Spandan Das

According to our database, Spandan Das authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ÜberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset.

Aldo Gael Carranza, Kaleigh Mentzer, Ricardo Pio Monti, Alex Fang, Alvin Deng, Amro Abbas, Anshuman Suri, Brett W. Larsen, Cody Blakeney, Darren Teh, David Schwab, Diego Kiner, Fan Pan, Haakon Mongstad, Haoli Yin, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Luke Merrick, Maximilian Böther, Parth Doshi, Paul Burstein, Pratyush Maini, Rishabh Adiga, Siddharth Joshi, Spandan Das, Tony Jiang, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt

CoRR, February, 2026

DatBench: Discriminative, Faithful, and Efficient VLM Evaluations.

Siddharth Joshi, Haoli Yin, Rishabh Adiga, Ricardo Monti, Aldo Carranza, Alex Fang, Alvin Deng, Amro Abbas, Brett W. Larsen, Cody Blakeney, Darren Teh, David Schwab, Fan Pan, Haakon Mongstad, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Kaleigh Mentzer, Luke Merrick, Parth Doshi, Paul Burstein, Pratyush Maini, Scott Loftin, Spandan Das, Tony Jiang, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt

CoRR, January, 2026

2025

Luxical: High-Speed Lexical-Dense Text Embeddings.

Luke Merrick, Alex Fang, Aldo Carranza, Alvin Deng, Amro Abbas, Brett W. Larsen, Cody Blakeney, Darren Teh, David Schwab, Fan Pan, Haakon Mongstad, Haoli Yin, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Kaleigh Mentzer, Paul Burstein, Parth Doshi, Paul Burnstein, Pratyush Maini, Ricardo Monti, Rishabh Adiga, Scott Loftin, Siddharth Joshi, Spandan Das, Tony Jiang, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt

CoRR, December, 2025

BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining.

Pratyush Maini, Vineeth Dorna, Parth Doshi, Aldo Carranza, Fan Pan, Jack Urbanek, Paul Burstein, Alex Fang, Alvin Deng, Amro Abbas, Brett W. Larsen, Cody Blakeney, Charvi Bannur, Christina Baek, Darren Teh, David Schwab, Haakon Mongstad, Haoli Yin, Josh Wills, Kaleigh Mentzer, Luke Merrick, Ricardo Monti, Rishabh Adiga, Siddharth Joshi, Spandan Das, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt

CoRR, August, 2025

2024

TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report Analysis.

Spandan Das, Vinay Samuel, Shahriar Noroozizadeh

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models.

Zichun Yu, Spandan Das, Chenyan Xiong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Abstraction-based Probabilistic Stability Analysis of Polyhedral Probabilistic Hybrid Systems.

Spandan Das, Pavithra Prabhakar

CoRR, 2023

Poster Abstract: Stability Analysis of Planar Probabilistic Piecewise Constant Derivative Systems.

Spandan Das, Pavithra Prabhakar

Proceedings of the 26th ACM International Conference on Hybrid Systems: Computation and Control, 2023

2022

A Comprehensive Machine Learning Study to Classify Precipitation Type over Land from Global Precipitation Measurement Microwave Imager (GPM-GMI) Measurements.

Spandan Das, Yiding Wang, Jie Gong, Leah Ding, Stephen Joseph Munchak, Chenxi Wang, Dong L. Wu, Liang Liao, William S. Olson, Donifan O. Barahona

Remote. Sens., 2022

Bayesian Statistical Model Checking for Multi-agent Systems using HyperPCTL.

Spandan Das, Pavithra Prabhakar

CoRR, 2022

Stability Analysis of Planar Probabilistic Piecewise Constant Derivative Systems.

Spandan Das, Pavithra Prabhakar

Proceedings of the Quantitative Evaluation of Systems - 19th International Conference, 2022

2021

Probabilistic Stability Analysis of Planar Robots with Piecewise Constant Derivative Dynamics.

Spandan Das, Pavithra Prabhakar

CoRR, 2021

Receiving Messages in Their Correct Order: Analyzing Broadcast Protocols in Dynamic Epistemic Logics.

Spandan Das, Sujata Ghosh

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Automated Mapping of Real-world Oncology Laboratory Data to LOINC.

Jonathan Kelly, Chen Wang, Jianyi Zhang, Spandan Das, Anna Ren, Pradnya Warnekar

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021