Collections

36

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 83
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 146
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

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LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Paper • 2408.10188 • Published Aug 19, 2024 • 51
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16, 2024 • 98
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 125
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22, 2024 • 51

Can Large Language Models Understand Context?

OLMo: Accelerating the Science of Language Models

Self-Rewarding Language Models

SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Building and better understanding vision-language models: insights and future directions

Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models

INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision Transformers

Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters

Arcee's MergeKit: A Toolkit for Merging Large Language Models

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Goldfish: Vision-Language Understanding of Arbitrarily Long Videos

SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Understanding Alignment in Multimodal LLMs: A Comprehensive Study

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Building and better understanding vision-language models: insights and future directions

RLHF Workflow: From Reward Modeling to Online RLHF

Chameleon: Mixed-Modal Early-Fusion Foundation Models

Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

An Introduction to Vision-Language Modeling

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

An Introduction to Vision-Language Modeling

Matryoshka Multimodal 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

MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs

Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

FuseChat: Knowledge Fusion of Chat Models

Multi-LoRA Composition for Image Generation