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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. Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models taaft Diffusion and flow-matching models scale because pretraining is supervised regression: a clean samp… 2026-05-11 published
  2. Reinforcement Learning and Rule-Based Peer-to-Peer Pricing in Residential PV-BES Communities taaft This paper compares rule-based and learning-based pricing mechanisms for peer-to-peer (P2P) electri… 2026-09-01 published
  3. Reinforcement Learning for improving Large Language Models' Catalan text simplification capabilities taaft Although automatic text simplification (ATS) is critical for accessibility, its progress has not ma… 2026-09-04 published
  4. Reinforcement learning for quantum processes with memory taaft In reinforcement learning, an agent interacts sequentially with an environment to maximize a reward… 2026-03-26 published
  5. Reinforcement Learning for Sequential Solar PV Policy Design under Uncertainty: An Agent-Based Approach taaft Designing effective and fiscally sustainable policies for solar photovoltaic (PV) adoption requires… 2026-09-04 published
  6. Reinforcement Learning for Symbolic Equation Solving taaft We present a reinforcement-learning agent that solves symbolic equations step by step, covering bot… 2026-08-31 published
  7. Reinforcement learning to choose optimizers taaft No single optimization method is uniformly best for all problems, and the most suitable optimizer c… 2026-09-01 published
  8. Reinforcement Learning-Based Laser Cutting Machine Parameter Optimization taaft Achieving high accuracy in laser-based cutting of optical films requires careful tuning of paramete… 2026-08-11 published
  9. Reinforcement Learning-Guided Evolutionary Policy Optimization for Preference-Adjustable Heterogeneous Agile Earth Observation Satellite Scheduling taaft Heterogeneous agile Earth observation satellite (AEOS) scheduling requires task selection, satellit… 2026-08-25 published
  10. REINS: Refusal-Enhanced Inhibitory Steering with Sparse Autoencoder Features taaft Steering with Sparse Autoencoders (SAEs) offers a lightweight inference-time path for adapting the… 2026-08-28 published
  11. Relational Task Generation Language: A Declarative Specification Framework for Relational Deep Learning taaft Relational Deep Learning (RDL) has become a powerful paradigm for learning from multi-tabular data.… 2026-09-01 published
  12. ReLU Fields: The Little Non-linearity That Could taaft In many recent works, multi-layer perceptions (MLPs) have been shown to be suitable for modeling co… 2022-05-22 published
  13. Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection taaft Cross-domain few-shot object detection (CD-FSOD) aims to adapt pretrained detectors from a source d… 2026-03-19 published
  14. Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents taaft In long-horizon tasks, decision-relevant state is often scattered across an expanding trajectory, w… 2026-07-09 published
  15. ReMemNav: A Rethinking and Memory-Augmented Framework for Zero-Shot Object Navigation taaft Zero-shot object navigation requires agents to locate unseen targets in unfamiliar environments wit… 2026-03-25 published
  16. Rendering-in-the-Loop: An Execution-Driven Agent for Interactive Web Development taaft Multimodal large language models have achieved remarkable progress in front-end web development, ge… 2026-09-02 published
  17. Rent-a-RAG: Embedding-Space Watermarks for Auditing Third-Party RAG taaft Third-party retrieval-augmented generation (RAG) marketplaces create a new auditing problem: data p… 2026-09-03 published
  18. RePair: Turning Retrieval Failures into Counterfactual Hard Pairs taaft Vision-language retrieval with CLIP-style dual encoders achieves strong cross-modal performance, ye… 2026-08-30 published
  19. Repeatability Characterisation and Error Budget of a Consumer Structured-Light Scanner for 3-D Wound Geometry:A Rigid-Phantom Study taaft We characterise the measurement error of a free- hand consumer structured-light scanner used to der… 2026-08-31 published
  20. Repeated Queries Exhaust an LLM's Brand Recommendations but Not Its Sources taaft Repeated-query audits must distinguish recovery of a collected set from completeness of possible ou… 2026-09-04 published
  21. Replicating TRACE: A Practitioner's Guide to Its Threshold and Particle Budget taaft TRACE (Math & Lienhart, arXiv:2602.01135) reads causal graphs over event types out of a pretrained… 2026-09-01 published
  22. Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills taaft Autonomous agents are beginning to carry out machine-learning (ML) research end to end. These agent… 2026-09-02 published
  23. REPOFUSE: Repository-Level Code Completion with Fused Dual Context taaft The success of language models in code assistance has spurred the proposal of repository-level code… 2024-02-22 published
  24. RepoFusion: Training Code Models to Understand Your Repository taaft Despite the huge success of Large Language Models (LLMs) in coding assistants like GitHub Copilot,… 2023-06-19 published
  25. Representation of syntax in LLMs through the lens of linear distance and similarity-aware entropy taaft Structural probes were introduced by Hewitt and Manning to reconstruct syntactic trees from a neura… 2026-08-28 published
  26. Representation Redundancy and Structural Complexity in Finite-Field Inversion taaft The representation chosen for a mathematical operation can affect both its algebraic form and its e… 2026-09-04 published
  27. Representational alignment yields generalizable safety in language models taaft Aligning large language models (LLMs) is essential for their safe deployment. Current alignment met… 2026-09-03 published
  28. ReqFusion: A Multi-Provider Framework for Automated PEGS Analysis Across Software Domains taaft Requirements engineering is a vital, yet labor-intensive, stage in the software development process… 2026-03-24 published
  29. Requential Coding: Pushing the Limits of Model Compression with Self-Generated Training Data taaft Compression is fundamental to intelligence. A model that can represent its training data as a short… 2026-07-13 published
  30. ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models taaft Recent advancement in text-to-image models (e.g., Stable Diffusion) and corresponding personalized… 2024-03-04 published
  31. Research Design Tracking and Assessment for the Social Sciences taaft Reliable assessment of causal research designs in the social sciences is critical for evidence-base… 2026-08-27 published
  32. Residual neural networks overcome the curse of dimensionality for semilinear heat equations taaft Rigorous results show that feedforward neural networks can overcome the curse of dimensionality in… 2026-09-03 published
  33. Residual Sparsification via Output Importance for Compressing Mixture-of-Experts LLMs taaft Mixture-of-experts (MoE) architectures scale large language models efficiently, but they demand mas… 2026-09-01 published
  34. Residual-Guided Randomized Neural Networks taaft Randomized neural networks enable fast and analytically tractable training by fixing the input to h… 2026-08-28 published
  35. Resilience Beyond Stationary Client Unavailability: Unlocking Efficient and Unbiased Federated Learning taaft Due to resource constraints or external and internal uncertainties, clients in real-world federated… 2026-09-04 published
  36. Resilient Decentralized Wireless Federated Learning via Gradient Tracking with AdamW taaft Wireless Internet-of-Things (IoT) edge networks require decentralized learning (DecL) methods that… 2026-08-26 published