Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning | Paper Citation Record

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Unresolved cited work

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This paper cites PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts.

Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Unresolved cited work

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This paper cites Bigham, Chandrika Jayant, Hanjie Ji, Greg Little, Andrew Miller, Robert C.

Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Bigham, Chandrika Jayant, Hanjie Ji, Greg Little, Andrew Miller, Robert C

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Unresolved cited work

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Unresolved cited work

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Unresolved cited work

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Bernstein

Reference 9

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Becker, and Brent N

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Exploring Prompt Engineering Practices in the Enterprise

Reference 11

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This paper cites Cooper, Paul F.

Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Cooper, Paul F

Reference 12

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Unresolved cited work

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Myers, and Aniket Kittur

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This paper cites FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models.

Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning van Lamsweerde

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Lasecki, Jason Wiese, Robert Xiao, Jeffrey P

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning What It Wants Me To Say

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Building Your Own Product Copilot: Challenges, Opportunities, and Needs

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Fiannaca, Vivian Tsai, Michael Terry, and Carrie J

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Observation c0aac328-c457-43a3-a2aa-e6b8ea05d135 · outbound

This paper cites The Evolution of LLM Adoption in Industry Data Curation Practices.

Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning The Evolution of LLM Adoption in Industry Data Curation Practices

Reference 65

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Schmidt, Jesse Spencer-Smith, Quchen Fu, and Jules White

Reference 66

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Russell, Laura Koesten, Aniket Kittur, Nitesh Goyal, and Michael Xieyang Liu

Reference 67

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Unresolved cited work

Reference 68

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Observation ebd848b7-9872-4d31-b530-e2e021826303 · outbound

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Reference 69

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Bernheim Brush, John Krumm, Brian Meyers, Michael Hazas, Stephen Hodges, and Nicolas Villar

Reference 70

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines

Reference 71

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Observation 0b28b855-c464-4957-aa07-91972e903499 · outbound

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Reference 72

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Observation 69f9b544-f121-4dce-bdf3-cf3d84f46415 · outbound

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Reference 73

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Song, Stephan J

Reference 74

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Observation 85adbd40-54cc-4b7b-83eb-2df942d441a7 · outbound

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Unresolved cited work

Reference 75

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Semantic programming by example with pre-trained models

Reference 76

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Observation 7193e052-483d-441d-a849-2835d992ce60 · outbound

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Unresolved cited work

Reference 77

Resolution: verified exact; doi, observed 2026-08-10T14:03:07.384208Z

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Observation 27b1a4b0-edcc-4a1c-a7a2-9a842d730474 · outbound

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Zamfirescu-Pereira, Heather Wei, Amy Xiao, Kitty Gu, Grace Jung, Matthew G Lee, Bjoern Hartmann, and Qian Yang

Reference 78

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Unavailable: canonical work link unavailable.

Observation 0c6a1995-0651-4833-861f-f691e4c2136a · outbound

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Unresolved cited work

Reference 79

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Observation 01a65a86-929d-474d-9a3d-c96f83c2c6e8 · outbound

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Unresolved cited work

Reference 80

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Unavailable: canonical work link unavailable.

Observation a6a192a7-26cd-42da-b778-f32f64e7ae6c · outbound

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Instruction-Following Evaluation for Large Language Models

Reference 81

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Unavailable: canonical work link unavailable.

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This paper cites Zamfirescu-Pereira, Richmond Y.

Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Zamfirescu-Pereira, Richmond Y

Reference 82

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Observation 3bddde32-9e06-4430-a394-774c7c3b8502 · outbound

This paper cites Glassman.

Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Glassman

Reference 84

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Observation 63b0a0f2-bb37-4ae8-aa34-a7a23ac5d983 · outbound

This paper cites In Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology (UIST ’20).

Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning In Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology (UIST ’20)

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T14:03:07.321760Z

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Unavailable: canonical work link unavailable.

Observation 261dd6ca-ee25-4e24-8f36-b4eff87453f7 · outbound

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Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23)

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T14:03:07.312664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f7f2f6e-2788-458b-aca9-266eb9a78e10 · outbound

This paper cites doi:10.1145/3613904.3642233 arXiv:2402.15108 [cs].

Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning doi:10.1145/3613904.3642233 arXiv:2402.15108 [cs]

Reference 2024

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Outbound references

Pith citing papers