{"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":"/method/base/papers/37","list_of":"/method/base","method":"BASE","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":37,"pages_in_order":58,"rows_per_page":100,"rows":[3601,3700],"of":5784,"counts":{"archive_papers_tagged":5784,"with_a_code_link":1913,"where_syntology_ran_a_sample":621,"not_listed_spam_title":0,"listed":5784,"listed_where_code_ran":621,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":523,"every_run_a_failure_of_syntologys_instrument":98,"listed_with_a_run_with_no_instrument_failure":523,"listed_every_run_a_failure_of_syntologys_instrument":98,"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":"/method/base","prev":"/method/base/papers/36","next":"/method/base/papers/38","papers":[{"paper":null,"slug":"have-net-hallucinated-audio-visual-embeddings","title":"HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues","date":"2023-09-23","arxiv_id":"2309.13470","n_code_links":0,"syntology":null},{"paper":null,"slug":"construction-contract-risk-identification","title":"Construction contract risk identification based on knowledge-augmented language model","date":"2023-09-22","arxiv_id":"2309.12626","n_code_links":0,"syntology":null},{"paper":"/paper/detect-every-thing-with-few-examples","slug":"detect-every-thing-with-few-examples","title":"Detect Everything with Few Examples","date":"2023-09-22","arxiv_id":"2309.12969","n_code_links":1,"syntology":{"ran":17,"of":20,"n_ran_checked":17,"n_instrument":0,"unverified":3,"pointer_only":1,"phrase":"17 ran (of which 0 constructed an object rather than computing a result; 17 with no instrument failure: 0 honoured, 0 violated, 17 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["mlzxy/devit"],"state":"official (archive's flag): 17 ran","n_ran":17,"n_constructed":0,"n_ran_no_instrument_failure":17,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/drg-llama-tuning-llama-model-to-predict","slug":"drg-llama-tuning-llama-model-to-predict","title":"DRG-LLaMA : Tuning LLaMA Model to Predict Diagnosis-related Group for Hospitalized Patients","date":"2023-09-22","arxiv_id":"2309.12625","n_code_links":1,"syntology":null},{"paper":null,"slug":"base-probably-a-better-approach-to-multi","title":"BASE: Probably a Better Approach to Multi-Object Tracking","date":"2023-09-21","arxiv_id":"2309.12035","n_code_links":0,"syntology":null},{"paper":null,"slug":"cookie-consent-has-disparate-impact-on","title":"Cookie Consent Has Disparate Impact on Estimation Accuracy","date":"2023-09-21","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"customizable-image-synthesis-with-multiple","title":"Customizable Image Synthesis with Multiple Subjects","date":"2023-09-21","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/evaluating-robustness-and-uncertainty-of","slug":"evaluating-robustness-and-uncertainty-of","title":"Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts","date":"2023-09-21","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"knowledge-base-aware-semantic-communication","title":"Knowledge Base Aware Semantic Communication in Vehicular Networks","date":"2023-09-21","arxiv_id":"2309.12461","n_code_links":0,"syntology":null},{"paper":"/paper/making-scalable-meta-learning-practical","slug":"making-scalable-meta-learning-practical","title":"Making Scalable Meta Learning Practical","date":"2023-09-21","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"multi-passive-active-irs-enhanced-wireless","title":"Multi-Passive/Active-IRS Enhanced Wireless Coverage: Deployment Optimization and Cost-Performance Trade-off","date":"2023-09-21","arxiv_id":"2309.11918","n_code_links":0,"syntology":null},{"paper":null,"slug":"robust-energy-consumption-prediction-with-a","title":"Robust Energy Consumption Prediction with a Missing Value-Resilient Metaheuristic-based Neural Network in Mobile App