| 2026 | EACL | 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 |
| 2026 | EACL | 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 |
| 2025 | ICML | AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation. | Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan, Vandana V. Mukherjee, Xin Zhang |
| 2025 | IJCAI | DECASTE: Unveiling Caste Stereotypes in Large Language Models Through Multi-Dimensional Bias Analysis. | Prashanth Vijayaraghavan, Soroush Vosoughi, Lamogha Chiazor, Raya Horesh, Rogrio Abreu de Paula, Ehsan Degan, Vandana V. Mukherjee |
| 2024 | CVPR | Data-free Model Fusion with Generator Assistants. | Luyao Shi, Prashanth Vijayaraghavan, Ehsan Degan |
| 2024 | NAACL | Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. | Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan |
| 2023 | AAAI | M-sense: Modeling Narrative Structure in Short Personal Narratives Using Protagonist's Mental Representations. | Prashanth Vijayaraghavan, Deb Roy |
| 2023 | EMNLP | PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction. | Yuqing Wang, Prashanth Vijayaraghavan, Ehsan Degan |
| 2022 | ICWSM | Perspective-Taking to Reduce Affective Polarization on Social Media. | Martin Saveski, Nabeel Gillani, Ann Yuan, Prashanth Vijayaraghavan, Deb Roy |
| 2022 | NAACL | TWEETSPIN: Fine-grained Propaganda Detection in Social Media Using Multi-View Representations. | Prashanth Vijayaraghavan, Soroush Vosoughi |
| 2021 | EACL | Lifelong Knowledge-Enriched Social Event Representation Learning. | Prashanth Vijayaraghavan, Deb Roy |
| 2021 | ECIR | Modeling Social Media Narratives about Caste-related News Stories. | Prashanth Vijayaraghavan, Lavanya Vijayaraghavan |
| 2021 | WWW | Modeling Human Motives and Emotions from Personal Narratives Using External Knowledge And Entity Tracking. | Prashanth Vijayaraghavan, Deb Roy |
| 2020 | IJCNLP | DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory. | Prashanth Vijayaraghavan, Eric Chu, Deb Roy |
| 2018 | EMNLP | Learning Personas from Dialogue with Attentive Memory Networks. | Eric Chu, Prashanth Vijayaraghavan, Deb Roy |
| 2017 | ACL | Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning. | Prashanth Vijayaraghavan, Soroush Vosoughi, Deb Roy |
| 2017 | CVPR | DeepSpace: Mood-Based Image Texture Generation for Virtual Reality from Music. | Misha Sra, Prashanth Vijayaraghavan, Ognjen Rudovic, Pattie Maes, Deb Roy |
| 2017 | ICWSM | Mapping Twitter Conversation Landscapes. | Soroush Vosoughi, Prashanth Vijayaraghavan, Ann Yuan, Deb Roy |
| 2017 | IUI | TweetVista: An AI-Powered Interactive Tool for Exploring Conversations on Twitter. | Prashanth Vijayaraghavan, Soroush Vosoughi, Ann Yuan, Deb Roy |
| 2017 | VRST | Auris: creating affective virtual spaces from music. | Misha Sra, Pattie Maes, Prashanth Vijayaraghavan, Deb Roy |
| 2016 | ICWSM | Automatic Detection and Categorization of Election-Related Tweets. | Prashanth Vijayaraghavan, Soroush Vosoughi, Deb Roy |
| 2016 | SIGIR | Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder. | Soroush Vosoughi, Prashanth Vijayaraghavan, Deb Roy |