Image de couverture de livre

A Decomposition Perspective to Long-context Reasoning for LLMs

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xiao, Yanling, Xie, Huaibing, Zhao, Guoliang, Dou, Shihan, Wang, Shaolei, Liu, Yiting, Zheng, Nantao, Zhang, Cheng, Zhou, Pluto, Zhang, Zhisong, Liu, Lemao
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Probing How Scalable Table Data Enhances General Long-Context Reasoning
par: Xie, Huaibing, et autres
Publié: (2026)

Large Language Models Can Self-Improve in Long-context Reasoning
par: Li, Siheng, et autres
Publié: (2024)

Stability conditions on blowups
par: Zhang, Nantao
Publié: (2025)

CL-bench: A Benchmark for Context Learning
par: Dou, Shihan, et autres
Publié: (2026)

Self-Distillation for Multi-Token Prediction
par: Zhao, Guoliang, et autres
Publié: (2026)

Stability Conditions on $\mathbb P^3$
par: Wu, Dongjian, et autres
Publié: (2024)

The $G$-Noncommutative Minimal Model Program
par: Wu, Dongjian, et autres
Publié: (2026)

Are Long-LLMs A Necessity For Long-Context Tasks?
par: Qian, Hongjin, et autres
Publié: (2024)

CL-bench Life: Can Language Models Learn from Real-Life Context?
par: Dou, Shihan, et autres
Publié: (2026)

LongIns: A Challenging Long-context Instruction-based Exam for LLMs
par: Gavin, Shawn, et autres
Publié: (2024)

Long-context LLMs Struggle with Long In-context Learning
par: Li, Tianle, et autres
Publié: (2024)

Atomic Calibration of LLMs in Long-Form Generations
par: Zhang, Caiqi, et autres
Publié: (2024)

Understanding LLMs' Fluid Intelligence Deficiency: An Analysis of the ARC Task
par: Wu, Junjie, et autres
Publié: (2025)

Recall with Reasoning: Chain-of-Thought Distillation for Mamba's Long-Context Memory and Extrapolation
par: Ma, Junyu, et autres
Publié: (2025)

Calibrating the Role of Entanglement in Variational Quantum Algorithms from a Geometric Perspective
par: Du, Chunxiao, et autres
Publié: (2026)

Neural Spectral Decomposition for Dataset Distillation
par: Yang, Shaolei, et autres
Publié: (2024)

Long‐Lasting and High‐Power‐Density Yarn‐Based Moisture‐Enabled Electric Generator for Self‐powered Electronic Textiles
par: Wenhu Gao, et autres
Publié: (2025)

Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generation
par: Lv, Changze, et autres
Publié: (2026)

Excavate the potential of Single-Scale Features: A Decomposition Network for Water-Related Optical Image Enhancement
par: Cheng, Zheng, et autres
Publié: (2025)

Improving RL Exploration for LLM Reasoning through Retrospective Replay
par: Dou, Shihan, et autres
Publié: (2025)

SAM: State-Adaptive Memory for Long-Horizon Reasoning Agent
par: Hu, Yuyang, et autres
Publié: (2026)

A Multi-Task Embedder For Retrieval Augmented LLMs
par: Zhang, Peitian, et autres
Publié: (2023)

SpeContext: Enabling Efficient Long-context Reasoning with Speculative Context Sparsity in LLMs
par: Xu, Jiaming, et autres
Publié: (2025)

DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
par: Zhang, Shaolei, et autres
Publié: (2025)

DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models
par: Chung, Tsz Ting, et autres
Publié: (2025)

Long Context Compression with Activation Beacon
par: Zhang, Peitian, et autres
Publié: (2024)

Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models
par: Qiu, Yifu, et autres
Publié: (2025)

Revealing the Learning Dynamics of Long-Context Continual Pre-training
par: Liang, Yupu, et autres
Publié: (2026)

AgentFugue: Agent Scaling for Long-Horizon Tasks through Collective Reasoning
par: Hu, Yuyang, et autres
Publié: (2026)

RetailBench: Evaluating Long-Horizon Autonomous Decision-Making and Strategy Stability of LLM Agents in Realistic Retail Environments
par: Zhang, Linghua, et autres
Publié: (2026)

DISTFLASHATTN: Distributed Memory-efficient Attention for Long-context LLMs Training
par: Li, Dacheng, et autres
Publié: (2023)

CreDes: Causal Reasoning Enhancement and Dual-End Searching for Solving Long-Range Reasoning Problems using LLMs
par: Wang, Kangsheng, et autres
Publié: (2024)

LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA
par: Zhang, Jiajie, et autres
Publié: (2024)

Are Your LLMs Capable of Stable Reasoning?
par: Liu, Junnan, et autres
Publié: (2024)

Steering LLMs via Scalable Interactive Oversight
par: Zhou, Enyu, et autres
Publié: (2026)

Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective
par: Li, Tianlong, et autres
Publié: (2024)

CC2Vec: Combining Typed Tokens with Contrastive Learning for Effective Code Clone Detection
par: Dou, Shihan, et autres
Publié: (2024)

High-dimentional Multipartite Entanglement Structure Detection with Low Cost
par: Li, Rui, et autres
Publié: (2024)

Single entanglement connection architecture between multi-layer bipartite Hardware Efficient Ansatz
par: Zhang, Shikun, et autres
Publié: (2023)

UniGist: Towards General and Hardware-aligned Sequence-level Long Context Compression
par: Deng, Chenlong, et autres
Publié: (2025)