Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis | Paper Citation Record

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis S., ``Distributional structure'', Word, Vol

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This paper cites R., ``A synopsis of linguistic theory, 1930-1955'', Studies in linguistic analysis, 1957.

Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis R., ``A synopsis of linguistic theory, 1930-1955'', Studies in linguistic analysis, 1957

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis D., Pantel, P., ``From frequency to meaning: Vector space models of semantics'', Journal of artificial intelligence research, Vol

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis 160--167

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Scaling Laws for Neural Language Models

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This paper cites A., Welbl, J., Clark, A., Hennigan, T., Noland, E., Millican, K., van den Driessche, G., Damoc, B., Guy, A., Osindero, S., Simonyan, K., Elsen, E., Vinyals, O., Rae, J.

Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis A., Welbl, J., Clark, A., Hennigan, T., Noland, E., Millican, K., van den Driessche, G., Damoc, B., Guy, A., Osindero, S., Simonyan, K., Elsen, E., Vinyals, O., Rae, J

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis A Survey on Programmatic Weak Supervision

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis A Comprehensive Overview of Large Language Models

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis A., Introduction to formal language theory

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis T., Furnas, G

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis K., Foltz, P

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis S., Dean, J., ``Distributed representations of words and phrases and their compositionality'', in Advances in neural information processing systems, 2013, str

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This paper cites D., `` GloVe : Global vectors for word representation'', in Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), 2014, str.

Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis D., `` GloVe : Global vectors for word representation'', in Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), 2014, str

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This paper cites Efficient Estimation of Word Representations in Vector Space.

Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Efficient Estimation of Word Representations in Vector Space

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis F., Della Pietra, V

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis E., Hinton, G

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis technical report, june 1985-march 1986'', California Univ., San Diego, La Jolla (USA)

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis N., Kaiser, ., Polosukhin, I., ``Attention is all you need'', Advances in neural information processing systems, Vol

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Neural Machine Translation by Jointly Learning to Align and Translate

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis D., ``Effective approaches to attention-based neural machine translation'', in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Adam: A Method for Stochastic Optimization

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis A., ``Don ' t stop pretraining: Adapt language models to domains and tasks'', in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Minneapolis, Minnesota: Association for Computational Linguistics, Jun

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis V., Manning, C

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis J., ``Exploring the limits of transfer learning with a unified text-to-text transformer'', Journal of machine learning research, Vol

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis OPT: Open Pre-trained Transformer Language Models

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis The Llama 3 Herd of Models

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Florence, Italy: Association for Computational Linguistics, Jul

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Singapore: Association for Computational Linguistics, Dec

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Online: Association for Computational Linguistics, Jun

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Dublin, Ireland: Association for Computational Linguistics, May 2022, str

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Robust Learning with Jacobian Regularization

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Input Hessian Regularization of Neural Networks

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis M., Osindero, S., Jaderberg, M., Swirszcz, G., Pascanu, R., ``Sobolev training for neural networks'', Advances in neural information processing systems, Vol

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Unresolved cited work

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis L., Foster, D

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Q., ``On calibration of modern neural networks'', in International conference on machine learning

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis W., ``Verification of forecasts expressed in terms of probability'', Monthly weather review, Vol

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis H., Fienberg, S

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis P., Cooper, G., Hauskrecht, M., ``Obtaining well calibrated probabilities using bayesian binning'', in Proceedings of the AAAI conference on artificial intelligence, Vol

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis et al., Principles of mathematical analysis

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Springer Publishing Company, Incorporated, 2014

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis 35, 2022, str

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Reference 63

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis F., ``A stochastic estimator of the trace of the influence matrix for L aplacian smoothing splines'', Communications in Statistics-Simulation and Computation, Vol

Reference 64

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis 27, 2018, str

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Monographs in Mathematics

Reference 66

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Reference 67

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis W., (ur.), Vol

Reference 68

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Function space analysis of deep learning representation layers

Reference 69

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Reference 70

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis W., (ur.), Vol

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis 13, 2025, str

Reference 72

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis et al., ``Pytorch: An imperative style, high-performance deep learning library'', Advances in neural information processing systems, Vol

Reference 73

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Online: Association for Computational Linguistics, Oct

Reference 74

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Reference 75

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Brussels, Belgium: Association for Computational Linguistics, Nov

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T17:03:39.844736Z

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis PMLR, 2019, str

Reference 77

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis L., Daly, R

Reference 78

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis 30, 2017

Reference 79

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis W., Gal, Y., ``Uncertainty estimation using a single deep deterministic neural network'', in International conference on machine learning

Reference 80

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Unresolved cited work

Reference 81

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis M., ``Generalization as search'', Artificial intelligence, Vol

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis S., Shamir, E., Tishby, N., ``Selective sampling using the query by committee algorithm'', Machine learning, Vol

Reference 83

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis 353--360

Reference 84

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis B., ``Optimal aggregation of classifiers in statistical learning'', The Annals of Statistics, Vol

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Unresolved cited work

Reference 86

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis 147, 2015, str

Reference 87

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Unresolved cited work

Reference 88

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Proceedings of Machine Learning Research, Balcan, M

Reference 89

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Discriminative Active Learning

Reference 90

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Unresolved cited work

Reference 91

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis C., Wallace, B

Reference 92

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Unresolved cited work

Reference 93

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Boulder, Colorado: Association for Computational Linguistics, Jun

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:03:56.012077Z

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:03:55.827623Z

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

Reference 96

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Florence, Italy: Association for Computational Linguistics, Jul

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:03:55.650577Z

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Hong Kong, China: Association for Computational Linguistics, Nov

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:03:55.502870Z

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Online: Association for Computational Linguistics, Nov

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:03:55.342633Z

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Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Dublin, Ireland: Association for Computational Linguistics, May 2022, str

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:03:55.194059Z

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Observation 13581224-2f19-43b6-a322-8117a8f9c2a9 · outbound

This paper cites Online: Association for Computational Linguistics, Nov.

Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Online: Association for Computational Linguistics, Nov

Reference 101

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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