{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/model/papers/26","list_of":"/task/model","task":"model","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":26,"pages_in_order":55,"rows_per_page":100,"rows":[2501,2600],"of":5434,"counts":{"archive_papers_tagged":5434,"with_a_code_link":1733,"where_syntology_ran_a_sample":517,"not_listed_spam_title":0,"listed":5434,"listed_where_code_ran":517,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":424,"every_run_a_failure_of_syntologys_instrument":93,"listed_with_a_run_with_no_instrument_failure":424,"listed_every_run_a_failure_of_syntologys_instrument":93,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/model","prev":"/task/model/papers/25","next":"/task/model/papers/27","papers":[{"url":null,"slug":"diffusion-model-patching-via-mixture-of","title":"Diffusion Model Patching via Mixture-of-Prompts","date":"2024-05-28","arxiv_id":"2405.17825","repositories_listed":0,"syntology":null},{"url":null,"slug":"symbolic-regression-for-beyond-the-standard","title":"Symbolic Regression for Beyond the Standard Model Physics","date":"2024-05-28","arxiv_id":"2405.18471","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-evolution-of-multimodal-model","title":"The Evolution of Multimodal Model Architectures","date":"2024-05-28","arxiv_id":"2405.17927","repositories_listed":0,"syntology":null},{"url":null,"slug":"bwarea-model-learning-world-model-inverse","title":"BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation","date":"2024-05-27","arxiv_id":"2405.17039","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-model-compression-for-hierarchical","title":"Efficient Model Compression for Hierarchical Federated Learning","date":"2024-05-27","arxiv_id":"2405.17522","repositories_listed":0,"syntology":null},{"url":null,"slug":"locally-testing-model-detections-for-semantic","title":"Locally Testing Model Detections for Semantic Global Concepts","date":"2024-05-27","arxiv_id":"2405.17523","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-economic-implications-of-large-language","title":"The Economic Implications of Large Language Model Selection on Earnings and Return on Investment: A Decision Theoretic Model","date":"2024-05-27","arxiv_id":"2405.17637","repositories_listed":0,"syntology":null},{"url":null,"slug":"zamba-a-compact-7b-ssm-hybrid-model","title":"Zamba: A Compact 7B SSM Hybrid Model","date":"2024-05-26","arxiv_id":"2405.16712","repositories_listed":0,"syntology":null},{"url":null,"slug":"modellock-locking-your-model-with-a-spell","title":"ModelLock: Locking Your Model With a Spell","date":"2024-05-25","arxiv_id":"2405.16285","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-hierarchical-bayesian-model-for-syntactic","title":"A hierarchical Bayesian model for syntactic priming","date":"2024-05-24","arxiv_id":"2405.15964","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-pruning","title":"Large Language Model Pruning","date":"2024-05-24","arxiv_id":"2406.00030","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-cascading-for-code-reducing-inference","title":"Model Cascading for Code: A Cascaded Black-Box Multi-Model Framework for Cost-Efficient Code Completion with Self-Testing","date":"2024-05-24","arxiv_id":"2405.15842","repositories_listed":0,"syntology":null},{"url":null,"slug":"stylemaster-towards-flexible-stylized-image","title":"ArtWeaver: Advanced Dynamic Style Integration via Diffusion Model","date":"2024-05-24","arxiv_id":"2405.15287","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-agnostic-utility-preserving-biometric","title":"Model-Agnostic Utility-Preserving Biometric Information Anonymization","date":"2024-05-23","arxiv_id":"2405.15062","repositories_listed":0,"syntology":null},{"url":null,"slug":"music-genre-classification-training-an-ai","title":"Music Genre Classification: Training an AI model","date":"2024-05-23","arxiv_id":"2405.15096","repositories_listed":0,"syntology":null},{"url":null,"slug":"scalable-visual-state-space-model-with","title":"Scalable Visual State Space Model with Fractal Scanning","date":"2024-05-23","arxiv_id":"2405.14480","repositories_listed":0,"syntology":null},{"url":null,"slug":"design-editing-for-offline-model-based","title":"Design Editing for Offline Model-based Optimization","date":"2024-05-22","arxiv_id":"2405.13964","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-free-prediction-with-uncertainty","title":"Model