Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering
Please cite this work with the following BibTeX: @inproceedings{cocchi2024augmenting, title={{Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering}}, ...
Abstract: Knowledge graph is a form of data representation that uses graph structure to model the connections between things. The intention of knowledge graph is to optimize the results returned by ...
We introduce a learning-guided motion planning framework that generates seedtrajectories using a diffusion model for trajectory optimization. Given aworkspace, our method approximates the ...
2026 will be a transformative year for manufacturing as artificial intelligence technologies mature from experimental tools to essential operational components. According to Configit's executive team, ...
State Key Laboratory of Quantum Optics Technologies and Devices, Institute of Laser Spectroscopy, Shanxi University, 92 Wucheng Road, Taiyuan 030006, China Collaborative Innovation Center of Extreme ...
Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...
This study presents a systematic evaluation of five reasoning-enhanced Large Language Models (LLMs)─Deepseek-R1–0528, OpenAI-o4 mini, Gemini-2.5-pro, doubao-seed-1.6-thinking, and ...
Forbes contributors publish independent expert analyses and insights. Aytekin Tank is the founder and CEO of Jotform. There’s a common issue with generative AI. I’ll explain with an example from a ...
As Netflix's gripping four-part British miniseries Adolescence climbs to the top of the streaming platform's global charts, it has drawn widespread attention for its raw portrayal of teenage violence ...
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