Artificial Hippocampus Networks for Efficient Long-Context Modeling
Fuente:
arXiv
Saved in:
| Main Authors: | Fang, Yunhao, Yu, Weihao, Zhong, Shu, Ye, Qinghao, Xiong, Xuehan, Wei, Lai |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
by: Chen, Yukang, et al.
Published: (2023)
by: Chen, Yukang, et al.
Published: (2023)
TTKV: Temporal-Tiered KV Cache for Long-Context LLM Inference
by: Dzikanyanga, Gradwell, et al.
Published: (2026)
by: Dzikanyanga, Gradwell, et al.
Published: (2026)
100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?
by: Yang, Wang, et al.
Published: (2025)
by: Yang, Wang, et al.
Published: (2025)
Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
by: Xu, Xiaoyue, et al.
Published: (2024)
by: Xu, Xiaoyue, et al.
Published: (2024)
LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models
by: Shi, Dachuan, et al.
Published: (2025)
by: Shi, Dachuan, et al.
Published: (2025)
MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling
by: MiniCPM Team, et al.
Published: (2026)
by: MiniCPM Team, et al.
Published: (2026)
From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models
by: Xu, Chejian, et al.
Published: (2025)
by: Xu, Chejian, et al.
Published: (2025)
TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection
by: Wu, Wei, et al.
Published: (2024)
by: Wu, Wei, et al.
Published: (2024)
Revisiting In-Context Learning with Long Context Language Models
by: Baek, Jinheon, et al.
Published: (2024)
by: Baek, Jinheon, et al.
Published: (2024)
CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios
by: Wang, Luning, et al.
Published: (2024)
by: Wang, Luning, et al.
Published: (2024)
LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification
by: Yang, Penghui, et al.
Published: (2025)
by: Yang, Penghui, et al.
Published: (2025)
Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning
by: Ling Team, et al.
Published: (2025)
by: Ling Team, et al.
Published: (2025)
MOM: Memory-Efficient Offloaded Mini-Sequence Inference for Long Context Language Models
by: Zhang, Junyang, et al.
Published: (2025)
by: Zhang, Junyang, et al.
Published: (2025)
InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
by: Xiao, Chaojun, et al.
Published: (2024)
by: Xiao, Chaojun, et al.
Published: (2024)
Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search
by: Gu, Yuxian, et al.
Published: (2025)
by: Gu, Yuxian, et al.
Published: (2025)
The Impossibility Triangle of Long-Context Modeling
by: Zhou, Yan
Published: (2026)
by: Zhou, Yan
Published: (2026)
Accelerating Prefilling for Long-Context LLMs via Sparse Pattern Sharing
by: Peng, Dan, et al.
Published: (2025)
by: Peng, Dan, et al.
Published: (2025)
CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending
by: Zhu, Shiyi, et al.
Published: (2023)
by: Zhu, Shiyi, et al.
Published: (2023)
Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels
by: Hamilton, Sil, et al.
Published: (2025)
by: Hamilton, Sil, et al.
Published: (2025)
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference
by: Fu, Qichen, et al.
Published: (2024)
by: Fu, Qichen, et al.
Published: (2024)
Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models
by: Chen, Zhipeng, et al.
Published: (2025)
by: Chen, Zhipeng, et al.
Published: (2025)
PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models
by: Yu, Ye, et al.
Published: (2025)
by: Yu, Ye, et al.
Published: (2025)
LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation
by: Zhang, Xuan, et al.
Published: (2024)
by: Zhang, Xuan, et al.
Published: (2024)
Cost-Optimal Grouped-Query Attention for Long-Context Modeling
by: Chen, Yingfa, et al.
Published: (2025)
by: Chen, Yingfa, et al.
Published: (2025)
HGMEM: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational Modeling
by: Zhou, Chulun, et al.
Published: (2025)
by: Zhou, Chulun, et al.
Published: (2025)
LongSafety: Enhance Safety for Long-Context LLMs
by: Huang, Mianqiu, et al.
Published: (2024)
by: Huang, Mianqiu, et al.
Published: (2024)
How Well Can a Long Sequence Model Model Long Sequences? Comparing Architechtural Inductive Biases on Long-Context Abilities
by: Huang, Jerry
Published: (2024)
by: Huang, Jerry
Published: (2024)
Hybrid Linear Attention Done Right: Efficient Distillation and Effective Architectures for Extremely Long Contexts
by: Chen, Yingfa, et al.
Published: (2026)
by: Chen, Yingfa, et al.
Published: (2026)
LycheeCluster: Efficient Long-Context Inference with Structure-Aware Chunking and Hierarchical KV Indexing
by: Li, Dongfang, et al.
Published: (2026)
by: Li, Dongfang, et al.
Published: (2026)
MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning
by: Zhao, Lulu, et al.
Published: (2024)
by: Zhao, Lulu, et al.
Published: (2024)
MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
by: Yu, Hongli, et al.
Published: (2025)
by: Yu, Hongli, et al.
Published: (2025)
MoBA: Mixture of Block Attention for Long-Context LLMs
by: Lu, Enzhe, et al.
Published: (2025)
by: Lu, Enzhe, et al.
Published: (2025)
MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference
by: Li, Kunxi, et al.
Published: (2025)
by: Li, Kunxi, et al.
Published: (2025)
PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents
by: Gu, Zhuohan, et al.
Published: (2026)
by: Gu, Zhuohan, et al.
Published: (2026)
Latent Context Compilation: Distilling Long Context into Compact Portable Memory
by: Li, Zeju, et al.
Published: (2026)
by: Li, Zeju, et al.
Published: (2026)
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
by: Yang, Rui, et al.
Published: (2024)
by: Yang, Rui, et al.
Published: (2024)
AgentFold: Long-Horizon Web Agents with Proactive Context Management
by: Ye, Rui, et al.
Published: (2025)
by: Ye, Rui, et al.
Published: (2025)
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations
by: Shou, Yuntao, et al.
Published: (2024)
by: Shou, Yuntao, et al.
Published: (2024)
ELITR-Bench: A Meeting Assistant Benchmark for Long-Context Language Models
by: Thonet, Thibaut, et al.
Published: (2024)
by: Thonet, Thibaut, et al.
Published: (2024)
Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning
by: Yang, Wang, et al.
Published: (2025)
by: Yang, Wang, et al.
Published: (2025)
Similar Items
-
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
by: Chen, Yukang, et al.
Published: (2023) -
TTKV: Temporal-Tiered KV Cache for Long-Context LLM Inference
by: Dzikanyanga, Gradwell, et al.
Published: (2026) -
100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?
by: Yang, Wang, et al.
Published: (2025) -
Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
by: Xu, Xiaoyue, et al.
Published: (2024) -
LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models
by: Shi, Dachuan, et al.
Published: (2025)