Apoorva Nitsure

16 papers A* 3Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 — conf
SYMDIREC: A Neuro-Symbolic Divide-Retrieve-Conquer Framework for Enhanced RTL Synthesis and Summarization.
EACL (Industry Track)
Prashanth Vijayaraghavan, Apoorva Nitsure, Luyao Shi, Charles Mackin, Ashutosh Jadhav, David Beymer, Ehsan Degan, Vandana V. Mukherjee
2026 J jnl
SYMDIREC: A Neuro-Symbolic Divide-Retrieve-Conquer Framework for Enhanced RTL Synthesis and Summarization.
CoRR
Prashanth Vijayaraghavan, Apoorva Nitsure, Luyao Shi, Charles Mackin, Ashutosh Jadhav, David Beymer, Ehsan Degan, Vandana V. Mukherjee
2025 J jnl
Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization.
CoRR
Prashanth Vijayaraghavan, Apoorva Nitsure, Charles Mackin, Luyao Shi, Stefano Ambrogio, Arvind Haran, Viresh Paruthi, Ali El-Zein, Dan Coops, David Beymer, Tyler Baldwin, Ehsan Degan
2025 J jnl
Information Theoretic Guarantees For Policy Alignment In Large Language Models.
Trans. Mach. Learn. Res.
Youssef Mroueh, Apoorva Nitsure
2025 J jnl
Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training.
CoRR
Youssef Mroueh, Nicolas Dupuis, Brian Belgodere, Apoorva Nitsure, Mattia Rigotti, Kristjan H. Greenewald, Jirí Navrátil, Jerret Ross, Jesus Rios
2024 J jnl
Auditing and Generating Synthetic Data With Controllable Trust Trade-Offs.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young
2024 — conf
Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization.
MLCAD
Prashanth Vijayaraghavan, Apoorva Nitsure, Charles Mackin, Luyao Shi, Stefano Ambrogio, Arvind Haran, Viresh Paruthi, Ali El-Zein, Dan Coops, David Beymer, Tyler Baldwin, Ehsan Degan
2024 A* conf
Distributional Preference Alignment of LLMs via Optimal Transport.
NeurIPS
Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan H. Greenewald, Jirí Navrátil, Jarret Ross
2024 J jnl
Distributional Preference Alignment of LLMs via Optimal Transport.
CoRR
Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan H. Greenewald, Jirí Navrátil, Jerret Ross
2024 A* conf
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking.
NeurIPS
Gabriel Rioux, Apoorva Nitsure, Mattia Rigotti, Kristjan H. Greenewald, Youssef Mroueh
2024 J jnl
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking.
CoRR
Gabriel Rioux, Apoorva Nitsure, Mattia Rigotti, Kristjan H. Greenewald, Youssef Mroueh
2024 A* conf
Risk Aware Benchmarking of Large Language Models.
ICML
Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jarret Ross
2024 J jnl
VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation.
CoRR
Prashanth Vijayaraghavan, Luyao Shi, Stefano Ambrogio, Charles Mackin, Apoorva Nitsure, David Beymer, Ehsan Degan
2023 J jnl
A Scalable Space-efficient In-database Interpretability Framework for Embedding-based Semantic SQL Queries.
CoRR
Prabhakar Kudva, Rajesh Bordawekar, Apoorva Nitsure
2023 J jnl
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs.
CoRR
Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young
2023 J jnl
Risk Assessment and Statistical Significance in the Age of Foundation Models.
CoRR
Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jerret Ross