Five Raters, One Rule, Five Different Answers: What Happened When We Measured LLM Annotation Agreement
leventbulut
• • 1NEW Articles from Team or Enterprise organizations will get promoted to the main section.
SeamFlow: Artist-Like UV Unwrapping with Edge-Probability Flow Matching
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• Fast memory, slow weights: how a production agent system improves around the model, and the model itself
pavle-scalably
• • 1Inside the JEV Ecosystem: 13 Answer Verifiers on One Test Set
mayafree
• • 12Hello Everyone! (Business Owner)
spacesj
• Can an old document undo a memory update?
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• What a 61M-Parameter CTC Model Can and Cannot Learn
mohammedaly22
• • 1Introducing jev-reranker: Reranking and Relevance Filtering for RAG
hotchpotch
• • 4Quantisation and the Safety Direction of Decisions
AmberTraceLabs
• Prefix cache, not throughput: 14 days serving Qwen3.8-27B NVFP4 to production agents on two RTX 5090s
pavle-scalably
• Layer-Feedback Transformer (LFT)
Banaxi-Tech
• • 5Governed Agent Memory with Structured Judgment: An AtMem–Jev Retrieval Study
javadtaghia
• From Coding Agents to Physical Agents: Code as a New Interface Between AI and the Physical World
kkakkkka
• • 3Optimum-Intel v2.2.0 & OpenVINO GenAI 2026.4.0: What's New
echarlaix
• • 8Faithfulness of Stated Reasoning Under Verifiable-Reward RL
AmberTraceLabs
• The Direction of Error in Open-Weight Decision Models
AmberTraceLabs
• Verifiable Rewards Beyond Maths and Code
AmberTraceLabs
• The API-to-Agent Shift: How Software Integration Is Changing
prismberry-technologies
• BananaMind 2 Pro: We've (almost) matched SmolLM2 at 20x fewer tokens... Trained On a 5070 Ti
Banaxi-Tech
• • 6When Benchmark Numbers Become Marketing
DedeProGames
• • 4