Ernie Chang

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 43

Top Topics

Training Samples

Instance Selection

Text Generation

Top Venues

Publications

Gaël Le Lan, Varun Nagaraja, Ernie Chang, David Kant, Zhaoheng Ni, Yangyang Shi, Forrest N. Iandola, Vikas Chandra
Stack-and-Delay: a new codebook pattern for music generation. CoRR (2023)
Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. CoRR (2023)
Yangyang Shi, Gaël Le Lan, Varun Nagaraja, Zhaoheng Ni, Xinhao Mei, Ernie Chang, Forrest N. Iandola, Yang Liu, Vikas Chandra
Enhance audio generation controllability through representation similarity regularization. CoRR (2023)
Ernie Chang, Pin-Jie Lin, Yang Li, Sidd Srinivasan, Gaël Le Lan, David Kant, Yangyang Shi, Forrest N. Iandola, Vikas Chandra
In-Context Prompt Editing For Conditional Audio Generation. CoRR (2023)
Ting-Wei Wu, Changsheng Zhao, Ernie Chang, Yangyang Shi, Pierce Chuang, Vikas Chandra, Biing-Hwang Juang
Towards Zero-Shot Multilingual Transfer for Code-Switched Responses. ACL (1) (2023)
Ernie Chang, Muhammad Hassan Rashid, Pin-Jie Lin, Changsheng Zhao, Vera Demberg, Yangyang Shi, Vikas Chandra
Revisiting Sample Size Determination in Natural Language Understanding. ACL (Findings) (2023)
Yang Li, Liangzhen Lai, Yuan Shangguan, Forrest N. Iandola, Ernie Chang, Yangyang Shi, Vikas Chandra
Folding Attention: Memory and Power Optimization for On-Device Transformer-based Streaming Speech Recognition. CoRR (2023)
Xinhao Mei, Varun Nagaraja, Gaël Le Lan, Zhaoheng Ni, Ernie Chang, Yangyang Shi, Vikas Chandra
FoleyGen: Visually-Guided Audio Generation. CoRR (2023)
Ernie Chang, Muhammad Hassan Rashid, Pin-Jie Lin, Changsheng Zhao, Vera Demberg, Yangyang Shi, Vikas Chandra
Revisiting Sample Size Determination in Natural Language Understanding. CoRR (2023)
Pin-Jie Lin, Muhammed Saeed, Ernie Chang, Merel C. J. Scholman
Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgin. CoRR (2023)
Ernie Chang, Sidd Srinivasan, Mahi Luthra, Pin-Jie Lin, Varun Nagaraja, Forrest N. Iandola, Zechun Liu, Zhaoheng Ni, Changsheng Zhao, Yangyang Shi, Vikas Chandra
On The Open Prompt Challenge In Conditional Audio Generation. CoRR (2023)
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 Sibanda, Andiswa Bukula, Sam Manthalu
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation. NAACL-HLT (2022)
Ernie Chang, Jesujoba O. Alabi, David Ifeoluwa Adelani, Vera Demberg
Few-Shot Pidgin Text Adaptation via Contrastive Fine-Tuning. COLING (2022)
Qingyu Zhang, Xiaoyu Shen, Ernie Chang, Jidong Ge, Pengke Chen
MDIA: A Benchmark for Multilingual Dialogue Generation in 46 Languages. CoRR (2022)
Ernie Chang, Alex Marin, Vera Demberg
Improving Zero-Shot Multilingual Text Generation via Iterative Distillation. COLING (2022)
Ernie Chang, Alex Marin, Vera Demberg
Programmable Annotation with Diversed Heuristics and Data Denoising. COLING (2022)
David Ifeoluwa Adelani, Jesujoba Oluwadara 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 Chinenye 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 Ayoade Ajibade, Tunde Oluwaseyi Ajayi, Yvonne Wambui Gitau, Jade Z. Abbott, Mohamed Ahmed, Millicent Ochieng, Aremu Anuoluwapo, Perez Ogayo, Jonathan Mukiibi, Fatoumata Ouoba Kabore, Godson Koffi Kalipe, Derguene Mbaye, Allahsera Auguste Tapo, Victoire Memdjokam Koagne, Edwin Munkoh-Buabeng, Valencia Wagner, Idris Abdulmumin, Ayodele Awokoya, Happy Buzaaba, Blessing Sibanda, Andiswa Bukula, Sam Manthalu
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation. CoRR (2022)
Ernie Chang, Alisa Kovtunova, Stefan Borgwardt, Vera Demberg, Kathryn Chapman, Hui-Syuan Yeh
Logic-Guided Message Generation from Raw Real-Time Sensor Data. LREC (2022)
