Reference sources

References 553–576 of 766

553. REALM: Retrieval-Augmented Language Model Pre-Training

     Kelvin Guu; Kenton Lee; Zora Tung; Panupong Pasupat; Ming-Wei Chang
     2020
     Open original source ↗
     Referenced in (1)

     • Retrieval Is Part of the Model: Exposure, Evidence, and Training-Time Coupling

554. Recommendations for Key-Encapsulation Mechanisms

     Gorjan Alagic; Elaine Barker; Lily Chen; Dustin Moody; Angela Robinson; Hamilton Silberg; Noah Waller
     2025
     Open original source ↗
     Referenced in (1)

     • Replacing a Primitive Is Not Migrating a Protocol: Post-Quantum Key Establishment

555. Reconciling modern machine learning practice and the bias-variance trade-off

     Mikhail Belkin; Daniel Hsu; Siyuan Ma; Soumik Mandal
     2019
     Open original source ↗
     Referenced in (1)

     • When Fitting Noise Is Benign: Interpolation, Effective Rank, and the Geometry of Prediction

556. Refined Criteria for Gradual Typing

     Jeremy G. Siek; Michael M. Vitousek; Matteo Cimini; John Tang Boyland
     2015
     Open original source ↗
     Referenced in (1)

     • Types at the Boundary: Gradual Guarantees, Blame, and the Cost of Enforcement

557. Reflections on Trusting Trust

     Ken Thompson
     1984
     Open original source ↗
     Referenced in (1)

     • From Source to Artifact: Reproducible Builds and the Limits of Provenance

558. Regression of Glioblastoma after Chimeric Antigen Receptor T-Cell Therapy

     Christine E. Brown; Darya Alizadeh; Renate Starr; Lihong Weng; Jamie R. Wagner; Araceli Naranjo; Julie R. Ostberg; M. Suzette Blanchard; Julie Kilpatrick; Jennifer Simpson; Anita Kurien; Saul J. Priceman; Xiuli Wang; Todd L. Harshbarger; Massimo D’Apuzzo; Julie A. Ressler; Michael C. Jensen; Michael E. Barish; Mike Chen; Jana Portnow; Stephen J. Forman; Behnam Badie
     2016
     Open original source ↗
     Referenced in (1)

     • Recognition Is Only the Beginning: Engineering Cell Therapies across Solid-Tumor Barriers

559. RELION: Implementation of a Bayesian approach to cryo-EM structure determination

     Sjors H.W. Scheres
     2012
     Open original source ↗
     Referenced in (1)

     • A Molecule in Motion from Still Images: Cryo-EM Heterogeneity and the Limits of Reconstruction

560. Remote ATtestation procedureS (RATS) Architecture

     Henk Birkholz; Dave Thaler; Michael Richardson; Ned Smith; Wei Pan
     2023
     Open original source ↗
     Referenced in (1)

     • What an Attestation Establishes: Confidential Computing and the Remaining Trust Boundary

561. Renyi Differential Privacy

     Ilya Mironov
     2017
     Open original source ↗
     Referenced in (1)

     • Clipping Changes the Gradient Before Privacy Noise Arrives

562. REPLUG: Retrieval-Augmented Black-Box Language Models

     Weijia Shi; Sewon Min; Michihiro Yasunaga; Minjoon Seo; Rich James; Mike Lewis; Luke Zettlemoyer; Wen-tau Yih
     2023
     Open original source ↗
     Referenced in (1)

     • Retrieval Is Part of the Model: Exposure, Evidence, and Training-Time Coupling

563. Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning

     Francesca Bartolucci; Emmanuel de Bézenac; Bogdan Raonić; Roberto Molinaro; Siddhartha Mishra; Rima Alaifari
     2023
     Open original source ↗
     Referenced in (1)

     • Learning an Operator Across Grids: Resolution, Aliasing, and What Transfers

564. Representation Learning with Contrastive Predictive Coding

     Aaron van den Oord; Yazhe Li; Oriol Vinyals
     2018
     Open original source ↗
     Referenced in (1)

     • Contrastive Learning Between Alignment and Information Loss

565. Resolving the gravitational redshift across a millimetre-scale atomic sample

     Tobias Bothwell; Colin J. Kennedy; Alexander Aeppli; Dhruv Kedar; John M. Robinson; Eric Oelker; Alexander Staron; Jun Ye
     2022
     Open original source ↗
     Referenced in (1)

     • Time as a Measured Field: Optical Clock Networks, Correlated Errors and Relativistic Geodesy

