Jacob Hilton
7 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
👥
Mega-Team · Squad
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Reinforcement Learning
(5)
Methods
(5)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Core AI
(4)
Deep Learning
(3)
Natural Language Processing
(3)
Learning Types · Machine Learning
(3)
Generation
(2)
Learning Types · Deep Learning
(2)
Application Areas
(1)
Applications · Natural Language Processing
(1)
Applications · Reinforcement Learning
(1)
Architectures
(1)
Keywords
reinforcement learning
(3)
reward model
(2)
reinforcement learning from human feedback
(2)
language model
(2)
sample efficiency
(2)
falsehood detection
(1)
adversarial training
(1)
instruction following
(1)
language model alignment
(1)
model alignment
(1)
importance sampling
(1)
value function
(1)
worst-case performance
(1)
off-policy learning
(1)
human feedback
(1)
synthetic data
(1)
scaling law
(1)
supervised fine-tuning
(1)
proximal policy optimization
(1)
on-policy learning
(1)
Papers
Estimating the Probabilities of Rare Outputs in Language Models
ICLR 2025
Scaling Laws for Reward Model Overoptimization
ICML 2023
Batch size-invariance for policy optimization
NeurIPS 2022
Training language models to follow instructions with human feedback
NeurIPS 2022
TruthfulQA: Measuring How Models Mimic Human Falsehoods
ACL 2022
Phasic Policy Gradient
ICML 2021
Leveraging Procedural Generation to Benchmark Reinforcement Learning
ICML 2020