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Three Papers Offer Data, Inference and Safety Fixes for Fragile VLA Robot Models

The proposals aim to cut shortcut learning, stop open-loop action failures, and predict collisions before they occur.

Study Finds Transformers Collapse on Classic Stroop Test

Study Finds GPT‑4.5 Can Be Mistaken for a Human in Short Text Chats

Study Finds Brief AI Assistance Lifts Performance Then Undercuts Persistence

ArXiv Preprint Says Prompts Drive Many LVLM Hallucinations

Karpathy’s File-Based LLM Wiki Spreads as Developers Build Obsidian Second Brains

New RAG Papers Tout Structured, Chunk-Free and Hybrid Retrieval Gains

New ArXiv RAG Papers Tackle Lean Stacks, Adaptive Retrieval, and Knowledge-Graph QA

Two New RAG Preprints Propose Theme-Aligned Hypergraphs and Hierarchical Agents

RAG Research Enters Next Phase With Hybrid Retrieval, Dynamic Graphs, and Context Valuation

New RAG Preprints Propose Retrieval, Reasoning, and Graph Methods to Curb Hallucinations

New Studies Advance Reliability‑Aware, Graph‑Based and Monitored RAG as Real‑World Test Flags Failures