The Case for Model Science: Verify, Explore, Steer, Refine | Paper Citation Record

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This paper cites Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES) , pages =.

The Case for Model Science: Verify, Explore, Steer, Refine Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES) , pages =

Reference 1

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This paper cites and Applebaum, Andy and Miller, Doug P.

The Case for Model Science: Verify, Explore, Steer, Refine and Applebaum, Andy and Miller, Doug P

Reference 2

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This paper cites Information Fusion , volume =.

The Case for Model Science: Verify, Explore, Steer, Refine Information Fusion , volume =

Reference 3

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The Case for Model Science: Verify, Explore, Steer, Refine Unresolved cited work

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This paper cites Ecosystem Graphs: The Social Footprint of Foundation Models.

The Case for Model Science: Verify, Explore, Steer, Refine Ecosystem Graphs: The Social Footprint of Foundation Models

Reference 5

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This paper cites Nature , volume =.

The Case for Model Science: Verify, Explore, Steer, Refine Nature , volume =

Reference 6

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This paper cites Ullman and Fernando Martinez-Plumed and Joshua B.

The Case for Model Science: Verify, Explore, Steer, Refine Ullman and Fernando Martinez-Plumed and Joshua B

Reference 7

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This paper cites Beyond the Leaderboard: A Survey of the Science of Evaluation, Benchmarking, and Methodologies for Large Language Models , rights=.

The Case for Model Science: Verify, Explore, Steer, Refine Beyond the Leaderboard: A Survey of the Science of Evaluation, Benchmarking, and Methodologies for Large Language Models , rights=

Reference 8

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The Case for Model Science: Verify, Explore, Steer, Refine and Hanna, Alex and Paullada, Amandalynne , booktitle =

Reference 9

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The Case for Model Science: Verify, Explore, Steer, Refine 2017 , institution =

Reference 10

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The Case for Model Science: Verify, Explore, Steer, Refine , title =

Reference 11

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This paper cites Gradient-Based Learning Applied to Document Recognition , journal =.

The Case for Model Science: Verify, Explore, Steer, Refine Gradient-Based Learning Applied to Document Recognition , journal =

Reference 12

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This paper cites and Santorini, Beatrice and Marcinkiewicz, Mary Ann , title =.

The Case for Model Science: Verify, Explore, Steer, Refine and Santorini, Beatrice and Marcinkiewicz, Mary Ann , title =

Reference 13

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This paper cites Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages =.

The Case for Model Science: Verify, Explore, Steer, Refine Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages =

Reference 14

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The Case for Model Science: Verify, Explore, Steer, Refine , title =

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The Case for Model Science: Verify, Explore, Steer, Refine , title =

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This paper cites and Harman, Donna K.

The Case for Model Science: Verify, Explore, Steer, Refine and Harman, Donna K

Reference 17

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This paper cites Proceedings of KDD Cup and Workshop , year =.

The Case for Model Science: Verify, Explore, Steer, Refine Proceedings of KDD Cup and Workshop , year =

Reference 18

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This paper cites IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages =.

The Case for Model Science: Verify, Explore, Steer, Refine IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages =

Reference 19

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The Case for Model Science: Verify, Explore, Steer, Refine and Fei-Fei, Li , title =

Reference 20

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The Case for Model Science: Verify, Explore, Steer, Refine , title =

Reference 21

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This paper cites Big Data & Society , volume =.

The Case for Model Science: Verify, Explore, Steer, Refine Big Data & Society , volume =

Reference 22

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This paper cites What Will it Take to Fix Benchmarking in Natural Language Understanding?.

The Case for Model Science: Verify, Explore, Steer, Refine What Will it Take to Fix Benchmarking in Natural Language Understanding?

Reference 23

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This paper cites NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark.

The Case for Model Science: Verify, Explore, Steer, Refine NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark

Reference 24

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Observation b06a92bc-2d33-4911-9812-351266cb2d35 · outbound

This paper cites 2021 , note =.

The Case for Model Science: Verify, Explore, Steer, Refine 2021 , note =

Reference 25

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This paper cites Shortcut Learning in Deep Neural Networks , booktitle =.

The Case for Model Science: Verify, Explore, Steer, Refine Shortcut Learning in Deep Neural Networks , booktitle =

Reference 26

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The Case for Model Science: Verify, Explore, Steer, Refine and others , title =

Reference 27

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The Case for Model Science: Verify, Explore, Steer, Refine , title =

Reference 28

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The Case for Model Science: Verify, Explore, Steer, Refine , title =

Reference 29

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The Case for Model Science: Verify, Explore, Steer, Refine 2025 , note =

Reference 30

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This paper cites On the Opportunities and Risks of Foundation Models.

