Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T06:48:31.213384Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 100 of 295 outbound references and 0 inbound Pith citation observations for arXiv:2607.21793.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T06:48:31.213384Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 295 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 730dca30-1ac0-4e30-ae2b-17eb3ba55269 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization DARTS: Distribution-Aware Active Rollout Trajectory Shaping for Accelerating LLM Reinforcement Learning
Reference 1
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Observation 2dae9d61-fa00-4fa7-ad58-5d5af9c2354e · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Advances in neural information processing systems , volume=
Reference 2
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Observation 3071401e-40f4-45d2-a28d-7531fd8fb165 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization 2023 , eprint=
Reference 3
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Observation c98d662d-f60e-4985-81e5-0a7a94553563 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization 2025 , eprint=
Reference 4
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Observation a006505f-6d53-4019-8b16-a95198a2106d · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization arXiv preprint arXiv:2509.18521 , year=
Reference 5
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Observation 5df58ff4-7bb4-48ce-af43-85fb27c606db · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Proceedings of the Twentieth European Conference on Computer Systems , pages=
Reference 6
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Observation 8dcd30dd-5f01-4957-979c-a3a7d152910c · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library
Reference 7
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Observation 4cd5dede-04e4-47e8-a00a-115009c85765 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
Reference 8
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Observation ad6a37c0-ab62-44c1-9b77-863eed331d99 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization arXiv preprint arXiv:2509.21009 , year=
Reference 9
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Observation 60ec856e-94c0-4350-bf9f-4bfffd6cd99e · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization arXiv preprint arXiv:2510.11345 , year=
Reference 10
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Observation bc987d12-9c0f-4ba4-b4f1-b067647d1df2 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation
Reference 11
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Observation ecca540d-4d77-4e58-825e-2fe83203497b · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training
Reference 12
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Observation 3f176268-ebbb-498f-a953-8ba9718194a7 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization History Rhymes: Accelerating LLM Reinforcement Learning with RhymeRL
Reference 13
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Observation 2ecf6c05-00e6-4f71-925e-c9666b6c47ba · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization arXiv preprint arXiv:2510.12633 , year=
Reference 14
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Observation e2bdb299-5d36-422f-9ada-e8d8f3cbf42f · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 15
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Observation cc8c3976-a21a-4dce-b251-ff605ce939a4 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Kimi K2: Open Agentic Intelligence
Reference 16
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Observation 3069c028-7ba3-41a3-82d7-662d311e9b8f · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Kimi k1.5: Scaling Reinforcement Learning with LLMs
Reference 17
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Observation 9a823554-4551-44fb-b8b6-a66682107a08 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization 2025 , author =
Reference 18
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Observation 97326a05-8a72-4959-9f8b-b91a05796733 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization 5-thinking: Advancing superb reasoning models with reinforcement learning , author=
Reference 19
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Observation 89f6d3aa-e164-49d6-bc60-72ee3c4b8db4 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization OpenAI o1 System Card
Reference 20
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Observation ebca9c4d-3346-425c-977b-5075038ec0c4 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization 2025 , author =
Reference 21
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Observation 6893356d-40d9-4c82-b43b-a8e7514d04a3 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization 2025 , author =
Reference 22
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Observation 6468e8b6-a33d-496d-b2cf-5a9cd94cb397 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization 2025 , author =
Reference 23
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Observation fef6798f-043f-46dd-a766-2c883a648f71 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization 2025 , author =
Reference 24
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Observation 9d10e571-88bf-46ba-8bc6-9843a60311c8 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization 2025 , author =
Reference 25
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Observation f009fecf-ce6b-44c1-8297-2464b743c73e · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Qwen3 Technical Report
Reference 26
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Observation 05c132e5-9a79-4f71-9ae7-ffe57a3f4bf5 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Reference 27
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Observation a84f644d-1d01-4c94-b618-fc75e3aaa21d · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization , howpublished =
Reference 28
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Observation 39cea982-f41a-4213-bd56-5292db9e36b6 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Proximal Policy Optimization Algorithms
Reference 29
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Observation d14ca402-6671-4899-9e44-88c6f5bb392e · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 30
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Observation 3c9f35f7-8376-4959-b82a-baba6ba5c515 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Reference 31
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Observation 53419a6a-e742-48f6-add0-5e7a470e019c · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Notion Blog , year=
Reference 32
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Observation bdfbd23b-38b7-44c2-bf9c-99ff829ae9c6 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Reference 33
