Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model. - Wenli Zhuang; Ernie Chang (SemEval@ACL, 2017)

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 (INLG, 2018)

Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders. - Xudong Hong 002; Ernie Chang; Vera Demberg (MSR@EMNLP-IJCNLP, 2019)

Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence. - Xiaoyu Shen 001; Ernie Chang; Hui Su; Cheng Niu; Dietrich Klakow (ACL, 2020)

DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool. - Ernie Chang; Jeriah Caplinger; Alex Marin; Xiaoyu Shen 001; Vera Demberg (COLING (Demonstrations), 2020)

MovieChats: Chat like Humans in a Closed Domain. - Hui Su; Xiaoyu Shen 001; Xiao Zhou 004; Zheng Zhang; Ernie Chang; Cheng Zhang; Cheng Niu; Jie Zhou 016 (EMNLP (1), 2020)

Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training. - Ernie Chang; David Ifeoluwa Adelani; Xiaoyu Shen 001; Vera Demberg (AfricaNLP, 2020)

Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence. - Xiaoyu Shen 001; Ernie Chang; Hui Su; Jie Zhou 016; Dietrich Klakow (CoRR, 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 001 (CoRR, 2020)

Time-Aware Ancient Chinese Text Translation and Inference. - Ernie Chang; Yow-Ting Shiue; Hui-Syuan Yeh; Vera Demberg (LChange@ACL-IJCNLP, 2021)

On Training Instance Selection for Few-Shot Neural Text Generation. - Ernie Chang; Xiaoyu Shen 001; Hui-Syuan Yeh; Vera Demberg (ACL/IJCNLP (2), 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 (Description Logics, 2021)

Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling. - Ernie Chang; Vera Demberg; Alex Marin (EACL, 2021)

Neural Data-to-Text Generation with LM-based Text Augmentation. - Ernie Chang; Xiaoyu Shen 001; Dawei Zhu; Vera Demberg; Hui Su (EACL, 2021)

Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning. - Ernie Chang; Hui-Syuan Yeh; Vera Demberg (EACL, 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 001 (ICMI, 2021)

The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation. - Ernie Chang; Xiaoyu Shen 001; Alex Marin; Vera Demberg (INLG, 2021)

Few-Shot Pidgin Text Adaptation via Contrastive Fine-Tuning. - Ernie Chang; Jesujoba O. Alabi; David Ifeoluwa Adelani; Vera Demberg (COLING, 2022)

Programmable Annotation with Diversed Heuristics and Data Denoising. - Ernie Chang; Alex Marin; Vera Demberg (COLING, 2022)

Improving Zero-Shot Multilingual Text Generation via Iterative Distillation. - Ernie Chang; Alex Marin; Vera Demberg (COLING, 2022)

Logic-Guided Message Generation from Raw Real-Time Sensor Data. - Ernie Chang; Alisa Kovtunova; Stefan Borgwardt; Vera Demberg; Kathryn Chapman; Hui-Syuan Yeh (LREC, 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 001; Machel Reid; Dana Ruiter; Dietrich Klakow; Peter Nabende; Ernie Chang; Tajuddeen Gwadabe; Freshia Sackey; et al. (NAACL-HLT, 2022)

MDIA: A Benchmark for Multilingual Dialogue Generation in 46 Languages. - Qingyu Zhang; Xiaoyu Shen 001; Ernie Chang; Jidong Ge; Pengke Chen (CoRR, 2022)

Revisiting Sample Size Determination in Natural Language Understanding. - Ernie Chang; Muhammad Hassan Rashid; Pin-Jie Lin; Changsheng Zhao 002; Vera Demberg; Yangyang Shi; Vikas Chandra (ACL (Findings), 2023)

Towards Zero-Shot Multilingual Transfer for Code-Switched Responses. - Ting-Wei Wu; Changsheng Zhao 002; Ernie Chang; Yangyang Shi; Pierce Chuang; Vikas Chandra; Biing-Hwang Juang (ACL (1), 2023)

Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgin. - Pin-Jie Lin; Muhammed Saeed; Ernie Chang; Merel C. J. Scholman (INTERSPEECH, 2023)

Folding Attention: Memory and Power Optimization for On-Device Transformer-based Streaming Speech Recognition. - Yang Li 183; Liangzhen Lai; Yuan Shangguan; Forrest N. Iandola; Ernie Chang; Yangyang Shi; 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)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. - Zechun Liu; Barlas Oguz; Changsheng Zhao 002; Ernie Chang; Pierre Stock; Yashar Mehdad; Yangyang Shi; Raghuraman Krishnamoorthi; Vikas Chandra (ACL (Findings), 2024)

Target-Aware Language Modeling via Granular Data Sampling. - Ernie Chang; Pin-Jie Lin; Yang Li 183; Changsheng Zhao 002; Daeil Kim; Rastislav Rabatin; Zechun Liu; Yangyang Shi; Vikas Chandra (EMNLP, 2024)

