Siddharth Patwardhan
Computer Science · Indiana University
Publications
58
Citations
5,483
Est. group size
—
Recurring co-author estimate
Active years
24
Publishing since 2003
Siddharth Patwardhan works in natural language processing, the branch of computer science focused on helping computers understand and generate human language. Recent projects include building smaller, more efficient language models, question answering systems (including over medical records), multilingual text processing, and word embeddings (numerical representations of word meaning). Some work also touches on analyzing complex networks and applying machine learning to network problems.
After roughly one publication per year from 2017 to 2020, output grew notably in 2022-2023 before tapering, averaging about 3.4 publications per year over the last five years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- EELBERT: Tiny Models through Dynamic Embeddings
2023
- EELBERT: Tiny Models through Dynamic Embeddings
arXiv (Cornell University) · 2023
- Can Open Domain Question Answering Systems Answer Visual Knowledge Questions?
arXiv (Cornell University) · 2022
- Languages You Know Influence Those You Learn: Impact of Language Characteristics on Multi-Lingual Text-to-Text Transfer
arXiv (Cornell University) · 2022
- Machine Learning as an Accurate Predictor for Percolation Threshold of Diverse Networks
ArXiv.org · 2022
- Model Stability with Continuous Data Updates
arXiv (Cornell University) · 2022
- Survival probability of a lazy prey on lattices and complex networks
The European Physical Journal E · 2020
- Quantifying Dismantlement in Disconnected Networks
arXiv (Cornell University) · 2019
- Annotating Electronic Medical Records for Question Answering
arXiv (Cornell University) · 2018
- WatsonPaths: Scenario‐Based Question Answering and Inference over Unstructured Information
AI Magazine · 2017
- Addressing Limited Data for Textual Entailment Across Domains
2016
- The Role of Context Types and Dimensionality in Learning Word Embeddings
2016
- Question Answering on Electronic Medical Records.
CRI eBooks · 2016
- arXiv (Cornell University)×11
- Physical review. E×3
- AI Magazine×1
- Nature Communications×1
- The European Physical Journal E×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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