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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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  1. Prior-Conditioned Gaussian Discriminants for Generalizable AI-generated Image Detection taaft Diffusion-based generators have made synthetic images ubiquitous, but detectors often fail under si… 2026-08-19 published
  2. PRISM-Bench: An Audio-Centric Diagnostic Benchmark for Text-to-Audio-Video Generation taaft Text-to-audio-video (T2AV) generation has advanced rapidly, but its evaluation still underestimates… 2026-09-04 published
  3. PRISM: Projection-Integrated Sampling-Based MPC with Bayesian Cost Tuning for Bimanual Manipulation taaft Bimanual manipulation in cluttered, contact-rich environments remains challenging because it requir… 2026-08-26 published
  4. Privacy Leakage in Federated Learning: Gradient-Based Client Identity Inference and Defenses for Inertial Sensing in Vehicular Edge Networks taaft As vehicular networks move toward 5G/6G edge intelligence, federated learning (FL) is widely promot… 2026-09-02 published
  5. Privacy Washing: Detecting Internal Contradictions in Privacy Policies taaft Privacy policies may contain internal contradictions in which commitments are undermined by practic… 2026-09-02 published
  6. Privacy-Preserving Heterogeneous Multi-LLM Federated Inference for Cognitive Diagnosis taaft Significant challenges remain in AI-driven educational systems in balancing privacy preservation wi… 2026-09-01 published
  7. Privacy-Preserving Topology-Guided Safety for LLM-Based Multi-Agent Systems via Federated Graph Learning taaft Topology-guided safeguards for LLM-based multi-agent systems (MAS) train a GNN over the inter-agent… 2026-09-02 published
  8. Privacy, Robustness, and Fairness Trade-offs in Federated Intrusion Detection: Geometric Indistinguishability at the Aggregation Interface taaft Federated learning enables privacy-conscious collaboration for network intrusion detection without… 2026-09-03 published
  9. Private Computation Space: Experience with Trusted Multi-Cluster Federated Learning for Agriculture taaft Artificial Intelligence has shown to help improve agricultural practices, yet adoption remains limi… 2026-09-01 published
  10. Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages Apple We study the problem of private vector mean estimation in the shuffle model of privacy where $n$ us… 2024-04-16 published
  11. PrivateHub: Contrastive Diffusion Model for Private Sensor-Intensive Environment Data Generation taaft Sensor-intensive environments enable many intelligent services by inferring user applications from… 2026-09-02 published
  12. PrivBench: A Holistic and Modular Benchmarking Platform for Evaluating Text-to-Text Privatization taaft Natural Language Processing methods have enabled novel solutions and advances in the field of priva… 2026-08-30 published
  13. PRM-as-a-Judge: A Dense Evaluation Paradigm for Fine-Grained Robotic Auditing taaft Current robotic evaluation is still largely dominated by binary success rates, which collapse rich… 2026-03-23 published
  14. PRO-Step: Step-level Process Reward Optimization for Retrieval-Augmented Generation taaft Retrieval-Augmented Generation enhances Large Language Models by grounding responses in external kn… 2026-08-31 published
  15. Proactive Rejection and Grounded Execution: A Dual-Stage Intent Analysis Paradigm for Safe and Efficient AIoT Smart Homes Meta Platforms As Large Language Models (LLMs) transition from information providers to embodied agents in the Int… 2026-03-17 published
  16. Probabilistic modeling over permutations using quantum computers taaft Quantum computers provide a super-exponential speedup for performing a Fourier transform over the s… 2026-03-23 published
  17. ProbeMatchDTI: Probe-Driven Multi-Scale Biochemical Pattern Matching for Drug-Target Interaction Prediction taaft Drug-target interaction (DTI) prediction is an important task in AI-driven drug discovery. Although… 2026-09-02 published
  18. ProCA: Progressive Contrastive Alignment for Robust EEG Visual Decoding taaft Electroencephalogram (EEG) visual decoding aims to recover visual semantics from non-invasive neura… 2026-09-04 published
  19. Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks Google Research Recently, there has been significant progress in teaching language models to perform step-by-step r… 2022-11-22 published
  20. Progressive Pseudo-Label Optimization for Point-Supervised Change Detection taaft Point-supervised change detection (PS-CD) aims to identify pixel-level changes between bi-temporal… 2026-09-02 published
  21. ProgResViT: Progressive Resolution and Width for Adaptive Vision Transformers taaft Vision Transformers (ViTs) typically process every image using a fixed input resolution and model w… 2026-09-02 published
  22. ProgRouter: Online Progress-Guided Orchestration for Multi-Agent LLM Workflows under Quality-Cost Tradeoffs taaft Multi-agent large language model (LLM) workflows have emerged as a powerful paradigm for solving co… 2026-08-26 published
  23. Project and Generate: Divergence-Free Neural Operators for Incompressible Flows taaft Learning-based models for fluid dynamics often operate in unconstrained function spaces, leading to… 2026-03-25 published
  24. Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development taaft Foundation models have demonstrated remarkable success across diverse domains and tasks, primarily… 2026-03-29 published
  25. Prompt Attack Detection with LLM-as-a-Judge and Mixture-of-Models taaft Prompt attacks, including jailbreaks and prompt injections, pose a critical security risk to Large… 2026-03-26 published
  26. Prompt Tuning for Generative Multimodal Pretrained Models Alibaba Prompt tuning has become a new paradigm for model tuning and it has demonstrated success in natural… 2022-08-04 published
  27. PROOF-Gen: From Optimized Data to Better Distillation taaft Supervised fine-tuning on teacher-generated trajectories is the standard first stage for distilling… 2026-08-24 published
  28. Propose to Learn, Learn to Propose: Evaluability-Aware Assistance under Bounded Rationality taaft AI assistants often collaborate by proposing candidate edits, plans, or designs that users evaluate… 2026-09-02 published
  29. Prospective Coding Improves Learning in Deep Continuous-Time Recurrent Networks taaft Temporal integration gives continuous-time recurrent networks memory, but in deep stacks it also de… 2026-09-03 published
  30. ProSR: Semantic-Prototype-Guided Discrete Modeling for Physically Consistent SAR Super-Resolution taaft High-resolution Synthetic Aperture Radar (SAR) imagery is critical for precision analysis such as a… 2026-09-02 published
  31. ProtLingo: Efficient Protein Language Modeling via Conditional Memory and Expert Routing taaft Proteins perform diverse cellular functions, and even single amino-acid substitutions can alter sta… 2026-09-04 published
  32. Proton Irradiation Characterization of an Open-Source ML Accelerator on a Zynq UltraScale+ MPSoC taaft As spaceborne computing systems increasingly rely on neural network (NN) accelerators, the opacity… 2026-09-04 published
  33. Provable Quantum--Classical Separation for Continuous Gibbs Sampling taaft We prove the first quantum-classical separation for a sampling problem over a continuous domain. Fo… 2026-08-25 published
  34. Provably Contractive and High-Quality Denoisers for Convergent Restoration taaft Image restoration, the recovery of clean images from degraded measurements, has applications in var… 2026-03-27 published
  35. Prove2Me: An Open Collaborative Platform for Scaling Math Formalization taaft Proof assistants such as Lean 4 promise the paradigm of formally verified mathematics, but large-sc… 2026-08-28 published
  36. Proximal Policy Optimization Algorithms OpenAI We propose a new family of policy gradient methods for reinforcement learning, which alternate betw… 2017-07-20 published