DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users | Paper Citation Record

Observation d3f0511c-bca8-428d-a64f-51629b5849d4 · outbound

This paper cites Hearst, Susan T Dumais, Edgar Osuna, John Platt, and Bernhard Scholkopf.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Hearst, Susan T Dumais, Edgar Osuna, John Platt, and Bernhard Scholkopf

Reference 1

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Observation aa9cce79-1cd9-49d7-a2c1-e2a32331b983 · outbound

This paper cites Recent advances in convolutional neural networks.Pattern recognition, 77:354–377, 2018.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Recent advances in convolutional neural networks.Pattern recognition, 77:354–377, 2018

Reference 2

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Observation 31036efc-d7fc-49f7-89e1-2b182e1a8f6c · outbound

This paper cites Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data

Reference 3

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Observation eafa2640-0500-469a-9c8d-5b60b542520c · outbound

This paper cites Why are Visually-Grounded Language Models Bad at Image Classification?.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Why are Visually-Grounded Language Models Bad at Image Classification?

Reference 4

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Observation c0d226f5-9101-453d-8482-2fb9d87b2857 · outbound

This paper cites Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing

Reference 5

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Observation 9d796577-ed53-4cc4-9a55-2296aaae3a5d · outbound

This paper cites Evallm: Interactive evaluation of large language model prompts on user-defined criteria.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Evallm: Interactive evaluation of large language model prompts on user-defined criteria

Reference 6

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Observation 6b146f68-e933-4065-9a0d-1b627021ad88 · outbound

This paper cites A review of user interface design for interactive machine learning.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users A review of user interface design for interactive machine learning

Reference 7

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Observation 0b6bfc71-427c-4316-9efa-b5735780308a · outbound

This paper cites Power to the people: The role of humans in interactive machine learning.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Power to the people: The role of humans in interactive machine learning

Reference 8

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Observation 1dc1faa4-d192-4269-93d3-60b5ee88e282 · outbound

This paper cites Image-to-text translation for interactive image recognition: A comparative user study with non-expert users.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Image-to-text translation for interactive image recognition: A comparative user study with non-expert users

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:52.430020Z

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Observation bc82f7a2-e4dd-4c1c-8837-09769211c8e6 · outbound

This paper cites Use of machine learning by non-expert dhh people: Technological understanding and sound perception.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Use of machine learning by non-expert dhh people: Technological understanding and sound perception

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:52.419871Z

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Observation 4c1d45ef-c0bb-44a6-80d5-7770cb9252f0 · outbound

This paper cites Interactive machine learning.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Interactive machine learning

Reference 11

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Observation fc4eba7c-3821-4efe-94d5-a8400008a615 · outbound

This paper cites Grounding interactive machine learning tool design in how non-experts actually build models.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Grounding interactive machine learning tool design in how non-experts actually build models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:52.397325Z

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Observation efb5d8a4-98f4-466f-8847-88abf5d81e58 · outbound

This paper cites Designing interactive transfer learning tools for ml non-experts.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Designing interactive transfer learning tools for ml non-experts

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:52.385243Z

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Observation 0a651452-0b5c-49de-9364-50a921f1c7b6 · outbound

This paper cites Investigating audio data visualization for interactive sound recognition.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Investigating audio data visualization for interactive sound recognition

Reference 14

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Observation ac0a2cf9-56db-49f1-a9e2-ebc4b3c01fdb · outbound

This paper cites Spatial labeling: leveraging spatial layout for improving label quality in non-expert image annotation.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Spatial labeling: leveraging spatial layout for improving label quality in non-expert image annotation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:52.363041Z

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Observation 6ea40953-f2eb-43cc-b3d7-2938c492f84f · outbound

This paper cites Technical understanding from interactive machine learning experience: a study through a public event for science museum visitors.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Technical understanding from interactive machine learning experience: a study through a public event for science museum visitors

Reference 16

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Observation a9097057-fedb-4e68-80df-1f2689427bde · outbound

This paper cites Ensemblematrix: interactive visualization to support machine learning with multiple classifiers.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Ensemblematrix: interactive visualization to support machine learning with multiple classifiers

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:52.338826Z

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Observation 23b03865-1f43-4d0a-bc98-9ec4d738e166 · outbound

