COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation | Paper Citation Record

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This paper cites Gone fishing: Neural active learning with fisher embeddings.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Gone fishing: Neural active learning with fisher embeddings

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This paper cites Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

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This paper cites Training con- nectionist networks with queries and selective sampling.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Training con- nectionist networks with queries and selective sampling

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This paper cites Leaving Reality to Imagination: Robust Classification via Generated Datasets.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Leaving Reality to Imagination: Robust Classification via Generated Datasets

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation The power of ensembles for active learning in image classification

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This paper cites The fifth PASCAL recog- nizing textual entailment challenge.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation The fifth PASCAL recog- nizing textual entailment challenge

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This paper cites Truong, Stephen Mussmann, Yinglun Zhu, Jeff A.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Truong, Stephen Mussmann, Yinglun Zhu, Jeff A

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This paper cites Deep submodular peripteral networks.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Deep submodular peripteral networks

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This paper cites Submodularity In Machine Learning and Artificial Intelligence.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Submodularity In Machine Learning and Artificial Intelligence

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This paper cites Submarine: SUBModularity for ARtificial INtelligencE and machine learning.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Submarine: SUBModularity for ARtificial INtelligencE and machine learning

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This paper cites Retrieval-augmented diffusion models.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Retrieval-augmented diffusion models

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This paper cites Food-101 – mining discriminative components with random forests.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Food-101 – mining discriminative components with random forests

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Unresolved cited work

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This paper cites SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model

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This paper cites The use of mmr, diversity-based reranking for reordering documents and pro- ducing summaries.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation The use of mmr, diversity-based reranking for reordering documents and pro- ducing summaries

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This paper cites Fast greedy map inference for determinantal point process to improve recommendation diversity.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Fast greedy map inference for determinantal point process to improve recommendation diversity

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This paper cites Lift yourself up: Retrieval-augmented text generation with self-memory.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Lift yourself up: Retrieval-augmented text generation with self-memory

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This paper cites Cimpoi, S.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Cimpoi, S

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This paper cites Batch active learning at scale.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Batch active learning at scale

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This paper cites Berg, Robert Nowak, Roshan Sumbaly, Matei Zaharia, and I.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Berg, Robert Nowak, Roshan Sumbaly, Matei Zaharia, and I

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This paper cites Support-vector net- works.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Support-vector net- works

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Cover and Joy A

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This paper cites Gao, Rui Yang, and Jeff Bilmes.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Gao, Rui Yang, and Jeff Bilmes

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This paper cites Imagenet: A large-scale hierarchical image database.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Imagenet: A large-scale hierarchical image database

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Jointly optimising relevance and diversity in image retrieval

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This paper cites Dolan and Chris Brockett.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Dolan and Chris Brockett

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This paper cites Adversarial Active Learning for Deep Networks: a Margin Based Approach.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Adversarial Active Learning for Deep Networks: a Margin Based Approach

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This paper cites Not all features matter: Enhancing few-shot clip with adaptive prior refinement.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Not all features matter: Enhancing few-shot clip with adaptive prior refinement

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This paper cites Amu-tuning: Effective logit bias for clip-based few-shot learning.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Amu-tuning: Effective logit bias for clip-based few-shot learning

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This paper cites Model- agnostic meta-learning for fast adaptation of deep networks.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Model- agnostic meta-learning for fast adaptation of deep networks

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation The vendi score: A diversity evaluation metric for machine learning

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Submodular functions and optimization

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This paper cites Datacomp: In search of the next generation of multimodal datasets, 2023.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Datacomp: In search of the next generation of multimodal datasets, 2023

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Deep bayesian active learning with image data

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Clip-adapter: Better vision-language models with feature adapters, 2021

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Deep Active Learning over the Long Tail

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This paper cites The unmet promise of synthetic training images: Using retrieved real images performs better, 2024.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation The unmet promise of synthetic training images: Using retrieved real images performs better, 2024

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Bilmes, and Himanshu Asnani

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This paper cites Generalized submodular information measures: Theoretical properties, examples, optimization algorithms, and applications.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Generalized submodular information measures: Theoretical properties, examples, optimization algorithms, and applications

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This paper cites Leveraging passage retrieval with generative models for open domain question answering.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Leveraging passage retrieval with generative models for open domain question answering

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This paper cites Atlas: Few-shot learning with retrieval augmented language mod- els, 2022.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Atlas: Few-shot learning with retrieval augmented language mod- els, 2022

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Task agnostic meta-learning for few-shot learning

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Jegelka and J

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This paper cites Submodularity beyond submodular energies: Coupling edges in graph cuts.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Submodularity beyond submodular energies: Coupling edges in graph cuts

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This paper cites Le, Yunhsuan Sung, Zhen Li, and Tom Duerig.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Le, Yunhsuan Sung, Zhen Li, and Tom Duerig

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Billion- scale similarity search with GPUs

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Data-efficient contrastive self-supervised learning: Most beneficial exam- ples for supervised learning contribute the least

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Large language models struggle to learn long-tail knowledge

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Orient: Submodular mutual information measures for data subset selection under distribution shift

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Similar: Submodular information mea- sures based active learning in realistic scenarios

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Similar: Submodular information mea- 10 sures based active learning in realistic scenarios

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Prism: A rich class of pa- rameterized submodular information measures for guided subset selection, 2022

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Determinantal point pro- cesses for machine learning

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Retrieval-augmented generation for knowledge-intensive nlp tasks

