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Explore our complete library of resources including blogs, benchmarks, research papers and more.
Blog
Evaluating Coding Agent Capabilities with Terminal-Bench: Snorkel’s Role in Building the Next Generation Benchmark
Announcing a $3M commitment to launch Open Benchmarks Grants
September 30, 2025
Blog
Closing the Evaluation Gap in Agentic AI
Announcing a $3M commitment to launch Open Benchmarks Grants
February 11, 2026
Blog
Benchtalks #1: Alex Shaw (Terminal-Bench, Harbor) – Building the Benchmark Factory
Announcing a $3M commitment to launch Open Benchmarks Grants
March 31, 2026
Blog
Building FinQA: An Open RL Environment for Financial Reasoning Agents
Announcing a $3M commitment to launch Open Benchmarks Grants
March 30, 2026
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Swellshark: A Generative Model for Biomedical Named Entity Recognition Without Labeled Data
Introducing SwellShark, a framework for building biomedical named entity recognition (NER) systems quickly.
Research Paper
Swellshark: A Generative Model for Biomedical Named Entity Recognition Without Labeled Data
Introducing SwellShark, a framework for building biomedical named entity recognition (NER) systems quickly.
Socratic Learning: Augmenting Generative Models to Incorporate Latent Subsets in Training Data
Introducing Socratic learning, a paradigm that uses feedback from a discriminative model to automatically identify latent data subsets in training data.
Research Paper
Socratic Learning: Augmenting Generative Models to Incorporate Latent Subsets in Training Data
Introducing Socratic learning, a paradigm that uses feedback from a discriminative model to automatically identify latent data subsets in training data.
Snorkel: Rapid Training Data Creation With Weak Supervision
This paper presents a flexible interface layer to write labeling functions based on experience.
Research Paper
Snorkel: Rapid Training Data Creation With Weak Supervision
This paper presents a flexible interface layer to write labeling functions based on experience.
Data Programming: Creating Large Training Sets, Quickly
A paradigm for labeling training datasets programmatically rather than by hand.
Research Paper
Data Programming: Creating Large Training Sets, Quickly
A paradigm for labeling training datasets programmatically rather than by hand.
Data Programming With DDLite: Putting Humans in a Different Part of the Loop
Introducing DDLite, an interactive development framework for data programming.
Research Paper
Data Programming With DDLite: Putting Humans in a Different Part of the Loop
Introducing DDLite, an interactive development framework for data programming.
