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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. Structured Frequency-Domain Evidence for LLM-Based Time-Series Anomaly Detection taaft Time-series anomalies can appear not only as pointwise deviations but also as changes in recurring… 2026-08-25 published
  2. Structured Packing in LLM Training Improves Long Context Utilization taaft Recent advancements in long-context large language models have attracted significant attention, yet… 2023-12-28 published
  3. Structured Semantic Cloaking for Jailbreak Attacks on Large Language Models Kuaishou Technology Modern LLMs employ safety mechanisms that extend beyond surface-level input filtering to latent sem… 2026-03-17 published
  4. Structured-Prior-Guided Diffusion Inpainting with Physical Consistency for Traffic Sign Augmentation taaft Traffic sign detection faces a long-tailed data distribution. Many rare signs matter as much as com… 2026-09-02 published
  5. StudentSim: Training LLM-based Student Simulators taaft AI tutors are most useful when they adapt to each student's strengths, weaknesses, and preferred gu… 2026-09-01 published
  6. Subcellularly Resolved Single-Cell Embedding Learning with Transcriptomic data, Protein Structure and Localization Information taaft Existing cell embedding methods predominantly rely on transcriptomic or proteomic measurements and… 2026-09-02 published
  7. Subject-Specific Low-Field MRI Synthesis via a Neural Operator taaft Low-field (LF) magnetic resonance imaging (MRI) improves accessibility and reduces costs but genera… 2026-03-26 published
  8. Subspace Projection Methods for Fast Spectral Embeddings of Evolving Graphs taaft Several graph data mining, signal processing, and machine learning downstream tasks rely on informa… 2026-03-19 published
  9. Substrate-Aware AI Agents: Execution Context as a First-Class Input taaft Autonomous AI agents increasingly select actions in environments whose memory, execution-time, runt… 2026-09-04 published
  10. Subword Segmental BabyLMs: Learning to Tokenise for Sample-Efficient Pretraining taaft In the standard LM training pipeline, subword tokenisation is applied as a preprocessing step. Subw… 2026-09-01 published
  11. SUP-MIMIC: A Multi-Task Clinical Diagnosis Benchmark for Evaluating LLMs' Robustness to Contradictory Evidence taaft Current evaluations of large language models (LLMs) primarily focus on factual knowledge retrieval,… 2026-08-30 published
  12. Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning taaft Instruction tuning is critical to improve LLMs but usually suffers from low-quality and redundant d… 2024-02-01 published
  13. Superposed Latent Autoencoder taaft Autoencoders typically meet tight latent-memory budgets by making each latent representation smalle… 2026-09-01 published
  14. Supraglacial Lake Fate Is Knowable Long Before the Season Ends taaft A supraglacial lake on the Greenland Ice Sheet ends its melt season in one of four ways: it drains… 2026-08-31 published
  15. SurfSpec: Enhancing Off-Target-Agnostic Specificity by Bounding Pocket-Ligand Geometric Mismatch taaft Lead optimization in structure-based drug design aims to improve target binding while avoiding unin… 2026-09-02 published
  16. SurgeGen: A Hybrid Generative Diffusion Framework for Storm Surge Scenario Synthesis taaft Predicting storm surge induced by landfalling tropical cyclones is crucial for flood mitigation and… 2026-09-03 published
  17. Surrogate-Assisted Genetic Programming with Rank-Based Phenotypic Characterisation for Dynamic Multi-Mode Project Scheduling taaft The dynamic multi-mode resource-constrained project scheduling problem (DMRCPSP) is of practical im… 2026-03-17 published
  18. Sustainability Is Not Linear: Quantifying Performance, Energy, and Privacy Trade-offs in On-Device Intelligence taaft The migration of Large Language Models (LLMs) from cloud clusters to edge devices promises enhanced… 2026-03-27 published
  19. Sustainable Edge Vision via Empirically Calibrated DVFS: Eliminating Thermal Throttling on Passively Cooled Hardware taaft Passive cooling eliminates the energy overhead and mechanical failure modes of fans, making it attr… 2026-09-04 published
  20. SVG-Score: Human-Aligned Evaluation of Text-to-SVG Generation taaft Scalable Vector Graphics (SVG) generation is attracting increasing attention as generative models i… 2026-09-03 published
  21. SwanTale: Unified Multi-Speaker Speech and Audio Generation for Instruct and Zero-Shot Tasks taaft Speech and audio generation is often needed in animation dubbing, audio drama, movies, advertising,… 2026-08-03 published
  22. SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering taaft Language model (LM) agents are increasingly being used to automate complicated tasks in digital env… 2024-05-06 published
  23. SWE-Gate: Passing Functional Tests Is Not Enough for Software Engineering Agents taaft Repository-level software engineering benchmarks have significantly advanced the evaluation of codi… 2026-09-03 published
  24. SWE-PRBench: Benchmarking AI Code Review Quality Against Pull Request Feedback taaft We introduce SWE-PRBench, a benchmark of 350 pull requests with human-annotated ground truth for ev… 2026-03-27 published
  25. SWIM: Student Writing Simulation via Proficiency-Conditioned Generation taaft Writing proficiency manifests in how students develop content, organize ideas, choose words, and us… 2026-09-02 published
  26. Swin Meets EfficientNet: Lightweight Architectures for GAN-Based Face Forensics taaft Modern generative models, such as GANs, diffusion architectures, and autoregressive systems, now pr… 2026-09-01 published
  27. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Microsoft This paper presents a new vision Transformer, called Swin Transformer, that capably serves as a gen… 2021-03-25 published
  28. Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity Google In deep learning, models typically reuse the same parameters for all inputs. Mixture of Experts (Mo… 2021-01-11 published
  29. Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step taaft Chain-of-thought prompting (e.g., "Let's think step-by-step") primes large language models to verba… 2023-06-24 published
  30. SymFold: Synergizing Evolutionary and Structural Priors for Accurate Protein Inverse Folding taaft Protein inverse folding aims to recover amino acid sequences for a given 3D protein structure, unde… 2026-09-01 published
  31. Synchronized Video Storytelling: Generating Video Narrations with Structured Storyline taaft Video storytelling is engaging multimedia content that utilizes video and its accompanying narratio… 2024-05-22 published
  32. SynCrash: A Multi-Stage Pipeline for Zero-Shot Accident Detection and Localization in Traffic Surveillance Video taaft We present SynCrash, a multi-stage pipeline for zero-shot accident detection, spatial localization,… 2026-08-30 published
  33. Synergistic Event-SVE Imaging for Quantitative Propellant Combustion Diagnostics taaft Real-time monitoring of high-energy propellant combustion is difficult. Extreme high dynamic range… 2026-03-26 published
  34. Synergistic Information Disentanglement for Omni-modal Slide Representation Learning in Computational Pathology taaft In computational pathology (CPath), developing omni-modal self-supervised learning (SSL) models tha… 2026-09-02 published
  35. Synergizing Reasoning and Acting in Language Models Google Research While large language models (LLMs) have demonstrated impressive capabilities across tasks in langua… 2022-10-06 published
  36. Syntax-Directed Variational Autoencoder for Structured Data taaft Deep generative models have been enjoying success in modeling continuous data. However it remains c… 2018-02-24 published