EMNLP

Decomposed Prompt Tuning via Low-Rank Reparameterization

Yao Xiao, Lu Xu, Jiaxi Li, Wei Lu, Xiaoli Li

Comments Accepted to Findings of EMNLP 2023

DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models

Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong

Comments EMNLP 2023 Findings Camera-ready

RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models

Yasuto Hoshi, Daisuke Miyashita, Youyang Ng, Kento Tatsuno, Yasuhiro Morioka, Osamu Torii, Jun Deguchi

Comments 18 pages, 2 figures, see https://youtu.be/JYbm75qnfTg for the demonstration screencast, accepted by EMNLP 2023 System Demonstrations

SummHelper: Collaborative Human-Computer Summarization

Aviv Slobodkin, Niv Nachum, Shmuel Amar, Ori Shapira, Ido Dagan

Comments EMNLP 2023 System Demonstrations

Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation

David Heineman, Yao Dou, Wei Xu

Comments EMNLP 2023 System Demonstration

CLEVA: Chinese Language Models EVAluation Platform

Yanyang Li, Jianqiao Zhao, Duo Zheng, Zi-Yuan Hu, Zhi Chen, Xiaohui Su, Yongfeng Huang, Shijia Huang, Dahua Lin, Michael R. Lyu, Liwei Wang

Comments EMNLP 2023 System Demonstrations camera-ready

D$^2$TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization

Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou

Comments EMNLP 2023 Findings

Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition

Yongqi Li, Yu Yu, Tieyun Qian

Comments Accepted to the Findings of EMNLP 2023, camera ready version

NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models

Jongwoo Ko, Seungjoon Park, Yujin Kim, Sumyeong Ahn, Du-Seong Chang, Euijai Ahn, Se-Young Yun

Comments Findings of the Association for Computational Linguistics: EMNLP 2023

Empirical Study of Zero-Shot NER with ChatGPT

Tingyu Xie, Qi Li, Jian Zhang, Yan Zhang, Zuozhu Liu, Hongwei Wang

Comments Accepted to EMNLP 2023 (Main Conference)

Prompting Scientific Names for Zero-Shot Species Recognition

Shubham Parashar, Zhiqiu Lin, Yanan Li, Shu Kong

Comments EMNLP 2023

Homophone Disambiguation Reveals Patterns of Context Mixing in Speech Transformers

Hosein Mohebbi, Grzegorz Chrupała, Willem Zuidema, Afra Alishahi

Comments Accepted to EMNLP 2023 (main)

Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features

Zihan Wang, Ziqi Zhao, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren

Comments Accepted at EMNLP findings

RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training

Yu-Chien Tang, Wei-Yao Wang, An-Zi Yen, Wen-Chih Peng

Comments Accepted by EMNLP 2023 Findings

HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings

Zhuofeng Wu, Chaowei Xiao, VG Vinod Vydiswaran

Comments In Proceedings of Findings EMNLP 2023

Lexical Entrainment for Conversational Systems

Zhengxiang Shi, Procheta Sen, Aldo Lipani

Comments Findings of EMNLP 2023

Self-Detoxifying Language Models via Toxification Reversal

Chak Tou Leong, Yi Cheng, Jiashuo Wang, Jian Wang, Wenjie Li

Comments Accepted by EMNLP 2023 main conference

CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering

Md Rashad Al Hasan Rony, Christian Suess, Sinchana Ramakanth Bhat, Viju Sudhi, Julia Schneider, Maximilian Vogel, Roman Teucher, Ken E. Friedl, Soumya Sahoo

Comments Accepted into EMNLP 2023 (industry track), corresponding Author: Md Rashad Al Hasan Rony

Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks

Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li

Comments https://github.com/ZixuanKe/PyContinual

Journal ref EMNLP 2023 (findings)

Context Compression for Auto-regressive Transformers with Sentinel Tokens

Siyu Ren, Qi Jia, Kenny Q. Zhu

Comments To appear at EMNLP 2023 main conference

LLM4Vis: Explainable Visualization Recommendation using ChatGPT

Lei Wang, Songheng Zhang, Yun Wang, Ee-Peng Lim, Yong Wang

Comments EMNLP 2023 (Industry Track)

Med-HALT: Medical Domain Hallucination Test for Large Language Models

Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu

Comments Accepted at EMNLP 2023(The SIGNLL Conference on Computational Natural Language Learning)

From Words to Wires: Generating Functioning Electronic Devices from Natural Language Descriptions

Peter Jansen

Comments Accepted to EMNLP 2023 (Findings)

VIP5: Towards Multimodal Foundation Models for Recommendation

Shijie Geng, Juntao Tan, Shuchang Liu, Zuohui Fu, Yongfeng Zhang

Comments Accepted by EMNLP 2023

The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Seungone Kim, Se June Joo, Doyoung Kim, Joel Jang, Seonghyeon Ye, Jamin Shin, Minjoon Seo

Comments EMNLP 2023 (Main Conference)

Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration

Yang Deng, Lizi Liao, Liang Chen, Hongru Wang, Wenqiang Lei, Tat-Seng Chua

Comments Accepted by EMNLP 2023 Findings

Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes

Kuan-Hao Huang, Liang Tan, Rui Hou, Sinong Wang, Amjad Almahairi, Ruty Rinott

Comments Paper accepted by EMNLP 2023 Findings

Lion: Adversarial Distillation of Proprietary Large Language Models

Yuxin Jiang, Chunkit Chan, Mingyang Chen, Wei Wang

Comments 21 pages, 5 figures, EMNLP 2023 main conference

Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack

Christopher Burger, Lingwei Chen, Thai Le

Comments 14 pages, 6 figures. Replacement by the updated version to be published in EMNLP 2023

SuperDialseg: A Large-scale Dataset for Supervised Dialogue Segmentation

Junfeng Jiang, Chengzhang Dong, Sadao Kurohashi, Akiko Aizawa

Comments Accepted as a Long Paper at EMNLP 2023 (main)