Scaling Parameter-Constrained Language Models with Quality Data. - Ernie Chang; Matteo Paltenghi; Yang Li 183; Pin-Jie Lin; Changsheng Zhao 002; Patrick Huber; Zechun Liu; Rastislav Rabatin; Yangyang Shi; Vikas Chandra (EMNLP (Industry Track), 2024)

In-Context Prompt Editing for Conditional Audio Generation. - Ernie Chang; Pin-Jie Lin; Yang Li 183; Sidd Srinivasan; Gaël Le Lan; David Kant; Yangyang Shi; Forrest N. Iandola; Vikas Chandra (ICASSP, 2024)

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 002; Yangyang Shi; Vikas Chandra (ICASSP, 2024)

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 (ICASSP, 2024)

Folding Attention: Memory and Power Optimization for On-Device Transformer-Based Streaming Speech Recognition. - Yang Li 183; Liangzhen Lai; Yuan Shangguan; Forrest N. Iandola; Zhaoheng Ni; Ernie Chang; Yangyang Shi; Vikas Chandra (ICASSP, 2024)

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. - Zechun Liu; Changsheng Zhao 002; Forrest N. Iandola; Chen Lai; Yuandong Tian; Igor Fedorov; Yunyang Xiong; Ernie Chang; Yangyang Shi; Raghuraman Krishnamoorthi; Liangzhen Lai; Vikas Chandra (ICML, 2024)

Navigating the Minefield of MT Beam Search in Cascaded Streaming Speech Translation. - Rastislav Rabatin; Frank Seide; Ernie Chang (INTERSPEECH, 2024)

Foleygen: Visually-Guided Audio Generation. - Xinhao Mei; Varun Nagaraja; Gaël Le Lan; Zhaoheng Ni; Ernie Chang; Yangyang Shi; Vikas Chandra (MLSP, 2024)

Not All Weights Are Created Equal: Enhancing Energy Efficiency in On-Device Streaming Speech Recognition. - Yang Li 183; Yuan Shangguan; Yuhao Wang; Liangzhen Lai; Ernie Chang; Changsheng Zhao 002; Yangyang Shi; Vikas Chandra (CoRR, 2024)

Basis Selection: Low-Rank Decomposition of Pretrained Large Language Models for Target Applications. - Yang Li 183; Changsheng Zhao 002; Hyungtak Lee; Ernie Chang; Yangyang Shi; Vikas Chandra (CoRR, 2024)

High Fidelity Text-Guided Music Generation and Editing via Single-Stage Flow Matching. - Gaël Le Lan; Bowen Shi; Zhaoheng Ni; Sidd Srinivasan; Anurag Kumar 003; Brian Ellis; David Kant; Varun Nagaraja; Ernie Chang; Wei-Ning Hsu; Yangyang Shi; Vikas Chandra (CoRR, 2024)

Agent-as-a-Judge: Evaluate Agents with Agents. - Mingchen Zhuge; Changsheng Zhao 002; Dylan R. Ashley; Wenyi Wang; Dmitrii Khizbullin; Yunyang Xiong; Zechun Liu; Ernie Chang; Raghuraman Krishnamoorthi; Yuandong Tian; Yangyang Shi; Vikas Chandra; et al. (CoRR, 2024)

AutoMixer: Checkpoint Artifacts as Automatic Data Mixers. - Ernie Chang; Yang Li 183; Patrick Huber; Vish Vogeti; David Kant; Yangyang Shi; Vikas Chandra (ACL (1), 2025)

Breaking Down Power Barriers in On-Device Streaming ASR: Insights and Solutions. - Yang Li 183; Yuan Shangguan; Yuhao Wang; Liangzhen Lai; Ernie Chang; Changsheng Zhao 002; Yangyang Shi; Vikas Chandra (NAACL (Industry Track), 2025)

Self-Vocabularizing Training for Neural Machine Translation. - Pin-Jie Lin; Ernie Chang; Yangyang Shi; Vikas Chandra (NAACL (Student Research Workshop), 2025)

CoSMoEs: Compact Sparse Mixture of Experts. - Patrick Huber; Akshat Shrivastava; Ernie Chang; Chinnadhurai Sankar; Ahmed Aly; Adithya Sagar (CoRR, 2025)

AutoMixer: Checkpoint Artifacts as Automatic Data Mixers. - Ernie Chang; Yang Li 183; Patrick Huber; David Kant; Yangyang Shi; Vikas Chandra (CoRR, 2025)

IMPACT: Importance-Aware Activation Space Reconstruction. - Md Mokarram Chowdhury; Daniel Agyei Asante; Ernie Chang; Yang Li (CoRR, 2025)