Ernie Chang, Yow-Ting Shiue, Hui-Syuan Yeh, Vera Demberg
Time-Aware Ancient Chinese Text Translation and Inference. LChange@ACL-IJCNLP (2021)
Ernie Chang, Vera Demberg, Alex Marin
Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling. EACL (2021)
Frederik Wiehr, Anke Hirsch, Lukas Schmitz, Nina Knieriemen, Antonio Krüger, Alisa Kovtunova, Stefan Borgwardt, Ernie Chang, Vera Demberg, Marcel Steinmetz, Jörg Hoffmann
Why Do I Have to Take Over Control? Evaluating Safe Handovers with Advance Notice and Explanations in HAD. ICMI (2021)
Ernie Chang, Xiaoyu Shen, Hui-Syuan Yeh, Vera Demberg
On Training Instance Selection for Few-Shot Neural Text Generation. ACL/IJCNLP (2) (2021)
Ernie Chang, Xiaoyu Shen, Alex Marin, Vera Demberg
The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation. CoRR (2021)
Ernie Chang, Hui-Syuan Yeh, Vera Demberg
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning. CoRR (2021)
Ernie Chang, Xiaoyu Shen, Dawei Zhu, Vera Demberg, Hui Su
Neural Data-to-Text Generation with LM-based Text Augmentation. CoRR (2021)
Ernie Chang, Xiaoyu Shen, Alex Marin, Vera Demberg
The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation. INLG (2021)
Ernie Chang, Vera Demberg, Alex Marin
Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling. CoRR (2021)
Ernie Chang, Xiaoyu Shen, Hui-Syuan Yeh, Vera Demberg
On Training Instance Selection for Few-Shot Neural Text Generation. CoRR (2021)
Stefan Borgwardt, Ernie Chang, Kathryn Chapman, Vera Demberg, Alisa Kovtunova, Hui-Syuan Yeh
Logic-Guided Neural Utterance Generation from Drone Sensory Data (Extended Abstract). Description Logics (2021)
Ernie Chang, Yow-Ting Shiue, Hui-Syuan Yeh, Vera Demberg
Time-Aware Ancient Chinese Text Translation and Inference. CoRR (2021)
Ernie Chang, Xiaoyu Shen, Dawei Zhu, Vera Demberg, Hui Su
Neural Data-to-Text Generation with LM-based Text Augmentation. EACL (2021)
Ernie Chang, Hui-Syuan Yeh, Vera Demberg
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning. EACL (2021)
Ernie Chang, David Ifeoluwa Adelani, Xiaoyu Shen, Vera Demberg
Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training. CoRR (2020)
Hui Su, Xiaoyu Shen, Xiao Zhou, Zheng Zhang, Ernie Chang, Cheng Zhang, Cheng Niu, Jie Zhou
MovieChats: Chat like Humans in a Closed Domain. EMNLP (1) (2020)
Ernie Chang, Jeriah Caplinger, Alex Marin, Xiaoyu Shen, Vera Demberg
DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool. CoRR (2020)
Ernie Chang, Jeriah Caplinger, Alex Marin, Xiaoyu Shen, Vera Demberg
DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool. COLING (Demonstrations) (2020)
Xiaoyu Shen, Ernie Chang, Hui Su, Cheng Niu, Dietrich Klakow
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence. ACL (2020)
Frederik Wiehr, Anke Hirsch, Florian Daiber, Antonio Krüger, Alisa Kovtunova, Stefan Borgwardt, Ernie Chang, Vera Demberg, Marcel Steinmetz, Jörg Hoffmann
Safe Handover in Mixed-Initiative Control for Cyber-Physical Systems. CoRR (2020)
Xiaoyu Shen, Ernie Chang, Hui Su, Jie Zhou, Dietrich Klakow
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence. CoRR (2020)
Xudong Hong, Ernie Chang, Vera Demberg
Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders. MSR@EMNLP-IJCNLP (2019)
José Guilherme Camargo de Souza, Michael Kozielski, Prashant Mathur, Ernie Chang, Marco Guerini, Matteo Negri, Marco Turchi, Evgeny Matusov
Generating E-Commerce Product Titles and Predicting their Quality. INLG (2018)
Wenli Zhuang, Ernie Chang
Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model. SemEval@ACL (2017)
Wenli Zhuang, Ernie Chang
Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model. CoRR (2017)