Imagen de Portada

Pre-registered Falsification of Timing-Based Divergence Decomposition in KV-Cache Compression

Fuente: Zenodo

Guardado en:

Detalles Bibliográficos
Autor principal:	RIGAUD, Régis
Formato:	Recurso digital
Lenguaje:	inglés
Publicado:	Zenodo 2026
Materias:	KV-cache compression LLM inference pre-registration falsification flip rate StreamingLLM H2O open science reproducibility
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Differentially Private KV-Cache Transmission for Split LLM Inference
por: Yu, Renjie
Publicado: (2026)

Companion artefact for "Distributed Serving Architectures for Large Language Model Inference: A Taxonomy, Quantitative Models, and Practitioner's Decision Framework"
por: Chukkapalli, Divya, et al.
Publicado: (2026)

Pre-registration: LLM Judgment Probe for Construction-Sensitivity of English Countability
por: Reynolds, Brett
Publicado: (2026)

K11 Kill Condition Pre-Registration: Network Void Superlinearity — Empirical Replication
por: Eckert, Anthony
Publicado: (2026)

K23 Kill Condition Pre-Registration: Permanent Opacity Produces Knowledge Accumulation
por: Eckert, Anthony
Publicado: (2026)

K16 Kill Condition Pre-Registration: Spontaneous Channel Capacity Increase — Empirical Replication
por: Eckert, Anthony
Publicado: (2026)

K3 Kill Condition Pre-Registration: Three-Condition Sufficiency Test + Gameplay Operationalization
por: Eckert, Anthony
Publicado: (2026)

TurboQuant on Quantized Models: Solving Compound Quantization Error with Pre-RoPE Compression and KV Compaction
por: Gökyıldız, Onur
Publicado: (2026)

CompreSeed Advantage Catalog: A Comprehensive Analysis of Technical Benefits in Zero-Decompression Semantic AI
por: Nakamura, Yoshikazu
Publicado: (2025)

Emergence Detection in LLama 3 (7b)
por: Hess, Justin
Publicado: (2025)

Benchmarking LLM Agent Efficiency in Production Systems: An Observational Prospective Methodology
por: Barcelos Costa, Cleber, et al.
Publicado: (2026)

Cellular Inference Mesh: Salabim DES of edge-cloud LLM inference under PACELC saturation
por: Flores, Carlos Ulisses
Publicado: (2026)

Chatting with technical documentation
por: Ton, Bram, et al.
Publicado: (2025)

Brazilian Linguistic Diversity Platform: Linguistic data for a Brazilian AI
por: Freitag, Raquel Meister Ko, et al.
Publicado: (2025)

VectraYX-Nano: A 42M-Parameter Spanish Cybersecurity LLM with Native MCP Tool Integration
por: Salas Santillana, Juan
Publicado: (2026)

Predictive, Asymmetric, Asynchronous Critic (PAAC): A Framework for Real-time, Zero-Latency Self-Improvement in Large Language Models
por: Kondo, Kazunori
Publicado: (2025)

Predictive, Asymmetric, Asynchronous Critic (PAAC): A Framework for Real-time, Zero-Latency Self-Improvement in Large Language Models
por: Kondo, Kazunori
Publicado: (2025)

The Dirac Point as Necessity Depth Collapse: Results of the Paper 49 Pre-Registration — A Clean Falsification and a Confirmed Null
por: Davis, Abby
Publicado: (2026)

Between Text and Knowledge Graphs: A Knowledge-Aligned Serbian QA Dataset
por: Stanković, Ranka, et al.
Publicado: (2026)

When AI Tells You What You Want to Hear: Sycophantic Behavior of Large Language Models in Dementia Care Settings
por: Kolb, Christian
Publicado: (2026)

Executive Summary: AI Privacy Risks and Mitigations in Large Language Models
por: Khan, Masood
Publicado: (2025)

Extracting infromation from text using an LLM model – first tests
por: Carraro, Francesco
Publicado: (2026)

Q-Jamba: Quaternion-Native Hybrid State-Space Language Models with 3.4× Parameter Compression
por: Aleksej Dzigirej
Publicado: (2026)

Reliability Inference Drives Cue Extraction in Large Language Models Consuming External Reasoning Traces
por: HIDEKI
Publicado: (2026)

aikenkyu001/iterative_self_healing_benchmark: v1.0.0: Scaffolding Trinity for Deterministic LLM Code Generation
por: Miyata, Fumio
Publicado: (2026)

LLM Exposure Monitoring: Platform Openness, Recording Depth, and the Case for an Open Standard
por: Alex, Li
Publicado: (2026)

Nexarag: Democratizing Reproducible Knowledge Graph Contexts for LLM Research
por: Kerby, Thomas, et al.
Publicado: (2026)

A Multilayer Causal Framework for Geometric, Informational, and Meaning-Level Structure in Large Language Models
por: Kawai, Ryoya
Publicado: (2025)

Desinformación en la IA: El riesgo oculto de la falta de cultura de uso en modelos de lenguaje grande en universitarios
por: Gibrán Aguilar Rangel
Publicado: (2025)

Estimating the Impact of Automation on Vocational Education: The Case of Technical Courses
por: Lima, Yuri, et al.
Publicado: (2024)

Experimental Data (Including Hardware Variants) Measuring Runtime for Trace Assisted Caching
por: Rainer, Jonathan
Publicado: (2020)

AI-augmented Cybersecurity Requirements Generation using LLMs | Reproducible Research Package
por: Yelmo, Juan Carlos, et al.
Publicado: (2025)

pytoon-codec: TOON encoder/decoder for time series and events
por: Ribeiro, Diogo
Publicado: (2025)

Selection Mechanics Framework (SMF): A Structural Perspective on Variability and Its Transformation in Large Language Model Outputs
por: Kaneda, Mutsumi
Publicado: (2026)

Hidden in plain sight: Unraveling compensation disclosure bloat with generative AI and its impact on executive compensation
por: Burduli, Lizi, et al.
Publicado: (2026)

LLM-Generated Glioblastoma Drug Synergy Machine Learning: From Rapid Code Prototypes to Project Deliverables Package
por: Kawchak, Kevin
Publicado: (2025)

Inference in Normal Form: Unifying LLM Tricks via TRoT
por: Takahashi, K
Publicado: (2025)

Buddha Base — Pre-Training Philosophical Foundation for LACF-Native LLMs
por: Ochej, Stephane
Publicado: (2026)

Servidor Proxy Caché: Comprensión y asimilación tecnológica
por: Carlos E. Gómez
Publicado: (2012)

DEF_PURPOSE - Immutable Alignment Drift Prevention Mechanism for LLM Architectures
por: Ochej, Stéphane
Publicado: (2026)