Copertina

Discrete Diffusion Models for Language Generation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Weligalle, Ashen
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Machine Learning 68T50 (Primary) 68Q32, 60J27 (Secondary) G.3
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Generator-based Graph Generation via Heat Diffusion
di: Stephenson, Anthony, et al.
Pubblicazione: (2026)

Emulation-Completeness of Programming Languages
di: Morse, Gregory, et al.
Pubblicazione: (2026)

Make Literature-Based Discovery Great Again through Reproducible Pipelines
di: Cestnik, Bojan, et al.
Pubblicazione: (2025)

InhibiDistilbert: Knowledge Distillation for a ReLU and Addition-based Transformer
di: Zhang, Tony, et al.
Pubblicazione: (2025)

SIGMA: Scalable Spectral Insights for LLM Model Collapse
di: Gu, Yi, et al.
Pubblicazione: (2026)

Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study
di: Keraghel, Imed, et al.
Pubblicazione: (2024)

A Special Case of Quadratic Extrapolation Under the Neural Tangent Kernel
di: Kim, Abiel
Pubblicazione: (2025)

Formal Foundations for Controlled Stochastic Activity Networks
di: Movaghar, Ali
Pubblicazione: (2025)

Conformal e-prediction
di: Vovk, Vladimir
Pubblicazione: (2020)

Fibonacci-Driven Recursive Ensembles: Algorithms, Convergence, and Learning Dynamics
di: Fokoué, Ernest
Pubblicazione: (2026)

AI in Investment Analysis: LLMs for Equity Stock Ratings
di: Papasotiriou, Kassiani, et al.
Pubblicazione: (2024)

Large Spikes in Stochastic Gradient Descent: A Large-Deviations View
di: Gess, Benjamin, et al.
Pubblicazione: (2026)

A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness
di: Wang, Fali, et al.
Pubblicazione: (2024)

Private Evolution Converges
di: González, Tomás, et al.
Pubblicazione: (2025)

Inductive randomness predictors: beyond conformal
di: Vovk, Vladimir
Pubblicazione: (2025)

Logistic Regression makes small LLMs strong and explainable "tens-of-shot" classifiers
di: Buckmann, Marcus, et al.
Pubblicazione: (2024)

Linguistic Collapse: Neural Collapse in (Large) Language Models
di: Wu, Robert, et al.
Pubblicazione: (2024)

Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models
di: Saqur, Raeid, et al.
Pubblicazione: (2024)

Sample completion, structured correlation, and Netflix problems
di: Coregliano, Leonardo N., et al.
Pubblicazione: (2025)

Learning Decentralized Swarms Using Rotation Equivariant Graph Neural Networks
di: Transue, Taos, et al.
Pubblicazione: (2025)

Universality of conformal prediction under the assumption of randomness
di: Vovk, Vladimir
Pubblicazione: (2025)

Conformal e-prediction in the presence of confounding
di: Vovk, Vladimir, et al.
Pubblicazione: (2026)

Parameterized Complexity of Stationarity Testing for Piecewise-Affine Functions and Shallow CNN Losses
di: Ye, Yuhan
Pubblicazione: (2026)

Recursively Enumerably Representable Classes and Computable Versions of the Fundamental Theorem of Statistical Learning
di: Kattermann, David, et al.
Pubblicazione: (2025)

Atyaephyra at SemEval-2025 Task 4: Low-Rank Negative Preference Optimization
di: Bronec, Jan, et al.
Pubblicazione: (2025)

Hallucination Detection in Large Language Models with Metamorphic Relations
di: Yang, Borui, et al.
Pubblicazione: (2025)

Randomness, exchangeability, and conformal prediction
di: Vovk, Vladimir
Pubblicazione: (2025)

A packing lemma for VCN${}_k$-dimension and learning high-dimensional data
di: Coregliano, Leonardo N., et al.
Pubblicazione: (2025)

Transparency-First Medical Language Models: Datasheets, Model Cards, and End-to-End Data Provenance for Clinical NLP
di: Imanov, Olaf Yunus Laitinen, et al.
Pubblicazione: (2026)

Drama Engine: A Framework for Narrative Agents
di: Pichlmair, Martin, et al.
Pubblicazione: (2024)

Inductive Venn-Abers and related regressors
di: Petej, Ivan, et al.
Pubblicazione: (2026)

Aggregation in conformal e-classification
di: Vovk, Vladimir
Pubblicazione: (2026)

Modularity in Transformers: Investigating Neuron Separability & Specialization
di: Pochinkov, Nicholas, et al.
Pubblicazione: (2024)

Compositionality of Rewriting Rules with Conditions
di: Behr, Nicolas, et al.
Pubblicazione: (2019)

Semi-automated extraction of research topics and trends from NCI funding in radiological sciences from 2000-2020
di: Nguyen, Mark, et al.
Pubblicazione: (2023)

Extracting and Validating Explanatory Word Archipelagoes using Dual Entropy
di: Ohsawa, Yukio
Pubblicazione: (2020)

Research on a hybrid LSTM-CNN-Attention model for text-based web content classification
di: Kuz, Mykola, et al.
Pubblicazione: (2025)

A Survey on Collaborating Small and Large Language Models for Performance, Cost-effectiveness, Cloud-edge Privacy, and Trustworthiness
di: Wang, Fali, et al.
Pubblicazione: (2025)

Universal Conditional Logic: A Formal Language for Prompt Engineering
di: Mikinka, Anthony
Pubblicazione: (2025)

The Association of Transformer-based Sentiment Analysis with Symptom Distress and Deterioration in Routine Psychotherapy Care
di: Faust, Douglas K., et al.
Pubblicazione: (2026)