We have 4 of 192 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Mixture of Semantic Attention Regimes (MoSAR) is introduced, which learns such an adaptive, controlled-decay geometry over query--key interactions, suggesting that it is not only adaptive, but also amenable to low-cost approximation at inference time.
Agentic Conversational Recommender Systems (ACRSs) are designed to recommend through multi-turn dialogue with users whose needs are not fully formed at the outset. However, their evaluation almost exclusively relies on user simulators that instantiate users with clear, pre-formed needs, reducing the interaction to a re...
This work introduces a family of open-weight user simulation models capable of generalizing across diverse e-commerce domains and operationalizes three distinct behavioral stereotypes, highlighting the necessity of a scalable framework for rigorously stress-testing the next generation of conversational agents against r...
The proposed REKALM, a comprehensive integration framework for enhancing LLM-based recommenders through knowledge integration, demonstrates that augmenting LLMs with lexicalized, domain-specific knowledge is an effective system-level strategy for advancing the next generation of recommender systems.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