Free Prediction with Uncertainty Assessment","date":"2024-05-21","arxiv_id":"2405.12684","repositories_listed":0,"syntology":null},{"url":null,"slug":"docrelm-mastering-document-retrieval-with","title":"DocReLM: Mastering Document Retrieval with Language Model","date":"2024-05-19","arxiv_id":"2405.11461","repositories_listed":0,"syntology":null},{"url":"/paper/dino-as-a-von-mises-fisher-mixture-model-1","slug":"dino-as-a-von-mises-fisher-mixture-model-1","title":"DINO as a von Mises-Fisher mixture model","date":"2024-05-17","arxiv_id":"2405.10939","repositories_listed":0,"syntology":null},{"url":null,"slug":"when-large-language-model-meets-optimization","title":"When Large Language Model Meets Optimization","date":"2024-05-16","arxiv_id":"2405.10098","repositories_listed":0,"syntology":null},{"url":null,"slug":"aggregate-representation-measure-for","title":"Aggregate Representation Measure for Predictive Model Reusability","date":"2024-05-15","arxiv_id":"2405.09600","repositories_listed":0,"syntology":null},{"url":null,"slug":"speechverse-a-large-scale-generalizable-audio","title":"SpeechVerse: A Large-scale Generalizable Audio Language Model","date":"2024-05-14","arxiv_id":"2405.08295","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparative-analysis-of-aws-model-deployment","title":"Comparative Analysis of AWS Model Deployment Services","date":"2024-05-13","arxiv_id":"2405.08175","repositories_listed":0,"syntology":null},{"url":null,"slug":"uccix-irish-excellence-large-language-model","title":"UCCIX: Irish-eXcellence Large Language Model","date":"2024-05-13","arxiv_id":"2405.13010","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-compact-delay-model-for-ots-devices","title":"A Compact Delay Model for OTS Devices","date":"2024-05-12","arxiv_id":"2405.07311","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-assessment-of-model-on-model-deception","title":"An Assessment of Model-On-Model Deception","date":"2024-05-10","arxiv_id":"2405.12999","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-in-financial-regulatory","title":"Large Language Model in Financial Regulatory Interpretation","date":"2024-05-10","arxiv_id":"2405.06808","repositories_listed":0,"syntology":null},{"url":null,"slug":"lmd3-language-model-data-density-dependence","title":"LMD3: Language Model Data Density Dependence","date":"2024-05-10","arxiv_id":"2405.06331","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-based-adaptive-control-of-modular","title":"Model-Based Adaptive Control of Modular Multilevel Converters","date":"2024-05-10","arxiv_id":"2405.06469","repositories_listed":0,"syntology":null},{"url":null,"slug":"shape-conditioned-human-motion-generation","title":"Shape Conditioned Human Motion Generation with Diffusion Model","date":"2024-05-10","arxiv_id":"2405.06778","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-positioning-using-a-new-diffraction-path","title":"3D Positioning using a New Diffraction Path Model","date":"2024-05-09","arxiv_id":"2405.05801","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-inversion-robustness-can-transfer","title":"Model Inversion Robustness: Can Transfer Learning Help?","date":"2024-05-09","arxiv_id":"2405.05588","repositories_listed":0,"syntology":null},{"url":null,"slug":"mitigating-bias-using-model-agnostic-data","title":"Mitigating Bias Using Model-Agnostic Data Attribution","date":"2024-05-08","arxiv_id":"2405.05031","repositories_listed":0,"syntology":null},{"url":null,"slug":"sutra-scalable-multilingual-language-model","title":"SUTRA: Scalable Multilingual Language Model Architecture","date":"2024-05-07","arxiv_id":"2405.06694","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-quantile-based-nonadditive-fixed-effects","title":"A quantile-based nonadditive fixed effects model","date":"2024-05-06","arxiv_id":"2405.03826","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-q-learning-with-large-language","title":"Enhancing Q-Learning with Large Language Model Heuristics","date":"2024-05-06","arxiv_id":"2405.03341","repositories_listed":0,"syntology":null},{"url":null,"slug":"ted-accelerate-model-training-by-internal","title":"TED: Accelerate Model Training by Internal Generalization","date":"2024-05-06","arxiv_id":"2405.03228","repositories_listed":0,"syntology":null},{"url":null,"slug":"trackable-island-model-genetic-algorithms-at","title":"Trackable