3 papers
cs.LG2026
A Continuous-Time Markov Chain Framework for Insertion Language Models
Dhruvesh Patel, Benjamin Rozonoyer, Soumitra Das +3
Insertion Language Models (ILMs) offer several advantages over left-to-right generation and mask-based generation. However, existing formulations of insertion-based generation have…
cs.IR2026
Autoregressive Ranking: Bridging the Gap Between Dual and Cross Encoders
Benjamin Rozonoyer, Chong You, Michael Boratko +5
The success of Large Language Models (LLMs) has motivated a shift toward generative approaches to retrieval and ranking, aiming to supersede classical Dual Encoders (DEs) and Cross…
cs.CL2025
XLM: A Python package for non-autoregressive language models
Dhruvesh Patel, Durga Prasad Maram, Sai Sreenivas Chintha +2
In recent years, there has been a resurgence of interest in non-autoregressive text generation in the context of general language modeling. Unlike the well-established autoregressi…