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@declare-lab

Deep Cognition and Language Research (DeCLaRe) Lab

README.md

Hi! 👋👋

Welcome fellow researchers to the DeCLaRe Lab! We hereby DeCLaRe our quest to breathe cognitive and language skills of human-like depth into machines by solving challenging NLP problems, such as dialogue comprehension and generation, commonsense reasoning, multimodal understanding, and more. Addressing such open research problems requires powerful, scalable, and data-hungry algorithms. As such, we develop cutting-edge neural models, based on sound linguistic concepts. To know more about our work, please browse our catalog of publications.

And here is our Team Declare! 😃

Pinned

  1. conv-emotion conv-emotion Public

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

    Python 1.3k 319

  2. MELD MELD Public

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

    Python 746 195

  3. RelationPrompt RelationPrompt Public

    This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot Relati…

    Python 121 16

  4. tango tango Public

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

    Python 917 71

  5. instruct-eval instruct-eval Public

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

    Python 467 37

  6. LLM-PuzzleTest LLM-PuzzleTest Public

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

    Python 25 1

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