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Robust Multimodal Learning via Cross-Modal Proxy Tokens

Imagine an AI designed to understand the world through multiple senses—like sight and hearing. It can identify a cat by both its picture (vision) and its “meow” (audio).

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Basin-wide groundwater level forecasting with Transfer Learning and LSTM

Groundwater is the lifeline of millions, but predicting its levels—especially over large areas—is very difficult. Traditional physically based models demand immense data and computational …

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Increase Your Research Visibility: How to Ensure Your Research Gets the Attention It Deserves

You have spent a few months, maybe even years, into your research. The late-night experiments, the endless cycle of writing and revising, the nail-biting wait for peer review.

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Robust Multimodal Learning via Cross-Modal Proxy Tokens

Imagine an AI designed to understand the world through multiple senses—like sight and hearing. It can identify a cat by both its picture (vision) and its “meow” (audio).

Read more

From Paper to Podium: How to Convert a LaTeX Project to a Presentation Using LLMs

Imagine this: you’ve just wrapped up a semester-long research project. Your LaTeX paper is polished, perfected, and submitted to a top-tier conference.

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U2A: Unified Unimodal Adaptation for Robust and Efficient Multimodal Learning

Imagine you are using an AI system that analyzes both images and text to classify food items. It works great—until suddenly, the text data is missing.

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Model, Analyze, and Comprehend User Interactions within a Social Media Platform

Social media has transformed how we communicate, but have you ever wondered what really happens beneath the surface? Who drives the discussions?

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