Ernie Chang

According to our database, Ernie Chang authored at least 35 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases.

Zechun Liu, Changsheng Zhao, Forrest N. Iandola, Chen Lai, Yuandong Tian, Igor Fedorov, Yunyang Xiong, Ernie Chang, Yangyang Shi, Raghuraman Krishnamoorthi, Liangzhen Lai, Vikas Chandra

CoRR, 2024

Not All Weights Are Created Equal: Enhancing Energy Efficiency in On-Device Streaming Speech Recognition.

Yang Li, Yuan Shangguan, Yuhao Wang, Liangzhen Lai, Ernie Chang, Changsheng Zhao, Yangyang Shi, Vikas Chandra

CoRR, 2024

2023

On The Open Prompt Challenge In Conditional Audio Generation.

Ernie Chang, Sidd Srinivasan, Mahi Luthra, Pin-Jie Lin, Varun Nagaraja, Forrest N. Iandola, Zechun Liu, Zhaoheng Ni, Changsheng Zhao, Yangyang Shi, Vikas Chandra

CoRR, 2023

In-Context Prompt Editing For Conditional Audio Generation.

Ernie Chang, Pin-Jie Lin, Yang Li, Sidd Srinivasan, Gaël Le Lan, David Kant, Yangyang Shi, Forrest N. Iandola, Vikas Chandra

CoRR, 2023

FoleyGen: Visually-Guided Audio Generation.

Xinhao Mei, Varun Nagaraja, Gaël Le Lan, Zhaoheng Ni, Ernie Chang, Yangyang Shi, Vikas Chandra

CoRR, 2023

Stack-and-Delay: a new codebook pattern for music generation.

Gaël Le Lan, Varun Nagaraja, Ernie Chang, David Kant, Zhaoheng Ni, Yangyang Shi, Forrest N. Iandola, Vikas Chandra

CoRR, 2023

Enhance audio generation controllability through representation similarity regularization.

Yangyang Shi, Gaël Le Lan, Varun Nagaraja, Zhaoheng Ni, Xinhao Mei, Ernie Chang, Forrest N. Iandola, Yang Liu, Vikas Chandra

CoRR, 2023

Folding Attention: Memory and Power Optimization for On-Device Transformer-based Streaming Speech Recognition.

Yang Li, Liangzhen Lai, Yuan Shangguan, Forrest N. Iandola, Ernie Chang, Yangyang Shi, Vikas Chandra

CoRR, 2023

Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgin.

Pin-Jie Lin, Muhammed Saeed, Ernie Chang, Merel C. J. Scholman

CoRR, 2023

LLM-QAT: Data-Free Quantization Aware Training for Large Language Models.

Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra

CoRR, 2023

Towards Zero-Shot Multilingual Transfer for Code-Switched Responses.

Ting-Wei Wu, Changsheng Zhao, Ernie Chang, Yangyang Shi, Pierce Chuang, Vikas Chandra, Biing-Hwang Juang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Revisiting Sample Size Determination in Natural Language Understanding.

Ernie Chang, Muhammad Hassan Rashid, Pin-Jie Lin, Changsheng Zhao, Vera Demberg, Yangyang Shi, Vikas Chandra

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

MDIA: A Benchmark for Multilingual Dialogue Generation in 46 Languages.

Qingyu Zhang, Xiaoyu Shen, Ernie Chang, Jidong Ge, Pengke Chen

CoRR, 2022

A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation.

David Ifeoluwa Adelani, Jesujoba O. Alabi, Angela Fan, Julia Kreutzer, Xiaoyu Shen, Machel Reid, Dana Ruiter, Dietrich Klakow, Peter Nabende, Ernie Chang, Tajuddeen Gwadabe, Freshia Sackey, Bonaventure F. P. Dossou, Chris Emezue, Colin Leong, Michael Beukman, Shamsuddeen Hassan Muhammad, Guyo Dub Jarso, Oreen Yousuf, Andre Niyongabo Rubungo, Gilles Hacheme, Eric Peter Wairagala, Muhammad Umair Nasir, Benjamin Ajibade, Tunde Ajayi, Yvonne Wambui Gitau, Jade Z. Abbott, Mohamed Ahmed, Millicent Ochieng, Aremu Anuoluwapo, Perez Ogayo, Jonathan Mukiibi, Fatoumata Ouoba Kabore, Godson Kalipe, Derguene Mbaye, Allahsera Auguste Tapo, Victoire Memdjokam Koagne, Edwin Munkoh-Buabeng, Valencia Wagner, Idris Abdulmumin, Ayodele Awokoya, Happy Buzaaba, Blessing K. Sibanda, Andiswa Bukula, Sam Manthalu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Logic-Guided Message Generation from Raw Real-Time Sensor Data.

