Jin Peng Zhou

Orcid: 0000-0001-8407-1110

According to our database¹, Jin Peng Zhou authored at least 31 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2025

Efficient Controllable Diffusion via Optimal Classifier Guidance.

[BibT_eX]

[DOI]

CoRR, May, 2025

Value-Guided Search for Efficient Chain-of-Thought Reasoning.

[BibT_eX]

[DOI]

CoRR, May, 2025

Pre-training Large Memory Language Models with Internal and External Knowledge.

[BibT_eX]

[DOI]

CoRR, May, 2025

INPROVF: Leveraging Large Language Models to Repair High-level Robot Controllers from Assumption Violations.

[BibT_eX]

[DOI]

CoRR, March, 2025

Q♯: Provably Optimal Distributional RL for LLM Post-Training.

[BibT_eX]

[DOI]

CoRR, February, 2025

Graders should cheat: privileged information enables expert-level automated evaluations.

[BibT_eX]

[DOI]

Jin Peng Zhou

Sébastien M. R. Arnold

CoRR, February, 2025

Learned-Database Systems Security.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

On Speeding Up Language Model Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Leveraging diffusion models for unsupervised out-of-distribution detection on image manifold.

[BibT_eX]

[DOI]

Zhenzhen Liu

Jin Peng Zhou

Kilian Q. Weinberger

Frontiers Artif. Intell., 2024

Enhancing Cognitive Diagnosis by Modeling Learner Cognitive Structure State.

[BibT_eX]

[DOI]

CoRR, 2024

Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks.

[BibT_eX]

[DOI]

CoRR, 2024

Gemma 2: Improving Open Language Models at a Practical Size.

[BibT_eX]

[DOI]

Christopher A. Choquette-Choo

Hanna Klimczak-Plucinska

CoRR, 2024

Orchestrating LLMs with Different Personalizations.

[BibT_eX]

[DOI]

CoRR, 2024

Code Repair with LLMs gives an Exploration-Exploitation Tradeoff.

[BibT_eX]

[DOI]

CoRR, 2024

Zero-shot Object-Level OOD Detection with Context-Aware Inpainting.

[BibT_eX]

[DOI]

CoRR, 2024

REFACTOR: Learning to Extract Theorems from Proofs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Don't Trust: Verify - Grounding LLM Quantitative Reasoning with Autoformalization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Magnushammer: A Transformer-Based Approach to Premise Selection.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Correction with Backtracking Reduces Hallucination in Summarization.

[BibT_eX]

[DOI]

CoRR, 2023

Magnushammer: A Transformer-based Approach to Premise Selection.

[BibT_eX]

[DOI]

CoRR, 2023

Unsupervised Out-of-Distribution Detection with Diffusion Inpainting.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Does Label Differential Privacy Prevent Label Inference Attacks?

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Learned Systems Security.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Bayesian Preference Elicitation with Keyphrase-Item Coembeddings for Interactive Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

2020

Not My Deepfake: Towards Plausible Deniability for Machine-Generated Media.

[BibT_eX]

[DOI]

CoRR, 2020

Noise Contrastive Estimation for Autoencoding-based One-Class Collaborative Filtering.

[BibT_eX]

[DOI]

CoRR, 2020

TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Predicting Twitter Engagement With Deep Language Models.

[BibT_eX]

[DOI]

Proceedings of the RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, 2020

2019

Incremental Association Rule Mining Based on Matrix Compression for Edge Computing.

[BibT_eX]

[DOI]

IEEE Access, 2019

Jin Peng Zhou

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