activity
20232025
most citedDistributional Preference Alignment of LLMs via Optimal Transport

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

GP-MoLFormer-Sim: Test Time Molecular Optimization through Contextual Similarity Guidance

Jiri Navratil, Jarret Ross, Payel Das +4

The ability to design molecules while preserving similarity to a target molecule and/or property is crucial for various applications in drug discovery, chemical design, and biology…

cs.LG2025

Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training

Youssef Mroueh, Nicolas Dupuis, Brian Belgodere +6

We revisit Group Relative Policy Optimization (GRPO) in both on-policy and off-policy optimization regimes. Our motivation comes from recent work on off-policy Proximal Policy Opti…

cs.LG2024★ 3 cited

Distributional Preference Alignment of LLMs via Optimal Transport

Igor Melnyk, Youssef Mroueh, Brian Belgodere +6

Current LLM alignment techniques use pairwise human preferences at a sample level, and as such, they do not imply an alignment on the distributional level. We propose in this paper…

cs.LG2024★ 2 cited

Larimar: Large Language Models with Episodic Memory Control

Payel Das, Subhajit Chaudhury, Elliot Nelson +10

Efficient and accurate updating of knowledge stored in Large Language Models (LLMs) is one of the most pressing research challenges today. This paper presents Larimar - a novel, br…

cs.LG2023

Risk Aware Benchmarking of Large Language Models

Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti +6

We propose a distributional framework for benchmarking socio-technical risks of foundation models with quantified statistical significance. Our approach hinges on a new statistical…