4 papers · 1 filter
ATLAS: Learning to Recommend Across Unseen Domains
Pervez Shaik, Prosenjit Biswas, Abhinav Thorat +2
Recommender systems remain domain-bound: a model trained on one interaction environment typically requires retraining or target-domain adaptation before it can operate on a new cat…
GENESIS: Towards Explainable Causal Discovery
Abhinav Thorat, Ravi Kumar Kolla, Vishak K Bhat +2
Causal Discovery (CD) from observational data faces two fundamental challenges. First, purely statistical methods often lack the power to resolve structural ambiguities in low-samp…
RecRec: Recursive Refinement for Sequential Recommendation
Pervez Shaik, Prosenjit Biswas, Abhinav Thorat +2
Sequential recommender systems typically infer user preferences through single-pass encoding of interaction histories without iterative refinement, relying on increasingly deep arc…
PlotTwist: A Creative Plot Generation Framework with Small Language Models
Abhinav Thorat, Ravi Kolla, Jyotin Goel +2
Creative plot generation presents a fundamental challenge for language models: transforming a concise premise into a coherent narrative that sustains global coherence, character de…