Surya Kasturi
Posts
Projects
- How Far Can One Example Go?
Reinforcement Learning Across Logic, Math, and Language, Sundai Club, Jun 2025
Can reinforcement
learning on a single high-variance summarization example improve performance on other, unseen instances within the
same domain?
- Schema guided dialog state tracking, DSTC8, AAAI
2020
Developed dialogue state tracking models suitable for large-scale virtual assistants, with a focus on
data-efficient joint modeling across domains and zero-shot generalization to new APIs.
- Synthetic dataset for document visual question
answering, Apr 2020
Developed a synthetic Visual Question Answering (VQA) dataset from existing
Question Answering (QA) datasets to evaluate the cross-modality generalization capabilities of models.
- Machine Reading Comprehension,
Dec 2019
Optimized Machine Reading Comprehension models on SQuAD, CoQA, and ShARC by analyzing and mitigating
the impact of entity-type sampling bias leading to significant performance gains. Top results from PAII Labs/Gamma
Lab on SQuAD.
- Knowledge-grounded conversation
modeling, DSTC7, AAAI 2019
Trained BERT and Memory Networks to generate contextually rich responses by
conditioning on conversation history and Wikipedia facts, with performance significantly boosted by normalizing
special characters in the Reddit dataset. Top results in the competition.
- Synthetic generation of MNIST style
dataset using Google Fonts, Jun 2018
Developed a synthetic MNIST style dataset using Google Fonts to
measure out of distribution performance of convolutional neural nets
- Knowledge distillation of time series forecast models,
Aug 2017
Developed deep neural net models for forecasting and detecting anomalies in chiller plants
performance using real-time sensors
Open source
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