Curation Bench
Curation Bench from Jiachen-T-Wang/curation-bench-pro.
Skills in this plugin
99- ▌ Multimodal Neurons In Artificial Neural Networks Arxiv 2103 · jiachen-t-wangMultimodal Neurons in Artificial Neural Networks
- ▌ Cogagent A Visual Language Model For Gui Agents Arxiv 2312 0 · jiachen-t-wangCogAgent: A Visual Language Model for GUI Agents
- ▌ Textvqa Towards Reasoning About Text In Images Arxiv 1904 08 · jiachen-t-wangTextVQA: Towards Reasoning about Text in Images
- ▌ Improved Baselines With Visual Instruction Tuning Arxiv 2310 · jiachen-t-wangImproved Baselines with Visual Instruction Tuning
- ▌ Lora Low Rank Adaptation Of Large Language Models Arxiv 2106 · jiachen-t-wangLoRA: Low-Rank Adaptation of Large Language Models
- ▌ Copy Paste Augmentation For Instance Segmentation Arxiv 2012 · jiachen-t-wangCopy-Paste Augmentation for Instance Segmentation
- ▌ Mantis Interleaved Multi Image Instruction Tuning Arxiv 2405 · jiachen-t-wangMantis: Interleaved Multi-Image Instruction Tuning
- ▌ Mosaic Augmentation For Detection And Segmentation Arxiv Yol · jiachen-t-wangMosaic Augmentation for Detection and Segmentation
- ▌ Kinetics 400 A Large Video Understanding Dataset Arxiv 1705 · jiachen-t-wangKinetics-400: A Large Video Understanding Dataset
- ▌ Cogvlm Visual Expert For Pretrained Language Models Arxiv 23 · jiachen-t-wangCogVLM: Visual Expert for Pretrained Language Models
- ▌ Dataperf Benchmarks For Data Centric AI Development Arxiv 22 · jiachen-t-wangDataPerf: Benchmarks for Data-Centric AI Development
- ▌ Gemini A Family Of Highly Capable Multimodal Models Arxiv 23 · jiachen-t-wangGemini: A Family of Highly Capable Multimodal Models
- ▌ Chameleon Mixed Modal Early Fusion Foundation Models Arxiv 2 · jiachen-t-wangChameleon: Mixed-Modal Early-Fusion Foundation Models
- ▌ Longva Long Context Transfer From Language To Vision Arxiv 2 · jiachen-t-wangLongVA: Long Context Transfer from Language to Vision
- ▌ Scaling Vision Transformers To 22 Billion Parameters Arxiv 2 · jiachen-t-wangScaling Vision Transformers to 22 Billion Parameters
- ▌ Llava Critic Learning To Evaluate Multimodal Models Arxiv 24 · jiachen-t-wangLLaVA-Critic: Learning to Evaluate Multimodal Models
- ▌ Llava Next Improved Reasoning Ocr And World Knowledge Arxiv · jiachen-t-wangLLaVA-NeXT: Improved Reasoning, OCR, and World Knowledge
- ▌ Refinedweb A Falcons Recipe For High Quality Web Data Arxiv · jiachen-t-wangRefinedWeb: A Falcon's Recipe for High-Quality Web Data
- ▌ Donut Document Understanding Transformer Without Ocr Arxiv 2 · jiachen-t-wangDonut: Document Understanding Transformer without OCR
- ▌ Drivelm Driving With Graph Visual Question Answering Arxiv 2 · jiachen-t-wangDriveLM: Driving with Graph Visual Question Answering
- ▌ Lisa Reasoning Segmentation Via Large Language Model Arxiv 2 · jiachen-t-wangLISA: Reasoning Segmentation via Large Language Model
- ▌ Probing Multimodal Llms As World Models For Driving Arxiv 24 · jiachen-t-wangProbing Multimodal LLMs as World Models for Driving
- ▌ Laclip Improving Clip Training With Language Rewrites Arxiv · jiachen-t-wangLaCLIP: Improving CLIP Training with Language Rewrites
- ▌ Nuscenes A Multimodal Dataset For Autonomous Driving Arxiv 1 · jiachen-t-wangnuScenes: A Multimodal Dataset for Autonomous Driving
- ▌ Eva Clip Improved Training Techniques For Clip At Scale Arxi · jiachen-t-wangEVA-CLIP: Improved Training Techniques for CLIP at Scale
- ▌ Label Noise Sgd Provably Prefers Flat Global Minimizers Arxi · jiachen-t-wangLabel Noise SGD Provably Prefers Flat Global Minimizers
- ▌ Autoaugment Learning Augmentation Strategies From Data Arxiv · jiachen-t-wangAutoAugment: Learning Augmentation Strategies from Data
- ▌ Deduplicating Training Data Makes Language Models Better Arx · jiachen-t-wangDeduplicating Training Data Makes Language Models Better
- ▌ Dreamlip Language Image Pre Training With Long Captions Arxi · jiachen-t-wangDreamLIP: Language-Image Pre-training with Long Captions
- ▌ Flamingo A Visual Language Model For Few Shot Learning Arxiv · jiachen-t-wangFlamingo: A Visual Language Model for Few-Shot Learning
- ▌ Imagenet A Large Scale Hierarchical Image Database Crossref · jiachen-t-wangImageNet: A Large-Scale Hierarchical Image Database
- ▌ Mmbench Is Your Multi Modal Model An All Around Player Arxiv · jiachen-t-wangMMBench: Is Your Multi-modal Model an All-around Player?
- ▌ No Robots A Dataset Of Personally Written Instructions Arxiv · jiachen-t-wangNo Robots: A Dataset of Personally Written Instructions
- ▌ Emu2 Generative Multimodal Models Are In Context Learners Ar · jiachen-t-wangEmu2: Generative Multimodal Models are In-Context Learners
- ▌ 3d LLM Injecting The 3d World Into Large Language Models Arx · jiachen-t-wang3D-LLM: Injecting the 3D World into Large Language Models
- ▌ Alpaca A Strong Replicable Instruction Following Model Stanf · jiachen-t-wangAlpaca: A Strong, Replicable Instruction-Following Model
- ▌ Dall E 3 Improving Image Generation With Better Captions Arx · jiachen-t-wangDALL-E 3: Improving Image Generation with Better Captions
- ▌ Multimodal Few Shot Learning With Frozen Language Models Arx · jiachen-t-wangMultimodal Few-Shot Learning with Frozen Language Models
- ▌ Nlvr2 A Visual Reasoning Benchmark For Natural Language Arxi · jiachen-t-wangNLVR2: A Visual Reasoning Benchmark for Natural Language