Ernie Chang, Alisa Kovtunova, Stefan Borgwardt, Vera Demberg, Kathryn Chapman, Hui-Syuan Yeh

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Improving Zero-Shot Multilingual Text Generation via Iterative Distillation.

Ernie Chang, Alex Marin, Vera Demberg

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Programmable Annotation with Diversed Heuristics and Data Denoising.

Ernie Chang, Alex Marin, Vera Demberg

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Few-Shot Pidgin Text Adaptation via Contrastive Fine-Tuning.

Ernie Chang, Jesujoba O. Alabi, David Ifeoluwa Adelani, Vera Demberg

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation.

Ernie Chang, Xiaoyu Shen, Alex Marin, Vera Demberg

Proceedings of the 14th International Conference on Natural Language Generation, 2021

Why Do I Have to Take Over Control? Evaluating Safe Handovers with Advance Notice and Explanations in HAD.

Frederik Wiehr, Anke Hirsch, Lukas Schmitz, Nina Knieriemen, Antonio Krüger, Alisa Kovtunova, Stefan Borgwardt, Ernie Chang, Vera Demberg, Marcel Steinmetz, Jörg Hoffmann

Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning.

Ernie Chang, Hui-Syuan Yeh, Vera Demberg

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Neural Data-to-Text Generation with LM-based Text Augmentation.

Ernie Chang, Xiaoyu Shen, Dawei Zhu, Vera Demberg, Hui Su

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling.

Ernie Chang, Vera Demberg, Alex Marin

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Logic-Guided Neural Utterance Generation from Drone Sensory Data (Extended Abstract).

Stefan Borgwardt, Ernie Chang, Kathryn Chapman, Vera Demberg, Alisa Kovtunova, Hui-Syuan Yeh

Proceedings of the 34th International Workshop on Description Logics (DL 2021) part of Bratislava Knowledge September (BAKS 2021), 2021

On Training Instance Selection for Few-Shot Neural Text Generation.

Ernie Chang, Xiaoyu Shen, Hui-Syuan Yeh, Vera Demberg

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Time-Aware Ancient Chinese Text Translation and Inference.

Ernie Chang, Yow-Ting Shiue, Hui-Syuan Yeh, Vera Demberg

Proceedings of The 2nd International Workshop on Computational Approaches to Historical Language Change 2021, 2021

2020

Safe Handover in Mixed-Initiative Control for Cyber-Physical Systems.

Frederik Wiehr, Anke Hirsch, Florian Daiber, Antonio Krüger, Alisa Kovtunova, Stefan Borgwardt, Ernie Chang, Vera Demberg, Marcel Steinmetz, Jörg Hoffmann

CoRR, 2020

Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence.

Xiaoyu Shen, Ernie Chang, Hui Su, Jie Zhou, Dietrich Klakow

CoRR, 2020

Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training.

Ernie Chang, David Ifeoluwa Adelani, Xiaoyu Shen, Vera Demberg

Proceedings of the 1st AfricaNLP Workshop Proceedings, 2020

MovieChats: Chat like Humans in a Closed Domain.

Hui Su, Xiaoyu Shen, Xiao Zhou, Zheng Zhang, Ernie Chang, Cheng Zhang, Cheng Niu, Jie Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool.

Ernie Chang, Jeriah Caplinger, Alex Marin, Xiaoyu Shen, Vera Demberg

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence.

Xiaoyu Shen, Ernie Chang, Hui Su, Cheng Niu, Dietrich Klakow

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders.

Xudong Hong, Ernie Chang, Vera Demberg

Proceedings of the 2nd Workshop on Multilingual Surface Realisation, 2019

2018

Generating E-Commerce Product Titles and Predicting their Quality.

José Guilherme Camargo de Souza, Michael Kozielski, Prashant Mathur, Ernie Chang, Marco Guerini, Matteo Negri, Marco Turchi, Evgeny Matusov

Proceedings of the 11th International Conference on Natural Language Generation, 2018

2017

Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model.

Wenli Zhuang, Ernie Chang

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017