Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T03:07:59.787733Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2607.03346.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-07-12T03:07:59.787733Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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
78 of 78 outbound references displayed
External citation measurements
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Observation 1242f109-8928-4cd4-8b90-01e7a39356c1 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging A marketplace for data: An algorithmic solution
Reference 1
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Observation f3769548-ec5d-4676-ae7e-b504ffd47945 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Mix Data or Merge Models? Optimizing for Diverse Multi-Task Learning
Reference 2
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Observation dfbd41df-fbce-4c64-b6e2-8d25d8568063 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Towards reversible model merging for low-rank weights.arXiv preprint arXiv:2510.14163, 2025
Reference 3
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Observation da8a5da5-dfea-4ce5-a723-8a2c2c226e03 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Fundamentals of task- agnostic data valuation
Reference 4
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Observation 6d501dab-1161-4dd8-bcf3-0fc87b779ad5 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Food-101–mining discriminative components with random forests
Reference 5
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Observation 76f28ae9-4f99-462c-ac09-23a368e35473 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning
Reference 6
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Observation 3dc27b28-c9b1-4cb8-8596-44d153ce78fe · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Towards model-based pricing for machine learning in a data marketplace
Reference 7
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Observation 382c4e66-de17-414f-920b-1128408edf1e · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Defending unauthorized model merging via dual-stage weight protection.arXiv preprint arXiv:2511.11851, 2025
Reference 8
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Observation 77601dc2-3e43-4f42-bf54-26a3c24d0a1f · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Remote sensing image scene classification: Benchmark and state of the art.Proceedings of the IEEE, 105(10):1865–1883, 2017
Reference 9
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Observation 9f2c4d2e-563e-405a-9d7c-e45b22a80e7c · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging A Joint Energy and Differentially-Private Smart Meter Data Market
Reference 10
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Observation fb151ccc-7427-49d0-b845-f5ba62d4d359 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Aggarwal, and Yao Ma
Reference 11
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Observation f6a260c3-9075-4ec4-923f-71069ab55add · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Scaling Instruction-Finetuned Language Models
Reference 12
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Observation 8f2043da-44a0-48d2-bf56-04cfcea285f4 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Describing textures in the wild
Reference 13
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Observation 026ab180-0987-44eb-b0b6-74c90c5f85f4 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Boolq: Exploring the surprising difficulty of natural yes/no questions
Reference 14
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Observation 89e827d4-c670-4ab6-8ae0-e1b1311205cd · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 15
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Observation b092aa5d-ca56-48af-855a-dc9a8d27b51b · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Training Verifiers to Solve Math Word Problems
Reference 16
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Observation 85e581c0-7fb3-4772-9f85-69d2bdabd63b · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Emnist: Extending mnist to handwritten letters
Reference 17
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Observation 373031b5-4b7a-4ecf-852e-ccb988eb23e3 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation
Reference 18
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Observation 644527e2-8eab-426f-a572-3f3ad60b9a11 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Du-shapley: A shapley value proxy for efficient dataset valuation.Advances in Neural Information Processing Systems, 37:1973–2000, 2024
Reference 19
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Observation 6c572775-97a2-46e5-9809-5e89c78368eb · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies
Reference 20
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Observation 7b529507-602d-4dfc-a179-d57309aa1bab · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Data shapley: Equitable valuation of data for machine learning
Reference 21
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Observation afb0c9bf-b708-4105-afe7-fc541af9ae1e · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging The Llama 3 Herd of Models
Reference 22
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Observation 146f60eb-07d8-4201-9892-cbbcd287c859 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Unresolved cited work
Reference 23
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Observation 5c27d139-f6fa-4f6e-ad4c-8965fca81052 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Unresolved cited work
Reference 24
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Observation 5b465638-5e42-46d6-a65c-c8bbb0a1b49d · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Editing models with task arithmetic
Reference 25
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Observation 4f910584-5e2f-4881-8d53-948873df9f26 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Private, Augmentation-Robust and Task-Agnostic Data Valuation Approach for Data Marketplace
