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Apple research papers

Company · 9 papers · 163 citations · latest Sep 2026

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PaperCitations
MintAct: A Unified Visual Agent for Digital EnvironmentsWe present MintAct, a family of vision-language models that unifies UI grounding, multi-step navigation across mobile, desktop, and web, and visual tool use, trained at 2B, 4B, and 8B scales.Agents and evaluation · Sep 2026 · Unverified0
It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement LearningCoGR trains LLMs to generate compact keywords for both queries and items, enabling direct inverted-index retrieval optimized via co-evolving reinforcement learning.Retrieval and data · Sep 2026 · Unverified1
Embarrassingly Simple Self-Distillation Improves Code GenerationSimple self-distillation improves code generation in large language models by fine-tuning on model-generated samples, effectively addressing precision-exploration trade-offs in decoding.Foundation models · Apr 2026 · Unverified33
CHIMERA: Compact Synthetic Data for Generalizable LLM ReasoningA synthetic reasoning dataset called CHIMERA is introduced to overcome data-centric challenges in training large language models for cross-domain reasoning, achieving performance comparable to much larger models.Reasoning · Mar 2026 · Unverified2
Sharp Monocular View Synthesis in Less Than a SecondSHARP synthesizes photorealistic views from a single image using a 3D Gaussian representation, achieving state-of-the-art results with rapid processing.Multimodal and robotics · Dec 2025 · Unverified21
One Layer Is Enough: Adapting Pretrained Visual Encoders for Image GenerationFAE, a framework using a feature auto-encoder and dual decoders, adapts pre-trained visual representations for generative models, achieving high performance in image generation tasks.Multimodal and robotics · Dec 2025 · Unverified24
STARFlow-V: End-to-End Video Generative Modeling with Normalizing FlowSTARFlow-V, a normalizing flow-based video generator, offers end-to-end learning, robust causal prediction, and high-quality video generation with practical sampling efficiency.Multimodal and robotics · Nov 2025 · Unverified9
CLaRa: Bridging Retrieval and Generation with Continuous Latent ReasoningCLaRa enhances retrieval-augmented generation by introducing unified embedding-based compression and joint optimization, achieving state-of-the-art performance in QA benchmarks.Reasoning · Nov 2025 · Unverified11
Pico-Banana-400K: A Large-Scale Dataset for Text-Guided Image EditingPico-Banana-400K is a large-scale, high-quality dataset for instruction-based image editing, featuring diverse edit pairs, multi-turn editing, preference subsets, and long-short instruction pairs, enabling comprehensive research and benchmarking.Retrieval and data · Oct 2025 · Unverified62
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Topics: Multimodal and robotics 3, Retrieval and data 2, Reasoning 2, Agents and evaluation 1, Foundation models 1

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Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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