EMNLP

Primacy Effect of ChatGPT

Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi

Comments EMNLP 2023 short paper

InsightNet: Structured Insight Mining from Customer Feedback

Sandeep Sricharan Mukku, Manan Soni, Jitenkumar Rana, Chetan Aggarwal, Promod Yenigalla, Rashmi Patange, Shyam Mohan

Comments EMNLP 2023

Can Brain Signals Reveal Inner Alignment with Human Languages?

William Han, Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao

Comments EMNLP 2023 Findings

Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLU

Patrick Kahardipraja, Brielen Madureira, David Schlangen

Comments Accepted at EMNLP 2021 (contains corrigendum)

Unsupervised Binary Code Translation with Application to Code Similarity Detection and Vulnerability Discovery

Iftakhar Ahmad, Lannan Luo

Comments conference

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

LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Shih-yang Liu, Zechun Liu, Xijie Huang, Pingcheng Dong, Kwang-Ting Cheng

Comments EMNLP 2023 Main Conference

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

Do "English" Named Entity Recognizers Work Well on Global Englishes?

Alexander Shan, John Bauer, Riley Carlson, Christopher Manning

Comments EMNLP Findings 2023

Large Language Models and Multimodal Retrieval for Visual Word Sense Disambiguation

Anastasia Kritharoula, Maria Lymperaiou, Giorgos Stamou

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

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

ViT-TTS: Visual Text-to-Speech with Scalable Diffusion Transformer

Huadai Liu, Rongjie Huang, Xuan Lin, Wenqiang Xu, Maozong Zheng, Hong Chen, Jinzheng He, Zhou Zhao

Comments Accepted by EMNLP 2023

Can We Edit Multimodal Large Language Models?

Siyuan Cheng, Bozhong Tian, Qingbin Liu, Xi Chen, Yongheng Wang, Huajun Chen, Ningyu Zhang

Comments EMNLP 2023. Add the Exact Match/Accuracy results of Reliability and T-Generality

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement

Zhiheng Xi, Senjie Jin, Yuhao Zhou, Rui Zheng, Songyang Gao, Tao Gui, Qi Zhang, Xuanjing Huang

Comments Accepted to EMNLP 2023 Findings. Codes and prompts are available at https://github.com/WooooDyy/Self-Polish

IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach

Sergio Burdisso, Juan Zuluaga-Gomez, Esau Villatoro-Tello, Martin Fajcik, Muskaan Singh, Pavel Smrz, Petr Motlicek

Comments To be published in CASE@EMNLP 2022 (5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text)

Journal ref CASE @ EMNLP 2022

When are Lemons Purple? The Concept Association Bias of Vision-Language Models

Yutaro Yamada, Yingtian Tang, Yoyo Zhang, Ilker Yildirim

Comments EMNLP 2023 main

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Yubo Ma, Yixin Cao, YongChing Hong, Aixin Sun

Comments Accepted by EMNLP 2023 Findings

Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset

Arthur Amalvy, Vincent Labatut, Richard Dufour

Journal ref Conference on Empirical Methods in Natural Language Processing (EMNLP), ACL, Dec 2023, Singapore, Singapore. pp.10372-10382

CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation

Jiashuo Wang, Yi Cheng, Wenjie Li

Comments EMNLP 2022 findings

Multi-word Tokenization for Sequence Compression

Leonidas Gee, Leonardo Rigutini, Marco Ernandes, Andrea Zugarini

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

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

FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models

Konstantin Dobler, Gerard de Melo

Comments Accepted to EMNLP 2023 Main Conference (Long Paper). Code: https://github.com/konstantinjdobler/focus

Using Interpretation Methods for Model Enhancement

Zhuo Chen, Chengyue Jiang, Kewei Tu

Comments EMNLP 2023

Journal ref Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 424-438

Affective and Dynamic Beam Search for Story Generation

Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi

Comments Accepted at EMNLP-findings 2023

Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark

Minje Choi, Jiaxin Pei, Sagar Kumar, Chang Shu, David Jurgens

Comments Camera-ready version for EMNLP'23. First two authors contributed equally

Can Language Models Laugh at YouTube Short-form Videos?

Dayoon Ko, Sangho Lee, Gunhee Kim

Comments EMNLP 2023; references added

Incremental Processing in the Age of Non-Incremental Encoders: An Empirical Assessment of Bidirectional Models for Incremental NLU

Brielen Madureira, David Schlangen

Comments Accepted to the EMNLP 2020 conference (long paper). V2 has minor updates, see note in last page

Are Compressed Language Models Less Subgroup Robust?

Leonidas Gee, Andrea Zugarini, Novi Quadrianto

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

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

NL2TL: Transforming Natural Languages to Temporal Logics using Large Language Models

Yongchao Chen, Rujul Gandhi, Yang Zhang, Chuchu Fan

Comments 25 pages, 18 figures

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

Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering

Kosuke Akimoto, Kunihiro Takeoka, Masafumi Oyamada

Comments EMNLP Findings 2023

Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning

Zhe Yang, Damai Dai, Peiyi Wang, Zhifang Sui

Comments Findings of EMNLP 2023

CDGP: Automatic Cloze Distractor Generation based on Pre-trained Language Model

Shang-Hsuan Chiang, Ssu-Cheng Wang, Yao-Chung Fan

Comments Findings of short paper, EMNLP 2022

Journal ref chiang-etal-2022-cdgp

Learning Co-Speech Gesture for Multimodal Aphasia Type Detection

Daeun Lee, Sejung Son, Hyolim Jeon, Seungbae Kim, Jinyoung Han

Comments EMNLP 2023 accepted

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

A Discriminative Latent-Variable Model for Bilingual Lexicon Induction

Sebastian Ruder, Ryan Cotterell, Yova Kementchedjhieva, Anders Søgaard

Comments Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing