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Toward Understanding the Influence of Individual Clients in Federated Learning., , , , , , and . CoRR, (2020)FactCHD: Benchmarking Fact-Conflicting Hallucination Detection., , , , , , , , , and . CoRR, (2023)Making Language Models Better Tool Learners with Execution Feedback., , , , , and . NAACL-HLT, page 3550-3568. Association for Computational Linguistics, (2024)MPOD123: One Image to 3D Content Generation Using Mask-Enhanced Progressive Outline-to-Detail Optimization., , , , , , , , , and 2 other author(s). CVPR, page 10682-10692. IEEE, (2024)IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination., , , , , , and . CoRR, (2024)Billion-scale federated learning on mobile clients: a submodel design with tunable privacy., , , , , , , and . MobiCom, page 31:1-31:14. ACM, (2020)GaussianTalker: Speaker-specific Talking Head Synthesis via 3D Gaussian Splatting., , , , , , , , , and 1 other author(s). CoRR, (2024)AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning., , , , , , , and . ACL (1), page 3003-3021. Association for Computational Linguistics, (2024)NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction., , , , and . CVPR, page 8476-8485. IEEE, (2023)Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning., , , , , , , , , and 10 other author(s). OSDI, page 249-265. USENIX Association, (2022)