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Found 5 papers, 1 papers with code
Learning to Embed Multi-Modal Contexts for Situated Conversational Agents
The Situated Interactive Multi-Modal Conversations (SIMMC) 2. 0 aims to create virtual shopping assistants that can accept complex multi-modal inputs, i. e. visual appearances of objects and user utterances.
Ranked #2 on
Response Generation
on SIMMC2.0
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets
A critical component of the current generation of language models is preference alignment, which aims to precisely control the model's behavior to meet human needs and values.
Raw Produce Quality Detection with Shifted Window Self-Attention
Global food insecurity is expected to worsen in the coming decades with the accelerated rate of climate change and the rapidly increasing population.
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI
For this reason, data-centric approaches are crucial for the automation of machine learning operation pipeline.
Improving Neural Networks by Adopting Amplifying and Attenuating Neurons
The performance assessments of neural networks were conducted to verify that the amplifying and attenuating neurons enhance the performance of neural networks.
