Ehsan Degan - RankMe

19 papers A* 2Journal 9Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	CODMAS: A Dialectic Multi-Agent Collaborative Framework for Structured RTL Optimization. EACL (Industry Track) Che-Ming Chang, Prashanth Vijayaraghavan, Ashutosh Jadhav, Charles Mackin, Hsinyu Tsai, Vandana V. Mukherjee, Ehsan Degan
2026	J	`jnl`	CODMAS: A Dialectic Multi-Agent Collaborative Framework for Structured RTL Optimization. CoRR Che-Ming Chang, Prashanth Vijayaraghavan, Ashutosh Jadhav, Charles Mackin, Vandana V. Mukherjee, Hsinyu Tsai, Ehsan Degan
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	A*	`conf`	AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation. ICML Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan, Vandana V. Mukherjee, Xin Zhang
2025	J	`jnl`	AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation. CoRR Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan, Vandana V. Mukherjee, Xin Zhang
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	A*	`conf`	DECASTE: Unveiling Caste Stereotypes in Large Language Models Through Multi-Dimensional Bias Analysis. IJCAI Prashanth Vijayaraghavan, Soroush Vosoughi, Lamogha Chiazor, Raya Horesh, Rogério Abreu de Paula, Ehsan Degan, Vandana V. Mukherjee
2025	J	`jnl`	DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis. CoRR Prashanth Vijayaraghavan, Soroush Vosoughi, Lamogha Chizor, Raya Horesh, Rogério Abreu de Paula, Ehsan Degan, Vandana V. Mukherjee
2025	—	`conf`	RTLExplain: A Structured Approach to RTL Code Summarization and Question Answering for Medium-to-Large Designs Using LLMs. MLCAD Ting-Hsun Chi, Charles Mackin, Luyao Shi, Prashanth Vijayaraghavan, Hsinyu Tsai, Ehsan Degan
2024	J	`jnl`	CIRCUITSYNTH: Leveraging Large Language Models for Circuit Topology Synthesis. CoRR Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan, Xin Zhang
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	—	`conf`	Data-free Model Fusion with Generator Assistants. CVPR Workshops Luyao Shi, Prashanth Vijayaraghavan, Ehsan Degan
2024	—	`conf`	Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. NAACL (Industry Track) Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan
2024	J	`jnl`	Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. CoRR Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan
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	—	`conf`	PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction. EMNLP (Industry Track) Yuqing Wang, Prashanth Vijayaraghavan, Ehsan Degan
2023	J	`jnl`	PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction. CoRR Yuqing Wang, Prashanth Vijayaraghavan, Ehsan Degan
2022	—	`ch.`	Application of Federated Learning in Medical Imaging. Federated Learning Ehsan Degan, Shafiq Abedin, David Beymer, Angshuman Deb, Nathaniel Braman, Benedikt Graf, Vandana V. Mukherjee