Violet Xiang

According to our database, Violet Xiang authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

One Bias After Another: Mechanistic Reward Shaping and Persistent Biases in Language Reward Models.

Daniel Fein, Max Lamparth, Violet Xiang, Mykel J. Kochenderfer, Nick Haber

CoRR, March, 2026

LitBench: A Benchmark and Dataset for Reliable Evaluation of Creative Writing.

Daniel Fein, Sebastian Russo, Violet Xiang, Kabir Jolly, Rafael Rafailov, Nick Haber

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning.

Violet Xiang, Chase Blagden, Rafael Rafailov, Nathan Lile, Sang T. Truong, Chelsea Finn, Nick Haber

CoRR, June, 2025

Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models.

Alon Albalak, Duy Phung, Nathan Lile, Rafael Rafailov, Kanishk Gandhi, Louis Castricato, Anikait Singh, Chase Blagden, Violet Xiang, Dakota Mahan, Nick Haber

CoRR, February, 2025

Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought.

Violet Xiang, Charlie Snell, Kanishk Gandhi, Alon Albalak, Anikait Singh, Chase Blagden, Duy Phung, Rafael Rafailov, Nathan Lile, Dakota Mahan, Louis Castricato, Jan-Philipp Fränken, Nick Haber, Chelsea Finn

CoRR, January, 2025

ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code.

Tianyu Hua, Harper Hua, Violet Xiang, Benjamin Klieger, Sang T. Truong, Weixin Liang, Fan-Yun Sun, Nick Haber

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models.

Logan Matthew Cross, Violet Xiang, Agam Bhatia, Daniel L. K. Yamins, Nick Haber

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

The BabyView dataset: High-resolution egocentric videos of infants' and young children's everyday experiences.

Bria Long, Violet Xiang, Stefan Stojanov, Robert Z. Sparks, Zi Yin, Grace E. Keene, Alvin Wei Ming Tan, Steven Y. Feng, Chengxu Zhuang, Virginia A. Marchman, Daniel L. K. Yamins, Michael C. Frank

CoRR, 2024

Animate Agent World Modeling Benchmark.

Logan Matthew Cross, Violet Xiang, Nick Haber, Daniel Yamins

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2023

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

Violet Xiang, Logan Matthew Cross, Jan-Philipp Fränken, Nick Haber

CoRR, 2023