Reading list for Multimodal Large Language Models

MIntRec2.0 is the first large-scale dataset for multimodal intent recognition and out-of-scope detection in multi-party conversations (ICLR 2024)

Multimodal datasets for Machine-Learning

This repository contains the code, dataset, and model outputs for the ICMI 2024 paper Multimodal User Enjoyment Detection in Human-Robot Conversation: The Power of Large Language Models. It includes scripts for prompting LLMs, training supervised models, and evaluating multimodal enjoyment detection.

This repository is cloned from https://github.com/HLR/LatentAlignmentProcedural. This is a potential baseline explored for the textual_cloze task on the RecipeQA Dataset - https://hucvl.github.io/recipeqa/