:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ji, Shihao, Li, Mingyu, Song, Zihui
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2606.01101
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

L-MoE: End-to-End Training of a Lightweight Mixture of Low-Rank Adaptation Experts
par: Ji, Shihao, et autres
Publié: (2025)

MyGO: Memory Yielding Generative Offline-consolidation for Lifelong Learning Systems
par: Ji, Shihao, et autres
Publié: (2025)

Training Long-Context LLMs Efficiently via Chunk-wise Optimization
par: Li, Wenhao, et autres
Publié: (2025)

Data Scaling as Progressive Coverage of a Predictive Contribution Spectrum
par: Song, Zihui, et autres
Publié: (2026)

Chinese Stock Prediction Based on a Multi-Modal Transformer Framework: Macro-Micro Information Fusion
par: AI, Lumen, et autres
Publié: (2025)

Expected Value Alignment for Generative Reward Modeling in Formal Mathematics Verification
par: Ji, Shihao, et autres
Publié: (2026)

LycheeCluster: Efficient Long-Context Inference with Structure-Aware Chunking and Hierarchical KV Indexing
par: Li, Dongfang, et autres
Publié: (2026)

Chunk-Guided Q-Learning
par: Song, Gwanwoo, et autres
Publié: (2026)

OpenGrok: Enhancing SNS Data Processing with Distilled Knowledge and Mask-like Mechanisms
par: AI, Lumen, et autres
Publié: (2025)

Cognitive Chunking for Soft Prompts: Accelerating Compressor Learning via Block-wise Causal Masking
par: Liu, Guojie, et autres
Publié: (2026)

Decoupled Q-Chunking
par: Li, Qiyang, et autres
Publié: (2025)

Adaptive Action Chunking via Multi-Chunk Q Value Estimation
par: Shin, Yongjae, et autres
Publié: (2026)

Soft Weighted Machine Unlearning
par: Qiao, Xinbao, et autres
Publié: (2025)

Reflective Preference Optimization (RPO): Enhancing On-Policy Alignment via Hint-Guided Reflection
par: Zhao, Zihui, et autres
Publié: (2025)

Reinforcement Learning with Action Chunking
par: Li, Qiyang, et autres
Publié: (2025)

WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting
par: Lu, Jiecheng, et autres
Publié: (2024)

Xiaoice: Training-Free Video Understanding via Self-Supervised Spatio-Temporal Clustering of Semantic Features
par: Ji, Shihao, et autres
Publié: (2025)

Approximate Subgraph Matching with Neural Graph Representations and Reinforcement Learning
par: Li, Kaiyang, et autres
Publié: (2026)

TTKV: Temporal-Tiered KV Cache for Long-Context LLM Inference
par: Dzikanyanga, Gradwell, et autres
Publié: (2026)

Bayesian Model Merging
par: Li, Kaiyang, et autres
Publié: (2026)

Chunking Strategies for Multimodal AI Systems
par: R, Shashanka B, et autres
Publié: (2025)

Discovering Chunks in Neural Embeddings for Interpretability
par: Wu, Shuchen, et autres
Publié: (2025)

SG-UniBuc-NLP at SemEval-2026 Task 6: Multi-Head RoBERTa with Chunking for Long-Context Evasion Detection
par: Stefan, Gabriel, et autres
Publié: (2026)

HyperGCL: Multi-Modal Graph Contrastive Learning via Learnable Hypergraph Views
par: Saifuddin, Khaled Mohammed, et autres
Publié: (2025)

Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs
par: Song, Woomin, et autres
Publié: (2024)

Credal Transformer: A Principled Approach for Quantifying and Mitigating Hallucinations in Large Language Models
par: Ji, Shihao, et autres
Publié: (2025)

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?
par: Yang, Wang, et autres
Publié: (2025)

RLLTE: Long-Term Evolution Project of Reinforcement Learning
par: Yuan, Mingqi, et autres
Publié: (2023)

Temporal Chunking Enhances Recognition of Implicit Sequential Patterns
par: Dey, Jayanta, et autres
Publié: (2025)

Scalable Offline Model-Based RL with Action Chunks
par: Park, Kwanyoung, et autres
Publié: (2025)

Optimizing Automatic Summarization of Long Clinical Records Using Dynamic Context Extension:Testing and Evaluation of the NBCE Method
par: Zhang, Guoqing, et autres
Publié: (2024)

The $\mathbf{Y}$-Combinator for LLMs: Solving Long-Context Rot with $λ$-Calculus
par: Roy, Amartya, et autres
Publié: (2026)

In-Context Reinforcement Learning through Bayesian Fusion of Context and Value Prior
par: Berkes, Anaïs, et autres
Publié: (2026)

In-Context Algorithm Emulation in Fixed-Weight Transformers
par: Hu, Jerry Yao-Chieh, et autres
Publié: (2025)

SlimPipe: Memory-Thrifty and Efficient Pipeline Parallelism for Long-Context LLM Training
par: Li, Zhouyang, et autres
Publié: (2025)

A Unified Framework for Generative Data Augmentation: A Comprehensive Survey
par: Chen, Yunhao, et autres
Publié: (2023)

Long Context In-Context Compression by Getting to the Gist of Gisting
par: Petrov, Aleksandar, et autres
Publié: (2025)

Understanding Multimodal Failure in Action-Chunking Behavioral Cloning
par: Mazza, Lorenzo, et autres
Publié: (2026)

Real-Time Execution of Action Chunking Flow Policies
par: Black, Kevin, et autres
Publié: (2025)

Continual Learning for Multimodal Data Fusion of a Soft Gripper
par: Kushawaha, Nilay, et autres
Publié: (2024)