{"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/set/papers/49","list_of":"/method/set","method":"SET","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":49,"pages_in_order":135,"rows_per_page":100,"rows":[4801,4900],"of":13419,"counts":{"archive_papers_tagged":13419,"with_a_code_link":4158,"where_syntology_ran_a_sample":1186,"not_listed_spam_title":0,"listed":13419,"listed_where_code_ran":1186,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1038,"every_run_a_failure_of_syntologys_instrument":148,"listed_with_a_run_with_no_instrument_failure":1038,"listed_every_run_a_failure_of_syntologys_instrument":148,"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/set","prev":"/method/set/papers/48","next":"/method/set/papers/50","papers":[{"paper":null,"slug":"reliability-assessment-of-information-sources","title":"Reliability Assessment of Information Sources Based on Random Permutation Set","date":"2024-10-30","arxiv_id":"2410.22772","n_code_links":0,"syntology":null},{"paper":null,"slug":"retrieval-augmented-generation-with","title":"Retrieval-Augmented Generation with Estimation of Source Reliability","date":"2024-10-30","arxiv_id":"2410.22954","n_code_links":0,"syntology":null},{"paper":null,"slug":"strategic-communication-of-narratives","title":"Strategic communication of narratives","date":"2024-10-30","arxiv_id":"2410.23259","n_code_links":0,"syntology":null},{"paper":null,"slug":"teaching-a-language-model-to-distinguish","title":"Teaching a Language Model to Distinguish Between Similar Details using a Small Adversarial Training Set","date":"2024-10-30","arxiv_id":"2410.23118","n_code_links":0,"syntology":null},{"paper":null,"slug":"transfer-learning-in-vocal-education","title":"Transfer Learning in Vocal Education: Technical Evaluation of Limited Samples Describing Mezzo-soprano","date":"2024-10-30","arxiv_id":"2410.23325","n_code_links":0,"syntology":null},{"paper":null,"slug":"venire-a-machine-learning-guided-panel-review","title":"Venire: A Machine Learning-Guided Panel Review System for Community Content Moderation","date":"2024-10-30","arxiv_id":"2410.23448","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-bayesian-approach-to-harnessing-the-power","title":"A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution","date":"2024-10-29","arxiv_id":"2410.21716","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-method-for-constructing-wavelet-functions","title":"A Method for Constructing Wavelet Functions on the Real Number Field","date":"2024-10-29","arxiv_id":"2410.21697","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-methodology-for-gradual-semantics-for","title":"A Methodology for Incompleteness-Tolerant and Modular Gradual Semantics for Argumentative Statement Graphs","date":"2024-10-29","arxiv_id":"2410.22209","n_code_links":0,"syntology":null},{"paper":null,"slug":"cfsafety-comprehensive-fine-grained-safety","title":"CFSafety: Comprehensive Fine-grained Safety Assessment for LLMs","date":"2024-10-29","arxiv_id":"2410.21695","n_code_links":0,"syntology":null},{"paper":null,"slug":"class-aware-contrastive-optimization-for","title":"Class-Aware Contrastive Optimization for Imbalanced Text Classification","date":"2024-10-29","arxiv_id":"2410.22197","n_code_links":0,"syntology":null},{"paper":null,"slug":"dage-dag-query-answering-via-relational","title":"DAGE: DAG Query Answering via Relational Combinator with Logical Constraints","date":"2024-10-29","arxiv_id":"2410.22105","n_code_links":0,"syntology":null},{"paper":"/paper/data-generation-for-hardware-friendly-post","slug":"data-generation-for-hardware-friendly-post","title":"Data Generation for Hardware-Friendly Post-Training Quantization","date":"2024-10-29","arxiv_id":"2410.22110","n_code_links":1,"syntology":null},{"paper":null,"slug":"dynamath-a-dynamic-visual-benchmark-for","title":"DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models","date":"2024-10-29","arxiv_id":"2411.00836","n_code_links":0,"syntology":null},{"paper":null,"slug":"leveraging-reverberation-and-visual-depth","title":"Leveraging