3 papers
cs.CV2024
VidModEx: Interpretable and Efficient Black Box Model Extraction for High-Dimensional Spaces
Somnath Sendhil Kumar, Yuvaraj Govindarajulu, Pavan Kulkarni +1
In the domain of black-box model extraction, conventional methods reliant on soft labels or surrogate datasets struggle with scaling to high-dimensional input spaces and managing t…
cs.CL2024
MMCTAgent: Multi-modal Critical Thinking Agent Framework for Complex Visual Reasoning
Somnath Kumar, Yash Gadhia, Tanuja Ganu +1
Recent advancements in Multi-modal Large Language Models (MLLMs) have significantly improved their performance in tasks combining vision and language. However, challenges persist i…
cs.AI2024
SwissNYF: Tool Grounded LLM Agents for Black Box Setting
Somnath Sendhil Kumar, Dhruv Jain, Eshaan Agarwal +1
While Large Language Models (LLMs) have demonstrated enhanced capabilities in function-calling, these advancements primarily rely on accessing the functions' responses. This method…