Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models | Paper Citation Record

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This paper cites Token-level Identification of Multiword Expressions using Pre-trained Multilingual Language Models.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Token-level Identification of Multiword Expressions using Pre-trained Multilingual Language Models

Reference 3

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This paper cites Set-Based Prompting: Provably Solving the Language Model Order Dependency Problem.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Set-Based Prompting: Provably Solving the Language Model Order Dependency Problem

Reference 4

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This paper cites Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little

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This paper cites Neural computation , volume=.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Neural computation , volume=

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This paper cites Learning Factored Representations in a Deep Mixture of Experts.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Learning Factored Representations in a Deep Mixture of Experts

Reference 7

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This paper cites Science China technological sciences , volume=.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Science China technological sciences , volume=

Reference 8

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This paper cites Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints

Reference 9

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This paper cites Advances in Neural Information Processing Systems , volume=.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Advances in Neural Information Processing Systems , volume=

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This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 11

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This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 12

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This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models MMBench: Is Your Multi-modal Model an All-around Player?

Reference 13

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This paper cites Advances in neural information processing systems , volume=.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Advances in neural information processing systems , volume=

Reference 14

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This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

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This paper cites Neural computation , volume=.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Neural computation , volume=

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This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 17

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This paper cites International Conference on Machine Learning , pages=.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models International Conference on Machine Learning , pages=

Reference 18

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This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 19

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This paper cites Mixtral of Experts.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Mixtral of Experts

Reference 21

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This paper cites OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 22

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This paper cites MoE-LLaVA: Mixture of Experts for Large Vision-Language Models.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Reference 23

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This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 24

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This paper cites LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 25

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models International Conference on Learning Representations , year=

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Advances in Neural Information Processing Systems , volume=

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This paper cites MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter

Reference 28

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Feature Learning in Infinite-Width Neural Networks

Reference 29

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Training Verifiers to Solve Math Word Problems

Reference 30

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This paper cites Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 33

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 34

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Transactions of the Association for Computational Linguistics , volume=

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models ST-MoE: Designing Stable and Transferable Sparse Expert Models

Reference 36

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Unresolved cited work

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This paper cites A Closer Look into Mixture-of-Experts in Large Language Models.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models A Closer Look into Mixture-of-Experts in Large Language Models

Reference 38

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models

Reference 40

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Fast and robust early-exiting framework for autoregressive language models with synchronized parallel decoding , url =

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models doi:10.18653/v1/2020.findings-emnlp.148 , pages =

Reference 42

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Glass , bibsource =

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Language models can explain neurons in language models , url =

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Towards monosemanticity: Decomposing language models with dictionary learning , url =

Reference 45

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Unresolved cited work

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Discovering latent knowledge in language models without supervision , url =

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021) , doi =

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Red Teaming Deep Neural Networks with Feature Synthesis Tools , url =

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Deep language algorithms predict semantic comprehension from brain activity , url =

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Manco and E

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Universal sentence encoder , url =

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Description Based Text Classification with Reinforcement Learning , url =

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models A survey on evaluation of large language models , url =

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models doi:10.18653/v1/2020.acl-main.194 , pages =

Reference 55

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism , url =

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Very Deep Convolutional Networks for Text Classification , url =

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Supervised Learning of Universal Sentence Representations from Natural Language Inference Data , url =

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models doi: 10.18653/v1/2022.acl-long.581

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Glass , bibsource =

Reference 60

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Discovering Latent Concepts Learned in

Reference 61

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 62

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 64

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , pages=

Reference 66

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Communications of the ACM , volume=

Reference 67

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

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 68

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 69

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models International conference on machine learning , pages=

Reference 70

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models GLU Variants Improve Transformer

Reference 71

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Observation 25fdad09-1c43-422d-9ec3-48f1f25bc5f4 · outbound

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 72

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 73

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Fine-tuning pretrained language models: Weight initializations, data orders, and early stopping , url =

Reference 74

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models 2020 , journal =

Reference 75

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Linguistic correlation analysis: Discovering salient neurons in deepnlp models , url =

Reference 76

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models A mathematical framework for transformer circuits , url =

Reference 77

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Softmax linear units , url =

Reference 78

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity , url =

Reference 79

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Language-agnostic

Reference 80

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Observation 4ea2651c-cd53-4008-9108-5f594a0b4a48 · outbound

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models S im CSE : Simple Contrastive Learning of Sentence Embeddings

Reference 81

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 82

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models

Reference 83

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Transformer Feed-Forward Layers Are Key-Value Memories

Reference 84

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models ChatGPT outperforms crowd workers for text-annotation tasks , url =

Reference 85

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Finding Neurons in a Haystack: Case Studies with Sparse Probing , url =

Reference 86

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Language Models Represent Space and Time , url =

Reference 87

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models An introduction to variable and feature selection , url =

Reference 88

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Dynamic neural networks: A survey , url =

Reference 89

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models The elements of statistical learning: data mining, inference, and prediction , url =

Reference 90

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Deberta: decoding-Enhanced Bert with Disentangled Attention , url =

Reference 91

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Debertav3: Improving deberta using electra-style pre-training with gradient-disentangled embedding sharing , url =

Reference 92

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Towards a Unified View of Parameter-Efficient Transfer Learning , url =

Reference 93

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Decoupled Weight Decay Regularization

Reference 94

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Training compute-optimal large language models , url =

Reference 95

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Parameter-Efficient Transfer Learning for

Reference 96

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models In: Gurevych, I., Miyao, Y

Reference 97

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Observation 920871fb-4ba6-4bd0-8b46-79d26a7f967f · outbound

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Hu and Yelong Shen and Phillip Wallis and Zeyuan Allen

Reference 98

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Deep Recursive Neural Networks for Compositionality in Language , url =

Reference 100

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Understanding Convolutional Neural Networks for Text Classification , url =

Reference 101

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Observation bdbe4d74-909d-4bf8-9e02-4000891fdb35 · outbound

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Bag of Tricks for Efficient Text Classification , url =

Reference 102

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Scaling laws for neural language models , url =

Reference 103

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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Visualizing and understanding recurrent networks , url =

Reference 104

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