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Observation 946b68e5-08df-4dbd-a21b-737f24eceb68 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Unresolved cited work
Reference 34
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Observation 8aebadd1-4328-4c92-8dc7-dcb14391ffa6 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Unresolved cited work
Reference 35
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Observation 5213734d-b2cb-4a2a-ae08-32685fefd028 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Unresolved cited work
Reference 36
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Observation 8d0665fe-1f71-42fc-ae9a-91433af58654 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Data Sci
Reference 37
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Observation 2aa8d52d-edf6-46de-b007-6086a482d32d · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization 2024 , issn =
Reference 38
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Observation 8428b6db-1160-4059-9dc2-2e239a58650f · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Advances of Pipeline Model Parallelism for Deep Learning Training: An Overview , journal =
Reference 39
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Observation cf32b25b-7e98-4067-9363-541be3aa67fe · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Unresolved cited work
Reference 40
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Observation 972c8d87-f9e4-4004-b7c2-d27ddf053f33 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Big Bird: Transformers for Longer Sequences , booktitle =
Reference 41
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Observation 73ae6671-9688-4ef3-8473-eb002fdbbf01 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Baichuan 2: Open Large-scale Language Models
Reference 42
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Observation fa685c76-f8fb-4ad9-ace7-2c8fcb2be258 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization The Llama 3 Herd of Models
Reference 43
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Observation aa52407b-62a8-4b85-8a4f-74b747b76e3a · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization 2023 , eprint=
Reference 45
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Observation 8cc9a333-5718-4ff1-aef4-591522e358cc · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Proceedings of the 2022 International Conference on Management of Data , pages =
Reference 47
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Observation af8e665c-bd7c-45ec-a012-2d9155bcac3d · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Proceedings of the 2021 International Conference on Management of Data , pages =
Reference 48
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Observation ebadc26b-5beb-444c-8020-42e37a0bad1d · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Forty-first International Conference on Machine Learning,
Reference 49
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Observation 34e710bc-2a0a-42b0-8975-2b94628390dc · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Unresolved cited work
Reference 50
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Observation b3c89438-2031-4ec8-9aed-fbc0aa5e7c0e · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Unresolved cited work
Reference 51
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Observation 46195bd6-c61b-4c76-af21-dc2fffbe4ae5 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Proceedings of the 2022 International Conference on Management of Data , pages =
Reference 52
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Observation 604b023d-6c69-4e93-b42e-06ca0e1ecc98 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Unresolved cited work
Reference 53
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Observation e4071d2c-5035-47d2-a93c-92e803e18c4a · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Unresolved cited work
Reference 54
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Observation 2ce3e0db-ec3d-4dd4-a5c9-bcf591e8e843 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization 2009 , isbn =
Reference 55
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Observation ff7e6146-e46f-4aaf-bd98-d12152445f7f · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 , pages=
Reference 56
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Observation c3cdc54f-0b07-4a50-8da2-15c8ee6a0860 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Proceedings of the Eighteenth European Conference on Computer Systems , pages=
Reference 57
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Observation 3cfa6997-b49a-44ea-9811-125e03e2f02c · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24) , pages=
Reference 58
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Observation 44b7b8e9-2396-4869-a7c0-fe7ab5475b37 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Qwen Technical Report
Reference 59
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Observation 194838b9-db7b-47ec-876a-d76b29b232f5 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Gehringer and Daniel P
Reference 60
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Observation adabdd42-3354-486e-82f6-b152a7422f7f · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization 1992 , isbn =
Reference 61
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Observation 8991d225-1c38-4467-9a54-b0e78760e51b · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Kovalyov and Maciej Machowiak
Reference 62
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Observation 71d54759-8ecb-4665-afbb-348a07a13158 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Annals of Operations Research , year=
Reference 63
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Observation 4f9dfeb7-667e-4abe-971a-06dd5ceb9796 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Optimization and Control of Dynamic Operational Research Models , pages=
Reference 64
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Observation 55a0ae03-3a2c-46fd-b44b-47b912bc3550 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Unresolved cited work
Reference 65
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Observation 7494cd29-ff52-4641-8c41-62244ea16002 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Gomez and Lukasz Kaiser and Illia Polosukhin , title =
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Observation 9767258a-d542-46f2-9d4b-644b7a7f1537 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization wav2vec 2.0:
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Observation db24f521-4b52-4d44-af97-c1c7f884a9ff · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Unresolved cited work
Reference 68
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Observation b0d89cf1-f9e4-4e5b-829b-a7310da19006 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training , booktitle =
