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Aug 6, 2026 · Artificial Intelligence

What Research Directions Are Worth Pursuing After Reviewing 407 Large Model Papers?

The author curates a collection of 407 recent large‑model papers—264 frontier works across six innovation paths and 143 top‑conference papers—classifies them into 14 hot sub‑topics, and explains how labs can match these directions to their available compute, data, and time resources.

AI researchMultimodalRetrieval-Augmented Generation

0 likes · 4 min read

What Research Directions Are Worth Pursuing After Reviewing 407 Large Model Papers?

360 Tech Engineering

Jul 21, 2026 · Artificial Intelligence

Six 360 AI Institute Papers Accepted at 2026 Top AI Conferences Signal a Shift Toward Precise, Controllable AI

In the first half of 2026, 360 AI Institute saw six papers accepted at ICLR, CVPR, ICML and ECCV, covering multimodal understanding, agents, image generation and editing, while Chinese contributions reached 43.7% of ICLR submissions, highlighting a global move toward more precise and controllable artificial intelligence.

AI researchAgentsMultimodal

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Six 360 AI Institute Papers Accepted at 2026 Top AI Conferences Signal a Shift Toward Precise, Controllable AI

21CTO

Sep 29, 2017 · Fundamentals

How CSranking Reveals the True Strength of Global Computer Science Departments

CSranking, an open‑source project from MIT, ranks worldwide computer science departments by counting papers at top conferences, offering a more nuanced view of research strength than citation‑based lists and allowing flexible, region‑ and field‑specific queries for students and analysts alike.

CSrankingacademic rankingscomputer science departments

0 likes · 7 min read

How CSranking Reveals the True Strength of Global Computer Science Departments