Cover Image

On the Runway Cascade of Transformers for Language Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Hunjae, Clark, Corey
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Transformer Modeling for Both Scalability and Performance in Multivariate Time Series
by: Lee, Hunjae, et al.
Published: (2025)

Dynamic Relational Priming Improves Transformer in Multivariate Time Series
by: Lee, Hunjae, et al.
Published: (2025)

Understanding the Failure Modes of Transformers through the Lens of Graph Neural Networks
by: Lee, Hunjae
Published: (2025)

Blind Evaluation Framework for Fully Homomorphic Encryption and Privacy-Preserving Machine Learning
by: Lee, Hunjae "Timothy", et al.
Published: (2023)

Synthetic Data for Robust Runway Detection
by: Chigot, Estelle, et al.
Published: (2025)

Runway vs. Taxiway: Challenges in Automated Line Identification and Notation Approaches
by: Ganeriwala, Parth, et al.
Published: (2025)

Robustness Assessment of a Runway Object Classifier for Safe Aircraft Taxiing
by: Elboher, Yizhak, et al.
Published: (2024)

Cascade-Aware Training of Language Models
by: Wang, Congchao, et al.
Published: (2024)

Automatic Pruning of Fine-tuning Datasets for Transformer-based Language Models
by: Tayaranian, Mohammadreza, et al.
Published: (2024)

Cascading Adversarial Bias from Injection to Distillation in Language Models
by: Chaudhari, Harsh, et al.
Published: (2025)

Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models
by: Wang, Boxin, et al.
Published: (2025)

SIG: A Synthetic Identity Generation Pipeline for Generating Evaluation Datasets for Face Recognition
by: Nzalasse, Kassi, et al.
Published: (2024)

An EM Gradient Algorithm for Mixture Models with Components Derived from the Manly Transformation
by: Clark, Katharine M., et al.
Published: (2024)

On Memory: A comparison of memory mechanisms in world models
by: Laird, Eli J., et al.
Published: (2025)

C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
by: Valkanas, Antonios, et al.
Published: (2025)

Language Model Cascades: Token-level uncertainty and beyond
by: Gupta, Neha, et al.
Published: (2024)

Bi-directional Model Cascading with Proxy Confidence
by: Warren, David, et al.
Published: (2025)

Variational Neurons in Transformers for Language Modeling
by: Ruffenach, Yves
Published: (2026)

SAP: Syntactic Attention Pruning for Transformer-based Language Models
by: Lee, Tzu-Yun, et al.
Published: (2025)

GeoTransolver: Learning Physics on Irregular Domains Using Multi-scale Geometry Aware Physics Attention Transformer
by: Adams, Corey, et al.
Published: (2025)

Gatekeeper: Improving Model Cascades Through Confidence Tuning
by: Rabanser, Stephan, et al.
Published: (2025)

CascadeServe: Unlocking Model Cascades for Inference Serving
by: Kossmann, Ferdi, et al.
Published: (2024)

Linking In-context Learning in Transformers to Human Episodic Memory
by: Ji-An, Li, et al.
Published: (2024)

Cascaded Diffusion Models for Neural Motion Planning
by: Sharma, Mohit, et al.
Published: (2025)

Cascading Robustness Verification: Toward Efficient Model-Agnostic Certification
by: Maleki, Mohammadreza, et al.
Published: (2026)

Cascading Reinforcement Learning
by: Du, Yihan, et al.
Published: (2024)

Uncertainty-Aware Transformers: Conformal Prediction for Language Models
by: Vellore, Abhiram, et al.
Published: (2026)

Evolutionary Large Language Model for Automated Feature Transformation
by: Gong, Nanxu, et al.
Published: (2024)

A Kolmogorov-Arnold Neural Model for Cascading Extremes
by: de Carvalho, Miguel, et al.
Published: (2025)

Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning
by: Yue, Murong, et al.
Published: (2023)

Model Cascading for Code: A Cascaded Black-Box Multi-Model Framework for Cost-Efficient Code Completion with Self-Testing
by: Chen, Boyuan, et al.
Published: (2024)

Exploring Quantization for Efficient Pre-Training of Transformer Language Models
by: Chitsaz, Kamran, et al.
Published: (2024)

AffineQuant: Affine Transformation Quantization for Large Language Models
by: Ma, Yuexiao, et al.
Published: (2024)

Anatomical Heterogeneity in Transformer Language Models
by: Wietrzykowski, Tomasz
Published: (2026)

Cascaded Cross-Modal Transformer for Audio-Textual Classification
by: Ristea, Nicolae-Catalin, et al.
Published: (2024)

Modeling Matches as Language: A Generative Transformer Approach for Counterfactual Player Valuation in Football
by: Hong, Miru, et al.
Published: (2026)

Calibrate-Then-Delegate: Safety Monitoring with Risk and Budget Guarantees via Model Cascades
by: Pona, Edoardo, et al.
Published: (2026)

Transformation-Augmented GRPO for Enhancing Exploration in Reasoning of Large Language Models
by: Le, Khiem, et al.
Published: (2026)

A Free Probabilistic Framework for Analyzing the Transformer-based Language Models
by: Das, Swagatam
Published: (2025)

Cascading Bandits Robust to Adversarial Corruptions
by: Xie, Jize, et al.
Published: (2025)