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Collections including paper arxiv:2410.11779

Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models

Paper • 2411.14257 • Published Nov 21, 2024 • 14
Distinguishing Ignorance from Error in LLM Hallucinations

Paper • 2410.22071 • Published Oct 29, 2024
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations

Paper • 2410.18860 • Published Oct 24, 2024 • 11
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Paper • 2410.11779 • Published Oct 15, 2024 • 26

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Paper • 2408.10188 • Published Aug 19, 2024 • 52
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16, 2024 • 101
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 133
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22, 2024 • 51

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 30
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 15
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Multimodal papers

MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Paper • 2410.11779 • Published Oct 15, 2024 • 26
LLaVA-o1: Let Vision Language Models Reason Step-by-Step

Paper • 2411.10440 • Published Nov 15, 2024 • 129

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8, 2024 • 64
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Paper • 2410.11779 • Published Oct 15, 2024 • 26
What Matters in Transformers? Not All Attention is Needed

Paper • 2406.15786 • Published Jun 22, 2024 • 33
Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention

Paper • 2410.10774 • Published Oct 14, 2024 • 25

DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 191
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training

Paper • 2401.00849 • Published Jan 1, 2024 • 17
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

Paper • 2311.05437 • Published Nov 9, 2023 • 51
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing

Paper • 2311.00571 • Published Nov 1, 2023 • 42

Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models

Paper • 2411.14257 • Published Nov 21, 2024 • 14
Distinguishing Ignorance from Error in LLM Hallucinations

Paper • 2410.22071 • Published Oct 29, 2024
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations

Paper • 2410.18860 • Published Oct 24, 2024 • 11
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Paper • 2410.11779 • Published Oct 15, 2024 • 26

Multimodal papers

MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Paper • 2410.11779 • Published Oct 15, 2024 • 26
LLaVA-o1: Let Vision Language Models Reason Step-by-Step

Paper • 2411.10440 • Published Nov 15, 2024 • 129

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Paper • 2408.10188 • Published Aug 19, 2024 • 52
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16, 2024 • 101
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 133
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22, 2024 • 51

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8, 2024 • 64
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Paper • 2410.11779 • Published Oct 15, 2024 • 26
What Matters in Transformers? Not All Attention is Needed

Paper • 2406.15786 • Published Jun 22, 2024 • 33
Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention

Paper • 2410.10774 • Published Oct 14, 2024 • 25

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 30
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 15
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 191
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training

Paper • 2401.00849 • Published Jan 1, 2024 • 17
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

Paper • 2311.05437 • Published Nov 9, 2023 • 51
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing

Paper • 2311.00571 • Published Nov 1, 2023 • 42

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