EMNLP

KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models

Jiho Kim, Yeonsu Kwon, Yohan Jo, Edward Choi

Comments Accepted to EMNLP 2023 Findings

Probing the Creativity of Large Language Models: Can models produce divergent semantic association?

Honghua Chen, Nai Ding

Comments Accepted for publication in Findings of EMNLP 2023

Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction

Chong Zhang, Ya Guo, Yi Tu, Huan Chen, Jinyang Tang, Huijia Zhu, Qi Zhang, Tao Gui

Comments Accepted as a long paper in the main conference of EMNLP 2023

A State-Vector Framework for Dataset Effects

Esmat Sahak, Zining Zhu, Frank Rudzicz

Comments EMNLP 2023

Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning

Ryan Shea, Zhou Yu

Comments EMNLP 2023

Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation

Chenxu Yang, Zheng Lin, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, Weiping Wang

Comments Accepted by EMNLP 2023

R2H: Building Multimodal Navigation Helpers that Respond to Help Requests

Yue Fan, Jing Gu, Kaizhi Zheng, Xin Eric Wang

Comments EMNLP 2023

MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space

Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua

Comments Accepted to the Findings of EMNLP 2023

CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction

Jingheng Ye, Yinghui Li, Qingyu Zhou, Yangning Li, Shirong Ma, Hai-Tao Zheng, Ying Shen

Comments Accepted as an EMNLP 2023 main paper

The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation

Mutian He, Philip N. Garner

Comments 16 pages, 3 figures; accepted by Findings of EMNLP 2023

PAXQA: Generating Cross-lingual Question Answering Examples at Training Scale

Bryan Li, Chris Callison-Burch

Comments EMNLP 2023 (Findings)

Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets

Irina Bejan, Artem Sokolov, Katja Filippova

Comments Published at EMNLP 2023

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Yang Chen, Hexiang Hu, Yi Luan, Haitian Sun, Soravit Changpinyo, Alan Ritter, Ming-Wei Chang

Comments EMNLP 2023 (main conference); Our dataset and evaluation is available at https://open-vision-language.github.io/infoseek/

Revisiting Tri-training of Dependency Parsers

Joachim Wagner, Jennifer Foster

Comments 17 pages, 1 figure, to be published at EMNLP 2021

"Mistakes Help Us Grow": Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms

Kunal Handa, Margaret Clapper, Jessica Boyle, Rose E Wang, Diyi Yang, David S Yeager, Dorottya Demszky

Comments In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology

Odhran O'Donoghue, Aleksandar Shtedritski, John Ginger, Ralph Abboud, Ali Essa Ghareeb, Justin Booth, Samuel G Rodriques

Comments EMNLP 2023. Dataset and code: https://github.com/bioplanner/bioplanner

Generating Summaries with Controllable Readability Levels

Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer

Comments Accepted as an EMNLP 2023 main paper

One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging For Cross-Lingual Transfer

Fabian David Schmidt, Ivan Vulić, Goran Glavaš

Comments Accepted to findings of EMNLP 2023

NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Traian Rebedea, Razvan Dinu, Makesh Sreedhar, Christopher Parisien, Jonathan Cohen

Comments Accepted at EMNLP 2023 - Demo track

G-SPEED: General SParse Efficient Editing MoDel

Haoke Zhang, Yue Wang, Juntao Li, Xiabing Zhou, Min Zhang

Comments Accepted to the Findings of EMNLP 2023

Can Word Sense Distribution Detect Semantic Changes of Words?

Xiaohang Tang, Yi Zhou, Taichi Aida, Procheta Sen, Danushka Bollegala

Comments Accepted to Findings of EMNLP 2023

Journal ref EMNLP 2023

Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning

Chong Li, Shaonan Wang, Yunhao Zhang, Jiajun Zhang, Chengqing Zong

Comments Accepted to EMNLP 2023 main conference. Our code is available at https://github.com/ZNLP/FunctionalSpecializationInMHA

Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques

Manon Reusens, Philipp Borchert, Margot Mieskes, Jochen De Weerdt, Bart Baesens

Comments Accepted to EMNLP 2023 main conference

Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarization

Weixiao Zhou, Gengyao Li, Xianfu Cheng, Xinnian Liang, Junnan Zhu, Feifei Zhai, Zhoujun Li

Comments Accepted to EMNLP 2023 findings

Enhancing Interpretability using Human Similarity Judgements to Prune Word Embeddings

Natalia Flechas Manrique, Wanqian Bao, Aurelie Herbelot, Uri Hasson

Comments Accepted for presentation at the BlackboxNLP workshop at EMNLP 2023

Battle of the Large Language Models: Dolly vs LLaMA vs Vicuna vs Guanaco vs Bard vs ChatGPT -- A Text-to-SQL Parsing Comparison

Shuo Sun, Yuchen Zhang, Jiahuan Yan, Yuze Gao, Donovan Ong, Bin Chen, Jian Su

Comments Findings of EMNLP 2023

Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition

Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Pei Wang, Weiran Xu

Comments Accpeted to EMNLP 2023 (Findings)

Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT

Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu

Comments Accpeted to EMNLP 2023 (Main Conference)

DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task

Guanting Dong, Tingfeng Hui, Zhuoma GongQue, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu

Comments Findings of EMNLP 2023 (Short Paper)

DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery

Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Qinghua Zheng, QianYing Wang, Ping Chen

Comments Accepted by EMNLP 2023 Main