4 papers
A Survey on Bridging EEG Signals and Generative AI: From Image and Text to Beyond
Shreya Shukla, Jose Torres, Akshaj Murhekar +4
Decoding neural activity into human-interpretable representations is a key research direction in brain-computer interfaces (BCIs) and computational neuroscience. Recent progress in…
Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)
Abhijit Mishra, Shreya Shukla, Jose Torres +2
Decoding and expressing brain activity in a comprehensible form is a challenging frontier in AI. This paper presents Thought2Text, which uses instruction-tuned Large Language Model…
Towards Making Flowchart Images Machine Interpretable
Shreya Shukla, Prajwal Gatti, Yogesh Kumar +2
Computer programming textbooks and software documentations often contain flowcharts to illustrate the flow of an algorithm or procedure. Modern OCR engines often tag these flowchar…
PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures
Shreya Shukla, Nakul Sharma, Manish Gupta +1
Writing comprehensive and accurate descriptions of technical drawings in patent documents is crucial to effective knowledge sharing and enabling the replication and protection of i…