EMNLP

CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code

Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Shouling Ji, Wenhai Wang

Comments EMNLP 2023 Main Conference

Unraveling Feature Extraction Mechanisms in Neural Networks

Xiaobing Sun, Jiaxi Li, Wei Lu

Comments Accepted by EMNLP 2023

Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model

Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban, Anna Cai, Ritam Dutt, Amey Hengle, Anubha Kabra, Atharva Kulkarni, Abhishek Vijayakumar, Haofei Yu, Hinrich Schütze, Kemal Oflazer, David R. Mortensen

Comments EMNLP 2023

Simultaneous Machine Translation with Tailored Reference

Shoutao Guo, Shaolei Zhang, Yang Feng

Comments Accepted to EMNLP 2023; 15 pages, 8 figures

Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding

Lorenzo Jaime Yu Flores, Heyuan Huang, Kejian Shi, Sophie Chheang, Arman Cohan

Comments EMNLP 2023 Findings

DocumentNet: Bridging the Data Gap in Document Pre-Training

Lijun Yu, Jin Miao, Xiaoyu Sun, Jiayi Chen, Alexander G. Hauptmann, Hanjun Dai, Wei Wei

Comments EMNLP 2023

Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models

Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park

Comments 22 pages; To appear at EMNLP 2023 Main Conference (Project page: https://naver-ai.github.io/cream )

AutoPlan: Automatic Planning of Interactive Decision-Making Tasks With Large Language Models

Siqi Ouyang, Lei Li

Comments EMNLP 2023 Findings

Editing Common Sense in Transformers

Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Lorraine Li, Sarah Wiegreffe, Niket Tandon

Comments Accepted to EMNLP 2023 Main Conference. Anshita, Debanjan, Akshay are co-first authors. Code and datasets for all experiments are available at https://github.com/anshitag/memit_csk

Estimating Large Language Model Capabilities without Labeled Test Data

Harvey Yiyun Fu, Qinyuan Ye, Albert Xu, Xiang Ren, Robin Jia

Comments Accepted to EMNLP 2023 Findings. Camera-ready version. Code: https://github.com/harvey-fin/icl-estimate

Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation

Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang

Comments EMNLP 2023. Code and data are available at https://github.com/WadeYin9712/Dynosaur

Detecting and Mitigating Hallucinations in Multilingual Summarisation

Yifu Qiu, Yftah Ziser, Anna Korhonen, Edoardo M. Ponti, Shay B. Cohen

Comments EMNLP 2023

Multimodal Automated Fact-Checking: A Survey

Mubashara Akhtar, Michael Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, Andreas Vlachos

Comments The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings

CLASS: A Design Framework for building Intelligent Tutoring Systems based on Learning Science principles

Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk

Comments Paper accepted at EMNLP 2023

ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination

Dongfang Li, Jindi Yu, Baotian Hu, Zhenran Xu, Min Zhang

Comments EMNLP 2023 Findings

Evaluating Object Hallucination in Large Vision-Language Models

Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen

Comments Accepted to EMNLP 2023

A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot

Aanisha Bhattacharya, Yaman K Singla, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen

Comments Accepted to EMNLP-23 TL;DR: Video understanding lags far behind NLP; LLMs excel in zero-shot. Our approach utilizes LLMs to verbalize videos, creating stories for zero-shot video understanding. This yields state-of-the-art results across five datasets, covering fifteen tasks

Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks

Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo

Comments EMNLP 2023

Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference

Biao Fu, Minpeng Liao, Kai Fan, Zhongqiang Huang, Boxing Chen, Yidong Chen, Xiaodong Shi

Comments Accept to EMNLP 2023 main conference

Describe me an Aucklet: Generating Grounded Perceptual Category Descriptions

Bill Noble, Nikolai Ilinykh

Comments To appear in Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP, Main)

Aksharantar: Open Indic-language Transliteration datasets and models for the Next Billion Users

Yash Madhani, Sushane Parthan, Priyanka Bedekar, Gokul NC, Ruchi Khapra, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra

Comments This manuscript is an extended version of the paper accepted to EMNLP Findings 2023. You can find the EMNLP Findings version at https://anoopkunchukuttan.gitlab.io/publications/emnlp_findings_2023_aksharantar.pdf

IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery

Bhavuk Singhal, Ashim Gupta, Shivasankaran V P, Amrith Krishna

Comments EMNLP 2023 Findings

HI-TOM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models

Yinghui He, Yufan Wu, Yilin Jia, Rada Mihalcea, Yulong Chen, Naihao Deng

Comments Accepted at Findings of EMNLP 2023

Journal ref Findings of EMNLP 2023

PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction

Yuqing Wang, Prashanth Vijayaraghavan, Ehsan Degan

Comments Accepted at EMNLP 2023 (industry)

DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European Languages

Vineet Bhat, Preethi Jyothi, Pushpak Bhattacharyya

Comments Accepted at EMNLP 2023 Findings

HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis

Nafis Irtiza Tripto, Adaku Uchendu, Thai Le, Mattia Setzu, Fosca Giannotti, Dongwon Lee

Comments 9 pages, EMNLP-23 findings, 5 pages appendix, 6 figures, 17 tables

Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation

Xi Wang, Hossein A. Rahmani, Jiqun Liu, Emine Yilmaz

Comments Accepted by EMNLP 2023 (Findings)

Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning

Roshanak Mirzaee, Parisa Kordjamshidi

Comments Accepted in EMNLP-Finding 2023

Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors

Marek Kubis, Paweł Skórzewski, Marcin Sowański, Tomasz Ziętkiewicz

Comments Accepted to EMNLP 2023 main conference

WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom

Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Zhiwei Yang

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