Megha Srivastava

32 papers A* 10Misc 1Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hawkeye: Reproducing GPU-Level Non-Determinism.
CoRR
Erez Badash, Dan Boneh, Ilan Komargodski, Megha Srivastava
2026 J jnl
Policy Learning with a Language Bottleneck.
Trans. Mach. Learn. Res.
Megha Srivastava, Cédric Colas, Dorsa Sadigh, Jacob Andreas
2026 J jnl
Training large language models on narrow tasks can lead to broad misalignment.
Nat.
Jan Betley, Niels Warncke, Anna Sztyber-Betley, Daniel Tan, Xuchan Bao, Martín Soto, Megha Srivastava, Nathan Labenz
2025 J jnl
Modeling Student Learning with 3.8 Million Program Traces.
CoRR
Alexis Ross, Megha Srivastava, Jeremiah J. Blanchard, Jacob Andreas
2025 A* conf
Robotics for Personalized Motor Skills Instruction.
HRI
Megha Srivastava
2025 A* conf
Shared Autonomy for Proximal Teaching.
HRI
Megha Srivastava, Reihaneh Iranmanesh, Yuchen Cui, Deepak Edakkattil Gopinath, Emily Sarah Sumner, Andrew Silva, Laporsha Dees, Guy Rosman, Dorsa Sadigh
2025 J jnl
Shared Autonomy for Proximal Teaching.
CoRR
Megha Srivastava, Reihaneh Iranmanesh, Yuchen Cui, Deepak Edakkattil Gopinath, Emily Sumner, Andrew Silva, Laporsha Dees, Guy Rosman, Dorsa Sadigh
2024 J jnl
Machine learning for modular multiplication.
CoRR
Kristin E. Lauter, Cathy Yuanchen Li, Krystal Maughan, Rachel Newton, Megha Srivastava
2024 A* conf
Optimistic Verifiable Training by Controlling Hardware Nondeterminism.
NeurIPS
Megha Srivastava, Simran Arora, Dan Boneh
2024 J jnl
Optimistic Verifiable Training by Controlling Hardware Nondeterminism.
CoRR
Megha Srivastava, Simran Arora, Dan Boneh
2024 J jnl
Policy Learning with a Language Bottleneck.
CoRR
Megha Srivastava, Cédric Colas, Dorsa Sadigh, Jacob Andreas
2023 A* conf
Do Users Write More Insecure Code with AI Assistants?
CCS
Neil Perry, Megha Srivastava, Deepak Kumar, Dan Boneh
2023 J jnl
Evaluating Human-Language Model Interaction.
Trans. Mach. Learn. Res.
Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang
2023 A* conf
Generating Language Corrections for Teaching Physical Control Tasks.
ICML
Megha Srivastava, Noah D. Goodman, Dorsa Sadigh
2023 J jnl
Generating Language Corrections for Teaching Physical Control Tasks.
CoRR
Megha Srivastava, Noah D. Goodman, Dorsa Sadigh
2022 A* conf
Assistive Teaching of Motor Control Tasks to Humans.
NeurIPS
Megha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah D. Goodman, Dorsa Sadigh
2022 J jnl
Assistive Teaching of Motor Control Tasks to Humans.
CoRR
Megha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah D. Goodman, Dorsa Sadigh
2022 J jnl
Do Users Write More Insecure Code with AI Assistants?
CoRR
Neil Perry, Megha Srivastava, Deepak Kumar, Dan Boneh
2022 J jnl
Evaluating Human-Language Model Interaction.
CoRR
Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang
2021 Misc conf
LILA: Language-Informed Latent Actions.
CoRL
Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh
2021 J jnl
LILA: Language-Informed Latent Actions.
CoRR
Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh
2021 — conf
Question Generation for Adaptive Education.
ACL/IJCNLP (2)
Megha Srivastava, Noah D. Goodman
2021 J jnl
Question Generation for Adaptive Education.
CoRR
Megha Srivastava, Noah D. Goodman
2020 A* conf
An Empirical Analysis of Backward Compatibility in Machine Learning Systems.
KDD
Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz
2020 J jnl
An Empirical Analysis of Backward Compatibility in Machine Learning Systems.
CoRR
Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz
2020 A* conf
Robustness to Spurious Correlations via Human Annotations.
ICML
Megha Srivastava, Tatsunori B. Hashimoto, Percy Liang
2020 J jnl
Robustness to Spurious Correlations via Human Annotations.
CoRR
Megha Srivastava, Tatsunori B. Hashimoto, Percy Liang
2019 A* conf
Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning.
KDD
Megha Srivastava, Hoda Heidari, Andreas Krause
2019 J jnl
Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning.
CoRR
Megha Srivastava, Hoda Heidari, Andreas Krause
2018 A* conf
Fairness Without Demographics in Repeated Loss Minimization.
ICML
Tatsunori B. Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang
2018 J jnl
Fairness Without Demographics in Repeated Loss Minimization.
CoRR
Tatsunori B. Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang
2018 J jnl
The Effect of Learning Strategy versus Inherent Architecture Properties on the Ability of Convolutional Neural Networks to Develop Transformation Invariance.
CoRR
Megha Srivastava, Kalanit Grill-Spector