The Role of Diversity in In-Context Learning for Large Language Models | Paper Citation Record

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This paper cites What learning algorithm is in-context learning? investigations with linear models.

The Role of Diversity in In-Context Learning for Large Language Models What learning algorithm is in-context learning? investigations with linear models

Reference 1

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This paper cites How do in-context examples affect compositional generalization? In Anna Rogers, Jordan L.

The Role of Diversity in In-Context Learning for Large Language Models How do in-context examples affect compositional generalization? In Anna Rogers, Jordan L

Reference 2

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This paper cites Skill-based few-shot selection for in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models Skill-based few-shot selection for in-context learning

Reference 3

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This paper cites A Theory for Emergence of Complex Skills in Language Models.

The Role of Diversity in In-Context Learning for Large Language Models A Theory for Emergence of Complex Skills in Language Models

Reference 4

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This paper cites Language models are few-shot learners.

The Role of Diversity in In-Context Learning for Large Language Models Language models are few-shot learners

Reference 5

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This paper cites Data curation alone can stabilize in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models Data curation alone can stabilize in-context learning

Reference 6

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

The Role of Diversity in In-Context Learning for Large Language Models Fast greedy map inference for determinantal point process to improve recommendation diversity

Reference 7

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Observation 1f76aa18-aa7f-48b4-a8eb-519da07ffb1d · outbound

This paper cites On the relation between sensitivity and accuracy in in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models On the relation between sensitivity and accuracy in in-context learning

Reference 8

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Observation 5b080a85-8b72-49ac-945f-6597c665bf4e · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

The Role of Diversity in In-Context Learning for Large Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 9

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This paper cites Training Verifiers to Solve Math Word Problems.

The Role of Diversity in In-Context Learning for Large Language Models Training Verifiers to Solve Math Word Problems

Reference 10

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Observation 0e3bc7e4-554e-44c0-b2fb-9d8974f5a26e · outbound

This paper cites Cook, John P.

The Role of Diversity in In-Context Learning for Large Language Models Cook, John P

Reference 11

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Observation 2ae54ca4-1c31-4e51-891e-2ad1b340d667 · outbound

This paper cites Why can gpt learn in-context? language models secretly perform gradient descent as meta-optimizers.

The Role of Diversity in In-Context Learning for Large Language Models Why can gpt learn in-context? language models secretly perform gradient descent as meta-optimizers

Reference 12

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Observation 4cde1ff0-ca09-4f90-bf6e-c463646f354a · outbound

This paper cites In-context learning and gradient descent revisited.

The Role of Diversity in In-Context Learning for Large Language Models In-context learning and gradient descent revisited

Reference 13

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Observation 1307657f-a25f-458d-8f68-47d2f2c4439c · outbound

This paper cites Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving.

The Role of Diversity in In-Context Learning for Large Language Models Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving

Reference 14

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Observation d92d744a-7034-464e-aa3d-b57b6a2cf335 · outbound

This paper cites The Llama 3 Herd of Models.

The Role of Diversity in In-Context Learning for Large Language Models The Llama 3 Herd of Models

Reference 15

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This paper cites Constructing effective in-context demonstration for code intelligence tasks: An empirical study.

The Role of Diversity in In-Context Learning for Large Language Models Constructing effective in-context demonstration for code intelligence tasks: An empirical study

Reference 16

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This paper cites What can transformers learn in-context? a case study of simple function classes.

The Role of Diversity in In-Context Learning for Large Language Models What can transformers learn in-context? a case study of simple function classes

Reference 17

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This paper cites DUAL: Diversity and Uncertainty Active Learning for Text Summarization.

The Role of Diversity in In-Context Learning for Large Language Models DUAL: Diversity and Uncertainty Active Learning for Text Summarization

Reference 18

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Observation a36d1eba-5a15-47e5-829d-e22a6c2f3897 · outbound

This paper cites Coverage-based example selection for in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models Coverage-based example selection for in-context learning

Reference 19

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This paper cites Mistral 7B.