This paper cites Squares: Supporting interactive performance analysis for multiclass classifiers.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Squares: Supporting interactive performance analysis for multiclass classifiers

Reference 18

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Observation 505bf127-e2ea-40f6-9210-7b30e30ffe0c · outbound

This paper cites Manifold: A model-agnostic framework for interpretation and diagnosis of machine learning models.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Manifold: A model-agnostic framework for interpretation and diagnosis of machine learning models

Reference 19

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Observation a4e5ff21-eace-427b-a40f-1e513dff4378 · outbound

This paper cites Principles of mixed-initiative user interfaces.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Principles of mixed-initiative user interfaces

Reference 20

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Observation 0b76b541-ab39-430f-8309-b5b2403789cc · outbound

This paper cites The human side of human-chatbot interaction: A systematic literature review of ten years of research on text-based chatbots.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users The human side of human-chatbot interaction: A systematic literature review of ten years of research on text-based chatbots

Reference 21

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Observation 438aff57-72c6-448c-bca3-d2a56837dc53 · outbound

This paper cites Artificial intelligence assisted improved human-computer interactions for computer systems.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Artificial intelligence assisted improved human-computer interactions for computer systems

Reference 22

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Observation 8f4844e9-8160-47fd-992a-25d818d3a046 · outbound

This paper cites The programmer’s assistant: Conversational interaction with a large language model for software development.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users The programmer’s assistant: Conversational interaction with a large language model for software development

Reference 23

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Observation 126c89e0-a7b7-4ff3-a29b-035b1a5ebb5f · outbound

This paper cites Lessons from building stackspot ai: A contextualized ai coding assistant.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Lessons from building stackspot ai: A contextualized ai coding assistant

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:52.263325Z

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Observation 1b33b7fe-a461-43cf-9097-bb55c4f9142f · outbound

This paper cites Codeaid: Evaluating a classroom deployment of an llm-based programming assistant that balances student and educator needs.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Codeaid: Evaluating a classroom deployment of an llm-based programming assistant that balances student and educator needs

Reference 25

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Observation a8a422aa-befc-4ff3-9378-6a49ab617345 · outbound

This paper cites How do students use chatgpt as a writing support? Journal of Adolescent & Adult Literacy, 2024.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users How do students use chatgpt as a writing support? Journal of Adolescent & Adult Literacy, 2024

Reference 26

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Observation 7e106a0b-d7b0-46f8-95b0-ac2ae1cccb27 · outbound

This paper cites Can artificial intelligence help for scientific writing? Critical care, 27(1):75, 2023.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Can artificial intelligence help for scientific writing? Critical care, 27(1):75, 2023

Reference 27

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Observation 647612a5-e104-46e7-b231-503e9c3a4c82 · outbound

This paper cites Ai assisted fashion design: A review.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Ai assisted fashion design: A review

Reference 28

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Observation ad466d02-1efe-4bd9-8ffa-de54791b05d2 · outbound

This paper cites Ai-assisted design concept exploration through character space construction.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Ai-assisted design concept exploration through character space construction

Reference 29

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Observation 1d393558-c1f5-4b27-ae17-386c658ee4c0 · outbound

This paper cites Sigma: An open-source interactive system for mixed-reality task assistance research–extended abstract.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Sigma: An open-source interactive system for mixed-reality task assistance research–extended abstract

Reference 30

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Observation 44da61f0-04ad-4242-bdba-2507590812ca · outbound

This paper cites Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality

Reference 31

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Observation 9aca8e1f-a0e0-4e6c-9da6-cbc3559e606e · outbound

This paper cites Artificial intelligence in education: A review.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Artificial intelligence in education: A review

Reference 32

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Observation 6a4a6ad0-a062-414b-833e-1cab0b28986c · outbound

This paper cites AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs

Reference 33

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Observation ee6649b7-2489-451e-a3b5-a7d49e839f36 · outbound

This paper cites Application of artificial intelligence in wearable devices: Opportunities and challenges.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Application of artificial intelligence in wearable devices: Opportunities and challenges

Reference 34

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Observation b094fa6a-1a57-4d1c-9f51-3ae90cb73865 · outbound

This paper cites Advancing health coaching: A comparative study of large language model and health coaches.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Advancing health coaching: A comparative study of large language model and health coaches

