Jin Peng Zhou
12 papers · 2023–2026 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (18) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (5)
π
Renaissance Researcher
(6)
π
Grand Slam
π
Century Club
(11)
β
The Questioner
Conferences
ICLR (6)
AAAI (1)
AISTATS (1)
EMNLP (1)
ICML (1)
NIPS (1)
WACV (1)
Top co-authors
Research topics
Keywords
out-of-distribution detection
(2)
generative model
(2)
large language model
(2)
reward modeling
(1)
anomaly detection
(1)
text classification
(1)
object detection
(1)
model evaluation
(1)
item response theory
(1)
program synthesis
(1)
llm evaluation
(1)
exploration-exploitation tradeoff
(1)
privacy preserving
(1)
privileged information
(1)
thompson sampling
(1)
image inpainting
(1)
multi-armed bandit
(1)
diffusion model
(1)
language model
(1)
label inference attack
(1)
Papers
Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting
WACV 2026
K-12EduBench: A Benchmark for Evaluating Large Language Modelsβ Knowledge, Problem-Solving, and Educational Goal Cognition in K-12 Education
AAAI 2026
Graders Should Cheat: Privileged Information Enables Expert-Level Automated Evaluations
EMNLP 2025
On Speeding Up Language Model Evaluation
ICLR 2025
Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond
ICLR 2025
Magnushammer: A Transformer-Based Approach to Premise Selection
ICLR 2024
REFACTOR: Learning to Extract Theorems from Proofs
ICLR 2024
Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization
ICLR 2024
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff
NIPS 2024
Unsupervised Out-of-Distribution Detection with Diffusion Inpainting
ICML 2023
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs
ICLR 2023
Does Label Differential Privacy Prevent Label Inference Attacks?
AISTATS 2023