Pradeep Dasigi

Meta-Reinforcement Learning with Self-Reflection for Agentic Search

arXiv 2026

Olmo 3

arXiv 2025

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

arXiv 2025

Large-Scale Data Selection for Instruction Tuning

arXiv 2025

2 OLMo 2 Furious

arXiv 2024

Tulu 3: Pushing Frontiers in Open Language Model Post-Training

preprint

OLMo: Accelerating the Science of Language Models

arXiv 2024

Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback

arXiv 2024

HREF: Human Response-Guided Evaluation of Instruction Following in Language Models

arXiv 2024

Scalable Data Ablation Approximations for Language Models through Modular Training and Merging

arXiv 2024

TRAM: Bridging Trust Regions and Sharpness Aware Minimization

arXiv 2023

Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets

arXiv 2022

A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

NAACL 2021 4

Hannaneh Hajishirzi

professor

Faeze Brahman

researcher

Hamish Ivison

grad-student

Noah A. Smith

Luca Soldaini

Nathan Lambert

researcher

Valentina Pyatkin

research-scientist

Jacob Morrison

research-engineer

Kyle Lo

Lester James V. Miranda