StaICC: Standardized Evaluation for Classification Task in In-context Learning | Paper Citation Record

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This paper cites Qwen2 Technical Report.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Qwen2 Technical Report

Reference 1

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This paper cites Enhancing In-context Learning via Linear Probe Calibration.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Enhancing In-context Learning via Linear Probe Calibration

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This paper cites Falcon-40B : an open large language model with state-of-the-art performance.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Falcon-40B : an open large language model with state-of-the-art performance

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Dbpedia: A nucleus for a web of open data

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Explaining neural scaling laws

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This paper cites Qwen Technical Report.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Qwen Technical Report

Reference 6

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Observation b09f5de5-5164-4882-8f5b-f7fc054a988e · outbound

This paper cites S em E val-2019 task 5: Multilingual detection of hate speech against immigrants and women in T witter.

StaICC: Standardized Evaluation for Classification Task in In-context Learning S em E val-2019 task 5: Multilingual detection of hate speech against immigrants and women in T witter

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StaICC: Standardized Evaluation for Classification Task in In-context Learning The fifth pascal recognizing textual entailment challenge

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Observation 7a946cb1-f80a-4b35-8d35-631c096e5f2b · outbound

This paper cites Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Reference 9

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This paper cites GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow , March 2021.

StaICC: Standardized Evaluation for Classification Task in In-context Learning GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow , March 2021

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Icl-markup: Structuring in-context learning using soft-token tags

Reference 11

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Observation b6d517bd-c69d-4840-b92a-cf9ce0049ee2 · outbound

This paper cites On the Relation between Sensitivity and Accuracy in In-context Learning.

StaICC: Standardized Evaluation for Classification Task in In-context Learning On the Relation between Sensitivity and Accuracy in In-context Learning

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This paper cites Token-based Decision Criteria Are Suboptimal in In-context Learning.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Token-based Decision Criteria Are Suboptimal in In-context Learning

Reference 13

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Observation b295643e-9549-43e8-ba15-78b8a3383071 · outbound

This paper cites Revisiting In-context Learning Inference Circuit in Large Language Models.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Revisiting In-context Learning Inference Circuit in Large Language Models

Reference 14

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This paper cites In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness.

StaICC: Standardized Evaluation for Classification Task in In-context Learning In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness

Reference 15

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StaICC: Standardized Evaluation for Classification Task in In-context Learning The pascal recognising textual entailment challenge

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This paper cites Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers

Reference 17

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This paper cites Hate Speech Dataset from a White Supremacy Forum.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Hate Speech Dataset from a White Supremacy Forum

Reference 18

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This paper cites The commitmentbank: Investigating projection in naturally occurring discourse.

StaICC: Standardized Evaluation for Classification Task in In-context Learning The commitmentbank: Investigating projection in naturally occurring discourse

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This paper cites Automatically constructing a corpus of sentential paraphrases.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Automatically constructing a corpus of sentential paraphrases

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Observation 5e8f4222-34b7-4bd6-abb3-b009023d2e35 · outbound

This paper cites A Survey on In-context Learning.

StaICC: Standardized Evaluation for Classification Task in In-context Learning A Survey on In-context Learning

Reference 21

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This paper cites Mitigating Label Biases for In-context Learning.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Mitigating Label Biases for In-context Learning

Reference 22

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StaICC: Standardized Evaluation for Classification Task in In-context Learning The third pascal recognizing textual entailment challenge

Reference 23

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Observation 48e7faa4-e8ab-46f8-84b7-c60bc95449bf · outbound

This paper cites Demystifying Prompts in Language Models via Perplexity Estimation.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Demystifying Prompts in Language Models via Perplexity Estimation

Reference 24

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StaICC: Standardized Evaluation for Classification Task in In-context Learning The Llama 3 Herd of Models

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This paper cites Pre-Training to Learn in Context.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Pre-Training to Learn in Context

Reference 26

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StaICC: Standardized Evaluation for Classification Task in In-context Learning On Calibration of Modern Neural Networks

Reference 27

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This paper cites The second pascal recognising textual entailment challenge.

StaICC: Standardized Evaluation for Classification Task in In-context Learning The second pascal recognising textual entailment challenge

Reference 28

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This paper cites Understanding In-Context Learning via Supportive Pretraining Data.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Understanding In-Context Learning via Supportive Pretraining Data

Reference 29

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This paper cites Prototypical Calibration for Few-shot Learning of Language Models.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Prototypical Calibration for Few-shot Learning of Language Models

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This paper cites Structured Prompting: Scaling In-Context Learning to 1,000 Examples.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 31

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Toward semantics-based answer pinpointing

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StaICC: Standardized Evaluation for Classification Task in In-context Learning In-Context Convergence of Transformers

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StaICC: Standardized Evaluation for Classification Task in In-context Learning OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

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StaICC: Standardized Evaluation for Classification Task in In-context Learning An Information-Theoretic Analysis of In-Context Learning

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Generative calibration for in-context learning

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Scaling Laws for Neural Language Models

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StaICC: Standardized Evaluation for Classification Task in In-context Learning In-Context Learning Learns Label Relationships but Is Not Conventional Learning

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StaICC: Standardized Evaluation for Classification Task in In-context Learning The winograd schema challenge

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This paper cites What Do Language Models Learn in Context? The Structured Task Hypothesis.

