Towards Probabilistically-Sound Beam Search with Masked Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Brooks, Creston, Calef, Robert, Cowen-Breen, Charlie, Sappington, Anna
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

An Annotated Dataset of Errors in Premodern Greek and Baselines for Detecting Them
di: Brooks, Creston, et al.
Pubblicazione: (2024)

Open Deep Search: Democratizing Search with Open-source Reasoning Agents
di: Alzubi, Salaheddin, et al.
Pubblicazione: (2025)

Tree Reward-Aligned Search for TReASURe in Masked Diffusion Language Models
di: Yu, Zichao, et al.
Pubblicazione: (2025)

Towards Logically Consistent Language Models via Probabilistic Reasoning
di: Calanzone, Diego, et al.
Pubblicazione: (2024)

Probabilistic Soundness Guarantees in LLM Reasoning Chains
di: You, Weiqiu, et al.
Pubblicazione: (2025)

Faithfulness Measurable Masked Language Models
di: Madsen, Andreas, et al.
Pubblicazione: (2023)

Representation Deficiency in Masked Language Modeling
di: Meng, Yu, et al.
Pubblicazione: (2023)

Confidence-Aware Sub-Structure Beam Search (CABS): Mitigating Hallucination in Structured Data Generation with Large Language Models
di: Wei, Chengwei, et al.
Pubblicazione: (2024)

BeamLLM: Vision-Empowered mmWave Beam Prediction with Large Language Models
di: Zheng, Can, et al.
Pubblicazione: (2025)

Contextual Text Denoising with Masked Language Models
di: Sun, Yifu, et al.
Pubblicazione: (2019)

Scaling Beyond Masked Diffusion Language Models
di: Sahoo, Subham Sekhar, et al.
Pubblicazione: (2026)

Don't Throw Away Your Beams: Improving Consistency-based Uncertainties in LLMs via Beam Search
di: Fadeeva, Ekaterina, et al.
Pubblicazione: (2025)

Diffusion-State Policy Optimization for Masked Diffusion Language Models
di: Oba, Daisuke, et al.
Pubblicazione: (2026)

DOS: Dependency-Oriented Sampler for Masked Diffusion Language Models
di: Zhou, Xueyu, et al.
Pubblicazione: (2026)

Reconsidering Positional Supervision in Masked Diffusion Language Model Training
di: Ye, Mengyu, et al.
Pubblicazione: (2026)

Towards detecting unanticipated bias in Large Language Models
di: Kruspe, Anna
Pubblicazione: (2024)

The Rise of AI-Generated Content in Wikipedia
di: Brooks, Creston, et al.
Pubblicazione: (2024)

Robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading
di: Crothers, Evan, et al.
Pubblicazione: (2023)

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models
di: Zheng, Kangjie, et al.
Pubblicazione: (2025)

Masked Mixers for Language Generation and Retrieval
di: Badger, Benjamin L.
Pubblicazione: (2024)

Soft-Masked Diffusion Language Models
di: Hersche, Michael, et al.
Pubblicazione: (2025)

UPLME: Uncertainty-Aware Probabilistic Language Modelling for Robust Empathy Regression
di: Hasan, Md Rakibul, et al.
Pubblicazione: (2025)

Not All Denoising Steps Are Equal: Model Scheduling for Faster Masked Diffusion Language Models
di: Sedykh, Ivan, et al.
Pubblicazione: (2026)

Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis
di: An, Seunghwan, et al.
Pubblicazione: (2024)

Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
di: Li, Yuchen, et al.
Pubblicazione: (2024)

Affective and Dynamic Beam Search for Story Generation
di: Huang, Tenghao, et al.
Pubblicazione: (2023)

Fisher Mask Nodes for Language Model Merging
di: K, Thennal D, et al.
Pubblicazione: (2024)

Simple and Effective Masked Diffusion Language Models
di: Sahoo, Subham Sekhar, et al.
Pubblicazione: (2024)

On the Reasoning Abilities of Masked Diffusion Language Models
di: Svete, Anej, et al.
Pubblicazione: (2025)

Iterative Mask Filling: An Effective Text Augmentation Method Using Masked Language Modeling
di: Kesgin, Himmet Toprak, et al.
Pubblicazione: (2024)

Improving Text Style Transfer using Masked Diffusion Language Models with Inference-time Scaling
di: Padole, Tejomay Kishor, et al.
Pubblicazione: (2025)

Understanding and Accelerating the Training of Masked Diffusion Language Models
di: Hong, Chunsan, et al.
Pubblicazione: (2026)

Boosting Large Language Models with Mask Fine-Tuning
di: Zhang, Mingyuan, et al.
Pubblicazione: (2025)

Probabilistic Topic Modelling with Transformer Representations
di: Reuter, Arik, et al.
Pubblicazione: (2024)

Probabilistic Token Alignment for Large Language Model Fusion
di: Zeng, Runjia, et al.
Pubblicazione: (2025)

LogicDiff: Logic-Guided Denoising Improves Zero-Shot Reasoning in Masked Diffusion Language Models
di: Aman, Shaik
Pubblicazione: (2026)

Neural Attention Search Linear: Towards Adaptive Token-Level Hybrid Attention Models
di: Deng, Difan, et al.
Pubblicazione: (2026)

How Important Is Tokenization in French Medical Masked Language Models?
di: Labrak, Yanis, et al.
Pubblicazione: (2024)

Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data
di: Bellamy, David R., et al.
Pubblicazione: (2023)

Confidence Regularized Masked Language Modeling using Text Length
di: Ji, Seunghyun, et al.
Pubblicazione: (2025)