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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. Communication-Efficient Personalized Federated Learning via Layer-Wise Multi-Threshold Random Sketching taaft Personalized federated learning (PFL) is a promising paradigm for collaborative learning over distr… 2026-09-04 published
  2. Compact Bellman-Grounded Cognitive Maps for Cost-Aware Navigation taaft Biological agents navigate familiar environments not by re-solving routes for each new goal, but by… 2026-09-04 published
  3. Compact-Memory LLM Agents via Online Max-Member Clustering and Atom-Aware Packing taaft Many long-horizon LLM deployments face tight prompt budgets: latency, cost, and context limits make… 2026-09-04 published
  4. CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agents taaft Long-horizon agentic LLMs are increasingly limited by finite context windows, as extended interacti… 2026-07-06 published
  5. Comparative Evaluation of 3D Reconstruction Methods for Immersive Visualization of Laboratory Objects taaft In this study, we examined whether current 3D reconstruction methods can support the creation of re… 2026-08-27 published
  6. Comparing Classical and Quantum Machine Learning for Regression in High Energy Physics Collision Data taaft The classification and regression of particle collision events constitute a persistent computationa… 2026-08-28 published
  7. Comparing ML-Specific and General Python Code Smells Across Project Characteristics taaft Machine learning systems consist of general-purpose code as well as machine-learning-specific code.… 2026-06-01 published
  8. Competition-Level Code Generation with AlphaCode Google DeepMind Programming is a powerful and ubiquitous problem-solving tool. Developing systems that can assist p… 2022-02-08 published
  9. Competitive Market Behavior of LLMs taaft Large language models (LLMs) are increasingly deployed as economic agents, yet there is little evid… 2026-09-02 published
  10. Compositional Reward Models for Conditional Medical Image Generation taaft Acquiring high quality annotated medical image data is critical for training deep learning models;… 2026-09-04 published
  11. Compositional Spectral Prompts for LLM-based Online Time Series Forecasting taaft To address the sequential and evolving nature of time series, the Online Time Series Forecasting (O… 2026-09-02 published
  12. Compressing AI Traffic: Standardized Neural Network Coding of Visual-Token Representations in Split Vision-Language Inference taaft When the visual encoder and the language decoder of a vision-language model (VLM) run on different… 2026-09-01 published
  13. Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation taaft Large Language Models (LLMs) have made significant strides in information acquisition. However, the… 2024-05-06 published
  14. Compression Beyond the Uncompressed: A Two-Stage Training Recipe for Soft Context Compression in RAG taaft Retrieval-Augmented Generation (RAG) improves knowledge-intensive generation by conditioning langua… 2026-09-04 published
  15. Compression Trinity: Exploring Sparsity, Quantization, and Low-Rank Approximations for LLM Compression taaft Prohibitive computational and environmental costs impede the scalable deployment of Large Language… 2026-08-25 published
  16. Computationally lightweight classifiers with frequentist bounds on predictions taaft While both classical and neural network classifiers can achieve high accuracy, they fall short on o… 2026-03-23 published
  17. Computing stable configurations of confined smectic liquid crystals with a deep variational framework taaft Smectic liquid crystals are layered liquid-crystalline phases characterized by orientational order… 2026-09-03 published
  18. Concrete Problems in AI Safety Google DeepMind Rapid progress in machine learning and artificial intelligence (AI) has brought increasing attentio… 2016-06-21 published
  19. Concurrent Image Understanding and Generation: Self-Correcting Coupled Markov Jump Processes taaft Human cognition does not separate understanding and generation. A teacher at a whiteboard speaks an… 2026-07-14 published
  20. Conditional Visual Evidence Utility: State-Dependent Rank Reversals in Frozen Vision-Language Encoders taaft Static importance scores compress visual evidence into a single ranking, but the value of remaining… 2026-08-28 published
  21. Conditioning Degenerate Diffusion Models taaft Current conditioned generative models heavily rely on score functions for guidance during training.… 2026-09-03 published
  22. Cone Extended Rayleigh Quotients for Directed Graph Learning: Minimax Spectral Certificates, Sensitivity, and Adaptive Control taaft Directed graph learning naturally leads to trainable nonsymmetric propagation operators with distin… 2026-08-27 published
  23. Cone-Beam CT Image Quality Enhancement Using A Latent Diffusion Model Trained with Simulated CBCT Artifacts taaft Cone-beam computed tomography (CBCT) images are problematic in clinical medicine because of their l… 2026-03-27 published
  24. Confidence Matters: Uncertainty Quantification and Precision Assessment of Deep Learning-based CMR Biomarker Estimates Using Scan-rescan Data taaft The performance of deep learning (DL) methods for the analysis of cine cardiovascular magnetic reso… 2026-03-25 published
  25. Confidence-Aware Ensemble and Long-Word Refinement for Artistic Text Recognition taaft Artistic Text Recognition (ATR) remains challenging because word images often combine decorative fo… 2026-08-30 published
  26. Configurable Semantic Chunking for Biomedical Information Extraction in Retrieval-Augmented Generation taaft BioMedRAG introduced retrieval-augmented generation with a learned chunk scorer for biomedical info… 2026-08-31 published
  27. Conformal Prediction for Offensive Security taaft Despite its introduction more than a quarter century ago, Conformal Prediction (CP) has seen surpri… 2026-09-04 published
  28. Conformal Risk-Averse Decision Making with Optimized Certainty Equivalent Risk Control taaft We study risk-averse decision making, in which an agent selects actions while being uncertain about… 2026-08-28 published
  29. Conformal Uncertainty Quantification Guarantees for Neural Operators taaft Neural operators provide fast surrogate models for approximating operators between function spaces,… 2026-08-28 published
  30. Confounding Masquerading as Improvement: A Systematic Evaluation of Offline Reinforcement Learning for Stroke Antithrombotic Treatment in a 129,000-Patient Registry taaft Recent offline reinforcement learning (RL) studies report policies that outperform physician decisi… 2026-08-31 published
  31. Confounding-Valid Conformal Inference for Counterfactual KPIs in Wireless Networks taaft Conformal counterfactual inference enables network operators to use logged telemetry to reliably an… 2026-09-04 published
  32. Connecting Speech Encoder and Large Language Model for ASR ByteDance The impressive capability and versatility of large language models (LLMs) have aroused increasing a… 2023-09-25 published
  33. ConRub-Med: Reinforcement Learning with Consensus Rubrics for Open-Ended Medical Question Answering taaft Reinforcement learning with verifiable rewards has been especially effective in mathematics and cod… 2026-08-11 published
  34. ConsensusBench: Benchmark of Consensus Nodes for LLM Reasoning via Outcome Reward Densifying taaft Reinforcement learning (RL) has become one of the primary paradigms for reasoning enhancement of la… 2026-09-04 published
  35. ConsensusTAS: Self-Supervised Temporal Action Segmentation for Long-Horizon Construction Videos taaft Recognizing sequential construction activities is important for collaborative human-robot work; for… 2026-08-25 published
  36. Conserved Immune Topology Improves Pathology Foundation Model Generalization for Cross-Cancer MSI-H Prediction taaft Pathology foundation models integrated with multiple instance learning achieve competitive accuracy… 2026-09-04 published