Island-model Genetic Algorithms at Wafer Scale","date":"2024-05-06","arxiv_id":"2405.03605","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-and-economic-large-language-model","title":"Efficient Heterogeneous Large Language Model Decoding with Model-Attention Disaggregation","date":"2024-05-03","arxiv_id":"2405.01814","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-based-reinforcement-learning-for-8","title":"Model-based reinforcement learning for protein backbone design","date":"2024-05-03","arxiv_id":"2405.01983","repositories_listed":0,"syntology":null},{"url":null,"slug":"constrained-reinforcement-learning-under","title":"Constrained Reinforcement Learning Under Model Mismatch","date":"2024-05-02","arxiv_id":"2405.01327","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-agent-for-fake-news","title":"Large Language Model Agent for Fake News Detection","date":"2024-04-30","arxiv_id":"2405.01593","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-informed-patent-image","title":"Large Language Model Informed Patent Image Retrieval","date":"2024-04-30","arxiv_id":"2404.19360","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-framework-to-model-ml-engineering-processes","title":"A Framework to Model ML Engineering Processes","date":"2024-04-29","arxiv_id":"2404.18531","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-period-black-litterman-model","title":"Dynamic Black-Litterman","date":"2024-04-29","arxiv_id":"2404.18822","repositories_listed":0,"syntology":null},{"url":null,"slug":"spivavtor-an-instruction-tuned-ukrainian-text","title":"Spivavtor: An Instruction Tuned Ukrainian Text Editing Model","date":"2024-04-29","arxiv_id":"2404.18880","repositories_listed":0,"syntology":null},{"url":null,"slug":"patentgpt-a-large-language-model-for","title":"PatentGPT: A Large Language Model for Intellectual Property","date":"2024-04-28","arxiv_id":"2404.18255","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-agent-as-a-mechanical","title":"Large Language Model Agent as a Mechanical Designer","date":"2024-04-26","arxiv_id":"2404.17525","repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-model-selection-for-generalized","title":"Automated Model Selection for Generalized Linear Models","date":"2024-04-25","arxiv_id":"2404.16560","repositories_listed":0,"syntology":null},{"url":null,"slug":"boosting-model-resilience-via-implicit","title":"Boosting Model Resilience via Implicit Adversarial Data Augmentation","date":"2024-04-25","arxiv_id":"2404.16307","repositories_listed":0,"syntology":null},{"url":null,"slug":"mmgrec-multimodal-generative-recommendation","title":"MMGRec: Multimodal Generative Recommendation with Transformer Model","date":"2024-04-25","arxiv_id":"2404.16555","repositories_listed":0,"syntology":null},{"url":null,"slug":"blind-federated-learning-without-initial","title":"Blind Federated Learning without initial model","date":"2024-04-24","arxiv_id":"2404.16180","repositories_listed":0,"syntology":null},{"url":null,"slug":"matfusion-a-generative-diffusion-model-for","title":"MatFusion: A Generative Diffusion Model for SVBRDF Capture","date":"2024-04-24","arxiv_id":"2406.06539","repositories_listed":0,"syntology":null},{"url":null,"slug":"music-style-transfer-with-diffusion-model","title":"Music Style Transfer With Diffusion Model","date":"2024-04-23","arxiv_id":"2404.14771","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-asymmetric-capital-asset-pricing-model","title":"An Asymmetric Capital Asset Pricing Model","date":"2024-04-22","arxiv_id":"2404.14137","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-liability-model-with-adaptation-to","title":"Joint Liability Model with Adaptation to Climate Change","date":"2024-04-22","arxiv_id":"2404.13818","repositories_listed":0,"syntology":null},{"url":null,"slug":"paramanu-ganita-language-model-with","title":"PARAMANU-GANITA: Language Model with Mathematical Capabilities","date":"2024-04-22","arxiv_id":"2404.14395","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-n-gene-model-for-evolutionary-games","title":"The N-Gene Model for Evolutionary Games","date":"2024-04-19","arxiv_id":"2404.13093","repositories_listed":0,"syntology":null},{"url":null,"slug":"meshlrm-large-reconstruction-model-for-high","title":"MeshLRM: Large