Prashanth Vijayaraghavan

44 papers A* 6A 4B 1Journal 18Unranked 15

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	J	`jnl`	M-SENSE: Modeling Narrative Structure in Short Personal Narratives Using Protagonist's Mental Representations. CoRR Prashanth Vijayaraghavan, Deb Roy
2023	A*	`conf`	M-sense: Modeling Narrative Structure in Short Personal Narratives Using Protagonist's Mental Representations. AAAI Prashanth Vijayaraghavan, Deb Roy
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	A	`conf`	Perspective-Taking to Reduce Affective Polarization on Social Media. ICWSM Martin Saveski, Nabeel Gillani, Ann Yuan, Prashanth Vijayaraghavan, Deb Roy
2022	—	`conf`	TWEETSPIN: Fine-grained Propaganda Detection in Social Media Using Multi-View Representations. NAACL-HLT Prashanth Vijayaraghavan, Soroush Vosoughi
2021	J	`jnl`	Interpretable Multi-Modal Hate Speech Detection. CoRR Prashanth Vijayaraghavan, Hugo Larochelle, Deb Roy
2021	A	`conf`	Lifelong Knowledge-Enriched Social Event Representation Learning. EACL Prashanth Vijayaraghavan, Deb Roy
2021	A*	`conf`	Modeling Human Motives and Emotions from Personal Narratives Using External Knowledge And Entity Tracking. WWW Prashanth Vijayaraghavan, Deb Roy
2021	—	`conf`	Modeling Social Media Narratives about Caste-related News Stories. Text2Story@ECIR Prashanth Vijayaraghavan, Lavanya Vijayaraghavan
2021	J	`jnl`	Perspective-taking to Reduce Affective Polarization on Social Media. CoRR Martin Saveski, Nabeel Gillani, Ann Yuan, Prashanth Vijayaraghavan, Deb Roy
2020	—	`conf`	DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory. AACL/IJCNLP Prashanth Vijayaraghavan, Eric Chu, Deb Roy
2020	J	`jnl`	Video SemNet: Memory-Augmented Video Semantic Network. CoRR Prashanth Vijayaraghavan, Deb Roy
2019	—	`conf`	Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model. ECML/PKDD (2) Prashanth Vijayaraghavan, Deb Roy
2019	J	`jnl`	Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model. CoRR Prashanth Vijayaraghavan, Deb Roy
2018	A*	`conf`	Learning Personas from Dialogue with Attentive Memory Networks. EMNLP Eric Chu, Prashanth Vijayaraghavan, Deb Roy
2018	J	`jnl`	Learning Personas from Dialogue with Attentive Memory Networks. CoRR Eric Chu, Prashanth Vijayaraghavan, Deb Roy
2017	B	`conf`	Auris: creating affective virtual spaces from music. VRST Misha Sra, Pattie Maes, Prashanth Vijayaraghavan, Deb Roy
2017	—	`conf`	DeepSpace: Mood-Based Image Texture Generation for Virtual Reality from Music. CVPR Workshops Misha Sra, Prashanth Vijayaraghavan, Ognjen Rudovic, Pattie Maes, Deb Roy
2017	A	`conf`	Mapping Twitter Conversation Landscapes. ICWSM Soroush Vosoughi, Prashanth Vijayaraghavan, Ann Yuan, Deb Roy
2017	—	`conf`	TweetVista: An AI-Powered Interactive Tool for Exploring Conversations on Twitter. IUI Companion Prashanth Vijayaraghavan, Soroush Vosoughi, Ann Yuan, Deb Roy
2017	—	`conf`	Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning. ACL (2) Prashanth Vijayaraghavan, Soroush Vosoughi, Deb Roy
2016	A	`conf`	Automatic Detection and Categorization of Election-Related Tweets. ICWSM Prashanth Vijayaraghavan, Soroush Vosoughi, Deb Roy
2016	J	`jnl`	Automatic Detection and Categorization of Election-Related Tweets. CoRR Prashanth Vijayaraghavan, Soroush Vosoughi, Deb Roy
2016	—	`conf`	DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs. SemEval@NAACL-HLT Prashanth Vijayaraghavan, Ivan Sysoev, Soroush Vosoughi, Deb Roy
2016	J	`jnl`	DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs. CoRR Prashanth Vijayaraghavan, Ivan Sysoev, Soroush Vosoughi, Deb Roy
2016	A*	`conf`	Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder. SIGIR Soroush Vosoughi, Prashanth Vijayaraghavan, Deb Roy
2016	J	`jnl`	Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder. CoRR Soroush Vosoughi, Prashanth Vijayaraghavan, Deb Roy