The Case for Model Science: Verify, Explore, Steer, Refine On the Opportunities and Risks of Foundation Models

Reference 31

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The Case for Model Science: Verify, Explore, Steer, Refine 2026 , url =

Reference 32

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The Case for Model Science: Verify, Explore, Steer, Refine Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =

Reference 33

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The Case for Model Science: Verify, Explore, Steer, Refine Li and Ann-Kathrin Dombrowski and Shashwat Goel and Long Phan and Gabriel Mukobi and Nathan Helm-Burger and Rassin Lababidi and Lennart Justen and Andrew B

Reference 34

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The Case for Model Science: Verify, Explore, Steer, Refine (Mis)Fitting: A Survey of Scaling Laws

Reference 35

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The Case for Model Science: Verify, Explore, Steer, Refine Scaling Laws for Neural Language Models

Reference 36

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The Case for Model Science: Verify, Explore, Steer, Refine Bo and Tianyu Xu and Ishan Chatterjee and Katrina Passarella-Ward and Achin Kulshrestha and D Shin , journal =

Reference 37

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The Case for Model Science: Verify, Explore, Steer, Refine Unresolved cited work

Reference 38

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The Case for Model Science: Verify, Explore, Steer, Refine Emergent Misalignment: Narrow finetuning can produce broadly misaligned

Reference 39

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The Case for Model Science: Verify, Explore, Steer, Refine Training language models to follow instructions with human feedback , volume =

Reference 40

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The Case for Model Science: Verify, Explore, Steer, Refine International Conference on Machine Learning , pages =

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The Case for Model Science: Verify, Explore, Steer, Refine Advances in Neural Information Processing Systems , volume =

Reference 42

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The Case for Model Science: Verify, Explore, Steer, Refine Will We Run Out of Data? Limits of

Reference 43

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The Case for Model Science: Verify, Explore, Steer, Refine Nature , year =

Reference 44

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The Case for Model Science: Verify, Explore, Steer, Refine Textbooks Are All You Need

Reference 45

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The Case for Model Science: Verify, Explore, Steer, Refine arXiv preprint , year =

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The Case for Model Science: Verify, Explore, Steer, Refine Proceedings of the National Academy of Sciences , volume =

Reference 47

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The Case for Model Science: Verify, Explore, Steer, Refine Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency , pages =

Reference 48

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The Case for Model Science: Verify, Explore, Steer, Refine Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 49

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Observation 3012f229-1ac6-4ec4-89b1-b6c7b37d2712 · outbound

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The Case for Model Science: Verify, Explore, Steer, Refine Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions

Reference 50

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The Case for Model Science: Verify, Explore, Steer, Refine 2024 , booktitle =

Reference 51

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The Case for Model Science: Verify, Explore, Steer, Refine Unresolved cited work

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The Case for Model Science: Verify, Explore, Steer, Refine doi: 10.1145/3630106.3658958

Reference 53

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Observation 8cf07bd3-2e37-4de6-b177-d852c20e4a1c · outbound

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The Case for Model Science: Verify, Explore, Steer, Refine Unresolved cited work

Reference 54

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This paper cites Proceedings of the 41st International Conference on Machine Learning , pages =.

The Case for Model Science: Verify, Explore, Steer, Refine Proceedings of the 41st International Conference on Machine Learning , pages =

Reference 55

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This paper cites Model Science: Getting Serious About Verification, Explanation and Control of AI Systems , ISBN=.

The Case for Model Science: Verify, Explore, Steer, Refine Model Science: Getting Serious About Verification, Explanation and Control of AI Systems , ISBN=

Reference 56

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Observation 81867d5b-efe2-47a2-9932-193e9ed09adc · outbound

This paper cites Explainable.

The Case for Model Science: Verify, Explore, Steer, Refine Explainable

Reference 57

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The Case for Model Science: Verify, Explore, Steer, Refine ACM Computing Surveys , volume =

Reference 58

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The Case for Model Science: Verify, Explore, Steer, Refine Proceedings of the 34th International Conference on Machine Learning , pages =

Reference 59

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The Case for Model Science: Verify, Explore, Steer, Refine Unmasking

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Reference 71

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Reference 73

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Reference 74

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Reference 75

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Reference 76

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The Case for Model Science: Verify, Explore, Steer, Refine Advances in Neural Information Processing Systems , volume =

Reference 77

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Reference 78

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The Case for Model Science: Verify, Explore, Steer, Refine Communications of the ACM , volume =

Reference 79

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Reference 80

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The Case for Model Science: Verify, Explore, Steer, Refine Annals of the New York Academy of Sciences , volume =

Reference 81

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The Case for Model Science: Verify, Explore, Steer, Refine Advances in Neural Information Processing Systems , volume =

Reference 82

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Reference 83

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The Case for Model Science: Verify, Explore, Steer, Refine Proceedings of the Conference on Fairness, Accountability, and Transparency , pages =

Reference 84

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Reference 85

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Reference 86

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The Case for Model Science: Verify, Explore, Steer, Refine Explainable artificial intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

Reference 87

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Observation 3c474aaf-e0b0-40b7-9627-5f99f6b51860 · outbound

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The Case for Model Science: Verify, Explore, Steer, Refine Advances in Neural Information Processing Systems (NeurIPS) , volume =

Reference 88

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The Case for Model Science: Verify, Explore, Steer, Refine 2023 , howpublished =

Reference 89

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Reference 90

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The Case for Model Science: Verify, Explore, Steer, Refine and Liles, W

Reference 91

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The Case for Model Science: Verify, Explore, Steer, Refine and Rasheed, Shirin and Moradidakhel, Arghavan and Tahir, Amjed and Khomh, Foutse , booktitle =

Reference 92

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The Case for Model Science: Verify, Explore, Steer, Refine Do Users Write More Insecure Code with

Reference 93

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The Case for Model Science: Verify, Explore, Steer, Refine Overview of

Reference 94

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The Case for Model Science: Verify, Explore, Steer, Refine Assessing the Security of

Reference 97

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Pith citing papers