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Collections including paper arxiv:2410.07113

about 16 hours ago

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Paper • 2405.15223 • Published May 24, 2024 • 12
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 87
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27, 2024 • 31

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation

Paper • 2410.23090 • Published Oct 30, 2024 • 54
SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Paper • 2410.13276 • Published Oct 17, 2024 • 26
Personalized Visual Instruction Tuning

Paper • 2410.07113 • Published Oct 9, 2024 • 70
Differential Transformer

Paper • 2410.05258 • Published Oct 7, 2024 • 169

Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Paper • 2410.09335 • Published Oct 12, 2024 • 16
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning

Paper • 2410.06456 • Published Oct 9, 2024 • 36
Emergent properties with repeated examples

Paper • 2410.07041 • Published Oct 9, 2024 • 8
Personalized Visual Instruction Tuning

Paper • 2410.07113 • Published Oct 9, 2024 • 70

📑 Trending Papers - October 🔟

Differential Transformer

Paper • 2410.05258 • Published Oct 7, 2024 • 169
Baichuan-Omni Technical Report

Paper • 2410.08565 • Published Oct 11, 2024 • 85
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss

Paper • 2410.17243 • Published Oct 22, 2024 • 89
FrugalNeRF: Fast Convergence for Few-shot Novel View Synthesis without Learned Priors

Paper • 2410.16271 • Published Oct 21, 2024 • 81

Personalized Visual Instruction Tuning

Paper • 2410.07113 • Published Oct 9, 2024 • 70

Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection

Paper • 2409.08513 • Published Sep 13, 2024 • 12
Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale

Paper • 2409.08264 • Published Sep 12, 2024 • 44
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Paper • 2409.12191 • Published Sep 18, 2024 • 76
LLMs + Persona-Plug = Personalized LLMs

Paper • 2409.11901 • Published Sep 18, 2024 • 32

PDFTriage: Question Answering over Long, Structured Documents

Paper • 2309.08872 • Published Sep 16, 2023 • 53
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 77
Table-GPT: Table-tuned GPT for Diverse Table Tasks

Paper • 2310.09263 • Published Oct 13, 2023 • 39
Context-Aware Meta-Learning

Paper • 2310.10971 • Published Oct 17, 2023 • 16

Multimodal Dataset

SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers

Paper • 2407.09413 • Published Jul 12, 2024 • 10
MAVIS: Mathematical Visual Instruction Tuning

Paper • 2407.08739 • Published Jul 11, 2024 • 31
Kvasir-VQA: A Text-Image Pair GI Tract Dataset

Paper • 2409.01437 • Published Sep 2, 2024 • 71
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct

Paper • 2409.05840 • Published Sep 9, 2024 • 47

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Paper • 2401.18059 • Published Jan 31, 2024 • 36
Personalized Visual Instruction Tuning

Paper • 2410.07113 • Published Oct 9, 2024 • 70
Differential Transformer

Paper • 2410.05258 • Published Oct 7, 2024 • 169
What Matters in Transformers? Not All Attention is Needed

Paper • 2406.15786 • Published Jun 22, 2024 • 30

Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters

Paper • 2403.02677 • Published Mar 5, 2024 • 16
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Paper • 2403.03003 • Published Mar 5, 2024 • 9
InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding

Paper • 2403.01487 • Published Mar 3, 2024 • 14
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks

Paper • 2403.00522 • Published Mar 1, 2024 • 44

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