DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research Paper • 2511.19399 • Published 11 days ago • 54
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens Paper • 2504.07096 • Published Apr 9 • 76
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens Paper • 2504.07096 • Published Apr 9 • 76
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens Paper • 2504.07096 • Published Apr 9 • 76
Confidence-Building Measures for Artificial Intelligence: Workshop Proceedings Paper • 2308.00862 • Published Aug 1, 2023
D2PO: Discriminator-Guided DPO with Response Evaluation Models Paper • 2405.01511 • Published May 2, 2024
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback Paper • 2406.09279 • Published Jun 13, 2024 • 3
WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs Paper • 2406.18495 • Published Jun 26, 2024 • 13
Towards a Framework for Openness in Foundation Models: Proceedings from the Columbia Convening on Openness in Artificial Intelligence Paper • 2405.15802 • Published May 17, 2024
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models Paper • 2409.17146 • Published Sep 25, 2024 • 121
RouterRetriever: Exploring the Benefits of Routing over Multiple Expert Embedding Models Paper • 2409.02685 • Published Sep 4, 2024 • 1
Establishing Task Scaling Laws via Compute-Efficient Model Ladders Paper • 2412.04403 • Published Dec 5, 2024 • 3
TÜLU 3: Pushing Frontiers in Open Language Model Post-Training Paper • 2411.15124 • Published Nov 22, 2024 • 67
TÜLU 3: Pushing Frontiers in Open Language Model Post-Training Paper • 2411.15124 • Published Nov 22, 2024 • 67
TÜLU 3: Pushing Frontiers in Open Language Model Post-Training Paper • 2411.15124 • Published Nov 22, 2024 • 67