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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. Proximity Features: Privacy-Compliant Cold-Start Personalization at Airbnb taaft Personalization in two-sided marketplaces relies heavily on user-level features, yet for platforms… 2026-07-14 published
  2. PRQ-KMeans: Projection Residual Quantization for Semantic ID Tokenization taaft Semantic identifiers (SIDs) represent entities as hierarchical token sequences for generative retri… 2026-08-25 published
  3. Prune-then-Quantize or Quantize-then-Prune? Understanding the Impact of Compression Order in Joint Model Compression taaft What happens when multiple compression methods are combined-does the order in which they are applie… 2026-03-19 published
  4. PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX taaft We introduce PTXBench, a benchmark for evaluating and adapting large language models (LLMs) to use… 2026-08-18 published
  5. Public-Sharing Labels and Verbatim Field Egress in an MCP-to-A2A Agent Configuration: A Controlled Multi-Model Study taaft Safety properties assessed separately for Model Context Protocol (MCP) tool use and Agent2Agent (A2… 2026-09-01 published
  6. Publicly-Detectable Watermarking for Language Models taaft We present a publicly-detectable watermarking scheme for LMs: the detection algorithm contains no s… 2023-10-27 published
  7. Puffin-World: Scaling a Unified Multimodal Model with Native 3D World States taaft We propose Puffin-World, a unified multimodal architecture that integrates physical understanding,… 2026-09-03 published
  8. Puro-2B: Poor Lab's Qwen2-1.5B Trained on RTX 5090 within $5090 taaft Language model pretraining has become almost synonymous with prohibitive cost, placing it out of re… 2026-08-27 published
  9. Pushing Forward Multi-Secret-Key Homomorphic Encryption for Private Average Aggregation taaft Federated Learning enables multiple clients to train a shared model while keeping their local datas… 2026-09-01 published
  10. PuTR-CouT: Counting-by-Tracking in Camera-Trap Image Sequences taaft Species identification in camera trap images has been widely studied, but key ecological modeling t… 2026-09-04 published
  11. PuzzleKV: Page-Wise Low-Rank Decomposition for KV Cache Compression taaft Long-context inference in large language models (LLMs) is increasingly limited by the memory requir… 2026-08-24 published
  12. PV3D: A 3D Generative Model for Portrait Video Generation taaft Recent advances in generative adversarial networks (GANs) have demonstrated the capabilities of gen… 2022-12-13 published
  13. PyDoseRT Proton: A GPU Pencil-Beam Engine with a Convolutional Residual-Correction Network for Fast Proton Dose Calculation taaft Architecture category. Hybrid method: a physics-based analytical pencil-beam (PB) dose engine follo… 2026-09-01 published
  14. PyTorch: An Imperative Style, High-Performance Deep Learning Library Meta Platforms Deep learning frameworks have often focused on either usability or speed, but not both. PyTorch is… 2019-12-03 published
  15. Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection taaft With the rapid growth of interconnected devices, accurately detecting malicious activities in netwo… 2026-03-23 published
  16. Q-Strata: Hierarchical Bit Allocation for Mixed-Precision Quantization of Mixture-of-Experts LLMs taaft Mixed-precision quantization (MPQ) assigns a different bitwidth to each linear layer of a large lan… 2026-08-31 published
  17. Q-Tacit: Image Quality Assessment via Latent Visual Reasoning taaft Vision-Language Model (VLM)-based image quality assessment (IQA) has been significantly advanced by… 2026-03-23 published
  18. Q&A or Document-Based? The Effects of Interface Type on How Screen Reader Users Access Interconnected Documents taaft Blind and low-vision (BLV) users are increasingly engaging with large language model (LLM) interfac… 2026-08-26 published
  19. QGPINNs: A Physics-Informed Neural Network Framework for Nonlocal Differential Equations on Quantum Graphs taaft We propose QGPINNs, a physics-informed neural network framework developed in PyTorch for the numeri… 2026-08-28 published
  20. Qlippy: A Retrieval-Augmented GenAI Assistant for Reproducible Quantum Workflows and Experiment Tracking taaft Quantum software development is iterative and error-prone. Noisy hardware and repeated re-execution… 2026-09-04 published
  21. QLoRA: Efficient Finetuning of Quantized LLMs Microsoft We present QLoRA, an efficient finetuning approach that reduces memory usage enough to finetune a 6… 2023-05-23 published
  22. QML for Quantum Sensing under Measurement-Induced Information Loss taaft Nitrogen-vacancy (NV) centers in diamond can serve as highly sensitive solid-state quantum sensors… 2026-08-25 published
  23. QMoP: Query Guided Mixture-of-Projector for Efficient Visual Token Compression taaft Multimodal large language models suffer from severe computational and memory bottlenecks, as the nu… 2026-03-22 published
  24. QTEA: Ternary LLMs with Sparse Residual Salient Weight and By-Column Optimization taaft Weight-only post-training quantization (PTQ) can alleviate the computational burden of serving larg… 2026-08-31 published
  25. Quality Over Clicks: Intrinsic Quality-Driven Iterative Reinforcement Learning for Cold-Start E-Commerce Query Suggestion taaft Existing dialogue systems rely on query suggestion to enhance user engagement. Recent approaches ma… 2026-03-24 published
  26. QuanBench+: A Unified Multi-Framework Benchmark for LLM-Based Quantum Code Generation taaft Large Language Models (LLMs) are increasingly used for code generation, yet quantum code generation… 2026-03-25 published
  27. Quanta Perception as Probabilistic Events taaft Autonomous systems rely on extracting information from light, yet remain brittle in extreme environ… 2026-08-27 published
  28. Quantifying and Mitigating Korean Jamo-Level Typographical Vulnerabilities in Large Language Models taaft Korean introduces an additional typographical perturbation level not captured by ordinary character… 2026-08-31 published
  29. Quantifying Ranking Uncertainty in LLM Benchmarks taaft Pretrained models are typically ranked on multi-task leaderboards to assess their effectiveness acr… 2026-06-28 published
  30. Quantifying System-Level Harms from AI Adoption in Complex Sociotechnical Systems taaft Artificial Intelligence (AI) is increasingly integrated into complex sociotechnical systems, includ… 2026-08-24 published
  31. Quantifying the Utility of User Simulators for Building Collaborative LLM Assistants taaft User simulators are increasingly leveraged to build interactive AI assistants, yet how to measure t… 2026-05-10 published
  32. Quantitative Analysis of $ω$-Regular Robust MDPs taaft Robust Markov Decision Processes (RMDPs) generalize classical MDPs by allowing uncertainty in trans… 2026-08-26 published
  33. Quantitative Evidence Mining for Plausibility-Aware Biomedical AI taaft Biomedical artificial intelligence is moving from literature retrieval toward evidence synthesis fo… 2026-08-31 published
  34. Quantization Effects on Bangla Language Understanding in Large Language Models: A Systematic Evaluation taaft Post-training quantization lowers the memory footprint of Large Language Models (LLMs) and speeds u… 2026-08-25 published
  35. Quantizing Ideogram 4.0 onto a 3090: an INT8 build that matches FP8 and a 4-bit GGUF that beats NF4 Transformer Lab Develops post-training quantization recipes for Ideogram 4.0 (9.3B-param diffusion transformer) for… Transformer Lab
  36. Quantum Coordination Advantages in AI State-Tracking Tasks: Semantic Compilation and Latent Memory taaft We prove inference-time quantum coordination advantages for specified AI state-tracking tasks. A so… 2026-08-11 published