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SIFT-HF Scale-Invariant Feature-based similarity Threshold from Human Feedback
23/23 checkable references clean · checked 2026-09-04
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 23 checked references that resolve
resolves10.1177/1948550619875149
An MTurk Crisis? Shifts in Data Quality and the Impact on Study Results
resolves10.1038/s42256-023-00626-4
Parameter-efficient fine-tuning of large-scale pre-trained language models
resolves10.1080/03585522.2021.1984299
Narrative and computational text analysis in business and economic history
resolves10.1145/3593013.3594036
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making
resolves10.18653/v1/2023.acl-long.806
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
resolves10.3233/SW-140134
DBpedia – A large-scale, multilingual knowledge base extracted from Wikipedia
resolves10.18653/v1/2020.emnlp-main.724
Text Classification Using Label Names Only: A Language Model Self-Training Approach
resolves10.1007/978-3-031-35583-7_118
Digital Methods in Economic History: The Case of Computational Text Analysis
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no DOI — not checkedLatent dirichlet allocation
no DOI — not checkedAlec Radford, Ilya Sutskever, and Dario Amodei
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no DOI — not checkedAssessing news contagion in finance
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no DOI — not checkedBeyond prompting: Making pre-trained language models better zero-shot learners by clustering representations
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no DOI — not checkedTextbooks are all you need. Hochreiter, Sepp and J�rgen Schmidhuber. 1997. Long short-term memory
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no DOI — not checkedKnowledgeable prompt-tuning: Incorporating knowledge into prompt verbalizer for text classification
no DOI — not checkedlow-resource" text classification: A parameter-free classification method with compressors
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no DOI — not checkedA few more examples may be worth billions of parameters
no DOI — not checkedGeographical evaluation of word embeddings
no DOI — not checkedRecurrent convolutional neural networks for text classification
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no DOI — not checkedLearning question classifiers
no DOI — not checkedReconstructing capsule networks for zero-shot intent classification
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no DOI — not checkedCutting down on prompts and parameters: Simple few-shot learning with language models
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no DOI — not checkedDistributed representations of words and phrases and their compositionality
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no DOI — not checkedModeling and mitigating human annotation errors to design efficient stream processing systems with human-in-the-loop machine learning
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no DOI — not checkedLanguage models are unsupervised multitask learners
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no DOI — not checkedAutomatically identifying words that can serve as labels for few-shot text classification
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no DOI — not checkedExploiting cloze-questions for few-shot text classification and natural language inference
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no DOI — not checkedGeorge van den Driessche, Thore Graepel, and Demis Hassabis
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no DOI — not checkedNSP-BERT: A prompt-based few-shot learner through an original pre-training task --next sentence prediction
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no DOI — not checkedAttention is all you need
no DOI — not checkedUsing semantic similarity for multi-label zero-shot classification of text documents
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no DOI — not checkedTransformers: State-of-the-art natural language processing
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no DOI — not checkedUnsupervised data augmentation for consistency training
no DOI — not checkedHierarchical attention networks for document classification
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no DOI — not checkedBig bird: Transformers for longer sequences
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