566. Respecting causality is all you need for training physics-informed neural networks

     Sifan Wang; Shyam Sankaran; Paris Perdikaris
     2022
     Open original source ↗
     Referenced in (1)

     • Physics-Informed Learning Has a Scale: Residual Weighting, Units, and Error

567. Rethinking Attention with Performers

     Krzysztof Choromanski; Valerii Likhosherstov; David Dohan; Xingyou Song; Andreea Gane; Tamas Sarlos; Peter Hawkins; Jared Davis; Afroz Mohiuddin; Lukasz Kaiser; David Belanger; Lucy Colwell; Adrian Weller
     2020
     Open original source ↗
     Referenced in (1)

     • Rank Is Not a Capacity Certificate: Attention Bottlenecks Beyond the Score Matrix

568. Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

     Sewon Min; Xinxi Lyu; Ari Holtzman; Mikel Artetxe; Mike Lewis; Hannaneh Hajishirzi; Luke Zettlemoyer
     2022
     Open original source ↗
     Referenced in (1)

     • Learning Inside the Context: Bayesian Ambiguity and Algorithmic Imitation

569. Retreat of Pine Island Glacier controlled by marine ice-sheet instability

     L. Favier; G. Durand; S. L. Cornford; G. H. Gudmundsson; O. Gagliardini; F. Gillet-Chaulet; T. Zwinger; A. J. Payne; A. M. Le Brocq
     2014
     Open original source ↗
     Referenced in (1)

     • The Geometry of Ice-Sheet Instability: Grounding Lines, Feedbacks and Forecast Horizons

570. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

     Patrick Lewis; Ethan Perez; Aleksandra Piktus; Fabio Petroni; Vladimir Karpukhin; Naman Goyal; Heinrich Küttler; Mike Lewis; Wen-tau Yih; Tim Rocktäschel; Sebastian Riedel; Douwe Kiela
     2020
     Open original source ↗
     Referenced in (1)

     • Retrieval Is Part of the Model: Exposure, Evidence, and Training-Time Coupling

571. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

     Lewis et al.
     2020-05-22

     Source location: v4; section 2 and Table 1

     Source scope: RAG combines parametric generation and a nonparametric retrieved document store. NQ exact match: DPR 41.5, RAG-Token 44.1, RAG-Sequence 44.5 in this table.

     Inspected on: 2026-10-15

     Open original source ↗
     Referenced in (1)

     • 检索增强生成的证据工程：召回误差、引用归因与端到端可信性

572. Rigorous benchmarking in reasonable time

     Tomas Kalibera; Richard Jones
     2013
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     Referenced in (1)

     • When a Benchmark Supports a Claim: Experimental Units, Workload Mixtures, and Causal Validity

573. RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks

     Penić et al.
     2024-02-29

     Source location: Primary preprint: RNA-language-model transfer and unseen-family secondary-structure evaluation; not direct 3D equivalence.

     Inspected on: 2026-10-22

     Open original source ↗
     Referenced in (1)

     • RNA 结构预测的尺度鸿沟：语言表征、假结与构象集合的证据

574. RNA-guided DNA insertion with CRISPR-associated transposases

     Jonathan Strecker; Alim Ladha; Zachary Gardner; Jonathan L. Schmid-Burgk; Kira S. Makarova; Eugene V. Koonin; et al.
     2019-07-05

     Source location: Abstract; Fig. 5

     Source scope: RNA定位与转座插入相互耦合；细菌体系。

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     Referenced in (1)

     • 可编程大片段整合：RNA引导转座的定位、完整性与基因组代价

575. Robust deep learning–based protein sequence design using ProteinMPNN

     Dauparas et al.
     2022-09-15

     Source location: Abstract and Results; native sequence recovery is distinct from folding and functional validation.

     Inspected on: 2026-10-22

     Open original source ↗
     Referenced in (1)

     • 可编程蛋白设计的闭环：从生成骨架到可测量功能的条件概率

576. RoFormer: Enhanced Transformer with Rotary Position Embedding

     , , , , ,
     2021-04-20

     Source location: Abstract; 原文方法、理论和实验章节见作者原始论文链接

     Source scope: 一手论文；原文研究归属原作者。本文的推导示例与建议实验方案另行标注，不冒充原论文或本站实测。

     Inspected on: 2026-10-21

     Open original source ↗
     Referenced in (2)

     • 位置编码与长上下文：旋转相位、距离偏置和有效信息使用
     • 从注意力到 IO 感知执行：Transformer 的计算结构、复杂度与可复核分析