Nick Haber
Assistant Professor of Education
Builds curiosity-driven and interactive learning agents with reinforcement learning, and AI tools that support human learning.
Nick Haber's lab at Stanford works on reinforcement learning, language & society and learning & education technology. 38 papers since 2023, 17 at top venues, mostly NeurIPS and ICLR. 6 PhD students and 2 master's students. Applications close .
At a glance
- papers, 2023–2026
- 10/ year
- at T1 venues
- 45%
- PhD students
- 6
- MS students
- 2
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 0 · collecting
- 15 papers2025 · T1 8
- 12 papers2024 · T1 6
- 7 papers2023 · T1 3
T1 venuesOtherVenues: NeurIPS, ICLR, 3DV, CVPR, EMNLP
Research focuspaper titles that use each topic's words
- Language & society10 papers
- Learning & education technology9 papers
- Reinforcement learning8 papers
- learning agents0 papers
- human learning0 papers
Paper list
From DBLP.
20264 papers
- 3DV3D-GENERALIST: Vision-Language-Action Models for Crafting 3D Worlds (opens in a new tab)
- FAccTCharacterizing Delusional Spirals through Human-LLM Chat Logs (opens in a new tab)
- EACLLitBench: A Benchmark and Dataset for Reliable Evaluation of Creative Writing (opens in a new tab)
- BEAPredicting Item Difficulty and Generating Reading Comprehension Items via an Annotated Repository (opens in a new tab)
202515 papers
- AIEDCogGen: A Learner-Centered Generative AI Architecture for Intelligent Tutoring with Programming Videos (opens in a new tab)
- CogSciDo Large Language Models Have a Planning Theory of Mind? Evidence from MindGames: a Multi-Step Persuasion Task (opens in a new tab)
- FAccTExpressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers (opens in a new tab)
- NeurIPS (T1)Fantastic Bugs and Where to Find Them in AI Benchmarks (opens in a new tab)
- NeurIPS (T1)From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review (opens in a new tab)
- ICLR (T1)Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models (opens in a new tab)
- CVPR (T1)LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models (opens in a new tab)
- CHI Extended AbstractsMedia Content Atlas: A Pipeline to Explore and Investigate Multidimensional Media Space using Multimodal LLMs (opens in a new tab)
- NeurIPS (T1)ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code (opens in a new tab)
- EDUCONScaffold or Crutch? Examining College Students' Use and Views of Generative AI Tools for STEM Education (opens in a new tab)
- CogSciSimulating variation in infant-caregiver attachment using reinforcement learning (opens in a new tab)
- ACL (T1)Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images (opens in a new tab)
202412 papers
- CogSciAnimate Agent World Modeling Benchmark (opens in a new tab)
- ICLR (T1)ContextRef: Evaluating Referenceless Metrics for Image Description Generation (opens in a new tab)
- LAKDiscovering Players' Problem-Solving Behavioral Characteristics in a Puzzle Game through Sequence Mining (opens in a new tab)
- NeurIPS (T1)FactorSim: Generative Simulation via Factorized Representation (opens in a new tab)
- CVPR (T1)Holodeck: Language Guided Generation of 3D Embodied AI Environments (opens in a new tab)
- ICLR (T1)Hypothesis Search: Inductive Reasoning with Language Models (opens in a new tab)
- NeurIPS (T1)Learning Formal Mathematics From Intrinsic Motivation (opens in a new tab)
- SIGCSEMath IDE: A Platform for Creating with Math (opens in a new tab)
- CogSciModeling Social Learning Through Demonstration in Multi-Armed Bandits (opens in a new tab)
- 3DVPartial-View Object View Synthesis via Filtering Inversion (opens in a new tab)
- NeurIPS (T1)Policy-shaped prediction: avoiding distractions in model-based reinforcement learning (opens in a new tab)
- CogSciSimulating Infants' Attachment: Behavioral Patterns of Caregiver Proximity Seeking and Environment Exploration Using Reinforcement Learning Models (opens in a new tab)
20237 papers
- EDMCharacterizing Learning Progress of Problem-Solvers Using Puzzle-Solving Log Data (opens in a new tab)
- ICML (T1)Curious Replay for Model-based Adaptation (opens in a new tab)
- CogSciDevelopmental Curiosity and Social Interaction in Virtual Agents (opens in a new tab)
- EMNLP (T1)Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency (opens in a new tab)
- CogSciMeasuring and Modeling Physical Intrinsic Motivation (opens in a new tab)
- NeurIPS (T1)Parsel🦆: Algorithmic Reasoning with Language Models by Composing Decompositions (opens in a new tab)
- LDTTingets 2.0: Computer Vision-Powered Interactive Social and Emotional Learning Tool (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to StanfordFall 2027
Stanford Computer Science PhD
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- English
- TOEFL/IELTS
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