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标签: paper/llm-vlm/pretraining-architecture
此标签下有20条笔记。
2026年5月
From Pixels to Words -- Towards Native One-Vision Models at Scale
2026年5月
Lance: Unified Multimodal Modeling by Multi-Task Synergy
2026年5月
LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning
2026年5月
LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence
2026年5月
LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding
2026年5月
See What I Mean: Aligning Vision and Language Representations for Video Fine-grained Object Understanding
2026年5月
Toward Native Multimodal Modeling: A Roadmap
2026年5月
Understanding Self-Supervised Learning via Latent Distribution Matching
2026年4月
Adam's Law: Textual Frequency Law on Large Language Models
2026年4月
MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction
2026年3月
DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models
2026年3月
InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editing
2026年3月
Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders
2026年2月
Semantic Tube Prediction: Beating LLM Data Efficiency with JEPA
2026年1月
Soft Clustering Anchors for Self-Supervised Speech Representation Learning in Joint Embedding Prediction Architectures
2025年12月
JEPA as a Neural Tokenizer: Learning Robust Speech Representations with Density Adaptive Attention
2025年12月
VL-JEPA: Joint Embedding Predictive Architecture for Vision-language
2025年9月
LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures
2025年8月
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
2025年7月
Kimi K2: Open Agentic Intelligence