Snorkel at ICLR 2026
Join Snorkel at ICLR 2026, the leading conference on representation learning, bringing together researchers and practitioners shaping the future of AI.
Rio de Janeiro, Brazil
April 23-27, 2026
// proud sponsors
Data Foundations AI Gathering at ICLR 2026
Rio de Janeiro, Brazil
Saturday, April 25
Join us for a relaxed evening with people working on the data side of AI, hosted by the Data Foundations of AI (DFAI) Community and sponsored by Snorkel AI.
If you’re attending ICLR and care about (i) scientific understanding of training data, (ii) data-centric algorithms, (iii) data and society (economy, governance, etc), and (iv) science of benchmarks and evaluation, this is a great chance to connect over snacks and easy conversation.
Featured conference papers
Research Paper
RIFT: A Rubric Failure Mode Taxonomy and Automated Diagnostics
RIFT introduces a taxonomy of eight failure modes across reliability, content validity, and consequential validity to systematically diagnose how rubric design fails in LLM evaluation, enabling both human and automated identification of rubric quality issues.
Accepted to the DATA-FM workshop.
↳ Read the full paper
Research paper
OR-LLM-Bench: A Pipeline for Scalable and Verifiable Text-to-Optimization Synthesis
↳ Read the full paper
Research paper
LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild
↳ Read the full paper
Research paper
Tabby: A Language Model Architecture for Tabular and Structured Data Synthesis
↳ Read the full paper
Find us at these workshops
Workshop
DATA-FM: Navigating and Addressing Data Problems for Foundation Models
April 26, 2026
A workshop dedicated to the data problems shaping foundation models, from data curation and attribution to synthetic data, evaluation, and governance. Join researchers and practitioners exploring how better data practices can improve the next generation of AI systems.
Speaker
Fred Sala
Chief Scientist, Snorkel
Workshop
World Models: Understanding, Modelling and Scaling
A workshop focused on world models — AI systems that learn to simulate and understand complex environments. Discussions span knowledge extraction, large-scale training and evaluation, multimodal scaling across language and vision, and applications in robotics, science, and real-world decision-making.
Speaker
Fred Sala
Chief Scientist, Snorkel
April 27, 2026
↳ Learn more
Workshop
Memory for LLM-Based Agentic Systems (MemAgents)
A workshop focused on the memory systems that power agentic AI, from episodic and semantic memory architectures to retrieval pipelines and long-horizon evaluation. Sessions explore how agents encode experience, consolidate knowledge, and learn across interactions.
Speaker
Fred Sala
Chief Scientist, Snorkel
April 27, 2026
↳ Learn more
Workshop
Advances in Financial AI Workshop: Towards Agentic and Responsible Systems
A workshop focused on agentic AI in financial systems, exploring autonomous agents, multi-agent interactions, and decision-making under real-world constraints. Sessions highlight advances in financial AI alongside the ethical, regulatory, and robustness challenges of deploying AI in high-stakes markets.
Speaker
Vincent Sunn Chen
Research Fellow / Founding Team, Snorkel
April 27, 2026
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Workshop
Multi-Agent Learning and Its Opportunities in the Era of Generative AI
A workshop focused on the emerging intersection of multi-agent learning and generative AI, from LLM-based agent systems to real-world distributed coordination and human-AI collaboration. Discussions explore new frameworks for agent cooperation, learning, and decision-making in complex environments.
Speaker
Vincent Sunn Chen
Research Fellow / Founding Team, Snorkel
April 27, 2026
↳ Learn more
Meet our team on-site
Fred Sala
Chief Scientist
Vincent Sunn Chen
Research Fellow / Founding Team
Matt Holek
Enterprise Advocate
Incynthia Truong
Community Manager