Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation | Paper Citation Record

Observation 02f464a2-5669-43b9-80c8-4c1585f08b11 · outbound

This paper cites Flexidit: Your diffusion transformer can easily generate high-quality samples with less compute.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Flexidit: Your diffusion transformer can easily generate high-quality samples with less compute

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.227928Z

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Observation 67d35b6f-6218-448c-9c2a-38b129e29a7d · outbound

This paper cites Continuous, subject-specific attribute control in t2i models by identifying semantic directions.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Continuous, subject-specific attribute control in t2i models by identifying semantic directions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.284553Z

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Observation 5c8b9a8d-a19b-4b7f-a40c-6a096c2c6a71 · outbound

This paper cites Curriculum learning.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Curriculum learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.288005Z

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Observation 71f9b9c3-1a79-4ae5-b934-40de85d80928 · outbound

This paper cites Im- proving image generation with better captions.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Im- proving image generation with better captions

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.158810Z

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Observation ac04bd32-f3ef-46ea-a704-13af85405875 · outbound

This paper cites Make it count: Text-to-image gen- eration with an accurate number of objects.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Make it count: Text-to-image gen- eration with an accurate number of objects

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.233469Z

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Observation 5e70378c-b038-4bf5-8806-62cf1ea6fac7 · outbound

This paper cites Janus- pro: Unified multimodal understanding and generation with data and model scaling.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Janus- pro: Unified multimodal understanding and generation with data and model scaling

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.156575Z

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Observation e517f69e-4e9a-4ab7-982f-b3eb9fe1b438 · outbound

This paper cites Brown, Miljan Martic, Shane Legg, and Dario Amodei.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Brown, Miljan Martic, Shane Legg, and Dario Amodei

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.256673Z

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Observation 7c521c77-bb29-4fc1-b858-49918dc72d44 · outbound

This paper cites Acquire and then adapt: Squeezing out text-to-image model for image restoration.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Acquire and then adapt: Squeezing out text-to-image model for image restoration

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.254449Z

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Observation 5553c5ee-8a22-4d77-9e6b-6c967ef6fe64 · outbound

This paper cites Unic-adapter: Unified image-instruction adapter with multi-modal transformer for image generation.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Unic-adapter: Unified image-instruction adapter with multi-modal transformer for image generation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.275037Z

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Observation a17d12cb-c8c8-4f08-ab72-747c75cd2128 · outbound

This paper cites Scaling rectified flow trans- formers for high-resolution image synthesis.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Scaling rectified flow trans- formers for high-resolution image synthesis

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.311626Z

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Observation 6097cab5-032f-41e1-81e7-1fa6e243f423 · outbound

This paper cites Dpok: Reinforcement learning for fine-tuning text-to-image diffu- sion models.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Dpok: Reinforcement learning for fine-tuning text-to-image diffu- sion models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.241121Z

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Observation fc3e3af6-6b2f-4d72-800d-aece4babf1fa · outbound

This paper cites Curran Associates Inc., Red Hook, NY , USA.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Curran Associates Inc., Red Hook, NY , USA

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.226074Z

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Observation 74477497-2e9f-4993-ab47-9c66b195013c · outbound

This paper cites Towards understanding and quantifying uncertainty for text-to-image generation.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Towards understanding and quantifying uncertainty for text-to-image generation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.146469Z

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Observation aaf7cf88-246c-49e8-a394-5536c29c3ebe · outbound

This paper cites Prompt curriculum learning for efficient llm post-training.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Prompt curriculum learning for efficient llm post-training

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.168249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d2b2266a-d347-446a-8be2-bfb835f6fdca · outbound

This paper cites Geneval: An object-focused framework for evaluating text- to-image alignment.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Geneval: An object-focused framework for evaluating text- to-image alignment

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.267832Z

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Observation 7f031b9f-9e32-40f2-8d2c-5dd554faff48 · outbound

