Scholar
Azade Nova
Google Scholar ID: 6TOQpT4AAAAJ
Research Scientist at Google DeepMind
Citations & Impact
Citations
5,776
H-index
17
i10-index
21
Publications
20
Co-authors
25
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- ICLR 2025: "Improving Large Language Model Planning with Action Sequence Similarity"
- 2024: Co-authored "Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context"
- 2024: "Exploring and Benchmarking the Planning Capabilities of Large Language Models"
- 2024: Co-authored NATURAL PLAN benchmark for LLMs on natural language planning
- NeurIPS 2024: "UQE: A Query Engine for Unstructured Databases"
- ICML 2023: "Gradient-Free Structured Pruning with Unlabeled Data" and "Revisiting Sampling for Combinatorial Optimization"
- NeurIPS 2023 Datasets & Benchmarks: "DISCS: A Benchmark for Discrete Sampling"
- VLDB 2022: "Maximizing Fair Content Spread via Edge Suggestion in Social Networks"
- ACM TODS 2022: "On Finding Rank Regret Representatives"
- DVCON 2021: Two papers on adaptive test generation and coverage optimization
- Nature 2021: "A graph placement methodology for fast chip design" — deployed in production for Google TPU design, saving thousands of engineering hours
- ICML 2020: "Scalable Deep Generative Modeling for Sparse Graphs"
- SIGMOD 2016: "The TagAdvisor: Luring the Lurkers to Review Web Items"
- VLDB 2016: Demo paper "AD-WIRE: Add-on for Web Item Reviewing System" accepted
- Awarded "Outstanding Doctoral Student" at 2016 College of Engineering Academic Excellence Ceremony
Research Experience
- Research Scientist at Google DeepMind
- Senior Research Scientist at Google Brain
- Postdoctoral researcher at Microsoft Research
- Interned at Microsoft Research DMX group (Summer 2015 and 2016)
- Former AI Resident at Google AI
