Image de couverture de livre

Naive Bayes-based Context Extension for Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Su, Jianlin, Ahmed, Murtadha, Wenbo, Ao, Luo, Zhu, Mingren, Liu, Yunfeng
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning
par: Ahmed, Murtadha, et autres
Publié: (2025)

BERT-ASC: Auxiliary-Sentence Construction for Implicit Aspect Learning in Sentiment Analysis
par: Ahmed, Murtadha, et autres
Publié: (2022)

AlcLaM: Arabic Dialectal Language Model
par: Ahmed, Murtadha, et autres
Publié: (2024)

Supervised Gradual Machine Learning for Aspect Category Detection
par: Ahmed, Murtadha, et autres
Publié: (2024)

PoC: Performance-oriented Context Compression for Large Language Models via Performance Prediction
par: Zhao, Runsong, et autres
Publié: (2026)

Large Language Models Naively Recover Ethnicity from Individual Records
par: Dasanaike, Noah
Publié: (2026)

Data Distribution Matters: A Data-Centric Perspective on Context Compression for Large Language Model
par: Lv, Kangtao, et autres
Publié: (2026)

GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models
par: Li, Shilong, et autres
Publié: (2024)

E^2-LLM: Efficient and Extreme Length Extension of Large Language Models
par: Liu, Jiaheng, et autres
Publié: (2024)

YaRN: Efficient Context Window Extension of Large Language Models
par: Peng, Bowen, et autres
Publié: (2023)

Don't Shoot The Breeze: Topic Continuity Model Using Nonlinear Naive Bayes With Attention
par: Pi, Shu-Ting, et autres
Publié: (2026)

The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey
par: Pawar, Saurav, et autres
Publié: (2024)

In-Context Watermarks for Large Language Models
par: Liu, Yepeng, et autres
Publié: (2025)

Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models
par: Lian, Haoran, et autres
Publié: (2024)

ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph
par: Liu, Langming, et autres
Publié: (2025)

Marathon: A Race Through the Realm of Long Context with Large Language Models
par: Zhang, Lei, et autres
Publié: (2023)

Can Large Language Models Understand Context?
par: Zhu, Yilun, et autres
Publié: (2024)

Recognizing Limits: Investigating Infeasibility in Large Language Models
par: Zhang, Wenbo, et autres
Publié: (2024)

Eliciting the Priors of Large Language Models using Iterated In-Context Learning
par: Zhu, Jian-Qiao, et autres
Publié: (2024)

BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models
par: Luo, Kun, et autres
Publié: (2024)

FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding
par: Deng, Jingyang, et autres
Publié: (2024)

Thus Spake Long-Context Large Language Model
par: Liu, Xiaoran, et autres
Publié: (2025)

MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors Routing
par: Zhou, Hao, et autres
Publié: (2024)

Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models
par: Chen, Longze, et autres
Publié: (2024)

Beyond Context: Large Language Models' Failure to Grasp Users' Intent
par: Hussain, Ahmed M., et autres
Publié: (2025)

A Survey on Transformer Context Extension: Approaches and Evaluation
par: Liu, Yijun, et autres
Publié: (2025)

Position IDs Matter: An Enhanced Position Layout for Efficient Context Compression in Large Language Models
par: Zhao, Runsong, et autres
Publié: (2024)

PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the Beginning
par: Liu, Langming, et autres
Publié: (2026)

A Survey of Context Engineering for Large Language Models
par: Mei, Lingrui, et autres
Publié: (2025)

ProgCo: Program Helps Self-Correction of Large Language Models
par: Song, Xiaoshuai, et autres
Publié: (2025)

Self-Updatable Large Language Models by Integrating Context into Model Parameters
par: Wang, Yu, et autres
Publié: (2024)

L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models
par: Liu, Xiaohao, et autres
Publié: (2025)

LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking
par: Xin, Amy, et autres
Publié: (2024)

On Context Utilization in Summarization with Large Language Models
par: Ravaut, Mathieu, et autres
Publié: (2023)

In-Context Former: Lightning-fast Compressing Context for Large Language Model
par: Wang, Xiangfeng, et autres
Publié: (2024)

Large Language Models are In-Context Molecule Learners
par: Li, Jiatong, et autres
Publié: (2024)

Benchmarking Logistic Regression, SVM, Naive Bayes, and IndoBERT Fine-Tuning for Sentiment Analysis on Indonesian Product Reviews
par: Zahra, Nabila Zakiyah, et autres
Publié: (2026)

Membership Inference Attack against Long-Context Large Language Models
par: Wang, Zixiong, et autres
Publié: (2024)

Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization
par: Shao, Ninglu, et autres
Publié: (2024)

LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios
par: Wu, Xiaodong, et autres
Publié: (2024)