Deep Cognition and Language Research (DeCLaRe) Lab

This repo contains implementation of different architectures for emotion recognition in conversations.

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.

JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment

This repository is maintained to release dataset and models for multimodal puzzle reasoning.

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

This repository contains the official implementation code of the paper Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis, accepted at EMNLP 2021.

This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment

A family of diffusion models for text-to-audio generation.

The official repo of the paper: $delta$-mem: Efficient Online Memory for Large Language Models