Reverberation and Visual Depth Cues for Sound Event Localization and Detection with Distance Estimation","date":"2024-10-29","arxiv_id":"2410.22271","n_code_links":0,"syntology":null},{"paper":null,"slug":"meta-learning-adaptable-foundation-models","title":"Meta-Learning Adaptable Foundation Models","date":"2024-10-29","arxiv_id":"2410.22264","n_code_links":0,"syntology":null},{"paper":null,"slug":"online-mirror-descent-for-tchebycheff","title":"Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization","date":"2024-10-29","arxiv_id":"2410.21764","n_code_links":0,"syntology":null},{"paper":"/paper/path-based-summary-explanations-for-graph","slug":"path-based-summary-explanations-for-graph","title":"Path-based summary explanations for graph recommenders (extended version)","date":"2024-10-29","arxiv_id":"2410.22020","n_code_links":1,"syntology":null},{"paper":null,"slug":"precise-and-dexterous-robotic-manipulation","title":"Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning","date":"2024-10-29","arxiv_id":"2410.21845","n_code_links":0,"syntology":null},{"paper":"/paper/promqa-question-answering-dataset-for","slug":"promqa-question-answering-dataset-for","title":"ProMQA: Question Answering Dataset for Multimodal Procedural Activity Understanding","date":"2024-10-29","arxiv_id":"2410.22211","n_code_links":1,"syntology":null},{"paper":null,"slug":"refined-risk-bounds-for-unbounded-losses-via","title":"Refined Risk Bounds for Unbounded Losses via Transductive Priors","date":"2024-10-29","arxiv_id":"2410.21621","n_code_links":0,"syntology":null},{"paper":"/paper/subgraph-aggregation-for-out-of-distribution","slug":"subgraph-aggregation-for-out-of-distribution","title":"Subgraph Aggregation for Out-of-Distribution Generalization on Graphs","date":"2024-10-29","arxiv_id":"2410.22228","n_code_links":1,"syntology":null},{"paper":null,"slug":"understanding-synthetic-context-extension-via","title":"Understanding Synthetic Context Extension via Retrieval Heads","date":"2024-10-29","arxiv_id":"2410.22316","n_code_links":0,"syntology":null},{"paper":null,"slug":"unlocking-point-processes-through-point-set","title":"Unlocking Point Processes through Point Set Diffusion","date":"2024-10-29","arxiv_id":"2410.22493","n_code_links":0,"syntology":null},{"paper":null,"slug":"vl-cache-sparsity-and-modality-aware-kv-cache","title":"VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration","date":"2024-10-29","arxiv_id":"2410.23317","n_code_links":0,"syntology":null},{"paper":"/paper/where-do-large-learning-rates-lead-us","slug":"where-do-large-learning-rates-lead-us","title":"Where Do Large Learning Rates Lead Us?","date":"2024-10-29","arxiv_id":"2410.22113","n_code_links":1,"syntology":{"ran":11,"of":16,"n_ran_checked":10,"n_instrument":1,"unverified":5,"pointer_only":1,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 1 honoured, 0 violated, 9 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified","official":{"repos":["isadrtdinov/understanding-large-lrs"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"ant-detective-an-automated-approach-for","title":"Ant Detective: An Automated Approach for Counting Ants in Densely Populated Images and Gaining Insight into Ant Foraging Behavior","date":"2024-10-28","arxiv_id":"2410.20638","n_code_links":0,"syntology":null},{"paper":"/paper/arithmetic-without-algorithms-language-models","slug":"arithmetic-without-algorithms-language-models","title":"Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics","date":"2024-10-28","arxiv_id":"2410.21272","n_code_links":1,"syntology":{"ran":4,"of":6,"n_ran_checked":4,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["technion-cs-nlp/llm-arithmetic-heuristics"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"ct2c-qa-multimodal-question-answering-over","title":"CT2C-QA: