Sneha Silwal
Papers
1
Total Citations
46
H-Index
1
About
Sneha Silwal is a leading researcher in embodied AI and multimodal reasoning, with a focus on bridging perception and language in interactive environments. Her most notable contribution is the introduction of **OpenEQA**, a modern framework for Embodied Question Answering (EQA) that redefines how agents understand and respond to their surroundings using natural language. By enabling agents—such as those on smart glasses—to draw upon episodic memory and real-time environmental cues, her work advances the frontier of human-AI interaction in physical spaces. With her 2024 paper already garnering **46 citations**, Silwal’s research has quickly gained traction for its practical implications in robotics, augmented reality, and assistive technologies. Her contributions highlight the critical role of foundation models in grounding AI reasoning in real-world contexts, making her a rising voice in the quest for more intuitive, context-aware intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1OpenEQA: Embodied Question Answering in the Era of Foundation Models46 citations · 2024