17 citations · 34 across the 9 of their papers we have counts for
9 papers
Calibrated Enough to Know, Not Calibrated to Act: Fabricated Evidence Makes LLM Agents Commit to the Unknowable
Pranav Aggarwal
An LLM agent shown a professional-looking market panel commits to a directional call on a provably unpredictable question far more often than one asked the bare question: across 12…
Astra: AI Safety, Trust, & Risk Assessment
Pranav Aggarwal, Ananya Basotia, Debayan Gupta +8
This paper argues that existing global AI safety frameworks exhibit contextual blindness towards India's unique socio-technical landscape. With a population of 1.5 billion and a ma…
Controlled and Conditional Text to Image Generation with Diffusion Prior
Pranav Aggarwal, Hareesh Ravi, Naveen Marri +12
Denoising Diffusion models have shown remarkable performance in generating diverse, high quality images from text. Numerous techniques have been proposed on top of or in alignment…
StyleBabel: Artistic Style Tagging and Captioning
Dan Ruta, Andrew Gilbert, Pranav Aggarwal +9
We present StyleBabel, a unique open access dataset of natural language captions and free-form tags describing the artistic style of over 135K digital artworks, collected via a nov…
Towards Zero-shot Cross-lingual Image Retrieval and Tagging
Pranav Aggarwal, Ritiz Tambi, Ajinkya Kale
There has been a recent spike in interest in multi-modal Language and Vision problems. On the language side, most of these models primarily focus on English since most multi-modal…
Towards Zero-shot Cross-lingual Image Retrieval
Pranav Aggarwal, Ajinkya Kale
There has been a recent spike in interest in multi-modal Language and Vision problems. On the language side, most of these models primarily focus on English since most multi-modal…
Multi-Modal Retrieval using Graph Neural Networks
Aashish Kumar Misraa, Ajinkya Kale, Pranav Aggarwal +1
Most real world applications of image retrieval such as Adobe Stock, which is a marketplace for stock photography and illustrations, need a way for users to find images which are b…
Multitask Text-to-Visual Embedding with Titles and Clickthrough Data
Pranav Aggarwal, Zhe Lin, Baldo Faieta +1
Text-visual (or called semantic-visual) embedding is a central problem in vision-language research. It typically involves mapping of an image and a text description to a common fea…
A Deep Learning Approach to Drone Monitoring
Yueru Chen, Pranav Aggarwal, Jongmoo Choi +1
A drone monitoring system that integrates deep-learning-based detection and tracking modules is proposed in this work. The biggest challenge in adopting deep learning methods for d…