Reference 69
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Observation 2b21a471-863f-4e51-8355-b25d958f7726 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Large-Scale Self- and Semi-Supervised Learning for Speech Translation , booktitle =
Reference 70
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Observation 0933a20c-d9d2-4fdd-9edb-2780946baa5c · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Robust Speech Recognition via Large-Scale Weak Supervision , booktitle =
Reference 71
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Observation 889c2fc9-ad58-4cdd-9b47-9dff8769d8e4 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization The Tenth International Conference on Learning Representations,
Reference 72
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Observation 9e5b5479-cfe7-415d-ae15-0f4966110247 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis , pages=
Reference 73
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Observation 809e6696-f35a-4bce-93e2-8b5b67599f79 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Optimization Methods for Large-Scale Machine Learning , journal =
Reference 74
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Observation 1a117779-5100-430d-91eb-497fc1f32260 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization ICML , volume =
Reference 75
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Observation 37983ffb-a50b-4e68-8af5-df44feea2556 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization ICCC , pages=
Reference 76
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Observation 855859ae-48c3-4212-a9c9-0a6bc493c26b · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Mechanical Systems and Signal Processing , volume=
Reference 77
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Observation d188cc07-0f75-40c3-8092-cf9a02deb696 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization NeurIPS , pages=
Reference 78
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Observation 59e81f45-3b42-43ef-8aca-a71f5b1adc9e · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization ICML , pages=
Reference 79
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Observation 243179c4-64ce-4de4-b319-fcd70e86b21e · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Andersen and Jun Woo Park and Alexander J
Reference 80
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Observation 0753f9a1-5fe5-4b31-b815-4dedc3770ff1 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Taming unbalanced training workloads in deep learning with partial collective operations , booktitle =
Reference 81
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Observation 9fb47e1d-6851-49b9-9550-9efe17c0c1d8 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization ICLR , year =
Reference 82
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Observation d657bb5d-061f-4630-884d-48e881f4c224 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization ImageNet:
Reference 83
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Observation 482c5b41-2c73-485f-a4e4-370b1e3b4761 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Demystifying Parallel and Distributed Deep Learning: An In-depth Concurrency Analysis , journal =
Reference 84
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Observation de7604b1-df12-47d0-9061-586cac9673cd · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization NAACL-HLT , pages =
Reference 85
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Observation 9f6246a3-f105-4ea9-aa20-18531db9e8b3 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization SIGMOD , pages =
Reference 86
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Observation 9501a609-af27-431c-9d9c-bdd019d77f22 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization SIGMOD , pages =
Reference 87
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Observation f86578c3-52a9-4c71-a1ec-c90f34d6a292 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization DimmWitted:
Reference 88
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Observation 075f639d-7e21-42b1-9309-331f440e8f30 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization SIGMOD , pages =
Reference 89
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Observation cf75ecd1-e47a-47db-ae12-c9562b25199b · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization TensorFlow:
Reference 90
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Observation f117424c-8f3d-4fed-a377-9e0dc843f0b7 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization SIGMOD , pages =
Reference 91
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Observation f5f24593-9dc5-426f-bdfc-206e7906f3d5 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Gibbons and Garth A
Reference 92
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Observation 22ec1fe5-53a2-457b-8ec1-bc234f38b606 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Ganger and Phillip B
Reference 93
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Observation c5595b54-dc8c-4e34-a563-ea432d492613 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Brewer and John Wilkes , title =
Reference 94
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Observation 7dc3e747-8c97-4ac5-bb07-e03a6e26d475 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization OSDI , pages =
Reference 95
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Observation 83824867-0535-4fd7-9770-41b2e3dbf70e · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization NeurIPS , pages =
Reference 96
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Observation 51fe7cbf-fef2-42cc-a0df-09c260ce33d4 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Unresolved cited work
Reference 97
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Observation c11d2c1b-1629-4eb8-a08d-5808c242e80c · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization CoRR , volume =
Reference 98
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Observation 2853d193-fbd4-42d6-b1b6-340539ec93e8 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks , booktitle =
Reference 99
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Observation 787d79dc-7118-4c7d-bae6-a986d90e989c · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization NeurIPS , year=
Reference 100
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Observation 6354e144-ba4f-445e-a293-f76a8b106cda · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization CVPR , pages =
Reference 101
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Observation dbfdc495-44cc-4719-8533-fd1acd75edb5 · outbound
QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Weinberger , title =
Reference 102
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No inbound Pith citation observations are available.