Cover Image

LAS: Loss-less ANN-SNN Conversion for Fully Spike-Driven Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Long, Song, Xiaotian, Sun, Yanan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FAS: Fast ANN-SNN Conversion for Spiking Large Language Models
by: Chen, Long, et al.
Published: (2025)

Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformer
by: Wang, Jingya, et al.
Published: (2025)

Temporal Misalignment in ANN-SNN Conversion and Its Mitigation via Probabilistic Spiking Neurons
by: Bojković, Velibor, et al.
Published: (2025)

Efficient ANN-SNN Conversion with Error Compensation Learning
by: Liu, Chang, et al.
Published: (2025)

SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
by: Xing, Xingrun, et al.
Published: (2024)

DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton
by: Sun, Yiyou, et al.
Published: (2024)

SpikingBrain: Spiking Brain-inspired Large Models
by: Pan, Yuqi, et al.
Published: (2025)

Triangulation as an Acceptance Rule for Multilingual Mechanistic Interpretability
by: Long, Yanan
Published: (2025)

SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
by: Xing, Xingrun, et al.
Published: (2024)

Large Language Models for Intent-Driven Session Recommendations
by: Sun, Zhu, et al.
Published: (2023)

Cut Your Losses in Large-Vocabulary Language Models
by: Wijmans, Erik, et al.
Published: (2024)

STARS: Spike Tail-Aware Relational Synthesis for ANN-to-SNN Data-Free Knowledge Distillation
by: Ye, Shuhan, et al.
Published: (2026)

One-Spike SNN: Single-Spike Phase Coding with Base Manipulation for ANN-to-SNN Conversion Loss Minimization
by: Hwang, Sangwoo, et al.
Published: (2024)

Q-Sparse: All Large Language Models can be Fully Sparsely-Activated
by: Wang, Hongyu, et al.
Published: (2024)

Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization
by: Wang, Ziming, et al.
Published: (2022)

Demystifying OPD: Length Inflation and Stabilization Strategies for Large Language Models
by: Luo, Feng, et al.
Published: (2026)

BrainTransformers: SNN-LLM
by: Tang, Zhengzheng, et al.
Published: (2024)

ProgCo: Program Helps Self-Correction of Large Language Models
by: Song, Xiaoshuai, et al.
Published: (2025)

Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network
by: Oh, Hyunseok, et al.
Published: (2024)

Massive Activations in Large Language Models
by: Sun, Mingjie, et al.
Published: (2024)

Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-training
by: Zhong, Zexuan, et al.
Published: (2024)

Spatial-Temporal Large Language Model for Traffic Prediction
by: Liu, Chenxi, et al.
Published: (2024)

Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
by: Liu, Haochen, et al.
Published: (2025)

Power-Law Decay Loss for Large Language Model Finetuning: A Theory Perspective
by: Shao, Jintian
Published: (2025)

Robust and Scalable Model Editing for Large Language Models
by: Chen, Yingfa, et al.
Published: (2024)

SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks
by: Zhu, Rui-Jie, et al.
Published: (2023)

Kirin: Improving ANN efficiency with SNN Hybridization
by: Wang, Chenyu, et al.
Published: (2026)

Cost-Efficient Large Language Model Serving for Multi-turn Conversations with CachedAttention
by: Gao, Bin, et al.
Published: (2024)

A Survey of On-Policy Distillation for Large Language Models
by: Song, Mingyang, et al.
Published: (2026)

I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models
by: Hu, Xing, et al.
Published: (2024)

Instella: Fully Open Language Models with Stellar Performance
by: Liu, Jiang, et al.
Published: (2025)

Parameter-Efficient Tuning Large Language Models for Graph Representation Learning
by: Zhu, Qi, et al.
Published: (2024)

Orchestrating Dual-Boundaries: An Arithmetic Intensity Inspired Acceleration Framework for Diffusion Language Models
by: Wei, Linye, et al.
Published: (2025)

Are Human Conversations Special? A Large Language Model Perspective
by: Jawale, Toshish, et al.
Published: (2024)

Concept Bottleneck Large Language Models
by: Sun, Chung-En, et al.
Published: (2024)

FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees
by: Nie, Fan, et al.
Published: (2024)

Reference-less Analysis of Context Specificity in Translation with Personalised Language Models
by: Vincent, Sebastian, et al.
Published: (2023)

Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection
by: Shen, Lingzhi, et al.
Published: (2025)

BiTA: Bi-Directional Tuning for Lossless Acceleration in Large Language Models
by: Lin, Feng, et al.
Published: (2024)

On Prompt-Driven Safeguarding for Large Language Models
by: Zheng, Chujie, et al.
Published: (2024)