5 papers
Agentic AI for Personalized Physiotherapy: A Multi-Agent Framework for Generative Video Training and Real-Time Pose Correction
Abhishek Dharmaratnakar, Srivaths Ranganathan, Anushree Sinha +1
At-home physiotherapy compliance remains critically low due to a lack of personalized supervision and dynamic feedback. Existing digital health solutions rely on static, pre-record…
Beyond Fluency: Toward Reliable Trajectories in Agentic IR
Anushree Sinha, Srivaths Ranganathan, Debanshu Das +1
Information Retrieval is shifting from passive document ranking toward autonomous agentic workflows that operate in multi-step Reason-Act-Observe loops. In such long-horizon trajec…
Generative AI for Video Trailer Synthesis: From Extractive Heuristics to Autoregressive Creativity
Abhishek Dharmaratnakar, Srivaths Ranganathan, Debanshu Das +1
The domain of automatic video trailer generation is currently undergoing a profound paradigm shift, transitioning from heuristic-based extraction methods to deep generative synthes…
Multi-Agent Video Recommenders: Evolution, Patterns, and Open Challenges
Srivaths Ranganathan, Abhishek Dharmaratnakar, Anushree Sinha +1
Video recommender systems are among the most popular and impactful applications of AI, shaping content consumption and influencing culture for billions of users. Traditional single…
Zero-shot Cross-domain Knowledge Distillation: A Case study on YouTube Music
Srivaths Ranganathan, Nikhil Khani, Shawn Andrews +8
Knowledge Distillation (KD) has been widely used to improve the quality of latency sensitive models serving live traffic. However, applying KD in production recommender systems wit…