出版物

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2026

01.

Compression in 3d gaussian splatting: A survey of methods, trends, and future directions

02.

Learning global hypothesis space for enhancing synergistic reasoning chain

03.

Language-guided token compression with reinforcement learning in large vision-language models

04.

LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models

05.

Text summarization via global structure awareness

06.

Lightweight llm agent memory with small language models

07.

GRASP: Guided Region-Aware Sparse Prompting for Adapting MLLMs to Remote Sensing

08.

From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation

09.

Ghs-tda: A synergistic reasoning framework integrating global hypothesis space with topological data analysis

10.

Towards visual chain-of-thought reasoning: A comprehensive survey

11.

Transforming external knowledge into triplets for enhanced retrieval in rag of llms

12.

Experience transfer for multimodal llm agents in minecraft game