6 papers
Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery
Anushree Sinha, Srivaths Ranganathan, Abhishek Dharmaratnakar +1
Autonomous Large Language Model (LLM) agents are increasingly deployed in electronic discovery (e-discovery), where compounding errors across multi-step reasoning chains can consti…
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…
Retinal Cyst Detection from Optical Coherence Tomography Images
Abhishek Dharmaratnakar, Aadheeshwar Vijayakumar, Suchand Dayanand
Retinal Cysts are formed by leakage and accumulation of fluid in the retina due to the incompetence of retinal vasculature. These cystic spaces have significance in several ocular…
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…