Reference 26
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Observation b523114c-278a-4f15-bb62-9b20d2c09441 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Efficient task-specific data valuation for nearest neighbor algorithms.Proc
Reference 27
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Observation ab2d0ad6-6ef5-467d-b454-149a3bc8b1ef · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Unresolved cited work
Reference 28
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Observation 3dd60136-7749-4a11-89fd-0c6c4199f242 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Pubmedqa: A dataset for biomedical research question answering
Reference 29
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Observation a0a99520-9b8a-4e74-abdd-2d3efa573b4c · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Disrupting model merging: A parameter-level defense without sacrificing accuracy
Reference 30
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Observation 4e2243cd-e143-46b8-8d67-e43dd78040cc · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Understanding black-box predictions via influence functions
Reference 31
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Observation 3b58fed8-063d-4889-9d8e-5b81f3c522d3 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging 3d object representations for fine- grained categorization
Reference 32
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Observation 8dfa7927-d6a3-4c88-998a-cdcec1e0dcb2 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Learning multiple layers of features from tiny images
Reference 33
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Observation f8fcebfa-ae16-4773-97f8-c51f46c037d6 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278–2324, 1998
Reference 34
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Observation 3fae00a9-7268-4d00-bf20-39e103f6b564 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging When is task vector provably effective for model editing? a generalization analysis of nonlinear transformers
Reference 35
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Observation 540c74c9-79ea-4f6e-b006-bed4a2a8b05c · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning
Reference 36
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Observation 9ef88f1a-08f1-4c05-9bfe-a1f77f23f9cd · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Dealer: an end-to-end model marketplace with differential privacy.Proc
Reference 37
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Observation 8e3b5bf7-13b1-418f-a2cd-53ac4c6d94bf · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging doi: 10.14778/3447689.3447700
Reference 38
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Observation 4afebfdf-0415-43cc-b815-1eaa0cd2c633 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Data Measurements for Decentralized Data Markets
Reference 39
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Observation 3a5263f3-7872-4811-9a5a-02cc96ea328b · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Maas, Raymond E
Reference 40
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Observation ee7dd67b-f52a-4e7d-9097-076f5e7ee421 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Bounding the Estimation Error of Sampling-based Shapley Value Approximation
Reference 41
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Observation ebd7dc03-83d2-4ac9-8936-c8b32426e512 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Merging models with fisher-weighted averaging
Reference 42
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Observation 8e53842f-ca88-4904-8803-b1d63eb46f73 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Can a suit of armor conduct electricity? a new dataset for open book question answering
Reference 43
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Observation 3a809568-6eee-408c-bee5-51fbd9d71f33 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Scalable data ablation approximations for language models through modular training and merging
Reference 44
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Observation 4b90de15-ef19-4098-b84e-a63dccdc9e44 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Unresolved cited work
Reference 45
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Observation f91aa75e-7e94-4ebc-94b0-490fd486cf7e · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Selectformer: Private and practical data selec- tion for transformers
Reference 46
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Observation 23463c06-81cf-4eb5-9be1-2b0d81c68cb6 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Unresolved cited work
Reference 47
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Observation 0661bbf0-e769-40e3-8ac3-356ca4e982d8 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering
Reference 48
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Observation 51044b83-cfae-45e3-ba90-a31f992375a1 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Parkhi, Andrea Vedaldi, Andrew Zisserman, and C
Reference 49
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Observation 062b91b3-ace9-463e-961b-48f314d458c8 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Recognizing indoor scenes
Reference 50
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Observation e5aa3f48-32ef-40ec-9fa6-1274e94db4dd · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Qwen2.5 Technical Report
Reference 51
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Observation 53cb73d6-7699-4a0a-85b7-a38af64b128d · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Learning transferable visual models from natural language supervision
Reference 52
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Observation b438f718-c092-4674-b44d-11f2b0463461 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging A value for n-person games
Reference 53