Multimodal Question Answering over Chinese Text, Table and Chart","date":"2024-10-28","arxiv_id":"2410.21414","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-recurrent-stochastic-configuration","title":"Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems","date":"2024-10-28","arxiv_id":"2410.20904","n_code_links":0,"syntology":null},{"paper":null,"slug":"emocpd-efficient-attention-based-models-for","title":"EMOCPD: Efficient Attention-based Models for Computational Protein Design Using Amino Acid Microenvironment","date":"2024-10-28","arxiv_id":"2410.21069","n_code_links":0,"syntology":null},{"paper":null,"slug":"graph-based-traffic-analysis-and-delay","title":"Graph Based Traffic Analysis and Delay Prediction","date":"2024-10-28","arxiv_id":"2410.21028","n_code_links":0,"syntology":null},{"paper":null,"slug":"graph-sparsification-for-enhanced-conformal","title":"Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks","date":"2024-10-28","arxiv_id":"2410.21618","n_code_links":0,"syntology":null},{"paper":null,"slug":"high-level-hybridization-of-heuristics-and","title":"High-level hybridization of heuristics and metaheuristics to solve symmetric TSP: a comparative study","date":"2024-10-28","arxiv_id":"2410.21274","n_code_links":0,"syntology":null},{"paper":null,"slug":"imagenet-rib-benchmark-large-pre-training","title":"ImageNet-RIB Benchmark: Large Pre-Training Datasets Don't Guarantee Robustness after Fine-Tuning","date":"2024-10-28","arxiv_id":"2410.21582","n_code_links":0,"syntology":null},{"paper":null,"slug":"injectivity-capacity-of-relu-gates","title":"Injectivity capacity of ReLU gates","date":"2024-10-28","arxiv_id":"2410.20646","n_code_links":0,"syntology":null},{"paper":"/paper/interpretable-image-classification-with-1","slug":"interpretable-image-classification-with-1","title":"Interpretable Image Classification with Adaptive Prototype-based Vision Transformers","date":"2024-10-28","arxiv_id":"2410.20722","n_code_links":1,"syntology":{"ran":6,"of":7,"n_ran_checked":6,"n_instrument":0,"unverified":1,"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) · 1 unverified","official":{"repos":["Henrymachiyu/ProtoViT"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/larp-tokenizing-videos-with-a-learned-1","slug":"larp-tokenizing-videos-with-a-learned-1","title":"LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior","date":"2024-10-28","arxiv_id":"2410.21264","n_code_links":1,"syntology":{"ran":11,"of":13,"n_ran_checked":8,"n_instrument":3,"unverified":2,"pointer_only":2,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 1 honoured, 0 violated, 7 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified","official":null}},{"paper":"/paper/long-tailed-out-of-distribution-detection-via","slug":"long-tailed-out-of-distribution-detection-via","title":"Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation","date":"2024-10-28","arxiv_id":"2410.20807","n_code_links":1,"syntology":null},{"paper":"/paper/modular-duality-in-deep-learning","slug":"modular-duality-in-deep-learning","title":"Modular Duality in Deep Learning","date":"2024-10-28","arxiv_id":"2410.21265","n_code_links":1,"syntology":{"ran":1,"of":4,"n_ran_checked":1,"n_instrument":0,"unverified":3,"pointer_only":0,"phrase":"1 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; 0 where Syntology's instrument failed) · 3 unverified","official":null}},{"paper":"/paper/neugpt-unified-multi-modal-neural-gpt","slug":"neugpt-unified-multi-modal-neural-gpt","title":"NeuGPT: Unified multi-modal Neural GPT","date":"2024-10-28","arxiv_id":"2410.20916","n_code_links":1,"syntology":null},{"paper":null,"slug":"optimal-sensor-placement-for-tdoa-based","title":"Optimal Sensor Placement for TDOA-Based Source Localization with Sensor Location