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Browse AI research papers and methods. Search paper profiles, read recorded summaries and follow source links for the full research.

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Use the summary to find relevant work, then read the original paper. Compare the method, evaluation setting, baselines and limitations with your own problem. Check whether code and datasets are available; a reported benchmark result may not transfer to your use case.

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  1. OrnaStyler: Ornament-Aware Latent Editing for Content-Preserving 3D Stylization taaft Text-guided style editing of 3D assets is essential for adapting existing objects to diverse visual… 2026-08-30 published
  2. Orthogonal Ensembles and Tested Explanations for Performer-Independent Body-Motion Emotion Recognition taaft We study body-only, 12-class acted-emotion classification from skeleton motion under leave-performe… 2026-09-02 published
  3. OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization taaft INT2 KV-cache quantization is attractive for long-context LLM serving, but it remains difficult to… 2026-05-18 published
  4. OSR: Output Space Redistribution for Adaptive Label Removal in Classification Models taaft Label removal occurs frequently in classification systems with evolving taxonomies, where categorie… 2026-09-03 published
  5. Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy taaft As deep neural networks become adopted in high-stakes domains, it is crucial to identify when infer… 2024-01-22 published
  6. Out-of-Distribution Generalisation with Sequence Models in Offline Multi-Agent Reinforcement Learning taaft Generalising to unseen tasks remains a fundamental challenge in offline multi-agent reinforcement l… 2026-09-03 published
  7. Out-of-Distribution Object Detection in Street Scenes via Synthetic Outlier Exposure and Transfer Learning Aptiv Germany Out-of-distribution (OOD) object detection is an important yet underexplored task. A reliable objec… 2026-03-17 published
  8. OutageDiT: A Generative Foundation Model for Power Outage Forecasting and Scenario Simulation taaft Power-outage planning requires scenarios before an event occurs. These scenarios must represent unc… 2026-09-01 published
  9. OUTLETS: Output-Length Prediction from Speculative Decoding Backbones taaft The heavy-tailed distribution of output lengths in Large Language Model (LLM) serving poses major c… 2026-09-01 published
  10. Overton: A Data System for Monitoring and Improving Machine-Learned Products Apple We describe a system called Overton, whose main design goal is to support engineers in building, mo… 2019-09-07 published
  11. Overview of SHROOM-Visions 2026: A Shared Task on Hallucination Detection in Large Vision-Language Models taaft In 2026, we held the fourth iteration of the SHROOM Shared Task series: SHROOM-Visions (\textbf{S}h… 2026-08-26 published
  12. P^2O: Joint Policy and Prompt Optimization taaft Reinforcement Learning with Verifiable Rewards (RLVR) enhances Large Language Model (LLM) reasoning… 2026-03-23 published
  13. P-PatchDiff: Progressive Patch Diffusion Models for Low-light Image Enhancement taaft Recent advancements in low-light image enhancement have leveraged diffusion models for their strong… 2026-09-01 published
  14. PA2D-MORL: Pareto Ascent Directional Decomposition based Multi-Objective Reinforcement Learning taaft Multi-objective reinforcement learning (MORL) provides an effective solution for decision-making pr… 2026-03-20 published
  15. PAC-Bayesian Reconstruction Guarantees for Time Series Variational Autoencoders taaft Forecasting time series accurately is critical for applications with complex data ranging from ener… 2026-09-04 published
  16. PACE: A Unified Condense-and-Extract Paradigm for Fast VLM Inference taaft Vision-Language Models (VLMs) demonstrate exceptional visual reasoning capabilities, yet their infe… 2026-08-27 published
  17. PACE: Propagation-Aware Collaborative Correction for One-Shot Personalized Federated Graph Learning taaft Client heterogeneity creates both an opportunity and a risk in personalized federated graph learnin… 2026-09-04 published
  18. PACE: Towards Surfacing Hidden Conflicts in User Requests taaft Personalized assistants should not only comply with user requests but also assess whether those req… 2026-09-03 published
  19. PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning taaft While large language models (LLMs) excel in various natural language processing tasks, their huge s… 2023-05-23 published
  20. PAGE-RAG: Provenance-Aware Graph Evidence Promotion for Fixed-Budget Multi-hop Retrieval-Augmented Generation taaft Multi-hop question answering in retrieval-augmented gener?ation (RAG) often benefits from retrievin… 2026-08-30 published
  21. PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher taaft The diffusion model performs remarkable in generating high-dimensional content but is computational… 2024-05-23 published
  22. PAI: Fast, Accurate, and Full Benchmark Performance Projection with AI taaft The exponential increase in complex IPs within modern SoCs, driven by Moore's Law, has created a pr… 2026-03-18 published
  23. Paint What You See: Benchmarking Dexterous Visual Tool Use in Multimodal Agents taaft Evaluation is shifting from static QA toward agentic settings where models act through external too… 2026-08-26 published
  24. Pair-Centric Graph Rewiring for Over-Squashing via Optimal Transport-Guided Communication Alignment taaft Message-passing neural networks (MPNNs) often struggle when task-relevant information is distribute… 2026-08-11 published
  25. Pair-Level Essay-Scale Republication and Reuse from Fragmented Historical Text Reuse: A Workflow Study on Eighteenth-Century Books and Newspapers taaft This paper addresses the recovery of essay-scale republication and reuse from fragmented text-reuse… 2026-08-27 published
  26. Pak3H: Evaluating the Cost of Cultural Mismatch in LLM Alignment with a Human-Contextualized Urdu Benchmark taaft Large language models (LLMs) demonstrate strong Helpfulness, Harmlessness, and Honesty (3H) alignme… 2026-08-30 published
  27. Palette: Image-to-Image Diffusion Models taaft This paper develops a unified framework for image-to-image translation based on conditional diffusi… 2021-11-10 published
  28. PaLM 2 Technical Report Google We introduce PaLM 2, a new state-of-the-art language model that has better multilingual and reasoni… 2023-05-17 published
  29. PaLM: Scaling Language Modeling with Pathways Google Research Large language models have been shown to achieve remarkable performance across a variety of natural… 2022-04-05 published
  30. PANDA - Prototype-Anchored Alignment for Partially Unpaired Multimodal Learning, with Applications to Alzheimers MRI and TCGA Pathology taaft Multimodal medical prediction often faces incomplete pairing: auxiliary modalities with complementa… 2026-08-26 published
  31. PaperBanana-Interact: Scientific Diagram Refinement with Multi-Turn Human Feedback taaft Recent efforts have aimed to automate scientific diagram generation from paper content (Lin et al.,… 2026-08-31 published
  32. PaperCompiler: Faithful Paper-to-Code Generation via Repository-Level Specification Compilation taaft Faithfully translating research papers into repository-level implementations remains challenging be… 2026-09-02 published
  33. PaperGym: Rubric-Centered Evolution for Research-Plan Generation taaft Research planning is the decisive capability of AI scientists. Yet a research plan admits no verifi… 2026-08-31 published
  34. PAPT++: Risk-Aware Adversarial Tuning and Generation for Single Domain Generalization taaft Single domain generalization (SDG) aims to learn a model from one labeled source domain that genera… 2026-09-04 published
  35. Parallel convolution processing using an integrated photonic tensor core taaft With the proliferation of ultra-high-speed mobile networks and internet-connected devices, along wi… 2020-02-01 published
  36. Parameter Estimation in Stochastic Differential Equations via Wiener Chaos Expansion and Stochastic Gradient Descent taaft This study addresses the inverse problem of parameter estimation for Stochastic Differential Equati… 2026-03-27 published