Papersby GlyphApple research papers
A company publishing mostly on multimodal and robotics, best known here for Pico-Banana-400K.11 papers · 202 citations · latest Oct 2026
OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal MemoryThis framework improves multimodal AI reasoning by providing persistent memory and tool interfaces to help models process and combine complex visual evidence.
Apple101 upvotesRead →Decoding Looped Transformers Better for (Almost) FreeLoopCD improves decoding quality in looped transformers by contrasting final predictions with earlier recurrent states without extra training.Apple1 citations46 upvotesRead →MintAct: A Unified Visual Agent for Digital EnvironmentsMintAct is a unified vision-language model family that handles UI grounding and multi-step navigation across various digital environments.Apple35 upvotesRead →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.Apple2 citations65 upvotesRead →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.Apple40 citations55 upvotesRead →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.Apple2 citations57 upvotesRead →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.Apple32 citations31 upvotesRead →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.Apple32 citations25 upvotesRead →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.Apple8 citations33 upvotesRead →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.Apple17 citations25 upvotesRead →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.Apple68 citations30 upvotesRead →