EMNLP

Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Mor Geva, Jasmijn Bastings, Katja Filippova, Amir Globerson

Comments Accepted at EMNLP 2023

CHATEDIT: Towards Multi-turn Interactive Facial Image Editing via Dialogue

Xing Cui, Zekun Li, Peipei Li, Yibo Hu, Hailin Shi, Zhaofeng He

Comments Accepted to EMNLP 2023 (Main Conference)

Do Transformers Parse while Predicting the Masked Word?

Haoyu Zhao, Abhishek Panigrahi, Rong Ge, Sanjeev Arora

Comments Accpeted to EMNLP 2023, 30 pages

XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models

Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa

Comments EMNLP 2023

Query-as-context Pre-training for Dense Passage Retrieval

Xing Wu, Guangyuan Ma, Wanhui Qian, Zijia Lin, Songlin Hu

Comments EMNLP 2023 Main Conference

Momentum Contrastive Pre-training for Question Answering

Minda Hu, Muzhi Li, Yasheng Wang, Irwin King

Comments This work has been accepted by EMNLP 2022. Reference to ACL Anthology: https://aclanthology.org/2022.emnlp-main.291.pdf

Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt

Seonghyeon Ye, Joel Jang, Doyoung Kim, Yongrae Jo, Minjoon Seo

Comments EMNLP 2023 Findings

A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check

Haojing Huang, Jingheng Ye, Qingyu Zhou, Yinghui Li, Yangning Li, Feng Zhou, Hai-Tao Zheng

Comments Accepted for publication in Findings of EMNLP 2023

KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection

Sehyun Choi, Tianqing Fang, Zhaowei Wang, Yangqiu Song

Comments Accepted at EMNLP 2023 Main Conference

Towards Example-Based NMT with Multi-Levenshtein Transformers

Maxime Bouthors, Josep Crego, François Yvon

Comments 17 pages, EMNLP 2023 submission

xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark

Chen Zhang, Luis Fernando D'Haro, Chengguang Tang, Ke Shi, Guohua Tang, Haizhou Li

Comments Accepted to EMNLP-2023 Findings

Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning

Hongfu Liu, Ye Wang

Comments Accepted to the Findings of EMNLP 2023

Relation-aware Ensemble Learning for Knowledge Graph Embedding

Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng

Comments This short paper has been accepted by EMNLP 2023

A Comparative Analysis of Task-Agnostic Distillation Methods for Compressing Transformer Language Models

Takuma Udagawa, Aashka Trivedi, Michele Merler, Bishwaranjan Bhattacharjee

Comments Accepted to EMNLP 2023 Industry Track

Toward Joint Language Modeling for Speech Units and Text

Ju-Chieh Chou, Chung-Ming Chien, Wei-Ning Hsu, Karen Livescu, Arun Babu, Alexis Conneau, Alexei Baevski, Michael Auli

Comments EMNLP findings 2023

Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations

Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, Ming Yin

Comments EMNLP 2023

Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation

Jian Wang, Yi Cheng, Dongding Lin, Chak Tou Leong, Wenjie Li

Comments Accepted to EMNLP-2023 main conference

On the Impact of Cross-Domain Data on German Language Models

Amin Dada, Aokun Chen, Cheng Peng, Kaleb E Smith, Ahmad Idrissi-Yaghir, Constantin Marc Seibold, Jianning Li, Lars Heiliger, Xi Yang, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu

Comments 13 pages, 1 figure, accepted at Findings of the Association for Computational Linguistics: EMNLP 2023

DUMB: A Benchmark for Smart Evaluation of Dutch Models

Wietse de Vries, Martijn Wieling, Malvina Nissim

Comments EMNLP 2023 camera-ready

Can ChatGPT Assess Human Personalities? A General Evaluation Framework

Haocong Rao, Cyril Leung, Chunyan Miao

Comments Accepted to EMNLP 2023. Our codes are available at https://github.com/Kali-Hac/ChatGPT-MBTI

UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers

Jon Saad-Falcon, Omar Khattab, Keshav Santhanam, Radu Florian, Martin Franz, Salim Roukos, Avirup Sil, Md Arafat Sultan, Christopher Potts

Comments Long Paper at Empirical Methods in Natural Language Processing (EMNLP) 2023

Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension

Nuo Chen, Hongguang Li, Junqing He, Yinan Bao, Xinshi Lin, Qi Yang, Jianfeng Liu, Ruyi Gan, Jiaxing Zhang, Baoyuan Wang, Jia Li

Comments 14 pages

Journal ref EMNLP 2023

A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing

Carlos Gómez-Rodríguez, Paul Williams

Comments Accepted for publication in Findings of EMNLP 2023

MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition

Shuhui Wu, Yongliang Shen, Zeqi Tan, Wenqi Ren, Jietian Guo, Shiliang Pu, Weiming Lu

Comments Accepted to EMNLP-2023, camera ready version

Impact of Co-occurrence on Factual Knowledge of Large Language Models

Cheongwoong Kang, Jaesik Choi

Comments EMNLP 2023 Findings

SimCKP: Simple Contrastive Learning of Keyphrase Representations

Minseok Choi, Chaeheon Gwak, Seho Kim, Si Hyeong Kim, Jaegul Choo

Comments Accepted to Findings of EMNLP 2023

Simplicity Level Estimate (SLE): A Learned Reference-Less Metric for Sentence Simplification

Liam Cripwell, Joël Legrand, Claire Gardent

Comments Accepted to EMNLP 2023 (Main Conference)

Rethinking Negative Pairs in Code Search

Haochen Li, Xin Zhou, Luu Anh Tuan, Chunyan Miao

Comments Accepted to EMNLP 2023

Crosslingual Structural Priming and the Pre-Training Dynamics of Bilingual Language Models

Catherine Arnett, Tyler A. Chang, James A. Michaelov, Benjamin K. Bergen

Comments Extended abstract accepted to the 3rd Multilingual Representation Learning workshop at EMNLP 2023

Pit One Against Many: Leveraging Attention-head Embeddings for Parameter-efficient Multi-head Attention

Huiyin Xue, Nikolaos Aletras

Comments Accepted at EMNLP 2023 Findings