This paper cites Adaptive rejection sampling for gibbs sampling.Journal of the Royal Statistical Society: Series C (Applied Statistics), 41(2):337–348.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Adaptive rejection sampling for gibbs sampling.Journal of the Royal Statistical Society: Series C (Applied Statistics), 41(2):337–348

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.269729Z

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Observation 95be04a9-9a1f-4a86-b91f-df7b54d05d50 · outbound

This paper cites Bellemare, Jacob Menick, Remi Munos, and Koray Kavukcuoglu.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Bellemare, Jacob Menick, Remi Munos, and Koray Kavukcuoglu

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.271427Z

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Observation 69a3955c-f71c-406e-a3fd-3c72460d82f0 · outbound

This paper cites Deep poisson gamma dynamical systems.Advances in Neu- ral Information Processing Systems, 31.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Deep poisson gamma dynamical systems.Advances in Neu- ral Information Processing Systems, 31

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.273267Z

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Observation f35ebb40-fcd0-4bbd-b1e9-3cd39328963a · outbound

This paper cites Ella: Equip diffusion models with llm for en- hanced semantic alignment.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Ella: Equip diffusion models with llm for en- hanced semantic alignment

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.277193Z

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Observation 9ceda1b7-859e-40e3-8e4b-b074394bc23f · outbound

This paper cites Asynchronous curriculum experience re- play: A deep reinforcement learning approach for uav au- tonomous motion control in unknown dynamic environ- ments.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Asynchronous curriculum experience re- play: A deep reinforcement learning approach for uav au- tonomous motion control in unknown dynamic environ- ments

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.281079Z

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Observation f6a3c353-03b7-4912-a9e0-cef52f1ab7f6 · outbound

This paper cites T2i-compbench++: An enhanced and comprehensive benchmark for compositional text-to-image generation.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation T2i-compbench++: An enhanced and comprehensive benchmark for compositional text-to-image generation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.260538Z

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Observation d34811b8-a2cf-44b4-805c-760e76c98cd5 · outbound

This paper cites Silent branding attack: Trigger-free data poisoning attack on text-to-image diffusion models.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Silent branding attack: Trigger-free data poisoning attack on text-to-image diffusion models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.150626Z

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Observation 8465ac12-ad45-46c9-a9f8-417a98ef7c2f · outbound

This paper cites Chatgen: Automatic text- to-image generation from freestyle chatting.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Chatgen: Automatic text- to-image generation from freestyle chatting

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.251203Z

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Observation ed0769c7-1417-4334-87e1-880c7b8772a3 · outbound

This paper cites Hauptmann.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Hauptmann

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.254680Z

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Observation 88fd7ae0-240b-466b-84e1-d3e4babee457 · outbound

This paper cites Charging and rate control for elastic traffic.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Charging and rate control for elastic traffic

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.249404Z

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Observation fb947f78-1387-4561-9f31-fb26c4300fb8 · outbound

This paper cites Rate control for communication networks: shadow prices, proportional fairness and stability.Journal of the Opera- tional Research society, 49(3):237–252.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Rate control for communication networks: shadow prices, proportional fairness and stability.Journal of the Opera- tional Research society, 49(3):237–252

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.207488Z

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Observation 86e34d5a-6d20-4abd-97d5-ee980b4bd87a · outbound

This paper cites Rethinking training for de-biasing text-to- image generation: Unlocking the potential of stable diffu- sion.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Rethinking training for de-biasing text-to- image generation: Unlocking the potential of stable diffu- sion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.165844Z

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Observation 8fed3905-2e11-408d-83ba-4bac7e260f97 · outbound

This paper cites Pick-a-pic: an open dataset of user preferences for text-to-image generation.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Pick-a-pic: an open dataset of user preferences for text-to-image generation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.252536Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 54c78691-23a2-4899-aa76-af2ee105bf19 · outbound

This paper cites A probabilistic interpretation of self-paced learning with applications to re- inforcement learning.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation A probabilistic interpretation of self-paced learning with applications to re- inforcement learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.262364Z

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Observation 1e7fda04-381d-42e8-be08-1d20f7606e77 · outbound