Errors","date":"2024-10-28","arxiv_id":"2410.20703","n_code_links":0,"syntology":null},{"paper":null,"slug":"pepdora-a-unified-peptide-language-model-via","title":"PepDoRA: A Unified Peptide Language Model via Weight-Decomposed Low-Rank Adaptation","date":"2024-10-28","arxiv_id":"2410.20667","n_code_links":0,"syntology":null},{"paper":null,"slug":"quality-analysis-of-the-coding-bitrate","title":"Quality Analysis of the Coding Bitrate Tradeoff Between Geometry and Attributes for Colored Point Clouds","date":"2024-10-28","arxiv_id":"2410.21613","n_code_links":0,"syntology":null},{"paper":null,"slug":"quantum-computing-and-persistence-in","title":"Quantum computing and persistence in topological data analysis","date":"2024-10-28","arxiv_id":"2410.21258","n_code_links":0,"syntology":null},{"paper":null,"slug":"rate-region-of-ris-aided-urllc-broadcast","title":"Rate Region of RIS-Aided URLLC Broadcast Channels: Diagonal versus Beyond Diagonal Globally Passive RIS","date":"2024-10-28","arxiv_id":"2410.20827","n_code_links":0,"syntology":null},{"paper":"/paper/retrieval-retro-retrieval-based-inorganic","slug":"retrieval-retro-retrieval-based-inorganic","title":"Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge","date":"2024-10-28","arxiv_id":"2410.21341","n_code_links":1,"syntology":{"ran":9,"of":9,"n_ran_checked":9,"n_instrument":0,"unverified":0,"pointer_only":9,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["heewoongnoh/retrieval-retro"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"robust-segmentation-of-cpr-induced-capnogram","title":"Robust Segmentation of CPR-Induced Capnogram Using U-net: Overcoming Challenges with Deep Learning","date":"2024-10-28","arxiv_id":"2410.20899","n_code_links":0,"syntology":null},{"paper":null,"slug":"sabotage-evaluations-for-frontier-models","title":"Sabotage Evaluations for Frontier Models","date":"2024-10-28","arxiv_id":"2410.21514","n_code_links":0,"syntology":null},{"paper":"/paper/scier-an-entity-and-relation-extraction","slug":"scier-an-entity-and-relation-extraction","title":"SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents","date":"2024-10-28","arxiv_id":"2410.21155","n_code_links":1,"syntology":null},{"paper":null,"slug":"the-universal-pddl-domain","title":"The Universal PDDL Domain","date":"2024-10-28","arxiv_id":"2411.08040","n_code_links":0,"syntology":null},{"paper":"/paper/towards-unifying-evaluation-of-counterfactual","slug":"towards-unifying-evaluation-of-counterfactual","title":"Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments","date":"2024-10-28","arxiv_id":"2410.21131","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-successive-approximation-method-in","title":"A successive approximation method in functional spaces for hierarchical optimal control problems and its application to learning","date":"2024-10-27","arxiv_id":"2410.20617","n_code_links":0,"syntology":null},{"paper":null,"slug":"detection-of-adrenal-anomalous-findings-in","title":"Detection of adrenal anomalous findings in spinal CT images using multi model graph aggregation","date":"2024-10-27","arxiv_id":"2410.20568","n_code_links":0,"syntology":null},{"paper":null,"slug":"network-scaling-and-scale-driven-loss","title":"Network scaling and scale-driven loss balancing for intelligent poroelastography","date":"2024-10-27","arxiv_id":"2411.08886","n_code_links":0,"syntology":null},{"paper":"/paper/practical-bayesian-algorithm-execution-via","slug":"practical-bayesian-algorithm-execution-via","title":"Practical Bayesian Algorithm Execution via Posterior Sampling","date":"2024-10-27","arxiv_id":"2410.20596","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":["RaulAstudillo06/PSBAX"],"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":null,"slug":"rethinking-data-synthesis-a-teacher-model","title":"Rethinking Data Synthesis: A Teacher Model Training Recipe with