From 074ca249291d5c418f89f498a4930ce404fc44b0 Mon Sep 17 00:00:00 2001 From: LaoWang <257199637@qq.com> Date: Tue, 2 Jun 2026 14:32:28 +0000 Subject: [PATCH] =?UTF-8?q?fix:=20=E5=88=A0=E9=99=A4=E8=A2=AB=E6=92=A4?= =?UTF-8?q?=E5=9B=9E=E7=9A=84Llama4,=20=E4=BF=9D=E7=95=99Llama3=E6=AD=A3?= =?UTF-8?q?=E5=BC=8F=E8=AE=BA=E6=96=87(2407.21783)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- data/papers.json | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data/papers.json b/data/papers.json index 3be9f44..15eed7a 100644 --- a/data/papers.json +++ b/data/papers.json @@ -61,14 +61,14 @@ "arxiv": "2507.20534" }, { - "title": "Llama 3 / Llama 4 (Scout/Maverick/Behemoth, MoE, 10M context)", + "title": "Llama 3 / Llama 3.1: The Llama 3 Herd of Models (405B dense, multilingual)", "authors": "Meta AI", - "year": 2025, - "venue": "Meta AI", + "year": 2024, + "venue": "arXiv", "tags": [ "关键节点" ], - "pdf": "https://ai.meta.com/blog/llama-4-multimodal-intelligence/" + "arxiv": "2407.21783" }, { "title": "DeepSeek-V4: 1.6T MoE + CSA+HCA Hybrid Attention + 1M Context",