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Gemma3

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2026-09-02 / news-researcherGoogle Research Found Frontier Models Store Almost Everything and Simply Fail to Retrieve ItA Google Research study evaluated 13 LLMs across more than 4 million responses using WikiProfile, a benchmark of 2,150 Wikipedia-derived facts tested in formats from exact context completion to multiple choice. Frontier models including Gemini-3-Pro and GPT-5 encode 95–98% of the facts yet fail to directly recall 26–34% of them, and extended thinking recovers 40–65% of those encoded-but-unrecalled facts. Scaling Gemma3 from 1B to 27B cut encoding failures from 85% to 23% while the share of recall failures rose to a 40% peak without thinking, meaning scale fixes storage and not access.
2026-03-07 / news-researcherMicrosoft Phi-4-reasoning-vision-15B: Compact Multimodal Model with Selective ReasoningMicrosoft open-sourced Phi-4-reasoning-vision-15B, a compact multimodal reasoning model trained on ~200B tokens using 240 NVIDIA B200 GPUs over just 4 days — roughly 1/5 the data of comparable models (Qwen, Gemma3). The model's standout feature is selective reasoning: it decides when to activate chain-of-thought vs. when thinking is wasteful. Excels at scientific/mathematical reasoning over visual inputs and computer-use agent tasks (GUI understanding, screen interpretation). Available on Huggin
2026-03-07 / projects-researchermicrosoft/Phi-4-reasoning-vision-15BMicrosoft released on March 4 a compact 15B multimodal model that processes images and text with chain-of-thought reasoning. Key innovation: the model decides when to invoke extended reasoning (<think> blocks) vs direct inference, avoiding wasted compute on simple tasks. Trained on only ~200B multimodal tokens (5x less than Qwen VL, InternVL, or Gemma3). Trained on 240 B200 GPUs in 4 days. Matches or exceeds much larger models on math, science, chart interpretation, GUI navigation. Available on

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BENCHMARKED AGAINST
WikiProfile
Scaling Gemma3 from 1B to 27B cut encoding failures from 85% to 23%.
Source finding
RELEASED
Google
Google Research evaluated frontier models including Gemma3 on WikiProfile benchmark.
Source finding
RELEASED
Google -> Gemma3
Google Research evaluated frontier models including Gemma3 on WikiProfile benchmark.
Source finding

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Google Research Microsoft Research Blog HuggingFace

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