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.
Deep Cognition and Language Research (DeCLaRe) Lab
- 221 followers
- Singapore University of Technology and Design
- https://declare-lab.github.io
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- RobustMIFT Public
[Arxiv 2024] Official Implementation of the paper: "Towards Robust Instruction Tuning on Multimodal Large Language Models"
declare-lab/RobustMIFT’s past year of commit activity - safety-arithmetic Public
declare-lab/safety-arithmetic’s past year of commit activity - declare-lab.github.io Public
declare-lab/declare-lab.github.io’s past year of commit activity - llm_robustness Public
declare-lab/llm_robustness’s past year of commit activity - MM-InstructEval Public
This repository contains code to evaluate various multimodal large language models using different instructions across multiple multimodal content comprehension tasks.
declare-lab/MM-InstructEval’s past year of commit activity - LLM-PuzzleTest Public
This repository is maintained to release dataset and models for multimodal puzzle reasoning.
declare-lab/LLM-PuzzleTest’s past year of commit activity
