Ehsan Degan

According to our database, Ehsan Degan authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SYMDIREC: A Neuro-Symbolic Divide-Retrieve-Conquer Framework for Enhanced RTL Synthesis and Summarization.

Prashanth Vijayaraghavan, Apoorva Nitsure, Luyao Shi, Charles Mackin, Ashutosh Jadhav, David Beymer, Ehsan Degan, Vandana V. Mukherjee

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

CODMAS: A Dialectic Multi-Agent Collaborative Framework for Structured RTL Optimization.

Che-Ming Chang, Prashanth Vijayaraghavan, Ashutosh Jadhav, Charles Mackin, Hsinyu Tsai, Vandana V. Mukherjee, Ehsan Degan

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis.

Prashanth Vijayaraghavan, Soroush Vosoughi, Lamogha Chizor, Raya Horesh, Rogério Abreu de Paula, Ehsan Degan, Vandana V. Mukherjee

CoRR, May, 2025

RTLExplain: A Structured Approach to RTL Code Summarization and Question Answering for Medium-to-Large Designs Using LLMs.

Ting-Hsun Chi, Charles Mackin, Luyao Shi, Prashanth Vijayaraghavan, Hsinyu Tsai, Ehsan Degan

Proceedings of the 7th ACM/IEEE Symposium on Machine Learning for CAD, 2025

DECASTE: Unveiling Caste Stereotypes in Large Language Models Through Multi-Dimensional Bias Analysis.

Prashanth Vijayaraghavan, Soroush Vosoughi, Lamogha Chiazor, Raya Horesh, Rogério Abreu de Paula, Ehsan Degan, Vandana V. Mukherjee

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation.

Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan, Vandana V. Mukherjee, Xin Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

CIRCUITSYNTH: Leveraging Large Language Models for Circuit Topology Synthesis.

Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan, Xin Zhang

CoRR, 2024

VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation.

Prashanth Vijayaraghavan, Luyao Shi, Stefano Ambrogio, Charles Mackin, Apoorva Nitsure, David Beymer, Ehsan Degan

CoRR, 2024

Self-Regulated Data-Free Knowledge Amalgamation for Text Classification.

Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization.

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

Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

Data-free Model Fusion with Generator Assistants.

Luyao Shi, Prashanth Vijayaraghavan, Ehsan Degan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction.

Yuqing Wang, Prashanth Vijayaraghavan, Ehsan Degan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

2022

Application of Federated Learning in Medical Imaging.

Ehsan Degan, Shafiq Abedin, David Beymer, Angshuman Deb, Nathaniel Braman, Benedikt Graf, Vandana V. Mukherjee

Proceedings of the Federated Learning, 2022