The Role of Diversity in In-Context Learning for Large Language Models Mistral 7B

Reference 20

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This paper cites A Latent Space Theory for Emergent Abilities in Large Language Models.

The Role of Diversity in In-Context Learning for Large Language Models A Latent Space Theory for Emergent Abilities in Large Language Models

Reference 21

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This paper cites Dense passage retrieval for open-domain question answering.

The Role of Diversity in In-Context Learning for Large Language Models Dense passage retrieval for open-domain question answering

Reference 22

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This paper cites Diverse demonstrations improve in-context compositional generalization.

The Role of Diversity in In-Context Learning for Large Language Models Diverse demonstrations improve in-context compositional generalization

Reference 23

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This paper cites Gsm-plus: A comprehensive benchmark for evaluating the robustness of llms as mathematical problem solvers.

The Role of Diversity in In-Context Learning for Large Language Models Gsm-plus: A comprehensive benchmark for evaluating the robustness of llms as mathematical problem solvers

Reference 24

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This paper cites The Closeness of In-Context Learning and Weight Shifting for Softmax Regression.

The Role of Diversity in In-Context Learning for Large Language Models The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

Reference 25

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Observation 59723463-df5b-43cf-b0f7-20a7880f77b4 · outbound

This paper cites Finding support examples for in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models Finding support examples for in-context learning

Reference 26

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This paper cites Finding Support Examples for In-Context Learning.

The Role of Diversity in In-Context Learning for Large Language Models Finding Support Examples for In-Context Learning

Reference 27

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This paper cites Transformers as algorithms: Generalization and stability in in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models Transformers as algorithms: Generalization and stability in in-context learning

Reference 28

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This paper cites Let's Verify Step by Step.

The Role of Diversity in In-Context Learning for Large Language Models Let's Verify Step by Step

Reference 29

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This paper cites What Makes Good In-Context Examples for GPT-$3$?.

The Role of Diversity in In-Context Learning for Large Language Models What Makes Good In-Context Examples for GPT-$3$?

Reference 30

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This paper cites Lost in the middle: How language models use long contexts.

The Role of Diversity in In-Context Learning for Large Language Models Lost in the middle: How language models use long contexts

Reference 31

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This paper cites Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity.

The Role of Diversity in In-Context Learning for Large Language Models Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

Reference 32

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This paper cites Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity.

The Role of Diversity in In-Context Learning for Large Language Models Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity

Reference 33

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This paper cites Dr.ICL: Demonstration-Retrieved In-context Learning.

The Role of Diversity in In-Context Learning for Large Language Models Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 34

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This paper cites In-context Learning with Retrieved Demonstrations for Language Models: A Survey.

The Role of Diversity in In-Context Learning for Large Language Models In-context Learning with Retrieved Demonstrations for Language Models: A Survey

Reference 35

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This paper cites Problem-solving logic guided curriculum in-context learning for llms complex reasoning, 2025.

The Role of Diversity in In-Context Learning for Large Language Models Problem-solving logic guided curriculum in-context learning for llms complex reasoning, 2025

Reference 36

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This paper cites Learning word vectors for sentiment analysis.

The Role of Diversity in In-Context Learning for Large Language Models Learning word vectors for sentiment analysis

Reference 37

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This paper cites Hidden factors and hidden topics: understanding rating dimensions with review text.

The Role of Diversity in In-Context Learning for Large Language Models Hidden factors and hidden topics: understanding rating dimensions with review text

Reference 38

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The Role of Diversity in In-Context Learning for Large Language Models Unresolved cited work

Reference 39

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This paper cites What in-context learning “learns” in-context: Disentangling task recognition and task learning.

The Role of Diversity in In-Context Learning for Large Language Models What in-context learning “learns” in-context: Disentangling task recognition and task learning

Reference 40

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This paper cites In-Context Learning with Iterative Demonstration Selection.

The Role of Diversity in In-Context Learning for Large Language Models In-Context Learning with Iterative Demonstration Selection

Reference 41

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This paper cites SQ u AD : 100,000+ questions for machine comprehension of text.