Development","date":"2023-09-21","arxiv_id":"2309.12484","n_code_links":0,"syntology":null},{"paper":null,"slug":"squared-neural-families-a-new-class-of","title":"Squared Neural Families: A New Class of Tractable Density Models","date":"2023-09-21","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"synthetic-to-real-pose-estimation-with","title":"Synthetic-to-Real Pose Estimation with Geometric Reconstruction","date":"2023-09-21","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/transformers-as-statisticians-provable-in","slug":"transformers-as-statisticians-provable-in","title":"Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection","date":"2023-09-21","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"understanding-and-improving-ensemble","title":"Understanding and Improving Ensemble Adversarial Defense","date":"2023-09-21","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"unit-a-unified-look-at-certified-robust","title":"UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation","date":"2023-09-21","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/variational-monte-carlo-on-a-budget-fine-1","slug":"variational-monte-carlo-on-a-budget-fine-1","title":"Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions","date":"2023-09-21","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/generalized-few-shot-point-cloud-segmentation","slug":"generalized-few-shot-point-cloud-segmentation","title":"Generalized Few-Shot Point Cloud Segmentation Via Geometric Words","date":"2023-09-20","arxiv_id":"2309.11222","n_code_links":1,"syntology":{"ran":7,"of":8,"n_ran_checked":5,"n_instrument":2,"unverified":1,"pointer_only":0,"phrase":"7 ran (of which 5 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["Pixie8888/GFS-3DSeg_GWs"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":5,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"hand-gesture-recognition-with-two-stage","title":"Hand Gesture Recognition with Two Stage Approach Using Transfer Learning and Deep Ensemble Learning","date":"2023-09-20","arxiv_id":"2309.11610","n_code_links":0,"syntology":null},{"paper":null,"slug":"lightning-fast-dual-layer-lossless-coding-for","title":"Lightning-Fast Dual-Layer Lossless Coding for Radiance Format High Dynamic Range Images","date":"2023-09-20","arxiv_id":"2309.11072","n_code_links":0,"syntology":null},{"paper":"/paper/openchat-advancing-open-source-language","slug":"openchat-advancing-open-source-language","title":"OpenChat: Advancing Open-source Language Models with Mixed-Quality Data","date":"2023-09-20","arxiv_id":"2309.11235","n_code_links":1,"syntology":{"ran":0,"of":1,"n_ran_checked":0,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"0 ran · 1 unverified","official":{"repos":["imoneoi/openchat"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":null,"slug":"retrieving-supporting-evidence-for-generative","title":"Retrieving Supporting Evidence for Generative Question Answering","date":"2023-09-20","arxiv_id":"2309.11392","n_code_links":0,"syntology":null},{"paper":"/paper/dcpt-darkness-clue-prompted-tracking-in","slug":"dcpt-darkness-clue-prompted-tracking-in","title":"DCPT: Darkness Clue-Prompted Tracking in Nighttime UAVs","date":"2023-09-19","arxiv_id":"2309.10491","n_code_links":1,"syntology":null},{"paper":"/paper/few-shot-object-detection-in-remote-sensing","slug":"few-shot-object-detection-in-remote-sensing","title":"Few-shot Object Detection in Remote Sensing: Lifting the Curse of Incompletely Annotated Novel Objects","date":"2023-09-19","arxiv_id":"2309.10588","n_code_links":1,"syntology":null},{"paper":null,"slug":"hybrid-state-space-based-learning-for","title":"Hybrid State Space-based Learning for Sequential Data Prediction with Joint