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This paper cites Learning question classifiers.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Learning question classifiers

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This paper cites A class of submodular functions for document summarization.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation A class of submodular functions for document summarization

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This paper cites Learning Mixtures of Submodular Shells with Application to Document Summarization.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Learning Mixtures of Submodular Shells with Application to Document Summarization

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This paper cites Learning customized visual models with retrieval-augmented knowledge, 2023.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Learning customized visual models with retrieval-augmented knowledge, 2023

Reference 58

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Reference 59

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Submodular feature selection for high- dimensional acoustic score spaces

Reference 60

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This paper cites Fine-grained visual clas- sification of aircraft, 2013.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Fine-grained visual clas- sification of aircraft, 2013

Reference 61

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This paper cites Active learning principles for in-context learning with large language models.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Active learning principles for in-context learning with large language models

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:13.077679Z

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Accelerated greedy algorithms for maximiz- ing submodular set functions

Reference 63

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Coresets for data-efficient training of machine learning mod- els

Reference 64

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This paper cites An analysis of approximations for maximizing sub- modular set functions—i.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation An analysis of approximations for maximizing sub- modular set functions—i

Reference 65

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This paper cites On First-Order Meta-Learning Algorithms.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation On First-Order Meta-Learning Algorithms

Reference 66

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Automated flower classification over a large number of classes

Reference 67

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation

Reference 68

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation TADAM: Task dependent adaptive metric for improved few-shot learning

Reference 69

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Observation fcc25328-41e8-4f00-8602-173d95785035 · outbound

This paper cites Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Reference 70

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Observation 17f86ff3-9351-4228-8cd5-edbc76db381e · outbound

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 71

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation What does a platypus look like? Generating customized prompts for zero-shot image classification

Reference 72

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This paper cites Learning transferable visual models from natural language supervision, 2021.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Learning transferable visual models from natural language supervision, 2021

Reference 73

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This paper cites Meta-learning with implicit gradients, 2019.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Meta-learning with implicit gradients, 2019

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:12.997939Z

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This paper cites In-context retrieval-augmented language models.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation In-context retrieval-augmented language models

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:12.983009Z

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Observation b9ef8be9-7f09-4216-9773-93e8f8f03795 · outbound

This paper cites Do ImageNet Classifiers Generalize to ImageNet?.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Do ImageNet Classifiers Generalize to ImageNet?

Reference 76

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 77

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Learn- ing to retrieve prompts for in-context learning, 2022

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:12.968089Z

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Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:22:12.955329Z

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Observation b3157b00-2c67-47f7-9316-fb968d9ff766 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models, 2022.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Laion-5b: An open large-scale dataset for training next generation image-text models, 2022

Reference 80

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This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 81

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Active learning for con- volutional neural networks: A core-set approach

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:12.933213Z

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This paper cites From theories to queries: Active learning in practice.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation From theories to queries: Active learning in practice

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:12.920508Z

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This paper cites On greedy maximization of entropy.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation On greedy maximization of entropy

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:12.907980Z

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation REPLUG: Retrieval-Augmented Black-Box Language Models

Reference 85

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Retrieval augmentation reduces hallucination in conversation

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:12.895441Z

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Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:22:12.882977Z

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COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Manning, Andrew Ng, and Christopher Potts

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:12.871263Z

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This paper cites Smith, and Tao Yu.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Smith, and Tao Yu

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:12.860171Z

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Observation da340e1b-d650-4dbb-b84d-3114c06b7744 · outbound

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Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:22:12.847544Z

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Observation 57fd3a89-ab64-47a5-868b-24e816548663 · outbound

This paper cites A comparative study of diversity methods for hybrid text and image retrieval approaches.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation A comparative study of diversity methods for hybrid text and image retrieval approaches

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:12.835514Z

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This paper cites Sus-x: Training-free name-only transfer of vision-language models, 2023.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Sus-x: Training-free name-only transfer of vision-language models, 2023

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:12.823083Z

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This paper cites Matching networks for one shot learning.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Matching networks for one shot learning

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:12.810587Z

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Observation d39ff1ec-266f-4b52-892e-42de8e2518ab · outbound

This paper cites Neural priming for sample- efficient adaptation.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Neural priming for sample- efficient adaptation

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:12.797545Z

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Observation b62d97e9-913b-4d46-aa14-738000817773 · outbound

This paper cites GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:12.785173Z

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Observation 144f34bb-7bc2-4426-94da-49682bc6562a · outbound

This paper cites Diversity Measurement and Subset Selection for Instruction Tuning Datasets.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Diversity Measurement and Subset Selection for Instruction Tuning Datasets

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-11T05:22:11.953341Z

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Observation 4504b4b3-4587-4b45-9c15-31685214653f · outbound

This paper cites Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-11T05:22:11.958325Z

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Observation cc69ff04-584c-421e-b0a6-93f691742e2d · outbound

This paper cites Submodularity in data subset selection and active learning.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Submodularity in data subset selection and active learning

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:12.771036Z

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Observation 256313ad-3deb-4881-acf7-246c588ddcd8 · outbound

This paper cites Diverse Diffusion: Enhancing Image Diversity in Text-to-Image Generation.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Diverse Diffusion: Enhancing Image Diversity in Text-to-Image Generation

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-11T05:22:11.967743Z

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Observation b8622af6-5981-4139-b0da-6feb484c05d9 · outbound

This paper cites Zancato, A.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Zancato, A

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:12.758841Z

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