Interpretation","date":"2024-10-27","arxiv_id":"2410.20362","n_code_links":0,"syntology":null},{"paper":"/paper/sequential-large-language-model-based-hyper","slug":"sequential-large-language-model-based-hyper","title":"Sequential Large Language Model-Based Hyper-parameter Optimization","date":"2024-10-27","arxiv_id":"2410.20302","n_code_links":1,"syntology":null},{"paper":"/paper/vector-quantization-prompting-for-continual","slug":"vector-quantization-prompting-for-continual","title":"Vector Quantization Prompting for Continual Learning","date":"2024-10-27","arxiv_id":"2410.20444","n_code_links":1,"syntology":{"ran":7,"of":15,"n_ran_checked":5,"n_instrument":2,"unverified":8,"pointer_only":1,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 0 violated, 4 with no contract checked; 2 where Syntology's instrument failed) · 8 unverified","official":{"repos":["jiaolifengmi/vq-prompt"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":8,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"windtunnel-a-framework-for-community-aware","title":"WindTunnel -- A Framework for Community Aware Sampling of Large Corpora","date":"2024-10-27","arxiv_id":"2410.20301","n_code_links":0,"syntology":null},{"paper":null,"slug":"annotation-efficiency-identifying-hard","title":"Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits","date":"2024-10-26","arxiv_id":"2410.20041","n_code_links":0,"syntology":null},{"paper":"/paper/centaur-a-foundation-model-of-human-cognition","slug":"centaur-a-foundation-model-of-human-cognition","title":"Centaur: a foundation model of human cognition","date":"2024-10-26","arxiv_id":"2410.20268","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":3,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"4 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; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["marcelbinz/Llama-3.1-Centaur-70B"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"deepmide-a-multivariate-spatio-temporal","title":"DeepMIDE: A Multivariate Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting","date":"2024-10-26","arxiv_id":"2410.20166","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploring-welfare-maximization-and-fairness","title":"Exploring Welfare Maximization and Fairness in Participatory Budgeting","date":"2024-10-26","arxiv_id":"2410.20143","n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-approximated-maximal-safe-sets-via","title":"Learning Maximal Safe Sets Using Hypernetworks for MPC-based Local Trajectory Planning in Unknown Environments","date":"2024-10-26","arxiv_id":"2410.20267","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-irs-enhanced-wireless-coverage","title":"Multi-IRS Enhanced Wireless Coverage: Deployment Optimization Based on Large-Scale Channel Knowledge","date":"2024-10-26","arxiv_id":"2410.20042","n_code_links":0,"syntology":null},{"paper":null,"slug":"overcoming-the-sim-to-real-gap-leveraging","title":"Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL","date":"2024-10-26","arxiv_id":"2410.20254","n_code_links":0,"syntology":null},{"paper":null,"slug":"revisiting-playerank","title":"Revisiting PlayeRank","date":"2024-10-26","arxiv_id":"2410.20038","n_code_links":0,"syntology":null},{"paper":"/paper/sample-efficient-bayesian-learning-of-causal","slug":"sample-efficient-bayesian-learning-of-causal","title":"Sample Efficient Bayesian Learning of Causal Graphs from Interventions","date":"2024-10-26","arxiv_id":"2410.20089","n_code_links":1,"syntology":{"ran":12,"of":15,"n_ran_checked":11,"n_instrument":1,"unverified":3,"pointer_only":15,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 1 honoured, 0 violated, 10 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified","official":{"repos":["CausalML-Lab/Bayesian_SampleEfficient_Discovery"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"scube-instant-large-scale-scene","title":"SCube: Instant Large-Scale Scene Reconstruction using