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
- 290 followers
- Singapore University of Technology and Design
- https://declare-lab.github.io
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- 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 - trust-align Public
Codes and datasets for the paper Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
declare-lab/trust-align’s past year of commit activity - declare-lab.github.io Public
declare-lab/declare-lab.github.io’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 - safety-arithmetic Public
declare-lab/safety-arithmetic’s past year of commit activity
