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ORCIDPrashanth Vijayaraghavan
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2020 – today
- 2024
[c21]Luyao Shi, Prashanth Vijayaraghavan, Ehsan Degan:
Data-free Model Fusion with Generator Assistants. CVPR Workshops 2024: 7731-7739- [c20]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:
Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization. MLCAD 2024: 28:1-28:10 - [c19]Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan:
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. NAACL (Industry Track) 2024: 491-502 - [i13]Prashanth Vijayaraghavan, Luyao Shi, Stefano Ambrogio, Charles Mackin, Apoorva Nitsure, David Beymer, Ehsan Degan:
VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation. CoRR abs/2406.04379 (2024) - [i12]Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan:
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. CoRR abs/2406.15476 (2024) - [i11]Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan, Xin Zhang:
CIRCUITSYNTH: Leveraging Large Language Models for Circuit Topology Synthesis. CoRR abs/2407.10977 (2024) - 2023
- [c18]Prashanth Vijayaraghavan, Deb Roy:
M-sense: Modeling Narrative Structure in Short Personal Narratives Using Protagonist's Mental Representations. AAAI 2023: 13664-13672 - [c17]Yuqing Wang, Prashanth Vijayaraghavan, Ehsan Degan:
PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction. EMNLP (Industry Track) 2023: 202-215 - [i10]Prashanth Vijayaraghavan, Deb Roy:
M-SENSE: Modeling Narrative Structure in Short Personal Narratives Using Protagonist's Mental Representations. CoRR abs/2302.09418 (2023) - [i9]Yuqing Wang, Prashanth Vijayaraghavan, Ehsan Degan:
PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction. CoRR abs/2310.16753 (2023) - 2022
- [c16]Martin Saveski, Nabeel Gillani, Ann Yuan, Prashanth Vijayaraghavan, Deb Roy:
Perspective-Taking to Reduce Affective Polarization on Social Media. ICWSM 2022: 885-895 - [c15]Prashanth Vijayaraghavan, Soroush Vosoughi:
TWEETSPIN: Fine-grained Propaganda Detection in Social Media Using Multi-View Representations. NAACL-HLT 2022: 3433-3448 - 2021
- [c14]Prashanth Vijayaraghavan, Deb Roy:
Lifelong Knowledge-Enriched Social Event Representation Learning. EACL 2021: 3624-3635 - [c13]Prashanth Vijayaraghavan, Lavanya Vijayaraghavan:
Modeling Social Media Narratives about Caste-related News Stories. Text2Story@ECIR 2021: 81-86 - [c12]Prashanth Vijayaraghavan, Deb Roy:
Modeling Human Motives and Emotions from Personal Narratives Using External Knowledge And Entity Tracking. WWW 2021: 529-540 - [i8]Prashanth Vijayaraghavan, Hugo Larochelle, Deb Roy:
Interpretable Multi-Modal Hate Speech Detection. CoRR abs/2103.01616 (2021) - [i7]Martin Saveski, Nabeel Gillani, Ann Yuan, Prashanth Vijayaraghavan, Deb Roy:
Perspective-taking to Reduce Affective Polarization on Social Media. CoRR abs/2110.05596 (2021) - 2020
- [c11]Prashanth Vijayaraghavan, Eric Chu, Deb Roy:
DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory. AACL/IJCNLP 2020: 643-652 - [i6]Prashanth Vijayaraghavan, Deb Roy:
Video SemNet: Memory-Augmented Video Semantic Network. CoRR abs/2011.10909 (2020)
2010 – 2019
- 2019
- [c10]Prashanth Vijayaraghavan, Deb Roy:
Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model. ECML/PKDD (2) 2019: 711-726 - [i5]Prashanth Vijayaraghavan, Deb Roy:
Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model. CoRR abs/1909.07873 (2019) - 2018
- [c9]Eric Chu, Prashanth Vijayaraghavan, Deb Roy:
Learning Personas from Dialogue with Attentive Memory Networks. EMNLP 2018: 2638-2646 - [i4]Eric Chu, Prashanth Vijayaraghavan, Deb Roy:
Learning Personas from Dialogue with Attentive Memory Networks. CoRR abs/1810.08717 (2018) - 2017
- [c8]Prashanth Vijayaraghavan, Soroush Vosoughi, Deb Roy:
Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning. ACL (2) 2017: 478-483 - [c7]Misha Sra, Prashanth Vijayaraghavan, Ognjen Rudovic, Pattie Maes, Deb Roy:
DeepSpace: Mood-Based Image Texture Generation for Virtual Reality from Music. CVPR Workshops 2017: 2289-2298 - [c6]Soroush Vosoughi, Prashanth Vijayaraghavan, Ann Yuan, Deb Roy:
Mapping Twitter Conversation Landscapes. ICWSM 2017: 684-687 - [c5]Prashanth Vijayaraghavan, Soroush Vosoughi, Ann Yuan, Deb Roy:
TweetVista: An AI-Powered Interactive Tool for Exploring Conversations on Twitter. IUI Companion 2017: 145-148 - [c4]Misha Sra, Pattie Maes, Prashanth Vijayaraghavan, Deb Roy:
Auris: creating affective virtual spaces from music. VRST 2017: 26:1-26:11 - 2016
- [c3]Prashanth Vijayaraghavan, Soroush Vosoughi, Deb Roy:
Automatic Detection and Categorization of Election-Related Tweets. ICWSM 2016: 703-706 - [c2]Prashanth Vijayaraghavan, Ivan Sysoev, Soroush Vosoughi, Deb Roy:
DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs. SemEval@NAACL-HLT 2016: 413-419 - [c1]Soroush Vosoughi, Prashanth Vijayaraghavan, Deb Roy:
Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder. SIGIR 2016: 1041-1044 - [i3]Prashanth Vijayaraghavan, Soroush Vosoughi, Deb Roy:
Automatic Detection and Categorization of Election-Related Tweets. CoRR abs/1605.05150 (2016) - [i2]Prashanth Vijayaraghavan, Ivan Sysoev, Soroush Vosoughi, Deb Roy:
DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs. CoRR abs/1606.05694 (2016) - [i1]Soroush Vosoughi, Prashanth Vijayaraghavan, Deb Roy:
Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder. CoRR abs/1607.07514 (2016)
Coauthor Index
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last updated on 2024-10-23 21:27 CEST by the dblp team
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