NExT-GPT: Any-to-Any Multimodal LLM

NExT-GPT/NExT-GPT 11 Sep 2023

While recently Multimodal Large Language Models (MM-LLMs) have made exciting strides, they mostly fall prey to the limitation of only input-side multimodal understanding, without the ability to produce content in multiple modalities.

0.87 stars / hour

Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation

showlab/show-1 27 Sep 2023

In this paper, we are the first to propose a hybrid model, dubbed as Show-1, which marries pixel-based and latent-based VDMs for text-to-video generation.

Text-to-Video Generation Video Alignment +1

0.81 stars / hour

QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

yuhuixu1993/qa-lora 26 Sep 2023

Recently years have witnessed a rapid development of large language models (LLMs).


0.81 stars / hour

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

stanfordnlp/dspy 28 Dec 2022

Retrieval-augmented in-context learning has emerged as a powerful approach for addressing knowledge-intensive tasks using frozen language models (LM) and retrieval models (RM).

Language Modelling Question Answering +1

0.76 stars / hour

FreeU: Free Lunch in Diffusion U-Net

ChenyangSi/FreeU 20 Sep 2023

In this paper, we uncover the untapped potential of diffusion U-Net, which serves as a "free lunch" that substantially improves the generation quality on the fly.

Denoising Video Generation

0.70 stars / hour

What Makes Good In-Context Examples for GPT-$3$?

stanfordnlp/dsp 17 Jan 2021

Inspired by the recent success of leveraging a retrieval module to augment large-scale neural network models, we propose to retrieve examples that are semantically-similar to a test sample to formulate its corresponding prompt.

Few-Shot Learning Natural Language Understanding +3

0.64 stars / hour

ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs

dinobby/reconcile 22 Sep 2023

We also experiment with GPT-4 itself as one of the agents in ReConcile and demonstrate that its initial performance also improves by absolute 10. 0% through discussion and feedback from other agents.

0.63 stars / hour

Agents: An Open-source Framework for Autonomous Language Agents

aiwaves-cn/agents 14 Sep 2023

Recent advances on large language models (LLMs) enable researchers and developers to build autonomous language agents that can automatically solve various tasks and interact with environments, humans, and other agents using natural language interfaces.

0.56 stars / hour

NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions

oppo-us-research/NeuRBF ICCV 2023

The spatial positions of their neural features are fixed on grid nodes and cannot well adapt to target signals.

0.53 stars / hour