3 papers
cs.IR2026
Shielded RecRL: Explanation Generation for Recommender Systems without Ranking Degradation
Ansh Tiwari, Ayush Chauhan
We introduce Shielded RecRL, a reinforcement learning approach to generate personalized explanations for recommender systems without sacrificing the system's original ranking perfo…
cs.LG2025
Local Timescale Gates for Timescale-Robust Continual Spiking Neural Networks
Ansh Tiwari, Ayush Chauhan
Spiking neural networks (SNNs) promise energy-efficient artificial intelligence on neuromorphic hardware but struggle with tasks requiring both fast adaptation and long-term memory…
cs.SD2025
TuneGenie: Reasoning-based LLM agents for preferential music generation
Amitesh Pandey, Jafarbek Arifdjanov, Ansh Tiwari
Recently, Large language models (LLMs) have shown great promise across a diversity of tasks, ranging from generating images to reasoning spatially. Considering their remarkable (an…