Pranava Madhyastha

Interactive verification of claims in visual data is far more complex than traditional static evaluations reveal, with state-of-the-art models struggling to meet the challenge.

Combining visual exploration with symbolic planning enables agents to achieve over 90% success in executing complex household tasks, far surpassing traditional methods.

Fixed-width attention spans can give you better grammar and human-like reading patterns, especially when you're short on training data.