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Nathan Lambert — most-cited papers & profile · Large Language Models
← authors
·
overview
Nathan Lambert
25
papers ·
728
citations ·
13
h-index
Google Scholar ↗
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Most-cited papers
Zephyr: Direct Distillation Of LM Alignment
2023 · 573 citations
The Alignment Ceiling: Objective Mismatch In Reinforcement Learning From Human Feedback
2023 · 46 citations
WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs
2024 · 7 citations
Tmax: A simple recipe for terminal agents
2026
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
2023
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
2024
OLMoE: Open Mixture-of-Experts Language Models
2024
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
2024
TÜLU 3: Pushing Frontiers in Open Language Model Post-Training
2024
Top co-authors
Hannaneh Hajishirzi
· 6
Noah A. Smith
· 5
Luca Soldaini
· 4
Dirk Groeneveld
· 3
Hamish Ivison
· 3
Jacob Morrison
· 3
Kyle Lo
· 3
Niklas Muennighoff
· 3
Oyvind Tafjord
· 3
Pete Walsh
· 3
Akshita Bhagia
· 2
Ali Farhadi
· 2
Topics
Training Techniques
Evaluation
Code
Fine-Tuning
Safety & Alignment
Vision-Language
Reinforcement Learning
RAG
Model Architecture
In-Context Learning