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Item-Language Model for Conversational Recommendation
Paper • 2406.02844 • Published • 13 -
Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation
Paper • 2412.18176 • Published • 16 -
hkuds/RecGPT_model
Updated • 4 -
hkuds/easyrec-roberta-base
Updated • 98 • 3
Marcus Gawronsky
marcusinthesky
AI & ML interests
Representation Learning
Recent Activity
updated a dataset about 2 hours ago
marcusinthesky/imaterialist-fashion-2020 published a dataset about 2 hours ago
marcusinthesky/imaterialist-fashion-2020 liked a model 3 days ago
sapientinc/HRM-Text-1BOrganizations
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MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
Paper • 2410.10139 • Published • 51 -
MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks
Paper • 2410.10563 • Published • 37 -
LiveXiv -- A Multi-Modal Live Benchmark Based on Arxiv Papers Content
Paper • 2410.10783 • Published • 26 -
TVBench: Redesigning Video-Language Evaluation
Paper • 2410.07752 • Published • 6
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Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference
Paper • 2403.14520 • Published • 35 -
ZigMa: Zigzag Mamba Diffusion Model
Paper • 2403.13802 • Published • 18 -
SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series
Paper • 2403.15360 • Published • 13 -
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection
Paper • 2403.19888 • Published • 12
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Simple Open-Vocabulary Object Detection with Vision Transformers
Paper • 2205.06230 • Published • 4 -
google/owlvit-base-patch32
Zero-Shot Object Detection • 0.2B • Updated • 132k • 148 -
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers
Paper • 2305.07011 • Published • 6 -
Multi-Modal Classifiers for Open-Vocabulary Object Detection
Paper • 2306.05493 • Published • 6
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MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
Paper • 2403.19651 • Published • 26 -
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Paper • 2404.04125 • Published • 29 -
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies
Paper • 2404.08197 • Published • 29 -
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Paper • 2403.20327 • Published • 47
-
Item-Language Model for Conversational Recommendation
Paper • 2406.02844 • Published • 13 -
Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation
Paper • 2412.18176 • Published • 16 -
hkuds/RecGPT_model
Updated • 4 -
hkuds/easyrec-roberta-base
Updated • 98 • 3
-
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
Paper • 2410.10139 • Published • 51 -
MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks
Paper • 2410.10563 • Published • 37 -
LiveXiv -- A Multi-Modal Live Benchmark Based on Arxiv Papers Content
Paper • 2410.10783 • Published • 26 -
TVBench: Redesigning Video-Language Evaluation
Paper • 2410.07752 • Published • 6
-
Simple Open-Vocabulary Object Detection with Vision Transformers
Paper • 2205.06230 • Published • 4 -
google/owlvit-base-patch32
Zero-Shot Object Detection • 0.2B • Updated • 132k • 148 -
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers
Paper • 2305.07011 • Published • 6 -
Multi-Modal Classifiers for Open-Vocabulary Object Detection
Paper • 2306.05493 • Published • 6
-
Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference
Paper • 2403.14520 • Published • 35 -
ZigMa: Zigzag Mamba Diffusion Model
Paper • 2403.13802 • Published • 18 -
SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series
Paper • 2403.15360 • Published • 13 -
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection
Paper • 2403.19888 • Published • 12
-
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
Paper • 2403.19651 • Published • 26 -
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Paper • 2404.04125 • Published • 29 -
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies
Paper • 2404.08197 • Published • 29 -
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Paper • 2403.20327 • Published • 47