Papers
3,241 in the directory.
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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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Superposed Latent Autoencoder taaft Autoencoders typically meet tight latent-memory budgets by making each latent representation smalle… 2026-09-01 published
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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