This paper cites Pawan Kumar, Benjamin Packer, and Daphne Koller.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Pawan Kumar, Benjamin Packer, and Daphne Koller

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.174838Z

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Observation 5da024c7-2d38-40e2-9349-1af504b45430 · outbound

This paper cites Flux.1 kontext: Flow matching for in-context image generation and editing in latent space.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Flux.1 kontext: Flow matching for in-context image generation and editing in latent space

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.245346Z

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Observation c35efccd-1d43-4afd-8b3c-80aa72559de1 · outbound

This paper cites 2d-curri-dpo: Two- dimensional curriculum learning for direct preference opti- mization.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation 2d-curri-dpo: Two- dimensional curriculum learning for direct preference opti- mization

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.238865Z

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Observation 409d127d-ebcb-40d8-b270-7376bd5f9e6d · outbound

This paper cites Curriculum-rlaif: Cur- riculum alignment with reinforcement learning from ai feed- back.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Curriculum-rlaif: Cur- riculum alignment with reinforcement learning from ai feed- back

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.243362Z

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Observation 4c27372a-f28b-4161-9789-74cbbe8734b6 · outbound

This paper cites Improving generative adversarial networks via adversarial learning in latent space.Advances in neural information pro- cessing systems, 35:8868–8881.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Improving generative adversarial networks via adversarial learning in latent space.Advances in neural information pro- cessing systems, 35:8868–8881

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.234713Z

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Observation 7d4562bc-7889-4a01-8ea2-e2e148886104 · outbound

This paper cites Dual diffusion for unified image generation and understanding.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Dual diffusion for unified image generation and understanding

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.200395Z

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Observation 0ed92d0e-8eb1-479e-8a52-e6c4da332449 · outbound

This paper cites Rich hu- man feedback for text-to-image generation.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Rich hu- man feedback for text-to-image generation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.228475Z

Source-reported events for the cited work

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Observation 777b43d0-3364-4179-a24b-83191698608b · outbound

This paper cites Flow-grpo: Training flow matching models via on- line rl.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Flow-grpo: Training flow matching models via on- line rl

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.230709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9325ea06-2669-4352-93cf-11612f66d117 · outbound

This paper cites Generating images from captions with attention.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Generating images from captions with attention

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.232762Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 417911e0-eac6-4dbf-a4b9-f5d10d43d96f · outbound

This paper cites Noise diffusion for enhancing semantic faithfulness in text-to-image synthesis.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Noise diffusion for enhancing semantic faithfulness in text-to-image synthesis

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.240957Z

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Observation 02f3590a-e62a-4b76-b2fc-c32e1f2c9be5 · outbound

This paper cites Ai alignment and social choice: Funda- mental limitations and policy implications.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Ai alignment and social choice: Funda- mental limitations and policy implications

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.245545Z

Source-reported events for the cited work

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Observation b1ace0c5-0100-49c3-b99f-2dc7c8bed8ee · outbound

This paper cites Taylor, and Peter Stone.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Taylor, and Peter Stone

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.249085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2a0ca9ee-9fa5-4b90-9152-aa6801c272d3 · outbound

This paper cites On the two different aspects of the rep- resentative method: the method of stratified sampling and the method of purposive selection.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation On the two different aspects of the rep- resentative method: the method of stratified sampling and the method of purposive selection

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.224369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 69ea08e3-7771-46bc-b1a8-69ec5b35a2cb · outbound

This paper cites Goucher, Adam Perelman, Aditya Ramesh, Aidan Clark, AJ Ostrow, Akila Welihinda, Alan Hayes, and et al.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Goucher, Adam Perelman, Aditya Ramesh, Aidan Clark, AJ Ostrow, Akila Welihinda, Alan Hayes, and et al

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.250769Z

Source-reported events for the cited work

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Observation e26fe8b5-cf10-4372-9511-7fb03e271fbc · outbound

This paper cites Venkatesh Babu.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Venkatesh Babu

