Cover Image

LooGLE: Can Long-Context Language Models Understand Long Contexts?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Jiaqi, Wang, Mengmeng, Zheng, Zilong, Zhang, Muhan
Format:	Preprint
Published:	2023
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

LooGLE v2: Are LLMs Ready for Real World Long Dependency Challenges?
by: He, Ziyuan, et al.
Published: (2025)

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning
by: Mao, Yansheng, et al.
Published: (2024)

VTCBench: Can Vision-Language Models Understand Long Context with Vision-Text Compression?
by: Zhao, Hongbo, et al.
Published: (2025)

LongSafety: Evaluating Long-Context Safety of Large Language Models
by: Lu, Yida, et al.
Published: (2025)

LIFT: A Novel Framework for Enhancing Long-Context Understanding of LLMs via Long Input Fine-Tuning
by: Mao, Yansheng, et al.
Published: (2025)

FocusLLM: Precise Understanding of Long Context by Dynamic Condensing
by: Li, Zhenyu, et al.
Published: (2024)

Self-Taught Agentic Long Context Understanding
by: Zhuang, Yufan, et al.
Published: (2025)

Are Long-LLMs A Necessity For Long-Context Tasks?
by: Qian, Hongjin, et al.
Published: (2024)

Revisiting In-Context Learning with Long Context Language Models
by: Baek, Jinheon, et al.
Published: (2024)

Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models
by: Tian, Junfeng, et al.
Published: (2024)

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

OPSDL: On-Policy Self-Distillation for Long-Context Language Models
by: Zhang, Xinsen, et al.
Published: (2026)

Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
by: Lee, Jinhyuk, et al.
Published: (2024)

Leveraging Long-Context Large Language Models for Multi-Document Understanding and Summarization in Enterprise Applications
by: Godbole, Aditi, et al.
Published: (2024)

Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding
by: Liu, Yanming, et al.
Published: (2024)

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels
by: Hamilton, Sil, et al.
Published: (2025)

CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels
by: Wei, Lingxiao, et al.
Published: (2024)

LongRM: Revealing and Unlocking the Context Boundary of Reward Modeling
by: Tang, Zecheng, et al.
Published: (2025)

Retrieval Meets Reasoning: Dynamic In-Context Editing for Long-Text Understanding
by: Fei, Weizhi, et al.
Published: (2024)

Context Memorization for Efficient Long Context Generation
by: Okoshi, Yasuyuki, et al.
Published: (2026)

RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation
by: Wang, Zihao, et al.
Published: (2024)

LiteLong: Resource-Efficient Long-Context Data Synthesis for LLMs
by: Jia, Junlong, et al.
Published: (2025)

Activation-aware Probe-Query: Effective Key-Value Retrieval for Long-Context LLMs Inference
by: Xiao, Qingfa, et al.
Published: (2025)

Towards Long Context Hallucination Detection
by: Liu, Siyi, et al.
Published: (2025)

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams
by: Wu, Yongxuan, et al.
Published: (2025)

NExtLong: Toward Effective Long-Context Training without Long Documents
by: Gao, Chaochen, et al.
Published: (2025)

Evaluating Zero-Shot Long-Context LLM Compression
by: Wang, Chenyu, et al.
Published: (2024)

Revisiting Long-context Modeling from Context Denoising Perspective
by: Tang, Zecheng, et al.
Published: (2025)

CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning
by: Cui, Hao, et al.
Published: (2025)

HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly
by: Yen, Howard, et al.
Published: (2024)

SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass
by: Liu, Yewei, et al.
Published: (2026)

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?
by: Yang, Wang, et al.
Published: (2025)

LongSafety: Enhance Safety for Long-Context LLMs
by: Huang, Mianqiu, 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)

UniMem: Towards a Unified View of Long-Context Large Language Models
by: Fang, Junjie, et al.
Published: (2024)

QUITO: Accelerating Long-Context Reasoning through Query-Guided Context Compression
by: Wang, Wenshan, et al.
Published: (2024)

DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration
by: Zhang, Hanzhi, et al.
Published: (2025)

GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models
by: Li, Shilong, et al.
Published: (2024)

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

APCE: Adaptive Progressive Context Expansion for Long Context Processing
by: Lee, Baisub, et al.
Published: (2025)