#PapersAccepted by Jiqizhixin
Our report: https://
mp.weixin.qq.com/s/O-4L9pACS-kG
xTX6fCLtOA
… One Flight Over the Gap: A Survey from Perspective to Panoramic Vision Insta360 Research, University of California, San Diego, and others
Project: https://
insta360-research-team.github.io/Survey-of-Pano
rama/
…
Paper: https://
arxiv.org/pdf/2509.04444
Repo:
MACHINE LEARNING
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Panoramic Vision Survey: Bridging Gap Between Perspective Views
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Teaching AI Panoramic Vision: Survey of 300+ Works
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How do we teach AI to see the world in 360°?
— 机器之心 JIQIZHIXIN (@jiqizhixin) 8 octobre 2025
A new survey dives deep into panoramic vision — exploring how models adapt from standard perspective images to omnidirectional images (ODIs) used in VR, robotics, and autonomous driving.
The paper reviews 300+ works and identifies… pic.twitter.com/tgmWmnRwJIHow do we teach AI to see the world in 360°? A new survey dives deep into panoramic vision — exploring how models adapt from standard perspective images to omnidirectional images (ODIs) used in VR, robotics, and autonomous driving. The paper reviews 300+ works and identifies
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QuestA: Expanding LLM Reasoning via Question Augmentation
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#PapersAccepted by Jiqizhixin
Our report: https://
mp.weixin.qq.com/s/Mhy9fWM8KVnu
3mTy7I3osQ
… QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation Tsinghua University, Shanghai Qi Zhi Institute, and others
Paper: https://
arxiv.org/abs/2507.13266
Models: https://
huggingface.co/foreverlasting
1202/QuestA-Nemotron-1.5B
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Code: -
QuestA: Reinforcement Learning Improves Language Model Reasoning
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Can reinforcement learning really make language models better reasoners? This study says yes — with a twist. Introducing QuestA, a Question Augmentation strategy that feeds models partial solutions during RL training to ease difficulty and deliver richer feedback. Applied to
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TreeSynth: Diverse Data Synthesis via Tree-Guided Subspace Partitioning
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#PapersAccepted by Jiqizhixin
Our report: https://
mp.weixin.qq.com/s/fp29jkzxBL7S
ku4tqlvGPw
… TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning The University of Hong Kong, The Chinese University of Hong Kong
Paper: https://
arxiv.org/abs/2503.17195
Code: -
Nvidia Fast-dLLM v2: Efficient Block-Diffusion LLM
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Nvidia presents Fast-dLLM v2
— AK (@_akhaliq) 8 octobre 2025
Efficient Block-Diffusion LLM pic.twitter.com/wjqpvi1LoANvidia presents Fast-dLLM v2 Efficient Block-Diffusion LLM
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Build Your Own Byte-Pair Encoder: LLM Engineering Fundamentals
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step-by-step LLM Engineering Projects each project = one concept learned the hard (i.e. real) way Tokenization & Embeddings > build byte-pair encoder + train your own subword vocab
> write a “token visualizer” to map words/chunks to IDs
> one-hot vs learned-embedding: plot -
Anthropic to launch Claude Code on mobile
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BREAKING 🚨: Anthropic is preparing Claude Code to be released on the mobile app! Users will be able to connect Claude app to GitHub and run their coding prompts on the go.
— 🚨 AI News | TestingCatalog (@testingcatalog) 7 octobre 2025
Claude Codex 👀 pic.twitter.com/sMAi14qljwBREAKING : Anthropic is preparing Claude Code to be released on the mobile app! Users will be able to connect Claude app to GitHub and run their coding prompts on the go. Claude Codex
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Preparing for AI Jobs in the Next Decade
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How To Prepare For The AI Jobs Coming In The Next Decade
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn http://
ow.ly/CbRB30sQ3q9