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.296246Z

Source-reported events for the cited work

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Observation 0015516b-437b-467f-92a0-bc87cb8c4f95 · outbound

This paper cites Curry-dpo: En- hancing alignment using curriculum learning & ranked pref- erences.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Curry-dpo: En- hancing alignment using curriculum learning & ranked pref- erences

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.294715Z

Source-reported events for the cited work

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Observation 656d50eb-d401-479f-b9d3-196e9c64416c · outbound

This paper cites Mitchell.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Mitchell

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.297853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4cf09849-ad89-4cf7-bd45-680225ce83fb · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.299789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dd2c19e2-17ff-4a98-8685-2362d37a926b · outbound

This paper cites Automatic curriculum learning for deep rl: A short survey.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Automatic curriculum learning for deep rl: A short survey

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.289021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e5906259-4acc-4542-8255-b3d83faf1310 · outbound

This paper cites Kaseb, Kent Gauen, Ryan Dailey, Sarah Agha- janzadeh, Yung-Hsiang Lu, Shu-Ching Chen, and Mei-Ling Shyu.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Kaseb, Kent Gauen, Ryan Dailey, Sarah Agha- janzadeh, Yung-Hsiang Lu, Shu-Ching Chen, and Mei-Ling Shyu

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.287306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ed41f142-e9a7-4584-b9de-52f5361c9d0e · outbound

This paper cites Self-cross diffu- sion guidance for text-to-image synthesis of similar subjects.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Self-cross diffu- sion guidance for text-to-image synthesis of similar subjects

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.290982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation baab56ad-d934-4b7d-a3ce-3118bbc20f1e · outbound

This paper cites Steps: Sequential probability tensor estimation for text-to-image hard prompt search.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Steps: Sequential probability tensor estimation for text-to-image hard prompt search

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.283754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 71b5795c-29b4-4b99-b703-d4a02f4f134e · outbound

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

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Zero-shot text-to-image generation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.282055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6f5c2492-67ff-4892-a22c-7b133c8723df · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation High-resolution image syn- thesis with latent diffusion models

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.285455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 89a0c9e6-4895-4270-a66f-244367b9b9e5 · outbound

This paper cites Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.292929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5f132c16-f586-488f-8e63-4d37a6324674 · outbound

This paper cites Probabilistic curriculum learning for goal-based reinforcement learning.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Probabilistic curriculum learning for goal-based reinforcement learning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.301630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation efb1f80b-940e-4c8e-96b8-fc0660219a64 · outbound

This paper cites Proximal policy optimization algo- rithms.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Proximal policy optimization algo- rithms

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.307512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8ff6a961-1979-404b-86e8-ff82e1c3308a · outbound

This paper cites an unresolved cited work.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-05-20T12:43:29.280324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 37ef1b43-f9d0-491b-9abb-f4c607f050f7 · outbound

This paper cites Patel, and Karthik Nandakumar.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Patel, and Karthik Nandakumar

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.278473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 50485c15-1338-4577-8576-88f84c80ede8 · outbound

This paper cites Metropolis-hastings generative adversarial net- works.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Metropolis-hastings generative adversarial net- works

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.309642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4870f79c-8339-4980-87da-c6b267f84e33 · outbound

This paper cites Minority-focused text-to- image generation via prompt optimization.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Minority-focused text-to- image generation via prompt optimization

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.303425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 741b7f70-8d74-463d-942e-108c20848679 · outbound

This paper cites Various techniques used in con- nection with random digits.John von Neumann, Collected Works, 5:768–770.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Various techniques used in con- nection with random digits.John von Neumann, Collected Works, 5:768–770

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.269528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e304ca0d-7646-49f2-9b78-4bfc29a15dc4 · outbound

This paper cites Wang, Songwei Ge, Tero Karras, Ming-Yu Liu, and Yogesh Balaji.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Wang, Songwei Ge, Tero Karras, Ming-Yu Liu, and Yogesh Balaji

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.259529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1133dae0-c8b2-405c-b185-c74ce72f0c84 · outbound

