:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Saito, Kei
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Machine Learning I.2.7; I.2.0
Online Access:	https://arxiv.org/abs/2601.19933
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

NRR-Core: Non-Resolution Reasoning as a Computational Framework for Contextual Identity and Ambiguity Preservation
by: Saito, Kei
Published: (2025)

Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)

RWKV-7 "Goose" with Expressive Dynamic State Evolution
by: Peng, Bo, et al.
Published: (2025)

Perturbation Dose Responses in Recursive LLM Loops: Raw Switching, Stochastic Floors, and Persistent Escape under Append, Replace, and Dialog Updates
by: Kaplanski, Pawel
Published: (2026)

Key-Value Means: Transformers with Expandable Block-Recurrent Compressed Memory
by: Goldstein, Daniel, et al.
Published: (2026)

ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
by: Dumitru, Razvan-Gabriel, et al.
Published: (2025)

Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)

ALISON: Fast and Effective Stylometric Authorship Obfuscation
by: Xing, Eric, et al.
Published: (2024)

CopySpec: Accelerating LLMs with Speculative Copy-and-Paste Without Compromising Quality
by: Dumitru, Razvan-Gabriel, et al.
Published: (2025)

ACCORD: Closing the Commonsense Measurability Gap
by: Roewer-Després, François, et al.
Published: (2024)

Enhancing Transformer RNNs with Multiple Temporal Perspectives
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)

QuickSilver -- Speeding up LLM Inference through Dynamic Token Halting, KV Skipping, Contextual Token Fusion, and Adaptive Matryoshka Quantization
by: Khanna, Danush, et al.
Published: (2025)

Incentives or Ontology? A Structural Rebuttal to OpenAI's Hallucination Thesis
by: Ackermann, Richard, et al.
Published: (2025)

Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey
by: Vegner, Ivan, et al.
Published: (2025)

The Drill-Down and Fabricate Test (DDFT): A Protocol for Measuring Epistemic Robustness in Language Models
by: Baxi, Rahul
Published: (2025)

Graph Language Models
by: Plenz, Moritz, et al.
Published: (2024)

Holistic Audit Dataset Generation for LLM Unlearning via Knowledge Graph Traversal and Redundancy Removal
by: Jiang, Weipeng, et al.
Published: (2025)

Diverse LLMs or Diverse Question Interpretations? That is the Ensembling Question
by: Rosales, Rafael, et al.
Published: (2025)

Quo Vadis ChatGPT? From Large Language Models to Large Knowledge Models
by: Venkatasubramanian, Venkat, et al.
Published: (2024)

OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax?
by: Blair-Stanek, Andrew, et al.
Published: (2023)

Social Learning through Interactions with Other Agents: A Survey
by: Hillier, Dylan, et al.
Published: (2024)

Machines of Meaning
by: Nunes, Davide, et al.
Published: (2024)

Aspect-Based Sentiment Analysis for Future Tourism Experiences: A BERT-MoE Framework for Persian User Reviews
by: Taskooh, Hamidreza Kazemi, et al.
Published: (2026)

Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text
by: Oketunji, Abiodun Finbarrs
Published: (2023)

ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration
by: Deng, Minghang, et al.
Published: (2025)

When Does Data Augmentation Help? Evaluating LLM and Back-Translation Methods for Hausa and Fongbe NLP
by: Adjovi, Mahounan Pericles, et al.
Published: (2026)

BabyReasoningBench: Generating Developmentally-Inspired Reasoning Tasks for Evaluating Baby Language Models
by: Dhole, Kaustubh D.
Published: (2026)

Chatbots put to the test in math and logic problems: A preliminary comparison and assessment of ChatGPT-3.5, ChatGPT-4, and Google Bard
by: Plevris, Vagelis, et al.
Published: (2023)

Prompt Tuned Embedding Classification for Multi-Label Industry Sector Allocation
by: Buchner, Valentin Leonhard, et al.
Published: (2023)

Benchmarking quantized LLaMa-based models on the Brazilian Secondary School Exam
by: Santos, Matheus L. O., et al.
Published: (2023)

Next Token Prediction Is a Dead End for Creativity
by: Olatunji, Ibukun, et al.
Published: (2025)

Jailbreak Mimicry: Automated Discovery of Narrative-Based Jailbreaks for Large Language Models
by: Ntais, Pavlos
Published: (2025)

Prompt Readiness Levels (PRL): a maturity scale and scoring framework for production grade prompt assets
by: Guinard, Sebastien
Published: (2026)

Correcting Gradient-Based Circuit Localization via Interaction-Aware Backpropagation
by: Edin, Joakim, et al.
Published: (2025)

Pioneer Agent: Continual Improvement of Small Language Models in Production
by: Atreja, Dhruv, et al.
Published: (2026)

Beyond Recall: Behavioral Specification as an Interpretive Layer for AI Personalization
by: Gulaya, Aarik
Published: (2026)

KnowThyself: An Agentic Assistant for LLM Interpretability
by: Prasai, Suraj, et al.
Published: (2025)

Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More
by: Frydenlund, Arvid
Published: (2025)

Large Language Model (LLM) Bias Index -- LLMBI
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)

An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool
by: Lomasto, Luigi, et al.
Published: (2026)