Optimization","date":"2023-09-19","arxiv_id":"2309.10553","n_code_links":0,"syntology":null},{"paper":null,"slug":"mbr-and-qe-finetuning-training-time","title":"MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods","date":"2023-09-19","arxiv_id":"2309.10966","n_code_links":0,"syntology":null},{"paper":"/paper/towards-energy-aware-federated-traffic","slug":"towards-energy-aware-federated-traffic","title":"Towards Energy-Aware Federated Traffic Prediction for Cellular Networks","date":"2023-09-19","arxiv_id":"2309.10645","n_code_links":1,"syntology":null},{"paper":null,"slug":"energy-management-of-hydrogen-hybrid-electric","title":"Energy Management of Hydrogen Hybrid Electric Vehicles -- A Potential Study","date":"2023-09-18","arxiv_id":"2309.09804","n_code_links":0,"syntology":null},{"paper":null,"slug":"cramer-rao-bound-optimization-for-active-ris","title":"Cramer-Rao Bound Optimization for Active RIS-Empowered ISAC Systems","date":"2023-09-17","arxiv_id":"2309.09207","n_code_links":0,"syntology":null},{"paper":null,"slug":"fairness-for-all-investigating-harms-to","title":"Fairness for All: Investigating Harms to Within-Group Individuals in Producer Fairness Re-ranking Optimization -- A Reproducibility Study","date":"2023-09-17","arxiv_id":"2309.09277","n_code_links":0,"syntology":null},{"paper":"/paper/examining-the-influence-of-varied-levels-of","slug":"examining-the-influence-of-varied-levels-of","title":"Examining the Influence of Varied Levels of Domain Knowledge Base Inclusion in GPT-based Intelligent Tutors","date":"2023-09-16","arxiv_id":"2309.12367","n_code_links":1,"syntology":null},{"paper":"/paper/data-distribution-bottlenecks-in-grounding","slug":"data-distribution-bottlenecks-in-grounding","title":"Data Distribution Bottlenecks in Grounding Language Models to Knowledge Bases","date":"2023-09-15","arxiv_id":"2309.08345","n_code_links":1,"syntology":null},{"paper":null,"slug":"ecea-extensible-co-existing-attention-for-few","title":"ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection","date":"2023-09-15","arxiv_id":"2309.08196","n_code_links":0,"syntology":null},{"paper":null,"slug":"intent-detection-at-scale-tuning-a-generic","title":"Intent Detection at Scale: Tuning a Generic Model using Relevant Intents","date":"2023-09-15","arxiv_id":"2309.08647","n_code_links":0,"syntology":null},{"paper":"/paper/learning-by-self-explaining","slug":"learning-by-self-explaining","title":"Learning by Self-Explaining","date":"2023-09-15","arxiv_id":"2309.08395","n_code_links":1,"syntology":{"ran":6,"of":8,"n_ran_checked":6,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["ml-research/learning-by-self-explaining"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/pointing-the-way-refining-radar-lidar","slug":"pointing-the-way-refining-radar-lidar","title":"Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights","date":"2023-09-15","arxiv_id":"2309.08731","n_code_links":2,"syntology":null},{"paper":"/paper/using-large-language-models-for-knowledge","slug":"using-large-language-models-for-knowledge","title":"Using Large Language Models for Knowledge Engineering (LLMKE): A Case Study on Wikidata","date":"2023-09-15","arxiv_id":"2309.08491","n_code_links":1,"syntology":null},{"paper":null,"slug":"bea-revisiting-anchor-based-object-detection","title":"BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture","date":"2023-09-14","arxiv_id":"2309.08036","n_code_links":0,"syntology":null},{"paper":null,"slug":"codec-data-augmentation-for-time-domain-heart","title":"Codec Data Augmentation for Time-domain Heart Sound Classification","date":"2023-09-14","arxiv_id":"2309.07466","n_code_links":0,"syntology":null},{"paper":"/paper/dept-decoupled-prompt-tuning","slug":"dept-decoupled-prompt-tuning","title":"DePT: Decoupled Prompt Tuning","date":"2023-09-14","arxiv_id":"2309.07439","n_code_links":1,"syntology":{"ran":4,"of":8,"n_ran_checked":1,"n_instrument":3,"unverified":4,"pointer_only":8,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified","official":{"repos":["koorye/dept"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"for-a-more-comprehensive-evaluation-of-6dof","title":"For