Yifan Wang

Orcid: 0009-0007-1400-0430

Affiliations:

Purdue University, West Lafayette, IN, USA

According to our database¹, Yifan Wang authored at least 11 papers between 2023 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Addressing Performance Saturation for LLM RL via Precise Entropy Curve Control.

[BibT_eX]

[DOI]

CoRR, April, 2026

Inference-Time Code Selection via Symbolic Equivalence Partitioning.

[BibT_eX]

[DOI]

CoRR, April, 2026

SARL: Label-Free Reinforcement Learning by Rewarding Reasoning Topology.

[BibT_eX]

[DOI]

CoRR, March, 2026

2025

LLMs Can Get "Brain Rot"!

[BibT_eX]

[DOI]

CoRR, October, 2025

DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning.

[BibT_eX]

[DOI]

CoRR, October, 2025

More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment.

[BibT_eX]

[DOI]

CoRR, April, 2025

From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Deconvolving Complex Neuronal Networks into Interpretable Task-Specific Connectomes.

[BibT_eX]

[DOI]

Yifan Wang

Ananth Grama

Vikram Ravindra

Proceedings of the 16th ACM International Conference on Bioinformatics, 2025

2024

Cascade Reward Sampling for Efficient Decoding-Time Alignment.

[BibT_eX]

[DOI]

CoRR, 2024

A Theory of Fault-Tolerant Learning.

[BibT_eX]

[DOI]

Changlong Wu

Yifan Wang

Ananth Grama

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Learning Functional Distributions with Private Labels.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Yifan Wang

Timeline

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Bibliography

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