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Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Mar 30, 2026 · Artificial Intelligence

Meituan’s Fully Discrete Multimodal Base (LongCat-Next) Shows All Physical Signals Can Converge to Tokens

LongCat-Next, a 3‑billion‑parameter multimodal model released by Meituan, adopts a pure discrete token‑based architecture (DiNA) and next‑token prediction, outperforming same‑size rivals on OmniDocBench‑EN, CharXivRQ, and matching QwenVL on visual tasks, while avoiding catastrophic forgetting and achieving a SWE‑Bench score of 43.0, as demonstrated through extensive benchmarks, receipt extraction, OCR, audio dialect reasoning, and image generation experiments.

DiNALongCat-NextOmniDocBench
0 likes · 10 min read
Meituan’s Fully Discrete Multimodal Base (LongCat-Next) Shows All Physical Signals Can Converge to Tokens
Old Zhang's AI Learning
Old Zhang's AI Learning
Mar 10, 2026 · Artificial Intelligence

FireRed-OCR 2B: An Open‑Source VLM That Tackles Structural Hallucination

FireRed‑OCR‑2B, an open‑source 2‑billion‑parameter visual‑language model, addresses structural hallucination in document OCR through a geometry‑aware data factory and a three‑stage training pipeline, achieving a 92.94 OmniDocBench v1.5 score and leading end‑to‑end performance while remaining lightweight enough for consumer‑grade GPUs.

FireRed-OCROCROmniDocBench
0 likes · 11 min read
FireRed-OCR 2B: An Open‑Source VLM That Tackles Structural Hallucination
Old Zhang's AI Learning
Old Zhang's AI Learning
Feb 3, 2026 · Artificial Intelligence

Why GLM-OCR Leads OCR Benchmarks: 0.9B Model Tops OmniDocBench

GLM-OCR, a 0.9B‑parameter multimodal OCR model from Zhipu, achieves the highest score (94.62) on OmniDocBench V1.5, offers lightweight deployment via vLLM, Ollama, API and SDK, and outperforms larger rivals like DeepSeek‑OCR and PaddleOCR in speed and accuracy.

GLM-OCROCROllama
0 likes · 10 min read
Why GLM-OCR Leads OCR Benchmarks: 0.9B Model Tops OmniDocBench
Old Zhang's AI Learning
Old Zhang's AI Learning
Jan 27, 2026 · Artificial Intelligence

DeepSeek-OCR 2 Enables AI to Read Images with Human‑Like Logical Flow

DeepSeek-OCR 2 introduces Visual Causal Flow and a LLM‑based visual encoder, achieving 91.09% accuracy on OmniDocBench v1.5, while providing detailed installation, two inference modes (vLLM and Transformers), and an analysis of its strengths and limitations for complex document processing.

DeepEncoder V2DeepSeek-OCR 2LLM
0 likes · 9 min read
DeepSeek-OCR 2 Enables AI to Read Images with Human‑Like Logical Flow
HyperAI Super Neural
HyperAI Super Neural
Nov 11, 2025 · Artificial Intelligence

How Deepseek-OCR Achieves SOTA Using Ultra‑Low Visual Token Counts

Deepseek-OCR leverages a visual‑compression approach, combining DeepEncoder and the DeepSeek3B‑MoE‑A570M decoder, to represent document text with far fewer visual tokens, achieving up to 97% OCR accuracy and surpassing GOT‑OCR2.0 and MinerU2.0 on OmniDocBench, while the article offers a one‑click deployment tutorial.

DeepEncoderDeepSeek-OCRLLM
0 likes · 6 min read
How Deepseek-OCR Achieves SOTA Using Ultra‑Low Visual Token Counts