| Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling |
1 |
2 |
29 Jan 2025 |
not harvested |
| Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding |
1 |
1 |
14 Jan 2025 |
not harvested |
| Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition |
1 |
4 |
12 Dec 2024 |
ran 3 of 19 samples (16 unverified) |
| ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models |
1 |
2 |
9 Dec 2024 |
ran 0 of 15 samples (15 unverified) |
| ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance |
0 |
1 |
9 Dec 2024 |
not harvested |
| TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action |
1 |
3 |
7 Dec 2024 |
not harvested |
| MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale |
1 |
2 |
6 Dec 2024 |
not harvested |
| LinVT: Empower Your Image-level Large Language Model to Understand Videos |
1 |
1 |
6 Dec 2024 |
ran 4 of 12 samples (8 unverified; 12 pointer-only for licence) |
| Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling |
1 |
7 |
6 Dec 2024 |
ran 1 of 9 samples (8 unverified) |
| VisionZip: Longer is Better but Not Necessary in Vision Language Models |
1 |
6 |
5 Dec 2024 |
ran 1 of 11 samples (10 unverified) |
| FlashSloth: Lightning Multimodal Large Language Models via Embedded Visual Compression |
1 |
2 |
5 Dec 2024 |
ran 7 of 7 samples (0 unverified; 7 pointer-only for licence) |
| A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs |
1 |
3 |
4 Dec 2024 |
ran 4 of 5 samples (1 unverified; 5 pointer-only for licence) |
| Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification |
1 |
2 |
1 Dec 2024 |
ran 13 of 18 samples (5 unverified) |
| Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance |
0 |
2 |
21 Nov 2024 |
not harvested |
| FocusLLaVA: A Coarse-to-Fine Approach for Efficient and Effective Visual Token Compression |
0 |
1 |
21 Nov 2024 |
not harvested |
| JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation |
1 |
1 |
12 Nov 2024 |
not harvested |
| Aligned Vector Quantization for Edge-Cloud Collabrative Vision-Language Models |
0 |
1 |
8 Nov 2024 |
not harvested |
| Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation |
1 |
1 |
17 Oct 2024 |
not harvested |
| Improving Multi-modal Large Language Model through Boosting Vision Capabilities |
0 |
1 |
17 Oct 2024 |
not harvested |
| H2OVL-Mississippi Vision Language Models Technical Report |
0 |
2 |
17 Oct 2024 |
not harvested |
| $γ-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models |
0 |
1 |
17 Oct 2024 |
not harvested |
| Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models |
0 |
1 |
16 Oct 2024 |
not harvested |
| MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding |
1 |
1 |
15 Oct 2024 |
not harvested |
| MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling |
0 |
2 |
14 Oct 2024 |
not harvested |
| VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment |
0 |
4 |
12 Oct 2024 |
ran 5 of 7 samples (2 unverified) |
| Baichuan-Omni Technical Report |
2 |
1 |
11 Oct 2024 |
not harvested |
| Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training |
0 |
1 |
10 Oct 2024 |
not harvested |
| Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate |
1 |
2 |
9 Oct 2024 |
ran 12 of 12 samples (0 unverified) |
| Gamified crowd-sourcing of high-quality data for visual fine-tuning |
0 |
3 |
5 Oct 2024 |
not harvested |
| MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning |
0 |
6 |
30 Sep 2024 |
not harvested |