The Role of Diversity in In-Context Learning for Large Language Models SQ u AD : 100,000+ questions for machine comprehension of text

Reference 42

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This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

The Role of Diversity in In-Context Learning for Large Language Models Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 43

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This paper cites Learning to retrieve prompts for in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models Learning to retrieve prompts for in-context learning

Reference 44

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This paper cites RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning.

The Role of Diversity in In-Context Learning for Large Language Models RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning

Reference 45

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

The Role of Diversity in In-Context Learning for Large Language Models Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 46

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This paper cites Do pretrained Transformers Learn In-Context by Gradient Descent?.

The Role of Diversity in In-Context Learning for Large Language Models Do pretrained Transformers Learn In-Context by Gradient Descent?

Reference 47

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The Role of Diversity in In-Context Learning for Large Language Models Diversifying convex transductive experimental design for active learning

Reference 48

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This paper cites Smith, and Tao Yu.

The Role of Diversity in In-Context Learning for Large Language Models Smith, and Tao Yu

Reference 49

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This paper cites Smith, and Yejin Choi.

The Role of Diversity in In-Context Learning for Large Language Models Smith, and Yejin Choi

Reference 50

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This paper cites Commonsenseqa: A question answering challenge targeting commonsense knowledge.

The Role of Diversity in In-Context Learning for Large Language Models Commonsenseqa: A question answering challenge targeting commonsense knowledge

Reference 51

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This paper cites Using multiple clause constructors in inductive logic programming for semantic parsing.

The Role of Diversity in In-Context Learning for Large Language Models Using multiple clause constructors in inductive logic programming for semantic parsing

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:41.447947Z

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Observation 9ada3b25-0b09-4fc1-9b7b-13d2a0a365b2 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

The Role of Diversity in In-Context Learning for Large Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 53

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This paper cites Transformers learn in-context by gradient descent.

The Role of Diversity in In-Context Learning for Large Language Models Transformers learn in-context by gradient descent

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:41.280961Z

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This paper cites Uncovering mesa-optimization algorithms in Transformers.

The Role of Diversity in In-Context Learning for Large Language Models Uncovering mesa-optimization algorithms in Transformers

Reference 55

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This paper cites Contributing Dimension Structure of Deep Feature for Coreset Selection.

The Role of Diversity in In-Context Learning for Large Language Models Contributing Dimension Structure of Deep Feature for Coreset Selection

Reference 56

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Observation be5edba7-b4a4-4167-90d8-253b7409fde1 · outbound

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

The Role of Diversity in In-Context Learning for Large Language Models Diversity Measurement and Subset Selection for Instruction Tuning Datasets

Reference 57

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Observation 561cce07-2d34-4d0b-a6da-8d24671ad1ed · outbound

This paper cites Large language models are implicitly topic models: Explaining and finding good demonstrations for in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models Large language models are implicitly topic models: Explaining and finding good demonstrations for in-context learning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:41.248263Z

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Observation c49dabba-4ec1-4428-b127-1210c2bbe75b · outbound

This paper cites Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning.

The Role of Diversity in In-Context Learning for Large Language Models Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:21:38.755009Z

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Observation 2269c8a6-5a87-4b35-9474-9d25d459d4d2 · outbound

This paper cites Crowdsourcing multiple choice science questions.

The Role of Diversity in In-Context Learning for Large Language Models Crowdsourcing multiple choice science questions

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:21:38.790176Z

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Observation 6757ccb6-455c-4e95-a891-9d18ec526ab9 · outbound

This paper cites The learnability of in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models The learnability of in-context learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T14:21:38.799311Z

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Observation c9cf2d09-282c-4f89-92f6-b28f33977bce · outbound

This paper cites Self-adaptive in-context learning: An information compression perspective for in-context example selection and ordering.

The Role of Diversity in In-Context Learning for Large Language Models Self-adaptive in-context learning: An information compression perspective for in-context example selection and ordering

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:41.096528Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2bb3c6e0-f971-405e-a11e-22101ea4bd6a · outbound

This paper cites An explanation of in-context learning as implicit bayesian inference.