A More Comprehensive Evaluation of 6DoF Object Pose Tracking","date":"2023-09-14","arxiv_id":"2309.07796","n_code_links":0,"syntology":null},{"paper":"/paper/pre-vision-language-prompt-learning-with","slug":"pre-vision-language-prompt-learning-with","title":"PRE: Vision-Language Prompt Learning with Reparameterization Encoder","date":"2023-09-14","arxiv_id":"2309.07760","n_code_links":2,"syntology":null},{"paper":null,"slug":"stochastic-phased-array-performance","title":"Stochastic Phased Array Performance Indicators for Quality-of-Service-Enhanced Massive MIMO","date":"2023-09-14","arxiv_id":"2309.07740","n_code_links":0,"syntology":null},{"paper":null,"slug":"what-matters-to-enhance-traffic-rule","title":"What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous Driving","date":"2023-09-14","arxiv_id":"2309.07808","n_code_links":0,"syntology":null},{"paper":null,"slug":"improving-the-performance-of-r17-type-ii","title":"Improving the Performance of R17 Type-II Codebook with Deep Learning","date":"2023-09-13","arxiv_id":"2310.05962","n_code_links":0,"syntology":null},{"paper":null,"slug":"on-the-terminal-location-uncertainty-in","title":"On the Terminal Location Uncertainty in Elliptical Footprints: Application in Air-to-Ground Links","date":"2023-09-13","arxiv_id":"2309.07299","n_code_links":0,"syntology":null},{"paper":null,"slug":"2309-06089","title":"Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies","date":"2023-09-12","arxiv_id":"2309.06089","n_code_links":0,"syntology":null},{"paper":null,"slug":"2309-06175","title":"AKEM: Aligning Knowledge Base to Queries with Ensemble Model for Entity Recognition and Linking","date":"2023-09-12","arxiv_id":"2309.06175","n_code_links":0,"syntology":null},{"paper":null,"slug":"base-station-beamforming-design-for-near","title":"Base Station Beamforming Design for Near-field XL-IRS Beam Training","date":"2023-09-12","arxiv_id":"2309.06259","n_code_links":0,"syntology":null},{"paper":null,"slug":"emergent-communication-in-multi-agent","title":"Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks","date":"2023-09-12","arxiv_id":"2309.06021","n_code_links":0,"syntology":null},{"paper":null,"slug":"style2fab-functionality-aware-segmentation","title":"Style2Fab: Functionality-Aware Segmentation for Fabricating Personalized 3D Models with Generative AI","date":"2023-09-12","arxiv_id":"2309.06379","n_code_links":0,"syntology":null},{"paper":"/paper/comprehensive-analysis-of-synthetic-learning","slug":"comprehensive-analysis-of-synthetic-learning","title":"Comprehensive analysis of synthetic learning applied to neonatal brain MRI segmentation","date":"2023-09-11","arxiv_id":"2309.05306","n_code_links":1,"syntology":null},{"paper":"/paper/does-writing-with-language-models-reduce","slug":"does-writing-with-language-models-reduce","title":"Does Writing with Language Models Reduce Content Diversity?","date":"2023-09-11","arxiv_id":"2309.05196","n_code_links":1,"syntology":{"ran":2,"of":3,"n_ran_checked":0,"n_instrument":2,"unverified":1,"pointer_only":3,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["vishakhpk/hai-diversity"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"understanding-the-impact-of-post-training","title":"Understanding the Impact of Post-Training Quantization on Large Language Models","date":"2023-09-11","arxiv_id":"2309.05210","n_code_links":0,"syntology":null},{"paper":null,"slug":"data-fusion-based-predictive-beamforming-for","title":"Fusing Channel and Sensor Measurements for Enhancing Predictive Beamforming in UAV-Assisted Massive MIMO Communications","date":"2023-09-10","arxiv_id":"2309.04916","n_code_links":0,"syntology":null},{"paper":null,"slug":"decolonial-ai-alignment-visesadharma-argument","title":"Decolonial AI Alignment: Openness, Viśe\\d{s}a-Dharma, and Including Excluded