:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Ruddell, Gregory M.
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2604.03524
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Silent Commitment Failure in Instruction-Tuned Language Models: Evidence of Governability Divergence Across Architectures
by: Ruddell, Gregory M.
Published: (2026)

LayerCake: Token-Aware Contrastive Decoding within Large Language Model Layers
by: Zhu, Jingze, et al.
Published: (2025)

Membership Inference Attacks on Tokenizers of Large Language Models
by: Tong, Meng, et al.
Published: (2025)

A Multi-Layered Large Language Model Framework for Disease Prediction
by: Mohamed, Malak, et al.
Published: (2025)

Cognitive Load-Aware Inference: A Neuro-Symbolic Framework for Optimizing the Token Economy of Large Language Models
by: Zhang, Yilun
Published: (2025)

Explicit Cognitive Allocation: A Principle for Governed and Auditable Inference in Large Language Models
by: Manzanilla-Granados, Héctor Manuel, et al.
Published: (2026)

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models
by: Kongmanee, Jaturong
Published: (2025)

Window-based Membership Inference Attacks Against Fine-tuned Large Language Models
by: Chen, Yuetian, et al.
Published: (2026)

Hey, That's My Data! Token-Only Dataset Inference in Large Language Models
by: Xiong, Chen, et al.
Published: (2025)

A Law of Next-Token Prediction in Large Language Models
by: He, Hangfeng, et al.
Published: (2024)

Design Behaviour Codes (DBCs): A Taxonomy-Driven Layered Governance Benchmark for Large Language Models
by: Mohan, G. Madan, et al.
Published: (2026)

Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models
by: Liu, Peijie, et al.
Published: (2025)

SwiftVLM: Efficient Vision-Language Model Inference via Cross-Layer Token Bypass
by: Qian, Chen, et al.
Published: (2026)

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models
by: Wu, Jialiang, et al.
Published: (2025)

SlimGPT: Layer-wise Structured Pruning for Large Language Models
by: Ling, Gui, et al.
Published: (2024)

Predictive Scheduling for Efficient Inference-Time Reasoning in Large Language Models
by: Brown, Katrina, et al.
Published: (2026)

DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
by: Thareja, Rushil, et al.
Published: (2025)

Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference
by: Lin, Zhihang, et al.
Published: (2024)

Adaptive Layer Selection for Layer-Wise Token Pruning in LLM Inference
by: Taniguchi, Rei, et al.
Published: (2026)

Chimera: A Lossless Decoding Method for Accelerating Large Language Models Inference by Fusing all Tokens
by: Zeng, Ziqian, et al.
Published: (2024)

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
by: Chen, Liang, et al.
Published: (2024)

Context Cartography: Toward Structured Governance of Contextual Space in Large Language Model Systems
by: Wu, Zihua, et al.
Published: (2026)

From Anchors to Answers: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models
by: Ji, Yanbiao, et al.
Published: (2024)

Evaluating Language Model Context Windows: A "Working Memory" Test and Inference-time Correction
by: Dsouza, Amanda, et al.
Published: (2024)

A Geometric Perspective on Next-Token Prediction in Large Language Models: Three Emerging Phases
by: Lombardo, Gianfranco, et al.
Published: (2026)

The Structural Scalpel: Automated Contiguous Layer Pruning for Large Language Models
by: Lu, Yao, et al.
Published: (2025)

Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenization
by: Wang, Dixuan, et al.
Published: (2024)

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing
by: Zheng, Wenhao, et al.
Published: (2025)

Beyond Next Token Prediction: Patch-Level Training for Large Language Models
by: Shao, Chenze, et al.
Published: (2024)

Distributed Specialization: Rare-Token Neurons in Large Language Models
by: Liu, Jing, et al.
Published: (2025)

An Efficient Inference Framework for Early-exit Large Language Models
by: Miao, Ruijie, et al.
Published: (2024)

Sliding Window Attention Training for Efficient Large Language Models
by: Fu, Zichuan, et al.
Published: (2025)

PLPHP: Per-Layer Per-Head Vision Token Pruning for Efficient Large Vision-Language Models
by: Meng, Yu, et al.
Published: (2025)

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity
by: Yan, Guang, et al.
Published: (2025)

Token-Level Inference-Time Alignment for Vision-Language Models
by: Chen, Kejia, et al.
Published: (2025)

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models
by: Xu, Ningyu, et al.
Published: (2026)

Reinforcement Learning with Promising Tokens for Large Language Models
by: Pang, Jing-Cheng, et al.
Published: (2026)

Counting Ability of Large Language Models and Impact of Tokenization
by: Zhang, Xiang, et al.
Published: (2024)

ProToken: Token-Level Attribution for Federated Large Language Models
by: Gill, Waris, et al.
Published: (2026)

Beyond Reproducibility: Token Probabilities Expose Large Language Model Nondeterminism
by: Fu, Tairan, et al.
Published: (2026)