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Observation b5c5630f-bd37-40aa-afac-3cdad84a68c7 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging The german traffic sign recognition benchmark: A multi-class classification competition
Reference 54
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Observation c10c54ef-9329-410e-a7b2-b29e8638a40f · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging CommonsenseQA: A question answering challenge targeting commonsense knowledge
Reference 55
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Observation f011f85e-9220-4d84-9c50-446a6e9bd509 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Fusionbench: A comprehensive benchmark of deep model fusion.Journal of Machine Learning Research, 2025
Reference 56
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Observation db07b7f5-d63f-4ac9-bcfd-118706f68778 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Heterogeneous graph data valuation: A shapley value- based approach
Reference 57
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Observation 583a8817-0454-458b-8787-464890970138 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Merge to Mix: Mixing Datasets via Model Merging
Reference 58
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Observation 8aefd375-a6f9-4d48-b7f1-6349a31d725e · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Private Data Valuation and Fair Payment in Data Marketplaces
Reference 59
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Observation edb5473a-e314-4044-9b06-7936a4d80e53 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Attention is all you need.Advances in neural information processing systems, 30, 2017
Reference 60
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Observation bc518027-56e7-40b0-9329-9e8cd8fa3742 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging GLUE: A multi-task benchmark and analysis platform for natural language understanding
Reference 61
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Observation 72e052bc-72ad-436d-8260-3d2ab929e9ed · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Wang, Prateek Mittal, Dawn Song, and Ruoxi Jia
Reference 62
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Observation f00cdd65-48f9-44cd-b6bf-5ff577ec866e · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Model Unmerging: Making Your Models Unmergeable for Secure Model Sharing
Reference 63
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Observation d29c88be-d278-415e-8863-9d0e59ebc6aa · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Scaling intelligence through model merging: A comprehensive survey.Authorea Preprints, 2025
Reference 64
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Observation 70ffb220-3184-4b69-be35-36cc32251028 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Reference 65
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Observation 16342ac1-fac2-4836-9b6e-08e5518647ef · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Visual transformers: Token-based image representation and processing for computer vision, 2020
Reference 66
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Observation e1613ffb-b867-4f57-9c13-0b55b3bfef6d · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Reference 67
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Observation fd50621d-10d8-4987-a4e4-cbce74cc72f7 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Ehinger, Aude Oliva, and Antonio Torralba
Reference 68
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Observation be351dd6-f97a-4a0d-bb27-df8848b72bbb · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Ties-merging: Resolving interference when merging models.Advances in Neural Information Processing Systems, 36:7093–7115, 2023
Reference 69
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Observation 39ace9f7-171a-468f-a174-71af05241a93 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging On the Inflation of KNN-Shapley Value
Reference 70
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Observation e36d49c2-0c2d-4fdb-82ab-83d2d8803fd8 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Data valuation using reinforcement learning
Reference 71
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Observation 2d6971f2-09d9-4a85-85fb-8c92df047222 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Language models are super mario: Absorbing abilities from homologous models as a free lunch
Reference 72
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Observation b7062587-6939-4e06-a014-9d3cf5a208e7 · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Character-level convolutional networks for text classification.Advances in neural information processing systems, 28, 2015
Reference 73
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Observation aeefecca-af77-4605-8a28-8d332652688e · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Paws: Paraphrase adversaries from word scrambling
Reference 74
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Observation 2dc8e83e-f759-426a-9c6f-053d70f7c38c · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Toward Efficient Influence Function: Dropout as a Compression Tool
Reference 75
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Observation 2007e623-1b6e-4b5c-b5ff-3a913be9596b · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging On task vectors and gradients.arXiv preprint arXiv:2508.16082, 2025
Reference 76
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Observation 52c72c91-6dd8-4440-9e31-3087afc5de8a · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Multi-task code llms: Data mix or model merge?arXiv preprint arXiv:2601.21115, 2026
Reference 77
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Observation a7578e75-6f95-454d-9820-16e21697561e · outbound
Efficient Decentralized Multi-task Dataset Valuation via Model Merging Moreover, the Shapley coefficients form a convex combination, i.e., 1 n P S⊆[n]\{i} 1 ( n−1 |S| ) = 1
Reference 78
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