Knowledges","date":"2023-09-10","arxiv_id":"2309.05030","n_code_links":0,"syntology":null},{"paper":"/paper/nonlinear-granger-causality-using-kernel","slug":"nonlinear-granger-causality-using-kernel","title":"Nonlinear Granger Causality using Kernel Ridge Regression","date":"2023-09-10","arxiv_id":"2309.05107","n_code_links":1,"syntology":null},{"paper":null,"slug":"strategic-deployment-of-swarm-of-uavs-for","title":"Strategic Deployment of Swarm of UAVs for Secure IoT Networks","date":"2023-09-10","arxiv_id":"2309.05104","n_code_links":0,"syntology":null},{"paper":null,"slug":"memory-enhanced-dynamic-evolutionary-control","title":"Memory-Enhanced Dynamic Evolutionary Control of Reconfigurable Intelligent Surfaces","date":"2023-09-08","arxiv_id":"2309.04353","n_code_links":0,"syntology":null},{"paper":null,"slug":"proprioceptive-external-torque-learning-for","title":"Proprioceptive External Torque Learning for Floating Base Robot and its Applications to Humanoid Locomotion","date":"2023-09-08","arxiv_id":"2309.04138","n_code_links":0,"syntology":null},{"paper":null,"slug":"variations-and-relaxations-of-normalizing","title":"Variations and Relaxations of Normalizing Flows","date":"2023-09-08","arxiv_id":"2309.04433","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-reinforcement-learning-enabled-joint","title":"Deep Reinforcement Learning Enabled Joint Deployment and Beamforming in STAR-RIS Assisted Networks","date":"2023-09-07","arxiv_id":"2309.03520","n_code_links":0,"syntology":null},{"paper":"/paper/from-base-to-conversational-japanese","slug":"from-base-to-conversational-japanese","title":"From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models","date":"2023-09-07","arxiv_id":"2309.03412","n_code_links":1,"syntology":null},{"paper":"/paper/privacy-preserving-continual-federated","slug":"privacy-preserving-continual-federated","title":"Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory","date":"2023-09-07","arxiv_id":"2309.03487","n_code_links":1,"syntology":null},{"paper":null,"slug":"detecting-manufacturing-defects-in-pcbs-via","title":"Detecting Manufacturing Defects in PCBs via Data-Centric Machine Learning on Solder Paste Inspection Features","date":"2023-09-06","arxiv_id":"2309.03113","n_code_links":0,"syntology":null},{"paper":null,"slug":"image-object-specific-prompt-learning-for-few","title":"Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning","date":"2023-09-06","arxiv_id":"2309.02833","n_code_links":0,"syntology":null},{"paper":"/paper/introducing-thermodynamics-informed-symbolic","slug":"introducing-thermodynamics-informed-symbolic","title":"Introducing Thermodynamics-Informed Symbolic Regression -- A Tool for Thermodynamic Equations of State Development","date":"2023-09-06","arxiv_id":"2309.02805","n_code_links":1,"syntology":null},{"paper":"/paper/large-language-models-for-automated-open","slug":"large-language-models-for-automated-open","title":"Large Language Models for Automated Open-domain Scientific Hypotheses Discovery","date":"2023-09-06","arxiv_id":"2309.02726","n_code_links":1,"syntology":{"ran":6,"of":11,"n_ran_checked":6,"n_instrument":0,"unverified":5,"pointer_only":11,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","official":{"repos":["zongliny/moose"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"mean-field-game-based-waveform-precoding","title":"Mean Field Game-based Waveform Precoding Design for Mobile Crowd Integrated Sensing, Communication, and Computation Systems","date":"2023-09-06","arxiv_id":"2309.02645","n_code_links":0,"syntology":null},{"paper":null,"slug":"music-algorithm-for-irs-assisted-aoa","title":"MUSIC Algorithm for IRS-Assisted AOA Estimation","date":"2023-09-06","arxiv_id":"2309.02947","n_code_links":0,"syntology":null},{"paper":null,"slug":"aniportraitgan-animatable-3d-portrait","title":"AniPortraitGAN: Animatable 3D Portrait Generation from 2D Image