Read As Human: Compressing Context via Parallelizable Close Reading and Skimming

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tang, Jiwei, Liu, Shilei, Zhang, Zhicheng, Lv, Qingsong, Zhao, Runsong, Lu, Tingwei, Liu, Langming, Chen, Haibin, Yuan, Yujin, Zheng, Hai-Tao, Su, Wenbo, Zheng, Bo
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PoC: Performance-oriented Context Compression for Large Language Models via Performance Prediction
by: Zhao, Runsong, et al.
Published: (2026)

Data Distribution Matters: A Data-Centric Perspective on Context Compression for Large Language Model
by: Lv, Kangtao, et al.
Published: (2026)

CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling
by: Zhao, Runsong, et al.
Published: (2026)

COMI: Coarse-to-fine Context Compression via Marginal Information Gain
by: Tang, Jiwei, et al.
Published: (2026)

How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models
by: Lv, Kangtao, et al.
Published: (2025)

ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph
by: Liu, Langming, et al.
Published: (2025)

Perception Compressor: A Training-Free Prompt Compression Framework in Long Context Scenarios
by: Tang, Jiwei, et al.
Published: (2024)

ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models
by: Chen, Haibin, et al.
Published: (2025)

PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the Beginning
by: Liu, Langming, et al.
Published: (2026)

Expert Divergence Learning for MoE-based Language Models
by: Li, Jiaang, et al.
Published: (2026)

GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment
by: Tang, Jiwei, et al.
Published: (2025)

Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model
by: Yan, Bencheng, et al.
Published: (2025)

UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering
by: Liu, Langming, et al.
Published: (2025)

An AI-Resilient Text Rendering Technique for Reading and Skimming Documents
by: Gu, Ziwei, et al.
Published: (2024)

Selecting Sources in Library Research: An Activity in Skimming and Critical Reading.
by: Memory, David M., et al.
Published: (1981)

How to Improve Sixth Graders' Reading Comprehension through the Skimming Technique
by: Sandra Calderón Agudelo
Published: (2007)

RAISE: Reinforced Adaptive Instruction Selection For Large Language Models
by: Lv, Qingsong, et al.
Published: (2025)

Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
by: Liu, Langming, et al.
Published: (2025)

Compressing Lengthy Context With UltraGist
by: Zhang, Peitian, et al.
Published: (2024)

Long Context Compression with Activation Beacon
by: Zhang, Peitian, et al.
Published: (2024)

Incarcerated Adult Learners’ English Reading for General Information Through the Skimming Strategy and Graphic Organizers
by: Rubén Miguel Cheuquel Paine
Published: (2023)

Position IDs Matter: An Enhanced Position Layout for Efficient Context Compression in Large Language Models
by: Zhao, Runsong, et al.
Published: (2024)

Visual Text Compression as Measure Transport
by: Tang, Lv, et al.
Published: (2026)

Close Reading with Computers
by: Eve, Martin Paul
Published: (2020)

Closing the Gap in Reading.
by: Ediger, Marlow
Published: (2003)

MemoSight: Unifying Context Compression and Multi Token Prediction for Reasoning Acceleration
by: Liu, Xinyu, et al.
Published: (2026)

Analysis of regularized federated learning
by: Liu, Langming, et al.
Published: (2024)

PharmaShip: An Entity-Centric, Reading-Order-Supervised Benchmark for Chinese Pharmaceutical Shipping Documents
by: Xie, Tingwei, et al.
Published: (2025)

Autoencoding-Free Context Compression for LLMs via Contextual Semantic Anchors
by: Liu, Xin, et al.
Published: (2025)

SemantiCache: Efficient KV Cache Compression via Semantic Chunking and Clustered Merging
by: Wu, Shunlong, et al.
Published: (2026)

MDIT: A Model-free Data Interpolation Method for Diverse Instruction Tuning
by: Li, Yangning, et al.
Published: (2025)

ROAP: A Reading-Order and Attention-Prior Pipeline for Optimizing Layout Transformers in Key Information Extraction
by: Xie, Tingwei, et al.
Published: (2026)

From Token to Line: Enhancing Code Generation with a Long-Term Perspective
by: Lu, Tingwei, et al.
Published: (2025)

ContextEvolve: Multi-Agent Context Compression for Systems Code Optimization
by: Su, Hongyuan, et al.
Published: (2026)

The Roles of Okurigana and Lexical Context in Reading Kanji Words with Kun‐Reading and Their Relationship to Reading Amount
by: Shinichiro Kakihana
Published: (2025)

CREDAL: Close Reading of Data Models
by: Fletcher, George, et al.
Published: (2025)

A Comparative Effectiveness Study of Summarization versus Skim/Scan Strategies on the Reading Achievement of Seventh-Grade Students with Mild Disabilities
by: Edmonds-Behrend, Christina R.
Published: (2009)

Beyond Position Bias: Shifting Context Compression from Position-Driven to Semantic-Driven
by: Tang, Jiwei, et al.
Published: (2026)

Unpacking the Influence of Teachers' Reading Instruction Strategies on Primary School Students' Reading Achievement: Evidence From PIRLS 2021
by: Li Zheng, et al.
Published: (2025)

Read, Watch and Scream! Sound Generation from Text and Video
by: Jeong, Yujin, et al.
Published: (2024)