EMNLP

Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction

Xilai Ma, Jing Li, Min Zhang

Comments Findings of EMNLP 2023

DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text

Shuaiyi Li, Yang Deng, Wai Lam

Comments EMNLP 2023 Findings

Mitigating Temporal Misalignment by Discarding Outdated Facts

Michael J. Q. Zhang, Eunsol Choi

Comments Accepted into EMNLP 2023

SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction

Miao Peng, Ben Liu, Qianqian Xie, Wenjie Xu, Hua Wang, Min Peng

Comments Findings of EMNLP 2022

Measuring Moral Inconsistencies in Large Language Models

Vamshi Krishna Bonagiri, Sreeram Vennam, Manas Gaur, Ponnurangam Kumaraguru

Comments Accepted at BlackBoxNLP 2023, Co-located with EMNLP 2023

Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models

Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian Foster

Comments Oral Presentation at BlackboxNLP Workshop at EMNLP 2023

Exploiting Emotion-Semantic Correlations for Empathetic Response Generation

Zhou Yang, Zhaochun Ren, Yufeng Wang, Xiaofei Zhu, Zhihao Chen, Tiecheng Cai, Yunbing Wu, Yisong Su, Sibo Ju, Xiangwen Liao

Comments 12 pages, 3 figures, Findings of EMNLP 2023

Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning

Gurusha Juneja, Subhabrata Dutta, Soumen Chakrabarti, Sunny Manchanda, Tanmoy Chakraborty

Comments EMNLP 2023 (Typos corrected)

Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data

KaShun Shum, Shizhe Diao, Tong Zhang

Comments EMNLP 2023

People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection

Indira Sen, Dennis Assenmacher, Mattia Samory, Isabelle Augenstein, Wil van der Aalst, Claudia Wagner

Comments Preprint of EMNLP'23 paper

On Bilingual Lexicon Induction with Large Language Models

Yaoyiran Li, Anna Korhonen, Ivan Vulić

Comments EMNLP 2023 Main Conference

Journal ref Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9577-9599

Dont Add, dont Miss: Effective Content Preserving Generation from Pre-Selected Text Spans

Aviv Slobodkin, Avi Caciularu, Eran Hirsch, Ido Dagan

Comments EMNLP 2023, findings

KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion

Yanbin Wei, Qiushi Huang, James T. Kwok, Yu Zhang

Comments Accepted to EMNLP 2023 Findings

Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study

Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang

Comments Technical Report. The contents are published in two separate papers in EMNLP 2023 (arXiv:2310.06374) and LREC-COLING 2024 (arXiv:2402.14052)

BLP-2023 Task 2: Sentiment Analysis

Md. Arid Hasan, Firoj Alam, Anika Anjum, Shudipta Das, Afiyat Anjum

Comments Accepted in BLP Workshop at EMNLP-23

CAMRA: Copilot for AMR Annotation

Jon Z. Cai, Shafiuddin Rehan Ahmed, Julia Bonn, Kristin Wright-Bettner, Martha Palmer, James H. Martin

Comments EMNLP 2023 System Demonstration

Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules

Chaojun Xiao, Yuqi Luo, Wenbin Zhang, Pengle Zhang, Xu Han, Yankai Lin, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou

Comments Accepted by Findings of EMNLP

Hard Non-Monotonic Attention for Character-Level Transduction

Shijie Wu, Pamela Shapiro, Ryan Cotterell

Comments Published in EMNLP 2018

SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency

Jiaxin Zhang, Zhuohang Li, Kamalika Das, Bradley A. Malin, Sricharan Kumar

Comments EMNLP 2023

G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks

Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu

Comments EMNLP 2022,Long paper,Main conference

From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification

Shanshan Xu, T. Y. S. S Santosh, Oana Ichim, Isabella Risini, Barbara Plank, Matthias Grabmair

Comments Accepted to EMNLP 2023

Fast Vocabulary Transfer for Language Model Compression

Leonidas Gee, Andrea Zugarini, Leonardo Rigutini, Paolo Torroni

Comments The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)

Journal ref Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022): Industry Track

BUSTER: a "BUSiness Transaction Entity Recognition" dataset

Andrea Zugarini, Andrew Zamai, Marco Ernandes, Leonardo Rigutini

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

LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers

Theo X. Olausson, Alex Gu, Benjamin Lipkin, Cedegao E. Zhang, Armando Solar-Lezama, Joshua B. Tenenbaum, Roger Levy

Comments EMNLP Main 2023 (Outstanding Paper Award)

Journal ref Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 5153-5176, Singapore. Association for Computational Linguistics

Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning

Haeju Lee, Minchan Jeong, Se-Young Yun, Kee-Eung Kim

Comments The first two authors equally contributed to this work. Findings of EMNLP 2023

Ranking LLM-Generated Loop Invariants for Program Verification

Saikat Chakraborty, Shuvendu K. Lahiri, Sarah Fakhoury, Madanlal Musuvathi, Akash Lal, Aseem Rastogi, Aditya Senthilnathan, Rahul Sharma, Nikhil Swamy

Comments Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP-findings 2023)

Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization

Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou

Comments 18 pages, accepted by EMNLP 2023

TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings

Hans W. A. Hanley, Zakir Durumeric

Comments Accepted to EMNLP 2023; Updated citations

How Large Language Models are Transforming Machine-Paraphrased Plagiarism

Jan Philip Wahle, Terry Ruas, Frederic Kirstein, Bela Gipp

Journal ref EMNLP 2022

Token Prediction as Implicit Classification to Identify LLM-Generated Text

Yutian Chen, Hao Kang, Vivian Zhai, Liangze Li, Rita Singh, Bhiksha Raj

Comments EMNLP 2023, Main Conference