Yifan Zhang

Orcid: 0009-0004-1493-141X

Affiliations:
  • Princeton University, Princeton, NJ, USA


According to our database1, Yifan Zhang authored at least 23 papers between 2022 and 2025.

Collaborative distances:

Timeline

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Bibliography

2025
Group Representational Position Encoding.
CoRR, December, 2025

On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning.
CoRR, May, 2025

Cumulative Reasoning with Large Language Models.
Trans. Mach. Learn. Res., 2025

Tensor Product Attention Is All You Need.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Augmenting Math Word Problems via Iterative Question Composing.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series.
ACM Trans. Knowl. Discov. Data, June, 2024

Scaling Image Tokenizers with Grouped Spherical Quantization.
CoRR, 2024

Training and Evaluating Language Models with Template-based Data Generation.
CoRR, 2024

General Preference Modeling with Preference Representations for Aligning Language Models.
CoRR, 2024

On the Diagram of Thought.
CoRR, 2024

AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts.
CoRR, 2024

Matrix Information Theory for Self-Supervised Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Information Flow in Self-Supervised Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Contrastive Learning is Spectral Clustering on Similarity Graph.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Coded Real Number Matrix Multiplication for On-Device Edge Computing.
IEEE Signal Process. Lett., 2023

Meta Prompting for AGI Systems.
CoRR, 2023

Kernel-SSL: Kernel KL Divergence for Self-Supervised Learning.
CoRR, 2023

RelationMatch: Matching In-batch Relationships for Semi-supervised Learning.
CoRR, 2023

SEAL: Simultaneous Label Hierarchy Exploration And Learning.
CoRR, 2023

Trade-off Between Efficiency and Consistency for Removal-based Explanations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Consistent and Truthful Interpretation with Fourier Analysis.
CoRR, 2022


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