StaICC: Standardized Evaluation for Classification Task in In-context Learning What Do Language Models Learn in Context? The Structured Task Hypothesis

Reference 40

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Finding Support Examples for In-Context Learning

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Unified Demonstration Retriever for In-Context Learning

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Learning question classifiers

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Awq: Activation-aware weight quantization for on-device llm compression and acceleration

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Unresolved cited work

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Noisy Channel Language Model Prompting for Few-Shot Text Classification

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Metaicl: Learning to learn in context

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Unresolved cited work

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This paper cites S em E val-2018 task 1: Affect in tweets.

StaICC: Standardized Evaluation for Classification Task in In-context Learning S em E val-2018 task 1: Affect in tweets

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Obtaining well calibrated probabilities using bayesian binning

Reference 54

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StaICC: Standardized Evaluation for Classification Task in In-context Learning In-context Learning and Induction Heads

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StaICC: Standardized Evaluation for Classification Task in In-context Learning What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Mauve: Measuring the gap between neural text and human text using divergence frontiers

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StaICC: Standardized Evaluation for Classification Task in In-context Learning In-Context Learning with Iterative Demonstration Selection

Reference 59

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Language models are unsupervised multitask learners

Reference 60

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This paper cites Are Emergent Abilities of Large Language Models a Mirage?.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Are Emergent Abilities of Large Language Models a Mirage?

Reference 61

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Smith, Luke Zettlemoyer, Wen tau Yih, and Mike Lewis

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:06:16.034971Z

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This paper cites Why Larger Language Models Do In-context Learning Differently?.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Why Larger Language Models Do In-context Learning Differently?

Reference 63

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This paper cites Manning, Andrew Ng, and Christopher Potts.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Manning, Andrew Ng, and Christopher Potts

Reference 64

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 65

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This paper cites Smith, and Tao Yu.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Smith, and Tao Yu

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:06:16.008410Z

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Observation 6f12650d-6bb5-41b9-b0a4-f2d72c38eb7e · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 67

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Taguchi methods: orthogonal arrays and linear graphs; tools for quality engineering

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:06:15.994134Z

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Observation b0d69a35-2af2-41a5-8e03-2e5e4345d41f · outbound

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 69

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StaICC: Standardized Evaluation for Classification Task in In-context Learning In-Context Learning Demonstration Selection via Influence Analysis

Reference 70

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements

Reference 71

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Glue: A multi-task benchmark and analysis platform for natural language understanding

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:06:15.975535Z

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This paper cites Gpt-j-6b: A 6 billion parameter autoregressive language model, 2021.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Gpt-j-6b: A 6 billion parameter autoregressive language model, 2021

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:06:15.956798Z

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This paper cites Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 74

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Unresolved cited work

Reference 75

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Dai, and Quoc V Le

Reference 76

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Symbol tuning improves in-context learning in language models

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-10T14:06:14.511941Z

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This paper cites Larger language models do in-context learning differently.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Larger language models do in-context learning differently

Reference 78

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Observation b42a72c8-e9d6-44a9-9ca2-6cff612889cf · outbound

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StaICC: Standardized Evaluation for Classification Task in In-context Learning The Learnability of In-Context Learning

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-10T14:06:14.522157Z

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-10T14:06:14.526159Z

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This paper cites \ k\ NN prompting: Beyond-context learning with calibration-free nearest neighbor inference.

StaICC: Standardized Evaluation for Classification Task in In-context Learning \ k\ NN prompting: Beyond-context learning with calibration-free nearest neighbor inference

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-10T14:06:14.533084Z

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This paper cites Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations

Reference 82

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StaICC: Standardized Evaluation for Classification Task in In-context Learning OPT: Open Pre-trained Transformer Language Models

Reference 83

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Character-level convolutional networks for text classification

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:06:15.906159Z

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This paper cites NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning.

StaICC: Standardized Evaluation for Classification Task in In-context Learning NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning

Reference 85

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Observation 22e0aee5-c82d-4e50-a060-0a527e33de59 · outbound

This paper cites Calibrate Before Use: Improving Few-Shot Performance of Language Models.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-10T14:06:14.562327Z

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This paper cites Batch calibration: Rethinking calibration for in-context learning and prompt engineering.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Batch calibration: Rethinking calibration for in-context learning and prompt engineering

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:06:15.884959Z

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Observation 3276ce66-2b36-4a79-9fba-5d4f6f8c4256 · outbound

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StaICC: Standardized Evaluation for Classification Task in In-context Learning write newline

Reference 88

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Observation cfb25996-c285-4423-8431-c9a6ed5b0656 · outbound

This paper cites @esa (Ref.

StaICC: Standardized Evaluation for Classification Task in In-context Learning @esa (Ref

Reference 89

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StaICC: Standardized Evaluation for Classification Task in In-context Learning Unresolved cited work

Reference 90

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StaICC: Standardized Evaluation for Classification Task in In-context Learning , " * write output.state after.block = add.period write newline

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-10T14:06:14.591107Z

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