This tutorial provides an in-depth overview of recent advances in AI-assisted tools and models that support and enhance the scientific research process, spanning literature discovery, idea generation, multimodal content understanding and generation, text/table generation, and AI-supported peer review.

This tutorial bridges psychology and NLP to clarify cognitive effects and biases in large language models, compares methodological assumptions across disciplines, and discusses practical evaluation challenges and open research directions.

This tutorial introduces brain-language model alignment and recent advances in scaling, multilingual brain encoding, brain-informed fine-tuning, and brain decoding with language models, including semantic reconstruction from brain data.

This tutorial presents foundations, agentic capabilities, and inclusive applications of multimodal large language models, covering architectures, multimodal alignment and reasoning, conversational GUI agents, accessibility, multilingual communication, and responsible deployment.