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Collections including paper arxiv:2312.16862

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 55
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 17
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 7
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 14

The Evolution of Multimodal Model Architectures

Paper • 2405.17927 • Published May 28, 2024 • 1
What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 102
Efficient Architectures for High Resolution Vision-Language Models

Paper • 2501.02584 • Published Jan 5
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 126

Exploring the Potential of Encoder-free Architectures in 3D LMMs

Paper • 2502.09620 • Published 28 days ago • 25
The Evolution of Multimodal Model Architectures

Paper • 2405.17927 • Published May 28, 2024 • 1
What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 102
Efficient Architectures for High Resolution Vision-Language Models

Paper • 2501.02584 • Published Jan 5

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

Paper • 2501.00958 • Published Jan 1 • 100
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Paper • 2501.01257 • Published Jan 2 • 50
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Paper • 2501.01423 • Published Jan 2 • 37
REDUCIO! Generating 1024times1024 Video within 16 Seconds using Extremely Compressed Motion Latents

Paper • 2411.13552 • Published Nov 20, 2024

locally runnable

TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones

Paper • 2312.16862 • Published Dec 28, 2023 • 31

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 147
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 30
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16, 2024 • 23
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 69

aMUSEd: An Open MUSE Reproduction

Paper • 2401.01808 • Published Jan 3, 2024 • 29
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations

Paper • 2401.01885 • Published Jan 3, 2024 • 28
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity

Paper • 2401.00604 • Published Dec 31, 2023 • 6
LARP: Language-Agent Role Play for Open-World Games

Paper • 2312.17653 • Published Dec 24, 2023 • 32

TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones

Paper • 2312.16862 • Published Dec 28, 2023 • 31
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action

Paper • 2312.17172 • Published Dec 28, 2023 • 28
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers

Paper • 2401.01974 • Published Jan 3, 2024 • 7
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations

Paper • 2401.01885 • Published Jan 3, 2024 • 28

Multimodel Models

TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones

Paper • 2312.16862 • Published Dec 28, 2023 • 31

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Paper • 2312.15166 • Published Dec 23, 2023 • 58
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

Paper • 2312.12456 • Published Dec 16, 2023 • 42
Cached Transformers: Improving Transformers with Differentiable Memory Cache

Paper • 2312.12742 • Published Dec 20, 2023 • 14
Mini-GPTs: Efficient Large Language Models through Contextual Pruning

Paper • 2312.12682 • Published Dec 20, 2023 • 10

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