Nathan Lambert
11 papers · 2020–2025 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (27) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Keyword Pioneer
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Mega-Team · Legion
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Conference Pioneer
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Prolific Year · Productive
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Century Club · Bronze
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Keyword Collector
(71)
Top co-authors
Research topics
Artificial Intelligence
(8)
Core AI
(8)
Machine Learning
(7)
Deep Learning
(5)
Natural Language Processing
(5)
Learning Types · Machine Learning
(4)
Resources & Methods
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Reinforcement Learning
(3)
Application Areas
(3)
Models
(3)
Generation
(2)
Learning Types · Deep Learning
(2)
Applications · Natural Language Processing
(1)
Applications · Reinforcement Learning
(1)
Core Methods
(1)
Keywords
large language model
(3)
reward model
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reinforcement learning from human feedback
(2)
model-based reinforcement learning
(2)
language model
(2)
preference learning
(1)
visual question answering
(1)
benchmark evaluation
(1)
language modeling
(1)
model evaluation
(1)
preference optimization
(1)
multimodal learning
(1)
image captioning
(1)
corpus construction
(1)
hyperparameter optimization
(1)
language model alignment
(1)
web corpus
(1)
multilingual nlp
(1)
neural network optimization
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intent classification
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Papers
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
CVPR 2025
M-RewardBench: Evaluating Reward Models in Multilingual Settings
ACL 2025
OLMoE: Open Mixture-of-Experts Language Models
ICLR 2025
RewardBench: Evaluating Reward Models for Language Modeling
NAACL 2025
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
ACL 2024
OLMo: Accelerating the Science of Language Models
ACL 2024
Position: Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback
ICML 2024
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback
NeurIPS 2024
WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs
NeurIPS 2024
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
AISTATS 2021
Objective Mismatch in Model-based Reinforcement Learning
L4DC 2020