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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RACE-AIMC: Selective Inference for Heterogeneous Analog In-Memory Accelerators at the Edge taaft Analog in-memory computing (AIMC) speeds up neural-network inference by doing the arithmetic direct… 2026-09-02 published
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RAEM: Robust Autonomous Exploration for Multi-Floor Environments with a Quadruped Robot taaft In this paper, we propose RAEM, a robust autonomous exploration framework for quadruped robots oper… 2026-08-26 published
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RAFT-DVC: Resolution-Aware Machine Learning-Based Digital Volume Correlation taaft Digital volume correlation (DVC) provides three-dimensional full-field displacement measurements fr… 2026-09-01 published
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RAFT: Adapting Language Model to Domain Specific RAG taaft Pretraining Large Language Models (LLMs) on large corpora of textual data is now a standard paradig… 2024-03-15 published
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RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation taaft Retrieval-Augmented Generation (RAG) has shown significant improvements in various natural language… 2024-04-18 published
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RailSyn: Diagnosis-Guided Image Generation for Traceable Data Completion in Railway Foreign Object Detection taaft Railway foreign object detection (RFOD) is critical to safe railway operation, yet scarce real posi… 2026-08-31 published
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Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning taaft Large language models achieve superior performance on tasks that require extended reasoning, but lo… 2026-09-03 published
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Random Forest-Informed Cellular Automaton for Large-Scale Wildfire Spread Modelling taaft Accurate large-scale wildfire spread modelling requires models that capture both the environmental… 2026-09-01 published
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Rank-Deviation Quality: A Distance-Aware Metric for Multi-Answer Retrieval and Ranking Evaluation taaft We introduce Rank-Deviation Quality (RDQ), an evaluation metric for retrieval and ranking systems t… 2026-08-26 published
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Ranked by the Matcher: A Reproducibility Audit of Knowledge Graph Extraction from Threat Reports taaft Security teams and researchers choose knowledge-graph extraction tooling for threat reports on the… 2026-09-01 published
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RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models taaft Researchers have successfully applied large language models (LLMs) such as ChatGPT to reranking in… 2023-09-26 published
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RARF: Region-Aware Rectified Flows for 3D Brain MRI Inpainting taaft Medical image inpainting has the potential to improve automated brain MRI analysis by reconstructin… 2026-09-03 published
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RASA: Disentangled Spatial-Motional Priors for Cross-Identity Character Animation taaft Cross-identity character animation aims to drive a target identity from a reference image to follow… 2026-08-28 published
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Rateless DeepJSCC for Broadcast Channels: a Rate-Distortion-Complexity Tradeoff taaft In recent years, numerous data-intensive broadcasting applications have emerged at the wireless edg… 2026-03-23 published
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RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series Forecasting taaft Retrieval-augmented generation (RAG) complements parametric models with retrieved external evidence… 2026-09-03 published
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Reachability-Based Capability Confinement for LLM Agents under Indirect Prompt Injection taaft Large language model agents place outputs from external skills into their execution context, allowi… 2026-08-30 published
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Reactivating Test-Time Scaling for Plane Geometry Problem Solving taaft Plane geometry problem (PGP) solving has become a critical benchmark for multimodal reasoning becau… 2026-08-31 published
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Read It Back: Pretrained MLLMs Are Zero-Shot Reward Models for Text-to-Image Generation taaft In this paper, we propose SpectraReward, a training-free reward function that turns pretrained MLLM… 2026-07-13 published
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Read the Room, Read the Image: Understanding Indirect Speech Acts in Multimodal Visual Contexts taaft Indirect speech acts (ISAs) require pragmatic reasoning over context, as directive intent can- not… 2026-08-31 published
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Reading Is Not Using: Retrieval, Judgment, and the Design of AI Financial Research Workflows taaft Large language models (LLMs) are increasingly deployed as AI analysts to process financial disclosu… 2026-08-25 published
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ReaDiT Guidance: Control for Image and Video Generation using Diffusion Transformer Features taaft We present DiT Readout (ReaDiT) Guidance, a lightweight framework for controlling generation with D… 2026-09-04 published
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READY or Not: Reliable Enterprise Agent Deployment taaft An AI agent can perform well on benchmarks and still be unsuitable for deployment. Existing AI-agen… 2026-09-02 published
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Ready to Speak: Aligning LLMs for TTS-Friendly Text Generation taaft Current Large Language Models (LLMs) are primarily optimized for written text, often producing outp… 2026-09-01 published
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Real-Time Branch-to-Tool Distance Estimation for Autonomous UAV Pruning: Benchmarking Five DEFOM-Stereo Variants from Simulation to Jetson Deployment taaft Autonomous tree pruning with unmanned aerial vehicles (UAVs) is a safety-critical real-world task:… 2026-03-27 published
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Real-Time Monitoring of MHD Liquid Metal Flows with Shallow Recurrent Decoders taaft State estimation in magnetohydrodynamic flows is critical for real-time monitoring of liquid metal… 2026-08-28 published
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Real-Time Neuromorphic Spectrum Intelligence Simulator taaft We present the Real-Time Neuromorphic Spectrum Intelligence Simulator (RT-NuSIS), a modular framewo… 2026-09-01 published
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Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detection taaft High-dynamic-range (HDR) images, with their rich tone and detail reproduction, hold significant pot… 2026-08-31 published
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Real-Time Video Anomaly Detection Using YOLO Pose Estimation and CLIP-Based Semantic Scoring taaft We propose a lightweight two-stage framework for real-time video anomaly detection. The first stage… 2026-08-31 published
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Real-time virtual circuits for plasma shape control via neural network emulators: experimental demonstration on MAST Upgrade taaft Conventional plasma shape control in tokamaks relies on virtual circuits (VCs) that are computed of… 2026-08-28 published
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Real-Valued Hyperdimensional Sequence Representations with Hadamard Product Binding and Shift Equivariance taaft Encoding temporal order is a fundamental requirement for sequence representations in Hyperdimension… 2026-08-28 published
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Real-World Multi-Modal and Longitudinal Lung Cancer Dataset taaft Multi-modal learning has demonstrated strong potential in medical applications by integrating heter… 2026-09-04 published
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RealCAD: Towards Real-World Image-to-CAD Reconstruction under Domain Shift and Parameter Bias taaft Reconstructing editable Computer-Aided Design (CAD) models from images is essential for downstream… 2026-08-31 published
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RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requests taaft Coding agents are now commonly evaluated on the SWE-bench family of benchmarks, whose tasks are bui… 2026-08-28 published
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REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers taaft Tabular data is a common form of organizing data. Multiple models are available to generate synthet… 2023-02-04 published
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Reasoning about In-Context Samples for Machine-Translation taaft Large Language Models (LLMs) can be trained to perform chain-of-thoughts reasoning in order to impr… 2026-08-27 published
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Reasoning over mathematical objects: on-policy reward modeling and test time aggregation taaft The ability to precisely derive mathematical objects is a core requirement for downstream STEM appl… 2026-03-19 published