Jiachen-T-Wang
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- ▌ Sigmoid Loss For Language Image Pre Training Arxiv 2303 1534 · jiachen-t-wangSigmoid Loss for Language Image Pre-Training
- ▌ Synthtext Synthetic Data For Text Detection Arxiv 1604 06646 · jiachen-t-wangSynthText: Synthetic Data for Text Detection
- ▌ Coyo 700m Image Text Pair Dataset Github Kakaobrain Coyo 700 · jiachen-t-wangCOYO-700M: Image-Text Pair Dataset
- ▌ Data Centric Artificial Intelligence A Survey Arxiv 2303 101 · jiachen-t-wangData-Centric Artificial Intelligence: A Survey
- ▌ Scaling Instruction Finetuned Language Models Arxiv 2210 114 · jiachen-t-wangScaling Instruction-Finetuned Language Models
- ▌ Scaling Vision With Sparse Mixture Of Experts Arxiv 2106 059 · jiachen-t-wangScaling Vision with Sparse Mixture of Experts
- ▌ Glamm Pixel Grounding Large Multimodal Model Arxiv 2311 0335 · jiachen-t-wangGLaMM: Pixel Grounding Large Multimodal Model
- ▌ Docvqa A Dataset For Vqa On Document Images Arxiv 2007 00398 · jiachen-t-wangDocVQA: A Dataset for VQA on Document Images
- ▌ Emu Generative Pretraining In Multimodality Arxiv 2307 05222 · jiachen-t-wangEmu: Generative Pretraining in Multimodality
- ▌ Sa 1b Segment Anything 1 Billion Masks Dataset Arxiv Sa1b 20 · jiachen-t-wangSA-1B: Segment Anything 1 Billion Masks Dataset
- ▌ Webvid 10m A Large Scale Video Text Dataset Arxiv 2104 00650 · jiachen-t-wangWebVid-10M: A Large-Scale Video-Text Dataset
- ▌ Multimodal Learning With Transformers A Survey Arxiv 2206 06 · jiachen-t-wangMultimodal Learning with Transformers: A Survey
- ▌ Openclip An Open Source Implementation Of Clip Arxiv 2212 07 · jiachen-t-wangOpenCLIP: An Open Source Implementation of CLIP
- ▌ Hard Negative Mixing For Contrastive Learning Arxiv 2010 010 · jiachen-t-wangHard Negative Mixing for Contrastive Learning
- ▌ Coco Microsoft Coco Common Objects In Context Arxiv 1405 031 · jiachen-t-wangCOCO: Microsoft COCO: Common Objects in Context
- ▌ Open Vocabulary Object Detection Using Captions Arxiv 2011 1 · jiachen-t-wangOpen-Vocabulary Object Detection Using Captions
- ▌ Vila On Pre Training For Visual Language Models Arxiv 2312 0 · jiachen-t-wangVILA: On Pre-training for Visual Language Models
- ▌ Training Compute Optimal Large Language Models Arxiv 2203 15 · jiachen-t-wangTraining Compute-Optimal Large Language Models
- ▌ Capsfusion Rethinking Image Text Data At Scale Arxiv 2310 20 · jiachen-t-wangCapsFusion: Rethinking Image-Text Data at Scale
- ▌ Dolphins Multimodal Language Model For Driving Arxiv 2312 00 · jiachen-t-wangDolphins: Multimodal Language Model for Driving
- ▌ Masked Autoencoders Are Scalable Vision Learners Arxiv 2111 · jiachen-t-wangMasked Autoencoders Are Scalable Vision Learners
- ▌ 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
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- ▌ Pali 3 Smaller Faster Stronger Arxiv 2310 09199v2 · jiachen-t-wangPaLI-3: Smaller, Faster, Stronger
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- ▌ Lima Less Is More For Alignment Arxiv 2305 11206v1 · jiachen-t-wangLIMA: Less Is More for Alignment
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- ▌ Dclm Datacomp For Language Models Arxiv 2406 11794v3 · jiachen-t-wangDCLM: DataComp for Language Models
