Patrick Huber
18 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(14)
Natural Language Processing
(13)
Deep Learning
(9)
Artificial Intelligence
(8)
Learning Types Β· Machine Learning
(8)
Core AI
(6)
Understanding
(6)
Core Methods
(5)
Learning Types Β· Deep Learning
(5)
Resources & Methods
(5)
Generation
(4)
Application Areas
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Applications
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Optimization & Theory
(3)
Architectures
(2)
Keywords
discourse parsing
(6)
discourse structure
(5)
large language model
(4)
distant supervision
(3)
discourse analysis
(3)
zero-shot learning
(2)
pre-trained language model
(2)
topic segmentation
(2)
rhetorical structure theory
(2)
multilingual nlp
(1)
sentiment classification
(1)
semantic analysis
(1)
text representation
(1)
model pretraining
(1)
knowledge distillation
(1)
language model training
(1)
multiple instance learning
(1)
cross-domain learning
(1)
knowledge transfer
(1)
sentiment prediction
(1)
Papers
MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment
ACL 2026
AutoMixer: Checkpoint Artifacts as Automatic Data Mixers
ACL 2025
Large Language Models as Zero-shot Dialogue State Tracker through Function Calling
ACL 2024
Scaling Parameter-Constrained Language Models with Quality Data
EMNLP 2024
Small But Funny: A Feedback-Driven Approach to Humor Distillation
ACL 2024
Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues
EACL 2023
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training
NAACL 2022
Improving Topic Segmentation by Injecting Discourse Dependencies
COLING 2022
Predicting Above-Sentence Discourse Structure Using Distant Supervision from Topic Segmentation
AAAI 2022
Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models
NAACL 2022
Predicting Discourse Trees from Transformer-based Neural Summarizers
NAACL 2021
Unsupervised Learning of Discourse Structures using a Tree Autoencoder
AAAI 2021
W-RST: Towards a Weighted RST-style Discourse Framework
ACL 2021
Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help !
EMNLP 2020
From Sentiment Annotations to Sentiment Prediction through Discourse Augmentation
COLING 2020
MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision
EMNLP 2020
Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining
COLING 2020
Predicting Discourse Structure using Distant Supervision from Sentiment
EMNLP 2019