Collections","date":"2023-09-05","arxiv_id":"2309.02186","n_code_links":0,"syntology":null},{"paper":"/paper/augmenting-black-box-llms-with-medical","slug":"augmenting-black-box-llms-with-medical","title":"Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering (Published in Findings of EMNLP 2024)","date":"2023-09-05","arxiv_id":"2309.02233","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":3,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["TIGER-AI-Lab/LLM-AMT"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/distributionally-robust-machine-learning-with","slug":"distributionally-robust-machine-learning-with","title":"Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation","date":"2023-09-05","arxiv_id":"2309.02211","n_code_links":1,"syntology":null},{"paper":null,"slug":"adaptive-resource-allocation-for-virtualized","title":"Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning","date":"2023-09-04","arxiv_id":"2309.01730","n_code_links":0,"syntology":null},{"paper":null,"slug":"edadet-open-vocabulary-object-detection-using","title":"EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment","date":"2023-09-03","arxiv_id":"2309.01151","n_code_links":0,"syntology":null},{"paper":null,"slug":"large-ai-model-empowered-multimodal-semantic","title":"Large AI Model Empowered Multimodal Semantic Communications","date":"2023-09-03","arxiv_id":"2309.01249","n_code_links":0,"syntology":null},{"paper":"/paper/saturn-an-optimized-data-system-for-large","slug":"saturn-an-optimized-data-system-for-large","title":"Saturn: An Optimized Data System for Large Model Deep Learning Workloads","date":"2023-09-03","arxiv_id":"2309.01226","n_code_links":1,"syntology":null},{"paper":null,"slug":"approximating-fair-k-min-sum-radii-in-mathbb","title":"Approximating Fair $k$-Min-Sum-Radii in Euclidean Space","date":"2023-09-02","arxiv_id":"2309.00834","n_code_links":0,"syntology":null},{"paper":null,"slug":"bengali-document-layout-analysis-a-yolov8","title":"Bengali Document Layout Analysis -- A YOLOV8 Based Ensembling Approach","date":"2023-09-02","arxiv_id":"2309.00848","n_code_links":0,"syntology":null},{"paper":null,"slug":"robust-joint-active-passive-beamforming","title":"Robust Joint Active-Passive Beamforming Design for IRS-Assisted ISAC Systems","date":"2023-09-02","arxiv_id":"2309.00978","n_code_links":0,"syntology":null},{"paper":null,"slug":"waste-factor-a-new-metric-for-evaluating","title":"Waste Factor: A New Metric for Evaluating Power Efficiency in any Cascade","date":"2023-09-02","arxiv_id":"2309.01018","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-spatial-sigma-delta-approach-to-mitigation","title":"A Spatial Sigma-Delta Approach to Mitigation of Power Amplifier Distortions in Massive MIMO Downlink","date":"2023-09-01","arxiv_id":"2309.00289","n_code_links":0,"syntology":null},{"paper":null,"slug":"brca-gene-mutations-in-dbsnp-a-visual","title":"BRCA Gene Mutations in dbSNP: A Visual Exploration of Genetic Variants","date":"2023-09-01","arxiv_id":"2309.00311","n_code_links":0,"syntology":null},{"paper":"/paper/copiloting-the-copilots-fusing-large-language","slug":"copiloting-the-copilots-fusing-large-language","title":"Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair","date":"2023-09-01","arxiv_id":"2309.00608","n_code_links":1,"syntology":{"ran":7,"of":7,"n_ran_checked":7,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["ise-uiuc/Repilot"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/btseg-barlow-twins-regularization-for-domain","slug":"btseg-barlow-twins-regularization-for-domain","title":"BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic Segmentation","date":"2023-08-31","arxiv_id":"2308.16819","n_code_links":1,"syntology":null},{"paper":null,"slug":"learning-channel-importance-for-high-content","title":"Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing","date":"2023-08-31","arxiv_id":"2308.16637","n_code_links":0,"syntology":null},{"paper":null,"slug":"physics-based-trajectory-design-for-cellular","title":"Physics-Based