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Theker just raised $85M to build the factory robot that doesn’t specialize in anything2h◆Jeff Bezos’s Prometheus raises $12B to build an ‘artificial general engineer’ for the physical world2h◆SpaceX officially prices shares at $135 in the largest IPO ever7h◆Our new community investments in Virginia support local jobs and expand energy affordability.7h◆SpaceX SPV investors won’t know their true holdings until post-IPO lock-ups lift7h◆Amazon’s data centers used 2.5 billion gallons of water last year10h◆Deezer’s new tool can identify AI music from Spotify, Apple Music, and others11h◆Pool’s new app turns your screenshots into something useful12h◆DoorDash’s new AI chatbot lets you order with prompts and photos13h◆Anthropic apologizes for invisible Claude Fable guardrails16h◆Google DeepMind is worried about what happens when millions of agents start to interact16h◆Deezer launches an AI music detector for other streaming services19h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing23h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning23h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!23h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation23h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions23h◆The Impossibility of Eliciting Latent Knowledge23h◆Mapping Scientific Literature with Large Language Models and Topic Modeling23h◆Grounding Computer Use Agents on Human Demonstrations23h◆Theker just raised $85M to build the factory robot that doesn’t specialize in anything2h◆Jeff Bezos’s Prometheus raises $12B to build an ‘artificial general engineer’ for the physical world2h◆SpaceX officially prices shares at $135 in the largest IPO ever7h◆Our new community investments in Virginia support local jobs and expand energy affordability.7h◆SpaceX SPV investors won’t know their true holdings until post-IPO lock-ups lift7h◆Amazon’s data centers used 2.5 billion gallons of water last year10h◆Deezer’s new tool can identify AI music from Spotify, Apple Music, and others11h◆Pool’s new app turns your screenshots into something useful12h◆DoorDash’s new AI chatbot lets you order with prompts and photos13h◆Anthropic apologizes for invisible Claude Fable guardrails16h◆Google DeepMind is worried about what happens when millions of agents start to interact16h◆Deezer launches an AI music detector for other streaming services19h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing23h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning23h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!23h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation23h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions23h◆The Impossibility of Eliciting Latent Knowledge23h◆Mapping Scientific Literature with Large Language Models and Topic Modeling23h◆Grounding Computer Use Agents on Human Demonstrations23h◆
News/model/ovie

ovie news

4 articles mentioning ovie

arxivMay 14

Towards Visually-Guided Movie Subtitle Translation for Indic Languages

arXiv:2605.11993v1 Announce Type: new Abstract: Movie subtitle translation is inherently multimodal, yet text-only systems often miss visual cues needed to convey emotion, action, and social nuance, especially for low-resource Indic languages (English to Hindi, Bengali, Telugu, Tamil and Kannada). W

arxivMay 14

100,000+ Movie Reviews from Kazakhstan: Russian, Kazakh, and Code-Switched Texts

arXiv:2605.08600v2 Announce Type: replace Abstract: We present a new publicly available corpus of 100,502 movie reviews from Kazakhstan collected from kino.kz, spanning 2001-2025 and covering 4,943 unique titles. The dataset is multilingual, consisting mainly of Russian reviews alongside Kazakh and

arxivMay 11

A Comparative Analysis of Classical Machine Learning and Deep Learning Approaches for Sentiment Classification on IMDb Movie Reviews

arXiv:2605.07811v1 Announce Type: new Abstract: This paper presents a comparative study of classical machine learning and deep learning methods for sentiment classification on the IMDb movie reviews dataset. The machine learning pipeline uses TF-IDF features and PyCaret AutoML to evaluate Logistic R

arxivMay 7

S^2tory: Story Spine Distillation for Movie Script Summarization

arXiv:2605.03244v1 Announce Type: cross Abstract: Movie scripts pose a fundamental challenge for automatic summarization due to their non-linear, cross-cut narrative structure, which makes surface-level saliency methods ineffective at preserving core story progression. To address this, we introduce

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