Nick Haber

Nick Haber

Stanford University

H-index: 26

North America-United States

About Nick Haber

Nick Haber, With an exceptional h-index of 26 and a recent h-index of 25 (since 2020), a distinguished researcher at Stanford University, specializes in the field of artificial intelligence, curiosity, active learning, interactive learning, reinforcement learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Discovering Players’ Problem-Solving Behavioral Characteristics in a Puzzle Game through Sequence Mining

Math IDE: A Platform for Creating with Math

Quiet-star: Language models can teach themselves to think before speaking

Holodeck: Language Guided Generation of 3D Embodied AI Environments

Examining the potential and pitfalls of chatgpt in science and engineering problem-solving

Partial-View Object View Synthesis via Filtered Inversion

Reinforcement learning models of tradeoffs between infant attachment and curiosity

Parsel????: Algorithmic Reasoning with Language Models by Composing Decompositions

Nick Haber Information

University

Position

Assistant Professor

Citations(all)

2485

Citations(since 2020)

2307

Cited By

850

hIndex(all)

26

hIndex(since 2020)

25

i10Index(all)

39

i10Index(since 2020)

37

Email

University Profile Page

Google Scholar

Nick Haber Skills & Research Interests

artificial intelligence

curiosity

active learning

interactive learning

reinforcement learning

Top articles of Nick Haber

Discovering Players’ Problem-Solving Behavioral Characteristics in a Puzzle Game through Sequence Mining

2024/3/18

Math IDE: A Platform for Creating with Math

2024/3/14

Quiet-star: Language models can teach themselves to think before speaking

arXiv preprint arXiv:2403.09629

2024/3/14

Eric Zelikman
Eric Zelikman

H-Index: 2

Nick Haber
Nick Haber

H-Index: 16

Examining the potential and pitfalls of chatgpt in science and engineering problem-solving

Frontiers in Education

2024/1/18

Reinforcement learning models of tradeoffs between infant attachment and curiosity

Proceedings of the Annual Meeting of the Cognitive Science Society

2023

Michael Frank
Michael Frank

H-Index: 12

Nick Haber
Nick Haber

H-Index: 16

Parsel????: Algorithmic Reasoning with Language Models by Composing Decompositions

Advances in Neural Information Processing Systems

2023/12/15

From Centralized to Self-Supervised: Pursuing Realistic Multi-Agent Reinforcement Learning

arXiv preprint arXiv:2312.08662

2023/12/14

Violet Xiang
Violet Xiang

H-Index: 1

Nick Haber
Nick Haber

H-Index: 16

Neurobehavior of exploring AI agents

2023/11/30

Intrinsically Motivated Social Play in Virtual Infants

2023/11/30

Generating and evaluating tests for k-12 students with language model simulations: A case study on sentence reading efficiency

arXiv preprint arXiv:2310.06837

2023/10/10

ContextRef: Evaluating Referenceless Metrics For Image Description Generation

arXiv preprint arXiv:2309.11710

2023/9/21

Hypothesis search: Inductive reasoning with language models

arXiv preprint arXiv:2309.05660

2023/9/11

Binding the person-specific approach to modern AI in the human screenome project: moving past generalizability to transferability

Multivariate Behavioral Research

2023/6/28

Curious replay for model-based adaptation

arXiv preprint arXiv:2306.15934

2023/6/28

Tingets 2.0: Computer Vision-Powered Interactive Social and Emotional Learning Tool

2023/6/23

Nick Haber
Nick Haber

H-Index: 16

Just one byte (per gradient): A note on low-bandwidth decentralized language model finetuning using shared randomness

arXiv preprint arXiv:2306.10015

2023/6/16

Developmental Curiosity and Social Interaction in Virtual Agents

arXiv preprint arXiv:2305.13396

2023/5/22

Chris Doyle
Chris Doyle

H-Index: 3

Nick Haber
Nick Haber

H-Index: 16

Interaction modeling with multiplex attention

Advances in Neural Information Processing Systems

2022/12/6

See List of Professors in Nick Haber University(Stanford University)