EMNLP

Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings

Andrea W Wen-Yi, David Mimno

Journal ref Published in EMNLP 2023

ATHENA: Mathematical Reasoning with Thought Expansion

JB. Kim, Hazel Kim, Joonghyuk Hahn, Yo-Sub Han

Comments EMNLP 2023 (main); 13 pages, 5 figures, 8 tables

Cross-Modal Conceptualization in Bottleneck Models

Danis Alukaev, Semen Kiselev, Ilya Pershin, Bulat Ibragimov, Vladimir Ivanov, Alexey Kornaev, Ivan Titov

Comments Accepted at EMNLP 2023; camera-ready version

Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications

Manuel Faysse, Gautier Viaud, Céline Hudelot, Pierre Colombo

Comments Short paper accepted at EMNLP 2023

Journal ref 2023.emnlp-main.559

ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding

Uri Shaham, Maor Ivgi, Avia Efrat, Jonathan Berant, Omer Levy

Comments Findings of EMNLP 2023

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation

Daixuan Cheng, Shaohan Huang, Junyu Bi, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Furu Wei, Denvy Deng, Qi Zhang

Comments EMNLP 2023 Main Conference

MWE as WSD: Solving Multiword Expression Identification with Word Sense Disambiguation

Joshua Tanner, Jacob Hoffman

Journal ref 2023.findings-emnlp.14 181-193

Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM

Sahal Shaji Mullappilly, Abdelrahman Shaker, Omkar Thawakar, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan

Comments Accepted to EMNLP 2023 (Findings)

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2023, pages 14126-14136

Not all Fake News is Written: A Dataset and Analysis of Misleading Video Headlines

Yoo Yeon Sung, Jordan Boyd-Graber, Naeemul Hassan

Comments EMNLP 2023 Main Paper

LDM$^2$: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement

Xingjin Wang, Linjing Li, Daniel Zeng

Comments Findings of the Association for Computational Linguistics: EMNLP 2023

MarkQA: A large scale KBQA dataset with numerical reasoning

Xiang Huang, Sitao Cheng, Yuheng Bao, Shanshan Huang, Yuzhong Qu

Comments EMNLP 2023 main conference. Code: https://github.com/cdhx/MarkQA Homepage: http://ws.nju.edu.cn/MarkQA

Analysing State-Backed Propaganda Websites: a New Dataset and Linguistic Study

Freddy Heppell, Kalina Bontcheva, Carolina Scarton

Comments Accepted to EMNLP 2023 main conference

Journal ref Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 5729-5741

Character-LLM: A Trainable Agent for Role-Playing

Yunfan Shao, Linyang Li, Junqi Dai, Xipeng Qiu

Comments To appear at EMNLP 2023; Repo at https://github.com/choosewhatulike/trainable-agents

Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis

Haoyu Zhang, Yu Wang, Guanghao Yin, Kejun Liu, Yuanyuan Liu, Tianshu Yu

Comments Published in EMNLP 2023

Journal ref Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

This Reads Like That: Deep Learning for Interpretable Natural Language Processing

Claudio Fanconi, Moritz Vandenhirtz, Severin Husmann, Julia E. Vogt

Comments 10 pages, 1 figure, 5 tables

Journal ref Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

DiffuVST: Narrating Fictional Scenes with Global-History-Guided Denoising Models

Shengguang Wu, Mei Yuan, Qi Su

Comments EMNLP 2023 Findings

Understanding the Effect of Model Compression on Social Bias in Large Language Models

Gustavo Gonçalves, Emma Strubell

Comments EMNLP 2023 Main

Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective

Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell

Comments EMNLP 2023, 23 pages

Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature

Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton

Comments 16 pages, 9 figures. Accepted to EMNLP 2022

Where exactly does contextualization in a PLM happen?

Soniya Vijayakumar, Tanja Bäumel, Simon Ostermann, Josef van Genabith

Comments EMNLP 2023 BlackBloxNLP 2023 Workshop

GTA: Gated Toxicity Avoidance for LM Performance Preservation

Heegyu Kim, Hyunsouk Cho

Comments Accepted to Findings of EMNLP 2023

IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions

Ziheng Zeng, Kellen Tan Cheng, Srihari Venkat Nanniyur, Jianing Zhou, Suma Bhat

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

MISCA: A Joint Model for Multiple Intent Detection and Slot Filling with Intent-Slot Co-Attention

Thinh Pham, Chi Tran, Dat Quoc Nguyen

Comments Findings of EMNLP 2023 (https://aclanthology.org/2023.findings-emnlp.841.pdf); Long paper - 10 pages; 3 figures and 3 tables

Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models

Hongzhan Lin, Ziyang Luo, Jing Ma, Long Chen

Comments The first work to alleviate the issue of superficial understanding for harmful meme detection by explicitly utilizing commonsense knowledge, from a fresh perspective on harnessing advanced Large Language Models

Journal ref The 2023 Conference on Empirical Methods in Natural Language Processing

On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval

Jiayi Chen, Hanjun Dai, Bo Dai, Aidong Zhang, Wei Wei

Comments Paper published at Findings of the Association for Computational Linguistics: EMNLP, 2023

"You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation

Allyson Ettinger, Jena D. Hwang, Valentina Pyatkin, Chandra Bhagavatula, Yejin Choi

Comments EMNLP 2023 Findings (short)

Effects of Human Adversarial and Affable Samples on BERT Generalization

Aparna Elangovan, Jiayuan He, Yuan Li, Karin Verspoor

Comments To appear at EMNLP Findings 2023

GPT-RE: In-context Learning for Relation Extraction using Large Language Models

Zhen Wan, Fei Cheng, Zhuoyuan Mao, Qianying Liu, Haiyue Song, Jiwei Li, Sadao Kurohashi

Comments Accepted by EMNLP 2023 Main Conference (long paper)

DelucionQA: Detecting Hallucinations in Domain-specific Question Answering

Mobashir Sadat, Zhengyu Zhou, Lukas Lange, Jun Araki, Arsalan Gundroo, Bingqing Wang, Rakesh R Menon, Md Rizwan Parvez, Zhe Feng

Comments Accepted in EMNLP 2023 (Findings)

TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce

Tongxin Hu, Zhuang Li, Xin Jin, Lizhen Qu, Xin Zhang

Comments EMNLP 2023, Industry Track