Automatic Detection and Categorization of Election-Related Tweets. - Prashanth Vijayaraghavan; Soroush Vosoughi; Deb Roy (ICWSM, 2016)

DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs. - Prashanth Vijayaraghavan; Ivan Sysoev; Soroush Vosoughi; Deb Roy (SemEval@NAACL-HLT, 2016)

Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder. - Soroush Vosoughi; Prashanth Vijayaraghavan; Deb Roy (SIGIR, 2016)

Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning. - Prashanth Vijayaraghavan; Soroush Vosoughi; Deb Roy (ACL (2), 2017)

DeepSpace: Mood-Based Image Texture Generation for Virtual Reality from Music. - Misha Sra; Prashanth Vijayaraghavan; Ognjen Rudovic; Pattie Maes; Deb Roy (CVPR Workshops, 2017)

Mapping Twitter Conversation Landscapes. - Soroush Vosoughi; Prashanth Vijayaraghavan; Ann Yuan; Deb Roy (ICWSM, 2017)

TweetVista: An AI-Powered Interactive Tool for Exploring Conversations on Twitter. - Prashanth Vijayaraghavan; Soroush Vosoughi; Ann Yuan; Deb Roy (IUI Companion, 2017)

Auris: creating affective virtual spaces from music. - Misha Sra; Pattie Maes; Prashanth Vijayaraghavan; Deb Roy (VRST, 2017)

Learning Personas from Dialogue with Attentive Memory Networks. - Eric Chu; Prashanth Vijayaraghavan; Deb Roy (EMNLP, 2018)

Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model. - Prashanth Vijayaraghavan; Deb Roy (ECML/PKDD (2), 2019)

DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory. - Prashanth Vijayaraghavan; Eric Chu; Deb Roy (AACL/IJCNLP, 2020)

Video SemNet: Memory-Augmented Video Semantic Network. - Prashanth Vijayaraghavan; Deb Roy (CoRR, 2020)

Lifelong Knowledge-Enriched Social Event Representation Learning. - Prashanth Vijayaraghavan; Deb Roy (EACL, 2021)

Modeling Social Media Narratives about Caste-related News Stories. - Prashanth Vijayaraghavan; Lavanya Vijayaraghavan (Text2Story@ECIR, 2021)

Modeling Human Motives and Emotions from Personal Narratives Using External Knowledge And Entity Tracking. - Prashanth Vijayaraghavan; Deb Roy (WWW, 2021)

Interpretable Multi-Modal Hate Speech Detection. - Prashanth Vijayaraghavan; Hugo Larochelle; Deb Roy (CoRR, 2021)

Perspective-Taking to Reduce Affective Polarization on Social Media. - Martin Saveski; Nabeel Gillani; Ann Yuan; Prashanth Vijayaraghavan; Deb Roy (ICWSM, 2022)

TWEETSPIN: Fine-grained Propaganda Detection in Social Media Using Multi-View Representations. - Prashanth Vijayaraghavan; Soroush Vosoughi (NAACL-HLT, 2022)

M-sense: Modeling Narrative Structure in Short Personal Narratives Using Protagonist's Mental Representations. - Prashanth Vijayaraghavan; Deb Roy (AAAI, 2023)

PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction. - Yuqing Wang; Prashanth Vijayaraghavan; Ehsan Degan (EMNLP (Industry Track), 2023)

Data-free Model Fusion with Generator Assistants. - Luyao Shi; Prashanth Vijayaraghavan; Ehsan Degan (CVPR Workshops, 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 (MLCAD, 2024)

Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. - Prashanth Vijayaraghavan; Hongzhi Wang 002; Luyao Shi; Tyler Baldwin; David Beymer; Ehsan Degan (NAACL (Industry Track), 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)

CIRCUITSYNTH: Leveraging Large Language Models for Circuit Topology Synthesis. - Prashanth Vijayaraghavan; Luyao Shi; Ehsan Degan; Xin Zhang (CoRR, 2024)

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, 2025)

AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation. - Prashanth Vijayaraghavan; Luyao Shi; Ehsan Degan; Vandana V. Mukherjee; Xin Zhang (CoRR, 2025)