- ▌ Nemotron 4 340b Technical Report Arxiv 2406 11704v1 · jiachen-t-wangNemotron-4 340B Technical Report
- ▌ Phi 1 Textbooks Are All You Need Arxiv 2306 11644v2 · jiachen-t-wangPhi-1: Textbooks Are All You Need
- ▌ Llama 3 The Llama 3 Herd Of Models Arxiv 2407 21783v2 · jiachen-t-wangLlama 3: The Llama 3 Herd of Models
- ▌ Matryoshka Representation Learning Arxiv 2205 13147v4 · jiachen-t-wangMatryoshka Representation Learning
- ▌ El2n Deep Learning On A Data Diet Arxiv 2107 07075v2 · jiachen-t-wangEL2N: Deep Learning on a Data Diet
- ▌ Vqav2 Making The V In Vqa Matter Arxiv 1612 00837v3 · jiachen-t-wangVQAv2: Making the V in VQA Matter
- ▌ Snli Ve Visual Entailment Dataset Arxiv 1901 06706v1 · jiachen-t-wangSNLI-VE: Visual Entailment Dataset
- ▌ Influence Functions In Deep Learning Arxiv 2002 08484v3 · jiachen-t-wangInfluence Functions in Deep Learning
- ▌ Phi 15 Textbooks Are All You Need Ii Arxiv 2309 05463v2 · jiachen-t-wangPhi-1.5: Textbooks Are All You Need II
- ▌ Asr Whisper For Video Transcription Arxiv 2212 04356v1 · jiachen-t-wangASR: Whisper for Video Transcription
- ▌ Dinov2 For Dense Prediction Tasks Arxiv Dinov2 Dense 2024 · jiachen-t-wangDINOv2 for Dense Prediction Tasks
- ▌ Imagenet 21k Pretraining For The Masses Arxiv 2104 10972v4 · jiachen-t-wangImageNet-21K Pretraining for the Masses
- ▌ Pixtral 12b A Frontier Multimodal Model Arxiv Pixtral 2024 · jiachen-t-wangPixtral 12B: A Frontier Multimodal Model
- ▌ Scaling Laws For Neural Language Models Arxiv 2001 08361v1 · jiachen-t-wangScaling Laws for Neural Language Models
- ▌ Glip Grounded Language Image Pre Training Arxiv 2112 03857v2 · jiachen-t-wangGLIP: Grounded Language-Image Pre-training
- ▌ Llava Onevision Easy Visual Task Transfer Arxiv 2408 03326v2 · jiachen-t-wangLLaVA-OneVision: Easy Visual Task Transfer
- ▌ Deita What Makes Good Data For Alignment Arxiv 2312 15685v2 · jiachen-t-wangDeita: What Makes Good Data for Alignment
- ▌ Scaling Data Constrained Language Models Arxiv 2305 16264v3 · jiachen-t-wangScaling Data-Constrained Language Models
- ▌ Trak Attributing Model Behavior At Scale Arxiv 2303 14186v2 · jiachen-t-wangTRAK: Attributing Model Behavior at Scale
- ▌ Mixup Beyond Empirical Risk Minimization Arxiv 1710 09412v2 · jiachen-t-wangMixup: Beyond Empirical Risk Minimization
- ▌ Towards Open World Segmentation Of Parts Arxiv 2305 06914v3 · jiachen-t-wangTowards Open-World Segmentation of Parts
- ▌ Nocaps Novel Object Captioning At Scale Arxiv 1812 08658v2 · jiachen-t-wangNocaps: Novel Object Captioning at Scale
- ▌ Idefics2 An 8b Parameters Multimodal Model Arxiv 2405 02246v · jiachen-t-wangIdefics2: An 8B Parameters Multimodal Model
- ▌ Dall E Zero Shot Text To Image Generation Arxiv 2102 12092v2 · jiachen-t-wangDALL-E: Zero-Shot Text-to-Image Generation
- ▌ Segment Everything Everywhere All At Once Arxiv 2304 06718v2 · jiachen-t-wangSegment Everything Everywhere All at Once
- ▌ Svit Scaling Up Visual Instruction Tuning Arxiv 2307 04087v2 · jiachen-t-wangSVIT: Scaling up Visual Instruction Tuning
- ▌ Grit General Robust Image Task Benchmark Arxiv 2306 14818v2 · jiachen-t-wangGrit: General Robust Image Task Benchmark
- ▌ Minicpm V A Gpt 4v Level Mllm On Your Phone Arxiv 2408 01800 · jiachen-t-wangMiniCPM-V: A GPT-4V Level MLLM on Your Phone