VoxSplats","date":"2024-10-26","arxiv_id":"2410.20030","n_code_links":0,"syntology":null},{"paper":null,"slug":"the-inexact-power-augmented-lagrangian-method","title":"The inexact power augmented Lagrangian method for constrained nonconvex optimization","date":"2024-10-26","arxiv_id":"2410.20153","n_code_links":0,"syntology":null},{"paper":null,"slug":"adversarial-environment-design-via-regret","title":"Adversarial Environment Design via Regret-Guided Diffusion Models","date":"2024-10-25","arxiv_id":"2410.19715","n_code_links":0,"syntology":null},{"paper":"/paper/agentforge-a-flexible-low-code-platform-for","slug":"agentforge-a-flexible-low-code-platform-for","title":"AgentForge: A Flexible Low-Code Platform for Reinforcement Learning Agent Design","date":"2024-10-25","arxiv_id":"2410.19528","n_code_links":1,"syntology":null},{"paper":null,"slug":"analyzing-generative-models-by-manifold","title":"Analyzing Generative Models by Manifold Entropic Metrics","date":"2024-10-25","arxiv_id":"2410.19426","n_code_links":0,"syntology":null},{"paper":"/paper/arxivdigestables-synthesizing-scientific","slug":"arxivdigestables-synthesizing-scientific","title":"ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models","date":"2024-10-25","arxiv_id":"2410.22360","n_code_links":1,"syntology":null},{"paper":"/paper/bongard-in-wonderland-visual-puzzles-that","slug":"bongard-in-wonderland-visual-puzzles-that","title":"Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?","date":"2024-10-25","arxiv_id":"2410.19546","n_code_links":1,"syntology":{"ran":7,"of":9,"n_ran_checked":7,"n_instrument":0,"unverified":2,"pointer_only":9,"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) · 2 unverified","official":{"repos":["ml-research/bongard-in-wonderland"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"cobblestone-iterative-automation-for-formal","title":"Cobblestone: Iterative Automation for Formal Verification","date":"2024-10-25","arxiv_id":"2410.19940","n_code_links":0,"syntology":null},{"paper":null,"slug":"duality-of-stochastic-observability-and","title":"Duality of Stochastic Observability and Constructability and Links to Fisher Information","date":"2024-10-25","arxiv_id":"2410.19975","n_code_links":0,"syntology":null},{"paper":null,"slug":"efficient-biological-data-acquisition-through","title":"Efficient Biological Data Acquisition through Inference Set Design","date":"2024-10-25","arxiv_id":"2410.19631","n_code_links":0,"syntology":null},{"paper":null,"slug":"evaluation-of-strategies-for-efficient-rate","title":"Evaluation of strategies for efficient rate-distortion NeRF streaming","date":"2024-10-25","arxiv_id":"2410.19459","n_code_links":0,"syntology":null},{"paper":null,"slug":"febim-efficient-and-compact-bayesian","title":"FeBiM: Efficient and Compact Bayesian Inference Engine Empowered with Ferroelectric In-Memory Computing","date":"2024-10-25","arxiv_id":"2410.19356","n_code_links":0,"syntology":null},{"paper":null,"slug":"frozen-detr-enhancing-detr-with-image","title":"Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models","date":"2024-10-25","arxiv_id":"2410.19635","n_code_links":0,"syntology":null},{"paper":null,"slug":"hybrid-memetic-search-for-electric-vehicle","title":"Hybrid Memetic Search for Electric Vehicle Routing with Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges","date":"2024-10-25","arxiv_id":"2410.19580","n_code_links":0,"syntology":null},{"paper":null,"slug":"investigating-the-role-of-prompting-and","title":"Investigating the Role of Prompting and External Tools in Hallucination Rates of Large Language Models","date":"2024-10-25","arxiv_id":"2410.19385","n_code_links":0,"syntology":null},{"paper":"/paper/larctan-skan-simple-and-efficient-single","slug":"larctan-skan-simple-and-efficient-single","title":"LArctan-SKAN: Simple and Efficient Single-Parameterized Kolmogorov-Arnold Networks using Learnable Trigonometric