

NameGuess: Column Name Expansion for Tabular Data

Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis

Comments This work has been accepted to EMNLP'23

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

Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang

Comments Accepted to EMNLP 2023 Findings. Work was done before July 2023