3 papers
cs.CL2026
Mask-Aware Policy Gradients for Diffusion Language Models
Haran Raajesh, Kulin Shah, Adam Klivans +1
Reinforcement learning has proven effective for improving reasoning in large language models, but extending it to Masked Diffusion Language Models (MDLMs) remains challenging due t…
cs.LG2025
Masked Diffusion for Generative Recommendation
Kulin Shah, Bhuvesh Kumar, Neil Shah +1
Generative recommendation (GR) with semantic IDs (SIDs) has emerged as a promising alternative to traditional recommendation approaches due to its performance gains, capitalization…
cs.LG2025
Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion
Kulin Shah, Alkis Kalavasis, Adam R. Klivans +1
There is strong empirical evidence that the state-of-the-art diffusion modeling paradigm leads to models that memorize the training set, especially when the training set is small.…