Alexander Rudnicky
18 papers · 2005–2025 · 8 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Ultra π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (36) π§ Keyword Pioneer
π§¬
Topic Evolution
π
Keyword Champion
(5)
ποΈ
Keyword Collector
(65)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(8)
Deep Learning
(8)
Natural Language Processing
(8)
Core AI
(8)
Generation
(7)
Learning Types Β· Machine Learning
(5)
Architectures
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(4)
Speech & Audio
(2)
Models
(2)
Techniques
(2)
Reinforcement Learning
(1)
Keywords
length extrapolation
(5)
language model
(4)
transformer architecture
(3)
attention mechanism
(3)
positional embedding
(3)
regular language
(2)
language modeling
(1)
variational framework
(1)
reinforcement learning
(1)
vector quantization
(1)
deep clustering
(1)
weight sharing
(1)
autoregressive model
(1)
self-supervised learning
(1)
working memory
(1)
positional encoding
(1)
parameter-efficient fine-tuning
(1)
discrete representation
(1)
temperature scaling
(1)
policy learning
(1)
Papers
A Variational Framework for Improving Naturalness in Generative Spoken Language Models
ICML 2025
Language Models Can be Efficiently Steered via Minimal Embedding Layer Transformations
EMNLP 2025
Advancing Regular Language Reasoning in Linear Recurrent Neural Networks
NAACL 2024
Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation
NAACL 2024
A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech
AAAI 2023
Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis
ACL 2023
Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings
ACL 2023
Transformer Working Memory Enables Regular Language Reasoning And Natural Language Length Extrapolation
EMNLP 2023
An Empirical study to understand the Compositional Prowess of Neural Dialog Models
ACL 2022
KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation
NeurIPS 2022
Speech Representation Learning Combining Conformer CPC with Deep Cluster for the ZeroSpeech Challenge 2021
Interspeech 2021
Temporal Context in Speech Emotion Recognition
Interspeech 2021
Zero-Shot Dialogue Disentanglement by Self-Supervised Entangled Response Selection
EMNLP 2021
Learning Conversational Systems that Interleave Task and Non-Task Content
IJCAI 2017
Jointly Modeling Inter-Slot Relations by Random Walk on Knowledge Graphs for Unsupervised Spoken Language Understanding
NAACL 2015
Matrix Factorization with Knowledge Graph Propagation for Unsupervised Spoken Language Understanding
ACL 2015
Acquiring Domain-Specific Dialog Information from Task-Oriented Human-Human Interaction through an Unsupervised Learning
EMNLP 2008
Error Handling in the RavenClaw Dialog Management Architecture
EMNLP 2005