Featured Post

MSP: Modality Self-Play for Training Multimodal LLMs Without Paired Cross-Modal Data

MSP: Modality Self-Play for Training Multimodal LLMs Without Paired Cross-Modal Data

Think about how you understand a video of a dog barking in a park. Your eyes see the dog, your ears hear the bark, and your brain effortlessly puts the two together.

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SSAM: Singular Subspace Alignment for Merging Multimodal Large Language Models

SSAM: Singular Subspace Alignment for Merging Multimodal Large Language Models

  • August 15, 2026
Robust Multimodal Learning via Cross-Modal Proxy Tokens

Robust Multimodal Learning via Cross-Modal Proxy Tokens

  • October 24, 2025
MMP: Towards Robust Multi-Modal Learning with Masked Modality Projection

MMP: Towards Robust Multi-Modal Learning with Masked Modality Projection

  • October 23, 2025
Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation

Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation

  • October 10, 2024
MMSFormer: Multimodal Transformer for Material and Semantic Segmentation

MMSFormer: Multimodal Transformer for Material and Semantic Segmentation

  • April 18, 2024

Recent Post

MMP: Towards Robust Multi-Modal Learning with Masked Modality Projection

MMP: Towards Robust Multi-Modal Learning with Masked Modality Projection

In real-world applications, input modalities might be missing due to factors like sensor malfunctions or data constraints. Our recent paper addresses this challenge with a method called …

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Basin-wide groundwater level forecasting with Transfer Learning and LSTM

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

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

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

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

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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