Ernie Chang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
11
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | IMPACT: Importance-Aware Activation Space Reconstruction. | Md Mokarram Chowdhury, Daniel Agyei Asante, Ernie Chang, Yang Li |
| 2025 | ACL | AutoMixer: Checkpoint Artifacts as Automatic Data Mixers. | Ernie Chang, Yang Li, Patrick Huber, Vish Vogeti, David Kant, Yangyang Shi, Vikas Chandra |
| 2025 | ICML | Agent-as-a-Judge: Evaluate Agents with Agents. | Mingchen Zhuge, Changsheng Zhao, Dylan R. Ashley, Wenyi Wang, Dmitrii Khizbullin, Yunyang Xiong, Zechun Liu, Ernie Chang, Raghuraman Krishnamoorthi, Yuandong Tian, Yangyang Shi, Vikas Chandra, Jrgen Schmidhuber |
| 2025 | NAACL | Self-Vocabularizing Training for Neural Machine Translation. | Pin-Jie Lin, Ernie Chang, Yangyang Shi, Vikas Chandra |
| 2025 | NAACL | Breaking Down Power Barriers in On-Device Streaming ASR: Insights and Solutions. | Yang Li, Yuan Shangguan, Yuhao Wang, Liangzhen Lai, Ernie Chang, Changsheng Zhao, Yangyang Shi, Vikas Chandra |
| 2024 | ACL | 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 |
| 2024 | EMNLP | Target-Aware Language Modeling via Granular Data Sampling. | Ernie Chang, Pin-Jie Lin, Yang Li, Changsheng Zhao, Daeil Kim, Rastislav Rabatin, Zechun Liu, Yangyang Shi, Vikas Chandra |
| 2024 | EMNLP | Scaling Parameter-Constrained Language Models with Quality Data. | Ernie Chang, Matteo Paltenghi, Yang Li, Pin-Jie Lin, Changsheng Zhao, Patrick Huber, Zechun Liu, Rastislav Rabatin, Yangyang Shi, Vikas Chandra |
| 2024 | ICASSP | In-Context Prompt Editing for Conditional Audio Generation. | Ernie Chang, Pin-Jie Lin, Yang Li, Sidd Srinivasan, Gal Le Lan, David Kant, Yangyang Shi, Forrest N. Iandola, Vikas Chandra |
| 2024 | ICASSP | 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 |
| 2024 | ICASSP | Stack-and-Delay: A New Codebook Pattern for Music Generation. | Gal Le Lan, Varun Nagaraja, Ernie Chang, David Kant, Zhaoheng Ni, Yangyang Shi, Forrest N. Iandola, Vikas Chandra |
| 2024 | ICASSP | Folding Attention: Memory and Power Optimization for On-Device Transformer-Based Streaming Speech Recognition. | Yang Li, Liangzhen Lai, Yuan Shangguan, Forrest N. Iandola, Zhaoheng Ni, Ernie Chang, Yangyang Shi, Vikas Chandra |
| 2024 | ICML | 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 |
| 2024 | Interspeech | Navigating the Minefield of MT Beam Search in Cascaded Streaming Speech Translation. | Rastislav Rabatin, Frank Seide, Ernie Chang |
| 2023 | ACL | Revisiting Sample Size Determination in Natural Language Understanding. | Ernie Chang, Muhammad Hassan Rashid, Pin-Jie Lin, Changsheng Zhao, Vera Demberg, Yangyang Shi, Vikas Chandra |
| 2023 | ACL | 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 |
| 2023 | Interspeech | Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgin. | Pin-Jie Lin, Muhammed Saeed, Ernie Chang, Merel C. J. Scholman |
| 2022 | COLING | Few-Shot Pidgin Text Adaptation via Contrastive Fine-Tuning. | Ernie Chang, Jesujoba O. Alabi, David Ifeoluwa Adelani, Vera Demberg |
| 2022 | COLING | Programmable Annotation with Diversed Heuristics and Data Denoising. | Ernie Chang, Alex Marin, Vera Demberg |
| 2022 | COLING | Improving Zero-Shot Multilingual Text Generation via Iterative Distillation. | Ernie Chang, Alex Marin, Vera Demberg |
| 2022 | LREC | Logic-Guided Message Generation from Raw Real-Time Sensor Data. | Ernie Chang, Alisa Kovtunova, Stefan Borgwardt, Vera Demberg, Kathryn Chapman, Hui-Syuan Yeh |
| 2022 | NAACL | 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 |
| 2021 | ACL | On Training Instance Selection for Few-Shot Neural Text Generation. | Ernie Chang, Xiaoyu Shen, Hui-Syuan Yeh, Vera Demberg |
| 2021 | EACL | Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling. | Ernie Chang, Vera Demberg, Alex Marin |
| 2021 | EACL | Neural Data-to-Text Generation with LM-based Text Augmentation. | Ernie Chang, Xiaoyu Shen, Dawei Zhu, Vera Demberg, Hui Su |
| 2021 | EACL | Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning. | Ernie Chang, Hui-Syuan Yeh, Vera Demberg |
| 2021 | ICMI | 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 Krger, Alisa Kovtunova, Stefan Borgwardt, Ernie Chang, Vera Demberg, Marcel Steinmetz, Jrg Hoffmann |
| 2021 | INLG | The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation. | Ernie Chang, Xiaoyu Shen, Alex Marin, Vera Demberg |
| 2020 | ACL | Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence. | Xiaoyu Shen, Ernie Chang, Hui Su, Cheng Niu, Dietrich Klakow |
| 2020 | COLING | DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool. | Ernie Chang, Jeriah Caplinger, Alex Marin, Xiaoyu Shen, Vera Demberg |
| 2020 | EMNLP | MovieChats: Chat like Humans in a Closed Domain. | Hui Su, Xiaoyu Shen, Xiao Zhou, Zheng Zhang, Ernie Chang, Cheng Zhang, Cheng Niu, Jie Zhou |
| 2019 | EMNLP | Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders. | Xudong Hong, Ernie Chang, Vera Demberg |
| 2018 | INLG | Generating E-Commerce Product Titles and Predicting their Quality. | Jos Guilherme Camargo de Souza, Michael Kozielski, Prashant Mathur, Ernie Chang, Marco Guerini, Matteo Negri, Marco Turchi, Evgeny Matusov |