This paper cites Adapting text-to-image generation with feature difference instruction for generic image restoration.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Adapting text-to-image generation with feature difference instruction for generic image restoration

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.266028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 31ce86d6-4176-4226-a1aa-8e5b9d3c8824 · outbound

This paper cites Scaling down text encoders of text-to-image diffusion mod- els.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Scaling down text encoders of text-to-image diffusion mod- els

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.282874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9b8d040b-2b4a-4ce8-9a45-5bd9828002ab · outbound

This paper cites Unified reward model for multimodal understanding and generation.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Unified reward model for multimodal understanding and generation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.286335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation da2568e2-090a-4b50-b7dd-5254ecd02169 · outbound

This paper cites Designdiffusion: High- quality text-to-design image generation with diffusion mod- els.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Designdiffusion: High- quality text-to-design image generation with diffusion mod- els

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.271194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a6361291-7d06-42bf-a25f-5b2534973479 · outbound

This paper cites Dump: Automated distribution-level curricu- lum learning for rl-based llm post-training.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Dump: Automated distribution-level curricu- lum learning for rl-based llm post-training

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.276759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3049c161-8b83-4a32-9c94-214c2ba5a013 · outbound

This paper cites Sharpening a tool for teach- ing: the zone of proximal development.Teaching in Higher Education, 19(6):671–684.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Sharpening a tool for teach- ing: the zone of proximal development.Teaching in Higher Education, 19(6):671–684

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.256497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 665a6158-0929-439b-837e-db91270a638d · outbound

This paper cites Sana 1.5: Efficient scaling of training-time and inference-time compute in linear diffusion transformer.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Sana 1.5: Efficient scaling of training-time and inference-time compute in linear diffusion transformer

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.273080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 88bd0352-8fd9-477d-935c-db16a73d20ce · outbound

This paper cites Logic-rl: Unleashing llm reasoning with rule- based reinforcement learning.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Logic-rl: Unleashing llm reasoning with rule- based reinforcement learning

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.305629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 46a50512-8fcb-4c08-abf0-76181ec95822 · outbound

This paper cites Focus- n-fix: Region-aware fine-tuning for text-to-image genera- tion.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Focus- n-fix: Region-aware fine-tuning for text-to-image genera- tion

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.198402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e9e108ab-c664-4111-8039-67e7fc1ffa39 · outbound

This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Imagere- ward: Learning and evaluating human preferences for text- to-image generation

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.237359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 31051264-31de-46a2-9e13-796d0e883394 · outbound

This paper cites The perfect blend: Redefining rlhf with mixture of judges.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation The perfect blend: Redefining rlhf with mixture of judges

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.247359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 12ec4d82-51b4-45e5-af7c-39438f2ed2bd · outbound

This paper cites Scaling autoregressive models for content-rich text-to-image generation.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Scaling autoregressive models for content-rich text-to-image generation

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.169461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ce35b068-6355-46ba-8152-052f6a54ffca · outbound

This paper cites Learning to sample effective and diverse prompts for text-to-image generation.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation Learning to sample effective and diverse prompts for text-to-image generation

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.235482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 73857d8c-17e8-49c3-b016-afe2c2063146 · outbound

This paper cites To derive the analytical solution for the optimization problem in Eq.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation To derive the analytical solution for the optimization problem in Eq

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.292218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d2282793-b079-4077-987e-03a10ae162c6 · outbound

This paper cites The configuration uses a sampling timestepT= 10 during training andT= 40for evaluation, with an image group sizeG= 24, noise levela= 0.8, and image reso- lution 256.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation The configuration uses a sampling timestepT= 10 during training andT= 40for evaluation, with an image group sizeG= 24, noise levela= 0.8, and image reso- lution 256

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.174655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f81f7b18-daf1-449a-bb65-5b7d5aecef96 · outbound

This paper cites increasing reward with decreasing variance.

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation increasing reward with decreasing variance

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:43:29.172453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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