Function","date":"2024-10-25","arxiv_id":"2410.19360","n_code_links":1,"syntology":null},{"paper":null,"slug":"layer-by-layer-uncovering-where-multi-task","title":"Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models","date":"2024-10-25","arxiv_id":"2410.20008","n_code_links":0,"syntology":null},{"paper":"/paper/learning-the-regularization-strength-for-deep","slug":"learning-the-regularization-strength-for-deep","title":"Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective","date":"2024-10-25","arxiv_id":"2410.19675","n_code_links":1,"syntology":null},{"paper":null,"slug":"measuring-memorization-through-probabilistic","title":"Measuring memorization through probabilistic discoverable extraction","date":"2024-10-25","arxiv_id":"2410.19482","n_code_links":0,"syntology":null},{"paper":"/paper/multi-class-abnormality-classification-task","slug":"multi-class-abnormality-classification-task","title":"Multi-Class Abnormality Classification Task in Video Capsule Endoscopy","date":"2024-10-25","arxiv_id":"2410.19973","n_code_links":1,"syntology":null},{"paper":"/paper/multi-view-biomedical-foundation-models-for","slug":"multi-view-biomedical-foundation-models-for","title":"Multi-view biomedical foundation models for molecule-target and property prediction","date":"2024-10-25","arxiv_id":"2410.19704","n_code_links":1,"syntology":{"ran":5,"of":7,"n_ran_checked":5,"n_instrument":0,"unverified":2,"pointer_only":1,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["BiomedSciAI/biomed-multi-view"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"non-dominated-sorting-bidirectional","title":"Non-Dominated Sorting Bidirectional Differential Coevolution","date":"2024-10-25","arxiv_id":"2410.19439","n_code_links":0,"syntology":null},{"paper":null,"slug":"peter-parker-or-spiderman-disambiguating","title":"Peter Parker or Spiderman? Disambiguating Multiple Class Labels","date":"2024-10-25","arxiv_id":"2410.19479","n_code_links":0,"syntology":null},{"paper":"/paper/prompting-continual-person-search","slug":"prompting-continual-person-search","title":"Prompting Continual Person Search","date":"2024-10-25","arxiv_id":"2410.19239","n_code_links":1,"syntology":null},{"paper":null,"slug":"resolving-domain-shift-for-representations-of","title":"Resolving Domain Shift For Representations Of Speech In Non-Invasive Brain Recordings","date":"2024-10-25","arxiv_id":"2410.19986","n_code_links":0,"syntology":null},{"paper":null,"slug":"robot-behavior-personalization-from-sparse","title":"Robot Behavior Personalization from Sparse User Feedback","date":"2024-10-25","arxiv_id":"2410.19219","n_code_links":0,"syntology":null},{"paper":"/paper/tracking-and-triangulating-firefly-flashes-in","slug":"tracking-and-triangulating-firefly-flashes-in","title":"Tracking and triangulating firefly flashes in field recordings","date":"2024-10-25","arxiv_id":"2410.19932","n_code_links":1,"syntology":null},{"paper":null,"slug":"ubihr-resource-efficient-long-range-heart","title":"UbiHR: Resource-efficient Long-range Heart Rate Sensing on Ubiquitous Devices","date":"2024-10-25","arxiv_id":"2410.19279","n_code_links":0,"syntology":null},{"paper":null,"slug":"visioncoder-empowering-multi-agent-auto","title":"MaCTG: Multi-Agent Collaborative Thought Graph for Automatic Programming","date":"2024-10-25","arxiv_id":"2410.19245","n_code_links":0,"syntology":null},{"paper":"/paper/3d-shape-completion-with-test-time-training","slug":"3d-shape-completion-with-test-time-training","title":"3D Shape Completion with Test-Time Training","date":"2024-10-24","arxiv_id":"2410.18668","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-spectral-method-for-multi-view-subspace","title":"A spectral method for multi-view subspace learning using the product of projections","date":"2024-10-24","arxiv_id":"2410.19125","n_code_links":0,"syntology":null}],"record_sha256":"f1b19c48227f57e6b3b285f7aa9aa5190d3c698e35b955484747932c96ed7947","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}