The Role of Diversity in In-Context Learning for Large Language Models An explanation of in-context learning as implicit bayesian inference

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:40.962002Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation af16b353-f9b0-49b6-847c-a6ed7d33b486 · outbound

This paper cites Representative demonstration selection for in-context learning with two-stage determinantal point process.

The Role of Diversity in In-Context Learning for Large Language Models Representative demonstration selection for in-context learning with two-stage determinantal point process

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:40.875365Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 28bc02ca-1ff1-480e-83c7-0f278701ddc0 · outbound

This paper cites An empirical study of GPT-3 for few-shot knowledge-based VQA.

The Role of Diversity in In-Context Learning for Large Language Models An empirical study of GPT-3 for few-shot knowledge-based VQA

Reference 65

Resolution: malformed identifier; no resolver link, observed 2026-08-07T14:21:38.922780Z

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Observation 90b8b3af-b761-4bb4-91e6-c538ca2d1e29 · outbound

This paper cites Complementary explanations for effective in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models Complementary explanations for effective in-context learning

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:40.781182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f54702de-00da-4a1d-a1ae-f9980bc4a2ab · outbound

This paper cites Ground-truth labels matter: A deeper look into input-label demonstrations.

The Role of Diversity in In-Context Learning for Large Language Models Ground-truth labels matter: A deeper look into input-label demonstrations

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:40.610923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0c695d21-ecf3-4cc7-b7da-5f8747c50658 · outbound

This paper cites SKILL-MIX: a flexible and expandable family of evaluations for AI models.

The Role of Diversity in In-Context Learning for Large Language Models SKILL-MIX: a flexible and expandable family of evaluations for AI models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:40.475825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 05a09c60-bc33-4ab9-830d-015c686df96a · outbound

This paper cites Enhancing sample selection against label noise by cutting mislabeled easy examples, 2025.

The Role of Diversity in In-Context Learning for Large Language Models Enhancing sample selection against label noise by cutting mislabeled easy examples, 2025

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T14:21:39.149809Z

Source-reported events for the cited work

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Observation 7b4daca2-b0b6-4890-a363-80900a451023 · outbound

This paper cites Learning to parse database queries using inductive logic programming.

The Role of Diversity in In-Context Learning for Large Language Models Learning to parse database queries using inductive logic programming

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T14:21:39.237308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2917b736-4708-4d6c-a94e-839588e3bc20 · outbound

This paper cites Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning.

The Role of Diversity in In-Context Learning for Large Language Models Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T14:21:39.299158Z

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Observation 5a69ec50-a640-411c-8e54-ebb884022fea · outbound

This paper cites MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning.

The Role of Diversity in In-Context Learning for Large Language Models MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:21:39.586400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9ae05b38-8593-4134-aaaa-a950fe7cdccb · outbound

This paper cites What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization.

The Role of Diversity in In-Context Learning for Large Language Models What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T14:21:39.312528Z

Source-reported events for the cited work

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Observation 3a897d78-02ba-4a04-a9be-fd83a0f8dcae · outbound

This paper cites Automatic chain of thought prompting in large language models.

The Role of Diversity in In-Context Learning for Large Language Models Automatic chain of thought prompting in large language models

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:40.432977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 83c49586-ceba-41e6-af22-af2694d820cb · outbound

This paper cites Can models learn skill composition from examples? Advances in Neural Information Processing Systems, 37: 0 102393--102427, 2025.

The Role of Diversity in In-Context Learning for Large Language Models Can models learn skill composition from examples? Advances in Neural Information Processing Systems, 37: 0 102393--102427, 2025

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:40.405820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ed9e2187-33b8-4016-851c-9826fcf9e1f0 · outbound

This paper cites Calibrate before use: Improving few-shot performance of language models.

The Role of Diversity in In-Context Learning for Large Language Models Calibrate before use: Improving few-shot performance of language models

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:40.357793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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