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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Rhythms of Work: Multi-Scale Interpretation of Human Behavioral Traces for Workplace Agents taaft Runtime traces are becoming a central substrate for understanding agentic systems, yet interpretati… 2026-09-03 published
RideSkill: A Hierarchical Algorithm for Generalized Ride Sharing with LLM-Driven Automatic Evolution taaft Ride-sharing, which allows multiple passengers with different origin-destination (OD) pairs to shar… 2026-09-02 published
RIDGE: Region-Informed Derivative-Guided Evidence Selection for Long Video Understanding taaft Long videos contain far more visual content than Large Vision-Language Models (LVLMs) can process u… 2026-08-30 published
Right Frame, Wrong Rule: Cultural Cues Expose the Financial Knowledge Gap They Were Meant to Close taaft When a question has valid answers under different normative frameworks, a language model must decid… 2026-09-01 published
Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning taaft Reinforcement learning with verifiable rewards without human-annotated data, often referred to as z… 2026-07-14 published
RINSE: Robust Target-Time Normality Estimation for Zero-Shot Graph Anomaly Detection taaft Zero-shot graph anomaly detection seeks to deploy a detector trained on source graphs to unseen, un… 2026-09-02 published
RISE: Recursive Improvement via Self-Extrapolating Policy Distillation taaft On-policy distillation (OPD) provides dense, per-token supervision for language model post-training… 2026-09-04 published
RiskBlend: A Multi-Signal Framework for Test Input Prioritization in Machine Learning Regression Testing taaft When machine learning classifiers are retrained, inputs correctly classified by the previous model… 2026-08-27 published
RLVR Training of LLMs Does Not Improve Thinking Ability for General QA: Evaluation Method and a Simple Solution taaft Reinforcement learning from verifiable rewards (RLVR) stimulates the thinking processes of large la… 2026-03-21 published
ROBE: Reversed-Order-Biased-Experts for Extracting Extreme Long-tail Events from Historical Texts taaft This paper proposes methods to extract over 50 types of events from a Dutch historical corpus spann… 2026-08-25 published
RoBERTa: A Robustly Optimized BERT Pretraining Approach Meta Platforms Language model pretraining has led to significant performance gains but careful comparison between… 2019-07-26 published
RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies taaft Generalist robot manipulation policies have advanced rapidly, yet existing benchmarks remain limite… 2026-07-05 published
RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks? taaft Vision-Language-Action (VLA) models have shown promising progress in language-conditioned robotic m… 2026-09-04 published
RoboTok: An Internet-Scale Data Engine for Human Demonstration Retrieval and Dexterous Manipulation Learning taaft Robot learning increasingly depends on broad and diverse demonstrations, yet collecting robot data… 2026-09-02 published
Robots Acquire Manipulation Skills in Seconds from a Single Human Video taaft The ability to acquire skills rapidly and effortlessly while retaining those already mastered is es… 2026-07-22 published
Robust Batch-Level Query Routing for Large Language Models under Cost and Capacity Constraints taaft We study the problem of routing queries to large language models (LLMs) under cost, GPU resources,… 2026-03-25 published
Robust Bayesian Inference for Unnormalized Models with Mixed-Domain Data taaft Many statistical models involve parameter-dependent normalizing constants that are computationally… 2026-09-01 published
Robust Broad Learning System with Wave Loss for Classification under Data Uncertainty taaft Broad Learning System (BLS) offers an efficient alternative to deep architectures by enabling fast… 2026-08-30 published
Robust CurveMoE: Multi-Norm Adversarial Defense for Mixture-of-Experts Models via Mode Connectivity taaft Multi-norm adversarial defense aims to protect neural networks against perturbations defined by dif… 2026-08-26 published
Robust One-Shot Singing Voice Conversion taaft Recent progress in deep generative models has improved the quality of voice conversion in the speec… 2022-10-20 published
Robust retinal biometrics for patient identity verification and retrieval across age and imaging devices taaft Patient identity errors can compromise longitudinal medical records, research databases, and downst… 2026-08-31 published
Robust Speech Recognition via Large-Scale Weak Supervision OpenAI We study the capabilities of speech processing systems trained simply to predict large amounts of t… 2022-12-06 published
Robustness Quantification and Uncertainty Quantification: Comparing Two Methods for Assessing the Reliability of Classifier Predictions taaft We consider two approaches for assessing the reliability of the individual predictions of a classif… 2026-03-24 published
Robustness Quantification for Discriminative Models: a New Robustness Metric and its Application to Dynamic Classifier Selection taaft Among the different possible strategies for evaluating the reliability of individual predictions of… 2026-03-24 published
RobustSeiz: An Open-Source Framework for Benchmarking the Robustness of EEG Seizure Detection Models taaft Despite strong performance on held-out electroencephalography (EEG) data, seizure detectors may fai… 2026-09-03 published
RoGe: Novel View Synthesis via End-to-End Implicit Reconstruction and Generation taaft Novel view synthesis from sparse inputs requires both geometric grounding from the observed views a… 2026-09-02 published
ROI-Gated SAHI: Content-Adaptive Slicing-Based Inference for Efficient Object Detection taaft Slicing-Aided Hyper Inference (SAHI) improves small object detection in high-resolution images but… 2026-08-25 published
Rotational Equivariance in Machine Learning: A Comprehensive Tutorial taaft Rotational symmetry is one of the most important structural principles in machine learning on 3D da… 2026-08-31 published
RotDroid: Cross-Orientation State Equivalence Testing for Detecting GUI Rotation Bugs in Android Apps taaft Screen rotation is a fundamental interaction in Android applications, but it often introduces non-c… 2026-08-26 published
RouteGraph-Mona: Confusion-Aware Routing Fine-Tuning for Mineral Image Classification taaft Mineral image classification is important for geological exploration and resource development, but… 2026-09-02 published
Routing Is Not Enough: Diagnosing Intra-Adapter Subspace Contention in MoE+LoRA Fine-Tuning taaft Multi-domain fine-tuning often combines MoE routing with LoRA, assuming that token-level routing se… 2026-09-02 published
RSFusionDet: Underwater RGB-Sonar Multimodal Object Detection taaft Underwater unimodal object detection faces many challenges in sensor imaging, such as optical image… 2026-08-26 published
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control taaft We study how vision-language models trained on Internet-scale data can be incorporated directly int… 2023-07-28 published
RubricEval: A Rubric-Level Meta-Evaluation Benchmark for LLM Judges in Instruction Following taaft Rubric-based evaluation has become a prevailing paradigm for evaluating instruction following in la… 2026-03-26 published
Rubrics as Visual-Repair Context for Self-Evolving UI-to-Code Generation taaft Large vision-language models have shown strong progress in UI-to-code generation, yet their test-ti… 2026-08-25 published
RuleMem: Active Rule Memory for Long-Term Conversational Agents taaft Question answering agents in long-term conversations must reason over massive, temporally dispersed… 2026-09-03 published