Collections

2

GAIA: a benchmark for General AI Assistants

Paper • 2311.12983 • Published Nov 21, 2023 • 192
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Paper • 2311.16502 • Published Nov 27, 2023 • 35
BLINK: Multimodal Large Language Models Can See but Not Perceive

Paper • 2404.12390 • Published Apr 18, 2024 • 26
RULER: What's the Real Context Size of Your Long-Context Language Models?

Paper • 2404.06654 • Published Apr 9, 2024 • 35

GAIA: a benchmark for General AI Assistants

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

BLINK: Multimodal Large Language Models Can See but Not Perceive

RULER: What's the Real Context Size of Your Long-Context Language Models?

LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs

Multimodal LLMs Can Reason about Aesthetics in Zero-Shot

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Transformer^2: Self-adaptive LLMs

Multimodal LLMs Can Reason about Aesthetics in Zero-Shot

FAST: Efficient Action Tokenization for Vision-Language-Action Models

2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

REDUCIO! Generating 1024times1024 Video within 16 Seconds using Extremely Compressed Motion Latents

WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning

Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models

Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level

StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization

Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models

From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models

EuroLLM: Multilingual Language Models for Europe

Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model

LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

BLINK: Multimodal Large Language Models Can See but Not Perceive

TextSquare: Scaling up Text-Centric Visual Instruction Tuning

Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models

InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

PALO: A Polyglot Large Multimodal Model for 5B People

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

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

COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training

LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing