Aakriti Kumar

15 papers A* 1B 3Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Practicing with Language Models Cultivates Human Empathic Communication.
CoRR
Aakriti Kumar, Nalin Poungpeth, Diyi Yang, Bruce Lambert, Matthew Groh
2025 A* conf
Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images.
CHI
Negar Kamali, Karyn Nakamura, Aakriti Kumar, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh
2025 J jnl
Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images.
CoRR
Negar Kamali, Karyn Nakamura, Aakriti Kumar, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh
2025 B conf
Seeing Things Differently: The Role of Differing Perspectives in Advice-Taking.
CogSci
Aakriti Kumar, Ren-Hui Michelle Tham, Mark Steyvers
2025 J jnl
What large language models know and what people think they know.
Nat. Mac. Intell.
Mark Steyvers, Heliodoro Tejeda Lemus, Aakriti Kumar, Catarina G. Belém, Sheer Karny, Xinyue Hu, Lukas William Mayer, Padhraic Smyth
2025 J jnl
When Large Language Models are Reliable for Judging Empathic Communication.
CoRR
Aakriti Kumar, Nalin Poungpeth, Diyi Yang, Erina Farrell, Bruce Lambert, Matthew Groh
2024 — —
Human Mental Models of Self, Others, and AI Agents
Aakriti Kumar
2024 J jnl
The Calibration Gap between Model and Human Confidence in Large Language Models.
CoRR
Mark Steyvers, Heliodoro Tejeda Lemus, Aakriti Kumar, Catarina G. Belém, Sheer Karny, Xinyue Hu, Lukas William Mayer, Padhraic Smyth
2023 — conf
Capturing Humans' Mental Models of AI: An Item Response Theory Approach.
FAccT
Markelle Kelly, Aakriti Kumar, Padhraic Smyth, Mark Steyvers
2023 J jnl
Capturing Humans' Mental Models of AI: An Item Response Theory Approach.
CoRR
Markelle Kelly, Aakriti Kumar, Padhraic Smyth, Mark Steyvers
2023 — conf
How Displaying AI Confidence Affects Reliance and Hybrid Human-AI Performance.
HHAI
Heliodoro Tejeda Lemus, Aakriti Kumar, Mark Steyvers
2023 — conf
When Do Drivers Intervene In Autonomous Driving?
HRI (Companion)
Aakriti Kumar, Kumar Akash, Shashank Mehrotra, Teruhisa Misu, Mark Steyvers
2022 — conf
An Empirical Investigation of Reliance on AI-Assistance in a Noisy-Image Classification Task.
HHAI
Heliodoro Tejeda Lemus, Aakriti Kumar, Mark Steyvers
2022 B conf
Meta-Learning of Dynamic Policy Adjustments in Inhibitory Control Tasks.
CogSci
Soumya Chatterjee, Aakriti Kumar, Pradeep Shenoy
2021 B conf
Explaining Algorithm Aversion with Metacognitive Bandits.
CogSci
Aakriti Kumar, Trisha Patel, Aaron S. Benjamin, Mark Steyvers