Reference 35

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Observation 7fd59bbf-c97f-4766-91c6-2fcf6d9c604e · outbound

This paper cites GPTCoach: Towards LLM-Based Physical Activity Coaching.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users GPTCoach: Towards LLM-Based Physical Activity Coaching

Reference 36

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This paper cites Designing a large language model-based coaching intervention for lifestyle behavior change.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Designing a large language model-based coaching intervention for lifestyle behavior change

Reference 37

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Observation b911cdee-9c6e-4315-8381-836d9152cf18 · outbound

This paper cites NExT-GPT: Any-to-Any Multimodal LLM.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users NExT-GPT: Any-to-Any Multimodal LLM

Reference 38

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Observation d54b971a-86f6-447b-9252-ccf5e3cc206f · outbound

This paper cites A Survey of Resource-efficient LLM and Multimodal Foundation Models.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users A Survey of Resource-efficient LLM and Multimodal Foundation Models

Reference 39

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Observation 77dbf145-9040-4293-9d69-3a15a67ea4e6 · outbound

This paper cites Large Multimodal Agents: A Survey.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Large Multimodal Agents: A Survey

Reference 40

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Observation a26308e7-8d31-4da8-92d4-9c193e5d2e40 · outbound

This paper cites GPT-4 Technical Report.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users GPT-4 Technical Report

Reference 41

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Observation fe4077a1-aa2b-4e5d-91de-e5f8442cef47 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 42

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Observation 95994936-3e8f-461b-8b76-3eccfd1c9fa3 · outbound

This paper cites Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis

Reference 43

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Observation acac960f-cfcd-448b-b30d-7345d252ce66 · outbound

This paper cites Multimodal emotion recognition using feature fusion: An llm-based approach.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Multimodal emotion recognition using feature fusion: An llm-based approach

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:52.135579Z

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Observation c3e1c07f-64af-4067-8932-d401a14bc506 · outbound

This paper cites Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning

Reference 45

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Observation d4fa2bb0-8c9f-4d3d-97a4-85a96de8eb14 · outbound

This paper cites Data-efficient fine-tuning for llm-based recommendation.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Data-efficient fine-tuning for llm-based recommendation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:52.121752Z

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Observation a2137e9d-d7d6-4f60-b64c-84e5f9e76951 · outbound

This paper cites Federatedscope-llm: A comprehensive package for fine-tuning large language models in federated learning.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Federatedscope-llm: A comprehensive package for fine-tuning large language models in federated learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:52.109253Z

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Observation 8967724a-c1d3-46e8-8338-533790b6e2dd · outbound

This paper cites Automating the development of task-oriented llm-based chatbots.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Automating the development of task-oriented llm-based chatbots

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:52.095293Z

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Observation 3b03a222-1e46-40dc-a8e5-d924fe93de1f · outbound

This paper cites Evaluating Very Long-Term Conversational Memory of LLM Agents.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Evaluating Very Long-Term Conversational Memory of LLM Agents

Reference 49

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Observation 6c9134f8-6f99-4951-8742-25962a5ecf67 · outbound

This paper cites Knowledge- augmented large language models for personalized contextual query suggestion.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Knowledge- augmented large language models for personalized contextual query suggestion

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:52.081299Z

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Observation 2678b43d-e689-4e39-9924-c94989be0916 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Generative agents: Interactive simulacra of human behavior

Reference 51

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Observation 189ee20b-75e5-491b-b876-3bfe759030b5 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 52

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DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Support-vector networks

Reference 53

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This paper cites Dcnn-based vegetable image classification using transfer learning: A comparative study.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Dcnn-based vegetable image classification using transfer learning: A comparative study

Reference 54

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This paper cites One-shot learning of object categories.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users One-shot learning of object categories

Reference 55

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This paper cites Neural style transfer: A review.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Neural style transfer: A review

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:52.025842Z

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This paper cites A survey on image data augmentation for deep learning.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users A survey on image data augmentation for deep learning

Reference 57

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This paper cites Zero-shot text-to-image generation.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Zero-shot text-to-image generation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:51.993376Z

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This paper cites Image-to-image translation with conditional adversarial networks.

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Image-to-image translation with conditional adversarial networks

Reference 59

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DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users Ask the assistant

Reference 60

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