Imagen de Portada

SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Shafipour, Rasoul, Harrison, David, Horton, Maxwell, Marker, Jeffrey, Bedayat, Houman, Mehta, Sachin, Rastegari, Mohammad, Najibi, Mahyar, Naderiparizi, Saman
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference
por: Fu, Qichen, et al.
Publicado: (2024)

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data
por: Mehta, Sachin, et al.
Publicado: (2024)

Bytes Are All You Need: Transformers Operating Directly On File Bytes
por: Horton, Maxwell, et al.
Publicado: (2023)

LEAP: Learnable End-to-End Adaptive Pruning of Large Language Models
por: Mozaffari, Mohammad, et al.
Publicado: (2026)

Diffusion Models as Masked Audio-Video Learners
por: Nunez, Elvis, et al.
Publicado: (2023)

CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning
por: Cao, Qingqing, et al.
Publicado: (2024)

Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation
por: Merth, Thomas, et al.
Publicado: (2024)

OpenELM: An Efficient Language Model Family with Open Training and Inference Framework
por: Mehta, Sachin, et al.
Publicado: (2024)

Speculative Streaming: Fast LLM Inference without Auxiliary Models
por: Bhendawade, Nikhil, et al.
Publicado: (2024)

KV Prediction for Improved Time to First Token
por: Horton, Maxwell, et al.
Publicado: (2024)

From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs
por: Nishu, Kumari, et al.
Publicado: (2025)

Efficient Vision-Language Models by Summarizing Visual Tokens into Compact Registers
por: Wen, Yuxin, et al.
Publicado: (2024)

A Novel Approach for Pseudo-Random Seed Generation
por: Sacha Pelaiz
Publicado: (2013)

SeedAIchemy: LLM-Driven Seed Corpus Generation for Fuzzing
por: Wen, Aidan, et al.
Publicado: (2025)

Seed Hijacking of LLM Sampling and Quantum Random Number Defense
por: You, Ziyang, et al.
Publicado: (2026)

Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
por: Vemulapalli, Raviteja, et al.
Publicado: (2023)

Seed-to-Seed: Image Translation in Diffusion Seed Space
por: Greenberg, Or, et al.
Publicado: (2024)

All Seeds Are Not Equal: Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds
por: Li, Shuangqi, et al.
Publicado: (2024)

KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation
por: Cho, Minsik, et al.
Publicado: (2024)

M2R2: Mixture of Multi-Rate Residuals for Efficient Transformer Inference
por: Bhendawade, Nikhil, et al.
Publicado: (2025)

Heterotypic Seeding Generates Mixed Amyloid Polymorphs
por: Siddhartha Banerjee, et al.
Publicado: (2024)

Growth of Light Seed Black Holes in the Early Universe
por: Mehta, Daxal H., et al.
Publicado: (2026)

TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining
por: Li, Jeffrey, et al.
Publicado: (2025)

QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache
por: Tiwari, Rishabh, et al.
Publicado: (2025)

Transcranial Direct Current Stimulation and Mindfulness for Cognitive and Mood Recovery in Stroke Survivors: A Pilot Randomized Controlled Study
por: Atekeh Mosannaei Najibi, et al.
Publicado: (2025)

Seeds
Publicado: (2023)

The Instability of Safety: How Random Seeds and Temperature Expose Inconsistent LLM Refusal Behavior
por: Larsen, Erik
Publicado: (2025)

Convergence of Random Products of Countably Infinitely Many Projections
por: Eskandari, Rasoul, et al.
Publicado: (2024)

Evaluating the Impact of Seed‐Borne Mycoflora on Seed Quality and Health of Various Oryza sativa Varieties
por: Mohammad Waris Haider, et al.
Publicado: (2024)

Rethinking Weight Tying: Pseudo-Inverse Tying for LM Stable Training and Updates
por: Gu, Jian, et al.
Publicado: (2026)

Random Quantum Circuits as Seeds for Continuous Generative Models
por: Hirviniemi, Olli, et al.
Publicado: (2026)

Seed Based Approach for Near Lossless to Lossless Image Compression
por: Tanuja R. Patil, et al.
Publicado: (2021)

Growth of Light-Seed Black Holes in Gas-Rich Galaxies at High Redshift
por: Mehta, Daxal, et al.
Publicado: (2024)

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds
por: Zhang, Yu, et al.
Publicado: (2022)

Nearly-Linear Time Seeded Extractors with Short Seeds
por: Doron, Dean, et al.
Publicado: (2024)

Annual Legume Seedbank Management Involves Compromises Between Feeding Value to Sheep and the Impact of Seed Mass and Dormancy on Survival of Ingested Seeds
por: Hayley C. Norman, et al.
Publicado: (2026)

Seed Technology
por: Jadhav, Sujeet
Publicado: (2026)

Seeds of Mobilization
por: Cho, Joan E.
Publicado: (2023)

The Good Seed
por: McKinney, Eleanor R., et al.
Publicado: (1970)

SeedER: Seed-and-Expand Retrieval from Knowledge Graphs
por: Shirzad, Hamed, et al.
Publicado: (2026)