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Collections including paper arxiv:2510.24821

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Paper • 2405.15223 • Published May 24, 2024 • 16
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 54
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 91
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27, 2024 • 35

Is Multilingual LLM Watermarking Truly Multilingual? A Simple Back-Translation Solution

Paper • 2510.18019 • Published Oct 20, 2025 • 18
PORTool: Tool-Use LLM Training with Rewarded Tree

Paper • 2510.26020 • Published Oct 29, 2025 • 5
POWSM: A Phonetic Open Whisper-Style Speech Foundation Model

Paper • 2510.24992 • Published Oct 28, 2025 • 5
Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation

Paper • 2510.24821 • Published Oct 28, 2025 • 41

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

Paper • 2504.02821 • Published Apr 3, 2025 • 10
TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos

Paper • 2504.17343 • Published Apr 24, 2025 • 13
ViSMaP: Unsupervised Hour-long Video Summarisation by Meta-Prompting

Paper • 2504.15921 • Published Apr 22, 2025 • 7
Causal-Copilot: An Autonomous Causal Analysis Agent

Paper • 2504.13263 • Published Apr 17, 2025 • 7

💡HF Papers Live 5: Omni-Modal models

meituan-longcat/LongCat-Flash-Omni

Any-to-Any • 561B • Updated Nov 11, 2025 • 198 • 116
LongCat-Flash-Omni Technical Report

Paper • 2511.00279 • Published Oct 31, 2025 • 28
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM

Paper • 2510.15870 • Published Oct 17, 2025 • 93
nvidia/omnivinci

Feature Extraction • Updated Feb 23 • 320 • 178

Ming is the multi-modal series of any-to-any models developed by Ant Ling team.

inclusionAI/Ming-flash-omni-2.0

Any-to-Any • 104B • Updated Feb 12 • 4.44k • 274
inclusionAI/Ming-omni-tts-16.8B-A3B

Text-to-Speech • 18B • Updated Jun 15 • 84 • 54
inclusionAI/Ming-omni-tts-0.5B

Text-to-Speech • 2B • Updated Feb 25 • 20.7k • 39
inclusionAI/Ming-omni-tts-tokenizer-12Hz

Audio-to-Audio • 0.8B • Updated Feb 25 • 67 • 10

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Paper • 2405.15223 • Published May 24, 2024 • 16
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 54
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 91
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27, 2024 • 35

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Paper • 2405.15223 • Published May 24, 2024 • 16
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 54
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 91
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27, 2024 • 35

💡HF Papers Live 5: Omni-Modal models

meituan-longcat/LongCat-Flash-Omni

Any-to-Any • 561B • Updated Nov 11, 2025 • 198 • 116
LongCat-Flash-Omni Technical Report

Paper • 2511.00279 • Published Oct 31, 2025 • 28
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM

Paper • 2510.15870 • Published Oct 17, 2025 • 93
nvidia/omnivinci

Feature Extraction • Updated Feb 23 • 320 • 178

Is Multilingual LLM Watermarking Truly Multilingual? A Simple Back-Translation Solution

Paper • 2510.18019 • Published Oct 20, 2025 • 18
PORTool: Tool-Use LLM Training with Rewarded Tree

Paper • 2510.26020 • Published Oct 29, 2025 • 5
POWSM: A Phonetic Open Whisper-Style Speech Foundation Model

Paper • 2510.24992 • Published Oct 28, 2025 • 5
Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation

Paper • 2510.24821 • Published Oct 28, 2025 • 41

Ming is the multi-modal series of any-to-any models developed by Ant Ling team.

inclusionAI/Ming-flash-omni-2.0

Any-to-Any • 104B • Updated Feb 12 • 4.44k • 274
inclusionAI/Ming-omni-tts-16.8B-A3B

Text-to-Speech • 18B • Updated Jun 15 • 84 • 54
inclusionAI/Ming-omni-tts-0.5B

Text-to-Speech • 2B • Updated Feb 25 • 20.7k • 39
inclusionAI/Ming-omni-tts-tokenizer-12Hz

Audio-to-Audio • 0.8B • Updated Feb 25 • 67 • 10

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

Paper • 2504.02821 • Published Apr 3, 2025 • 10
TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos

Paper • 2504.17343 • Published Apr 24, 2025 • 13
ViSMaP: Unsupervised Hour-long Video Summarisation by Meta-Prompting

Paper • 2504.15921 • Published Apr 22, 2025 • 7
Causal-Copilot: An Autonomous Causal Analysis Agent

Paper • 2504.13263 • Published Apr 17, 2025 • 7

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Paper • 2405.15223 • Published May 24, 2024 • 16
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 54
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 91
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27, 2024 • 35

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