Reconstruction Model for High-Quality Meshes","date":"2024-04-18","arxiv_id":"2404.12385","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-satellite-communications-based-on","title":"Semantic Satellite Communications Based on Generative Foundation Model","date":"2024-04-18","arxiv_id":"2404.11941","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-text-steganography-with-large","title":"Generative Text Steganography with Large Language Model","date":"2024-04-16","arxiv_id":"2404.10229","repositories_listed":0,"syntology":null},{"url":null,"slug":"mowa-multiple-in-one-image-warping-model","title":"MOWA: Multiple-in-One Image Warping Model","date":"2024-04-16","arxiv_id":"2404.10716","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-model-cascades-token-level","title":"Language Model Cascades: Token-level uncertainty and beyond","date":"2024-04-15","arxiv_id":"2404.10136","repositories_listed":0,"syntology":null},{"url":null,"slug":"feddistill-global-model-distillation-for","title":"FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning","date":"2024-04-14","arxiv_id":"2404.09210","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-based-offline-quantum-reinforcement","title":"Model-based Offline Quantum Reinforcement Learning","date":"2024-04-14","arxiv_id":"2404.10017","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-parametric-rate-distortion-model-for-video","title":"A Parametric Rate-Distortion Model for Video Transcoding","date":"2024-04-13","arxiv_id":"2404.09029","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-model-prompt-selection-via","title":"Language Model Prompt Selection via Simulation Optimization","date":"2024-04-12","arxiv_id":"2404.08164","repositories_listed":0,"syntology":null},{"url":null,"slug":"training-a-vision-language-model-as","title":"Training a Vision Language Model as Smartphone Assistant","date":"2024-04-12","arxiv_id":"2404.08755","repositories_listed":0,"syntology":null},{"url":null,"slug":"vehicle-to-vehicle-charging-model-complexity","title":"Vehicle-to-Vehicle Charging: Model, Complexity, and Heuristics","date":"2024-04-12","arxiv_id":"2404.08837","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-language-model-reasoning-with-self","title":"Improving Language Model Reasoning with Self-motivated Learning","date":"2024-04-10","arxiv_id":"2404.07017","repositories_listed":0,"syntology":null},{"url":null,"slug":"onnxpruner-onnx-based-general-model-pruning","title":"ONNXPruner: ONNX-Based General Model Pruning Adapter","date":"2024-04-10","arxiv_id":"2404.08016","repositories_listed":0,"syntology":null},{"url":null,"slug":"evolving-efficient-cnn-based-model-for-image","title":"Evolving Efficient CNN Based Model for Image Classification","date":"2024-04-09","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"federated-learning-model-for-predicting-major","title":"Federated learning model for predicting major postoperative complications","date":"2024-04-09","arxiv_id":"2404.06641","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantum-state-generation-with-structure","title":"Quantum State Generation with Structure-Preserving Diffusion Model","date":"2024-04-09","arxiv_id":"2404.06336","repositories_listed":0,"syntology":null},{"url":null,"slug":"synergy-of-large-language-model-and-model","title":"Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems","date":"2024-04-08","arxiv_id":"2404.05508","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-probabilistic-model-of-relapse-in-drug","title":"A probabilistic model of relapse in drug addiction","date":"2024-04-06","arxiv_id":"2404.04755","repositories_listed":0,"syntology":null},{"url":null,"slug":"binary-classifier-optimization-for-large","title":"Binary Classifier Optimization for Large Language Model Alignment","date":"2024-04-06","arxiv_id":"2404.04656","repositories_listed":0,"syntology":null},{"url":null,"slug":"gp-molformer-a-foundation-model-for-molecular","title":"GP-MoLFormer: A Foundation Model For Molecular Generation","date":"2024-04-04","arxiv_id":"2405.04912","repositories_listed":0,"syntology":null},{"url":null,"slug":"insectmamba-insect-pest-classification-with","title":"InsectMamba: Insect Pest Classification with State Space Model","date":"2024-04-04","arxiv_id":"2404.03611","repositories_listed":0,"syntology":null},{"url":null,"slug":"severity-controlled-text-to-image-generative","title":"Manipulating