| 2026 | ACL | MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment. | Hanxian Huang, Igor Fedorov, Andrey Gromov, Bernard Beckerman, Naveen Suda, David Eriksson, Maximilian Balandat, Rylan Conway, Patrick Huber, Chinnadhurai Sankar, Ayushi Dalmia, Zechun Liu, Lemeng Wu, Tarek Elgamal, Adithya Sagar, Vikas Chandra, Raghuraman Krishnamoorthi |
| 2025 | ACL | AutoMixer: Checkpoint Artifacts as Automatic Data Mixers. | Ernie Chang, Yang Li, Patrick Huber, Vish Vogeti, David Kant, Yangyang Shi, Vikas Chandra |
| 2024 | ACL | Large Language Models as Zero-shot Dialogue State Tracker through Function Calling. | Zekun Li, Zhiyu Chen, Mike Ross, Patrick Huber, Seungwhan Moon, Zhaojiang Lin, Xin Dong, Adithya Sagar, Xifeng Yan, Paul A. Crook |
| 2024 | ACL | Small But Funny: A Feedback-Driven Approach to Humor Distillation. | Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Vered Shwartz, Arash Einolghozati |
| 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 |
| 2023 | EACL | Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues. | Chuyuan Li, Patrick Huber, Wen Xiao, Maxime Amblard, Chlo Braud, Giuseppe Carenini |
| 2023 | FUSION | A solution to the electrical urban transit routing problem with heterogeneous characteristics. | Patrick Huber, Ulrich Ghner, Rabea Lichtenberg |
| 2022 | AAAI | Predicting Above-Sentence Discourse Structure Using Distant Supervision from Topic Segmentation. | Patrick Huber, Linzi Xing, Giuseppe Carenini |
| 2022 | NAACL | CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training. | Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Scott Yih, Sonal Gupta, Xilun Chen |
| 2022 | NAACL | Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models. | Patrick Huber, Giuseppe Carenini |
| 2021 | AAAI | Unsupervised Learning of Discourse Structures using a Tree Autoencoder. | Patrick Huber, Giuseppe Carenini |
| 2021 | ACL | W-RST: Towards a Weighted RST-style Discourse Framework. | Patrick Huber, Wen Xiao, Giuseppe Carenini |
| 2021 | NAACL | Predicting Discourse Trees from Transformer-based Neural Summarizers. | Wen Xiao, Patrick Huber, Giuseppe Carenini |
| 2020 | COLING | Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining. | Grigorii Guz, Patrick Huber, Giuseppe Carenini |
| 2020 | COLING | From Sentiment Annotations to Sentiment Prediction through Discourse Augmentation. | Patrick Huber, Giuseppe Carenini |
| 2020 | EMNLP | MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision. | Patrick Huber, Giuseppe Carenini |
| 2019 | EMNLP | Predicting Discourse Structure using Distant Supervision from Sentiment. | Patrick Huber, Giuseppe Carenini |
| 2018 | LREC | Automated Evaluation of Out-of-Context Errors. | Patrick Huber, Jan Niehues, Alex Waibel |