Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

Official repository of "HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning", Findings of EMNLP 2023

Late Interaction Models Training & Retrieval

a gaggle of deep neural architectures for text ranking and question answering, designed for Pyserini

A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).

A curated list of resources for Cross-lingual Information Retrieval (CLIR).

Code for the paper "Adapt - $\infty$: Scalable Lifelong Multimodal Instruction Tuning"

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Qwen2.5-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

A Framework of Small-scale Large Multimodal Models

MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities (ICML 2024)

Using sparse coding to find distributed representations used by neural networks.

Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]

OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

A game theoretic approach to explain the output of any machine learning model.

This is the official implementation of the paper "MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks"

State-of-the-Art Text Embeddings