Trajectory Design for Cellular-Connected UAV in Rainy Environments Based on Deep Reinforcement Learning","date":"2023-08-31","arxiv_id":"2309.00017","n_code_links":0,"syntology":null},{"paper":null,"slug":"typing-on-any-surface-a-deep-learning-based","title":"Typing on Any Surface: A Deep Learning-based Method for Real-Time Keystroke Detection in Augmented Reality","date":"2023-08-31","arxiv_id":"2309.00174","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-neural-enhanced-factor-graph-based","title":"A Neural-enhanced Factor Graph-based Algorithm for Robust Positioning in Obstructed LOS Situations","date":"2023-08-30","arxiv_id":"2308.15972","n_code_links":0,"syntology":null},{"paper":null,"slug":"catalog-phrase-grounding-cpg-grounding-of","title":"Catalog Phrase Grounding (CPG): Grounding of Product Textual Attributes in Product Images for e-commerce Vision-Language Applications","date":"2023-08-30","arxiv_id":"2308.16354","n_code_links":0,"syntology":null},{"paper":"/paper/can-transformers-learn-the-greatest-common","slug":"can-transformers-learn-the-greatest-common","title":"Learning the greatest common divisor: explaining transformer predictions","date":"2023-08-29","arxiv_id":"2308.15594","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":0,"n_instrument":1,"unverified":1,"pointer_only":2,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["facebookresearch/gcd"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/few-shot-object-detection-via-synthetic","slug":"few-shot-object-detection-via-synthetic","title":"Few-Shot Object Detection via Synthetic Features with Optimal Transport","date":"2023-08-29","arxiv_id":"2308.15005","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":1,"n_instrument":1,"unverified":0,"pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":"/paper/measurement-tampering-detection-benchmark","slug":"measurement-tampering-detection-benchmark","title":"Benchmarks for Detecting Measurement Tampering","date":"2023-08-29","arxiv_id":"2308.15605","n_code_links":1,"syntology":null},{"paper":null,"slug":"tasklama-probing-the-complex-task","title":"TaskLAMA: Probing the Complex Task Understanding of Language Models","date":"2023-08-29","arxiv_id":"2308.15299","n_code_links":0,"syntology":null},{"paper":null,"slug":"wrappingnet-mesh-autoencoder-via-deep-sphere","title":"WrappingNet: Mesh Autoencoder via Deep Sphere Deformation","date":"2023-08-29","arxiv_id":"2308.15413","n_code_links":0,"syntology":null},{"paper":"/paper/bridging-the-kb-text-gap-leveraging","slug":"bridging-the-kb-text-gap-leveraging","title":"Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA","date":"2023-08-28","arxiv_id":"2308.14436","n_code_links":1,"syntology":{"ran":10,"of":10,"n_ran_checked":10,"n_instrument":0,"unverified":0,"pointer_only":10,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["dongguanting/skp-for-kbqa"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"hybrid-pls-ml-authentication-scheme-for-v2i","title":"Hybrid PLS-ML Authentication Scheme for V2I Communication Networks","date":"2023-08-28","arxiv_id":"2308.14693","n_code_links":0,"syntology":null},{"paper":null,"slug":"label-free-deep-learning-driven-secure-access","title":"Label-free Deep Learning Driven Secure Access Selection in Space-Air-Ground Integrated Networks","date":"2023-08-28","arxiv_id":"2308.14348","n_code_links":0,"syntology":null},{"paper":null,"slug":"nsf-neural-surface-fields-for-human-modeling","title":"NSF: Neural Surface Fields for Human Modeling from Monocular Depth","date":"2023-08-28","arxiv_id":"2308.14847","n_code_links":0,"syntology":null}],"record_sha256":"39f3b3bbfa3be4a52496c462aef1a4a1dba5f2c19c31c1986a03a438cc44b216","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}