and Mitigating Generative Model Biases without Retraining","date":"2024-04-03","arxiv_id":"2404.02530","repositories_listed":0,"syntology":null},{"url":null,"slug":"vocabulary-attack-to-hijack-large-language","title":"Vocabulary Attack to Hijack Large Language Model Applications","date":"2024-04-03","arxiv_id":"2404.02637","repositories_listed":0,"syntology":null},{"url":null,"slug":"asymptotics-of-language-model-alignment","title":"Asymptotics of Language Model Alignment","date":"2024-04-02","arxiv_id":"2404.01730","repositories_listed":0,"syntology":null},{"url":null,"slug":"effective-internal-language-model-training","title":"Effective internal language model training and fusion for factorized transducer model","date":"2024-04-02","arxiv_id":"2404.01716","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-agnostic-human-preference-inversion-in","title":"Model-Agnostic Human Preference Inversion in Diffusion Models","date":"2024-04-01","arxiv_id":"2404.00879","repositories_listed":0,"syntology":null},{"url":null,"slug":"relation-rectification-in-diffusion-model","title":"Relation Rectification in Diffusion Model","date":"2024-03-29","arxiv_id":"2403.20249","repositories_listed":0,"syntology":null},{"url":null,"slug":"developing-healthcare-language-model","title":"Developing Healthcare Language Model Embedding Spaces","date":"2024-03-28","arxiv_id":"2403.19802","repositories_listed":0,"syntology":null},{"url":null,"slug":"make-large-language-model-a-better-ranker","title":"Make Large Language Model a Better Ranker","date":"2024-03-28","arxiv_id":"2403.19181","repositories_listed":0,"syntology":null},{"url":null,"slug":"probabilistic-model-checking-of-stochastic","title":"Probabilistic Model Checking of Stochastic Reinforcement Learning Policies","date":"2024-03-27","arxiv_id":"2403.18725","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-general-and-efficient-federated-split","title":"Heterogeneous Federated Learning with Splited Language Model","date":"2024-03-24","arxiv_id":"2403.16050","repositories_listed":0,"syntology":null},{"url":null,"slug":"text-clustering-with-llm-embeddings","title":"Text Clustering with Large Language Model Embeddings","date":"2024-03-22","arxiv_id":"2403.15112","repositories_listed":0,"syntology":null},{"url":null,"slug":"decentralized-federated-learning-model-update","title":"FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis","date":"2024-03-20","arxiv_id":"2403.13247","repositories_listed":0,"syntology":null},{"url":null,"slug":"effective-model-of-protein-mediated","title":"Effective model of protein--mediated interactions in chromatin","date":"2024-03-20","arxiv_id":"2403.13569","repositories_listed":0,"syntology":null},{"url":null,"slug":"hyacinth6b-a-large-language-model-for","title":"Hyacinth6B: A large language model for Traditional Chinese","date":"2024-03-20","arxiv_id":"2403.13334","repositories_listed":0,"syntology":null},{"url":null,"slug":"animatediff-lightning-cross-model-diffusion","title":"AnimateDiff-Lightning: Cross-Model Diffusion Distillation","date":"2024-03-19","arxiv_id":"2403.12706","repositories_listed":0,"syntology":null},{"url":null,"slug":"clustered-mallows-model","title":"Clustered Mallows Model","date":"2024-03-19","arxiv_id":"2403.12880","repositories_listed":0,"syntology":null},{"url":null,"slug":"compound-expression-recognition-via-multi","title":"Compound Expression Recognition via Multi Model Ensemble","date":"2024-03-19","arxiv_id":"2403.12572","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertainty-calibrated-test-time-model","title":"Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting","date":"2024-03-18","arxiv_id":"2403.11491","repositories_listed":0,"syntology":null},{"url":null,"slug":"staindiffuser-multitask-dual-diffusion-model","title":"StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining","date":"2024-03-17","arxiv_id":"2403.11340","repositories_listed":0,"syntology":null},{"url":null,"slug":"spherediffusion-spherical-geometry-aware","title":"SphereDiffusion: Spherical Geometry-Aware Distortion Resilient Diffusion Model","date":"2024-03-15","arxiv_id":"2403.10044","repositories_listed":0,"syntology":null}],"record_sha256":"262f3eba93209080d5f1614eb43df31eb82f0334cc15fe8ed55736089742b829","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}