Cover Image

Resonance RoPE: Improving Context Length Generalization of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Suyuchen, Kobyzev, Ivan, Lu, Peng, Rezagholizadeh, Mehdi, Liu, Bang
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Periodic RoPE for Infinite Context LLMs
by: Huo, Simin
Published: (2026)

Scaling Laws of RoPE-based Extrapolation
by: Liu, Xiaoran, et al.
Published: (2023)

RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models
by: Pan, Dayan, et al.
Published: (2025)

RoPE Distinguishes Neither Positions Nor Tokens in Long Contexts, Provably
by: Du, Yufeng, et al.
Published: (2026)

Base of RoPE Bounds Context Length
by: Men, Xin, et al.
Published: (2024)

CoPE: Clipped RoPE as A Scalable Free Lunch for Long Context LLMs
by: Li, Haoran, et al.
Published: (2026)

LinearARD: Linear-Memory Attention Distillation for RoPE Restoration
by: Yang, Ning, et al.
Published: (2026)

Demystifying the Slash Pattern in Attention: The Role of RoPE
by: Cheng, Yuan, et al.
Published: (2026)

On the token distance modeling ability of higher RoPE attention dimension
by: Hong, Xiangyu, et al.
Published: (2024)

Rotary Positional Embeddings as Phase Modulation: Theoretical Bounds on the RoPE Base for Long-Context Transformers
by: Liu, Feilong
Published: (2026)

RoPE Attention Can Be Trained in Almost Linear Time
by: Cao, Yang, et al.
Published: (2024)

Circuit Complexity Bounds for RoPE-based Transformer Architecture
by: Chen, Bo, et al.
Published: (2024)

Theoretical Constraints on the Expressive Power of $\mathsf{RoPE}$-based Tensor Attention Transformers
by: Li, Xiaoyu, et al.
Published: (2024)

Improving Context Fidelity via Native Retrieval-Augmented Reasoning
by: Wang, Suyuchen, et al.
Published: (2025)

EliteKV: Scalable KV Cache Compression via RoPE Frequency Selection and Joint Low-Rank Projection
by: Zhou, Yuhao, et al.
Published: (2025)

R$^3$Mem: Bridging Memory Retention and Retrieval via Reversible Compression
by: Wang, Xiaoqiang, et al.
Published: (2025)

ReGLA: Refining Gated Linear Attention
by: Lu, Peng, et al.
Published: (2025)

FACT: Examining the Effectiveness of Iterative Context Rewriting for Multi-fact Retrieval
by: Wang, Jinlin, et al.
Published: (2024)

RoPE-LIME: RoPE-Space Locality + Sparse-K Sampling for Efficient LLM Attribution
by: Picov, Isaac, et al.
Published: (2026)

LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization
by: Lu, Peng, et al.
Published: (2023)

Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity
by: Metel, Michael R., et al.
Published: (2024)

Understanding the RoPE Extensions of Long-Context LLMs: An Attention Perspective
by: Zhong, Meizhi, et al.
Published: (2024)

Shuffle the Context: RoPE-Perturbed Self-Distillation for Long-Context Adaptation
by: Li, Zichong, et al.
Published: (2026)

Positional versus Symbolic Attention Heads: Learning Dynamics, RoPE Geometry, and Length Generalization
by: Urrutia, Felipe, et al.
Published: (2026)

A Circular Argument : Does RoPE need to be Equivariant for Vision?
by: van de Geijn, Chase, et al.
Published: (2025)

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models
by: Han, Chi, et al.
Published: (2023)

LongSkywork: A Training Recipe for Efficiently Extending Context Length in Large Language Models
by: Zhao, Liang, et al.
Published: (2024)

Frayed RoPE and Long Inputs: A Geometric Perspective
by: Wertheimer, Davis, et al.
Published: (2026)

InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
by: Yan, Yuchen, et al.
Published: (2025)

Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models
by: Huang, Jerry, et al.
Published: (2024)

Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models
by: Jamialahmadi, Benyamin, et al.
Published: (2025)

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training
by: Wang, Haonan, et al.
Published: (2024)

When Long Helps Short: How Context Length in Supervised Fine-tuning Affects Behavior of Large Language Models
by: Zheng, Yingming, et al.
Published: (2025)

Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models
by: Wang, Xindi, et al.
Published: (2024)

RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers
by: Gokmen, Ahmet Berke, et al.
Published: (2025)

RoCar: A Relationship Network-based Evaluation Method for Large Language Models
by: Wang, Ming, et al.
Published: (2023)

Towards Practical Tool Usage for Continually Learning LLMs
by: Huang, Jerry, et al.
Published: (2024)

UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models
by: He, Guangxin, et al.
Published: (2025)

Genshin: General Shield for Natural Language Processing with Large Language Models
by: Peng, Xiao, et al.
Published: (2024)

RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
by: An, Bang, et al.
Published: (2025)