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Author

Violet Xiang

Observed name: Xiang, Violet
Institution: Stanford University
ORCID: 0000-0002-1584-6231
Observed ORCID: 0000-0002-1584-6231
OpenAlex ID: A5023185054
The BabyView camera: Designing a new head-mounted camera to capture children’s early social and visual environments
2023 · Bria Long, Sarah Goodin, et al. · Behavior Research Methods · 20
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Learning the generative principles of a symbol system from limited examples
2020 · Lei Yuan, Violet Xiang, et al. · Cognition · 19
The BabyView dataset: High-resolution egocentric videos of infants’ and young children’s everyday experiences
2025 · Bria Lorelle Long, Robert Z. Sparks, et al. · Conference on Cognitive Computational Neuroscience (CCN) · 13
How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning?
2022 · Chengxu Zhuang, Violet Xiang, et al. · PubMed · 8
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How Well Do Contrastive Learning Algorithms Model Human Real-time and Life-long Learning?
2022 · Chengxu Zhuang, Violet Xiang, et al. · Conference on Cognitive Computational Neuroscience (CCN) · 6
ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code
2025 · Tianyu Hua, Harper Hua, et al. · neural information processing systems · 3
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The BabyView Camera: Designing a New Head-mounted Camera to Capture Children’s Early Social and Visual Environment
2022 · Bria Long, Sarah Goodin, et al. · 3
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought
2025 · Xiang, Violet, Snell, Charlie, et al. · arXiv (Cornell University) · 2
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Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models
2024 · Cross, Logan, Xiang, Violet, et al. · arXiv (Cornell University) · 2
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Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning
2025 · Xiang, Violet, Blagden, Chase, et al. · arXiv (Cornell University) · 1
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PetriBench: Benchmarking LLM Reasoning over Dynamic State Spaces
2026 · Koussios, Pyrros, Jäger, Benjamin, et al. · arXiv (Cornell University)
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ExpRL: Exploratory RL for LLM Mid-Training
2026 · Xiang, Violet, Setlur, Amrith, et al. · arXiv (Cornell University)
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LitBench: A Benchmark and Dataset for Reliable Evaluation of Creative Writing
2026 · Association for Computational Linguistics 2026, Fein, Daniel, et al. · Underline Science Inc.
One Bias After Another: Mechanistic Reward Shaping and Persistent Biases in Language Reward Models
2026 · Fein, Daniel, Lamparth, Max, et al. · arXiv (Cornell University)
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LitBench: A Benchmark and Dataset for Reliable Evaluation of Creative Writing
2026 · Daniel Fein, Sebastian Russo, et al. · Conference of the European Chapter of the Association for Computational Linguistics
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LitBench: A Benchmark and Dataset for Reliable Evaluation of Creative Writing
2025 · Fein, Daniel, Russo, Sebastian, et al. · arXiv (Cornell University)
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Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
2025 · Albalak, Alon, Phung, Duy, et al. · arXiv (Cornell University)
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From Centralized to Self-Supervised: Pursuing Realistic Multi-Agent Reinforcement Learning
2023 · Xiang, Violet, Cross, Logan, et al. · arXiv (Cornell University)
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Works count: 20
Citation count: 77
H-index: 5
I10-index: 3
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