3 papers
cs.IR2025
GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation
Krishna Acharya, Aleksandr V. Petrov, Juba Ziani
We propose Generative Low-rank language model with Semantic Search (GLoSS), a generative recommendation framework that combines large language models with dense retrieval for seque…
cs.GT2025
Last-iterate Convergence for Symmetric, General-sum, Games Under The Exponential Weights Dynamic
Guanghui Wang, Krishna Acharya, Lokranjan Lakshmikanthan +2
We conduct a comprehensive analysis of the discrete-time exponential-weights dynamic with a constant step size on all general-sum and symmetric normal-form games, i.e.…
cs.IR2025
Improving Minimax Group Fairness in Sequential Recommendation
Krishna Acharya, David Wardrope, Timos Korres +2
Training sequential recommenders such as SASRec with uniform sample weights achieves good overall performance but can fall short on specific user groups. One such example is popula…