On the Theoretical Limitations of Embedding-Based Retrieval
Paper • 2508.21038 • Published • 21
Papers
-
-
Persona Vectors: Monitoring and Controlling Character Traits in Language Models
Paper • 2507.21509 • Published • 34 -
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 200 -
Introduction to Multi-Armed Bandits
Paper • 1904.07272 • Published -
Instruction-Following Evaluation for Large Language Models
Paper • 2311.07911 • Published • 22 -
The Smol Training Playbook
📚3.22kThe secrets to building world-class LLMs
-
Measuring Agents in Production
Paper • 2512.04123 • Published • 2 -
FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents
Paper • 2504.13128 • Published • 7 -
Prompting Science Report 4: Playing Pretend: Expert Personas Don't Improve Factual Accuracy
Paper • 2512.05858 • Published -
Clio: Privacy-Preserving Insights into Real-World AI Use
Paper • 2412.13678 • Published • 1 -
Data Agents: Levels, State of the Art, and Open Problems
Paper • 2602.04261 • Published -
Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?
Paper • 2602.11988 • Published • 4 -
Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering
Paper • 2601.14470 • Published • 1 -
Memory in the Age of AI Agents
Paper • 2512.13564 • Published • 160