OmniRetrieval: Unified Retrieval across Heterogeneous Knowledge Sources Paper • 2605.29250 • Published 21 days ago • 76
Running on CPU Upgrade Featured 3.21k The Smol Training Playbook 📚 3.21k The secrets to building world-class LLMs
LayoutLM Collection The LayoutLM series are Transformer encoders useful for document AI tasks such as invoice parsing, document image classification and DocVQA. • 6 items • Updated May 1, 2025 • 20
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality Paper • 2405.21060 • Published May 31, 2024 • 68
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning Paper • 2406.00392 • Published Jun 1, 2024 • 14
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback Paper • 2406.00888 • Published Jun 2, 2024 • 33
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark Paper • 2406.01574 • Published Jun 3, 2024 • 55