Junbo Wang (Kuaishou Technology et al.
#arXiv #cs.AI #cs.CL
결과: CCDI 점수가 높은 그룹은 낮은 그룹에 비해 PedMIDAS 점수가 낮았으며(29.54 ± 17.20 대 41.96 ± 14.72), 28일 동안 두통 발생 일수가 더 적었으며 (🧵 3/6)
결과: CCDI 점수가 높은 그룹은 낮은 그룹에 비해 PedMIDAS 점수가 낮았으며(29.54 ± 17.20 대 41.96 ± 14.72), 28일 동안 두통 발생 일수가 더 적었으며 (🧵 3/6)
RESULTS: The high-CCDI group had lower PedMIDAS scores than the low-CCDI group (29.54 ± 17.20 vs. 41.96 ± 14.72), fewer headache days over 28 days (🧵 5/11)
RESULTS: The high-CCDI group had lower PedMIDAS scores than the low-CCDI group (29.54 ± 17.20 vs. 41.96 ± 14.72), fewer headache days over 28 days (🧵 5/11)
Floating a tiny public slice on an $18B valuation is just a scheme to make retail buyers fund their massive compute burn.
Floating a tiny public slice on an $18B valuation is just a scheme to make retail buyers fund their massive compute burn.
https://br.investing.com/news/stock-market-news/kling-ai-da-kuaishou-mira-ipo-em-hong-kong-e-pode-captar-ao-menos-us-1-bilhao-2083800?utm_source=flipboard&utm_medium=activitypub
Posted into Economia & Negócios […]
https://br.investing.com/news/stock-market-news/kling-ai-da-kuaishou-mira-ipo-em-hong-kong-e-pode-captar-ao-menos-us-1-bilhao-2083800?utm_source=flipboard&utm_medium=activitypub
Posted into Economia & Negócios […]
Kling AI, de Kuaishou Technology, a choisi des banques pour une introduction en bourse à Hong Kong qui pourrait lever au moins 1 milliard de dollars, selon des sources proches du dossier....
Kling AI, de Kuaishou Technology, a choisi des banques pour une introduction en bourse à Hong Kong qui pourrait lever au moins 1 milliard de dollars, selon des sources proches du dossier....
Tech and EV heavyweights led the slide:
• Xiaomi dropped over 5%
• Bilibili, JD Health & XPeng fell over 4%
• Kuaishou, Li Auto, Baidu, Leapmotor & JD.com fell over 3%
NIO bucked the trend, rising 1.74%.
Tech and EV heavyweights led the slide:
• Xiaomi dropped over 5%
• Bilibili, JD Health & XPeng fell over 4%
• Kuaishou, Li Auto, Baidu, Leapmotor & JD.com fell over 3%
NIO bucked the trend, rising 1.74%.
KUAISHOU Explorer LLM-Rec Challenge 2026: Reasoning Generative Recommendation
https://arxiv.org/abs/2609.39828
KUAISHOU Explorer LLM-Rec Challenge 2026: Reasoning Generative Recommendation
https://arxiv.org/abs/2609.39828
Full breakdown of the new features and specs 👇
aiarabai.com/en/kuaishou-...
Full breakdown of the new features and specs 👇
aiarabai.com/en/kuaishou-...
Kuaishou presents its dual-agent framework where a Research Agent forms proposals and a Model Agent investigates them.
📝 arxiv.org/abs/2609.30001
Kuaishou presents its dual-agent framework where a Research Agent forms proposals and a Model Agent investigates them.
📝 arxiv.org/abs/2609.30001
Major tech giants led the decline: Xiaomi, Alibaba, and Li Auto dropped over 3%, NetEase fell 3%, while BYD, JD.com, Meituan, Kuaishou, and Baidu all slipped over 2%.
Major tech giants led the decline: Xiaomi, Alibaba, and Li Auto dropped over 3%, NetEase fell 3%, while BYD, JD.com, Meituan, Kuaishou, and Baidu all slipped over 2%.
Kuaishou introduces articulated user rationales, natural-language explanations of why people like or dislike content, as a recommendation signal.
📝 arxiv.org/abs/2609.17639
Kuaishou introduces articulated user rationales, natural-language explanations of why people like or dislike content, as a recommendation signal.
📝 arxiv.org/abs/2609.17639
Kuaishou introduces a framework that jointly trains pre-ranking and ranking fusion, reducing cross-stage inconsistency.
📝 arxiv.org/abs/2609.11052
Kuaishou introduces a framework that jointly trains pre-ranking and ranking fusion, reducing cross-stage inconsistency.
📝 arxiv.org/abs/2609.11052
identity among grassroots deaf livestreamers on Kuaishou in China. Their earlier research on Douyin deaf creators’ self-presentation is published in New Media & Society: doi.org/10.1177/1461...
identity among grassroots deaf livestreamers on Kuaishou in China. Their earlier research on Douyin deaf creators’ self-presentation is published in New Media & Society: doi.org/10.1177/1461...