{"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/aware/papers/2","list_of":"/method/aware","method":"AWARE","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":2,"pages_in_order":19,"rows_per_page":100,"rows":[101,200],"of":1883,"counts":{"archive_papers_tagged":1883,"with_a_code_link":618,"where_syntology_ran_a_sample":145,"not_listed_spam_title":0,"listed":1883,"listed_where_code_ran":145,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":121,"every_run_a_failure_of_syntologys_instrument":24,"listed_with_a_run_with_no_instrument_failure":121,"listed_every_run_a_failure_of_syntologys_instrument":24,"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/aware","prev":"/method/aware","next":"/method/aware/papers/3","papers":[{"paper":null,"slug":"precision-neural-network-quantization-via","title":"Precision Neural Network Quantization via Learnable Adaptive Modules","date":"2025-04-24","arxiv_id":"2504.17263","n_code_links":0,"syntology":null},{"paper":"/paper/a-diff-attention-aware-state-space-fusion","slug":"a-diff-attention-aware-state-space-fusion","title":"A Diff-Attention Aware State Space Fusion Model for Remote Sensing Classification","date":"2025-04-23","arxiv_id":"2504.16665","n_code_links":1,"syntology":null},{"paper":null,"slug":"pace-a-framework-for-learning-and-control-in","title":"PACE: A Framework for Learning and Control in Linear Incomplete-Information Differential Games","date":"2025-04-23","arxiv_id":"2504.17128","n_code_links":0,"syntology":null},{"paper":null,"slug":"transformers-for-complex-query-answering-over","title":"Transformers for Complex Query Answering over Knowledge Hypergraphs","date":"2025-04-23","arxiv_id":"2504.16537","n_code_links":0,"syntology":null},{"paper":null,"slug":"affordancesam-segment-anything-once-more-in","title":"AffordanceSAM: Segment Anything Once More in Affordance Grounding","date":"2025-04-22","arxiv_id":"2504.15650","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-cmos-probabilistic-computing-chip-with-in","title":"A CMOS Probabilistic Computing Chip With In-situ hardware Aware Learning","date":"2025-04-18","arxiv_id":"2504.14070","n_code_links":0,"syntology":null},{"paper":"/paper/smartfreeedit-mask-free-spatial-aware-image","slug":"smartfreeedit-mask-free-spatial-aware-image","title":"SmartFreeEdit: Mask-Free Spatial-Aware Image Editing with Complex Instruction Understanding","date":"2025-04-17","arxiv_id":"2504.12704","n_code_links":1,"syntology":null},{"paper":null,"slug":"salad-improving-robustness-and-generalization","title":"SALAD: Improving Robustness and Generalization through Contrastive Learning with Structure-Aware and LLM-Driven Augmented Data","date":"2025-04-16","arxiv_id":"2504.12185","n_code_links":0,"syntology":null},{"paper":null,"slug":"uncertainty-guided-coarse-to-fine-tumor","title":"Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing","date":"2025-04-16","arxiv_id":"2504.12215","n_code_links":0,"syntology":null},{"paper":null,"slug":"morphing-based-compression-for-data-centric","title":"Morphing-based Compression for Data-centric ML Pipelines","date":"2025-04-15","arxiv_id":"2504.11067","n_code_links":0,"syntology":null},{"paper":null,"slug":"position-uncertainty-in-a-prisoner-s-dilemma","title":"Position Uncertainty in a Prisoner's Dilemma Game : An Experiment","date":"2025-04-14","arxiv_id":"2504.10441","n_code_links":0,"syntology":null},{"paper":"/paper/rethinking-the-generalization-of-drug-target","slug":"rethinking-the-generalization-of-drug-target","title":"Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation","date":"2025-04-13","arxiv_id":"2504.09481","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":0,"n_instrument":3,"unverified":0,"pointer_only":3,"phrase":"3 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; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["amshoreline/sae"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"spatially-directional-dual-attention-gat-for","title":"Spatially Directional Dual-Attention GAT for Spatial Fluoride Health Risk Modeling","date":"2025-04-13","arxiv_id":"2504.09416","n_code_links":0,"syntology":null},{"paper":null,"slug":"fairace-achieving-degree-fairness-in-graph","title":"FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training","date":"2025-04-12","arxiv_id":"2504.09210","n_code_links":0,"syntology":null},{"paper":null,"slug":"elsa-a-style-aligned-dataset-for-emotionally","title":"ELSA: A Style Aligned Dataset for Emotionally Intelligent Language Generation","date":"2025-04-11","arxiv_id":"2504.08281","n_code_links":0,"syntology":null},{"paper":null,"slug":"spatial-audio-processing-with-large-language","title":"Spatial Audio Processing with Large Language Model on Wearable Devices","date":"2025-04-11","arxiv_id":"2504.08907","n_code_links":0,"syntology":null},{"paper":"/paper/defending-llm-watermarking-against-spoofing","slug":"defending-llm-watermarking-against-spoofing","title":"Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning","date":"2025-04-09","arxiv_id":"2504.06575","n_code_links":1,"syntology":null},{"paper":null,"slug":"fasr-net-unsupervised-shadow-removal","title":"FASR-Net: Unsupervised Shadow Removal Leveraging Inherent Frequency Priors","date":"2025-04-08","arxiv_id":"2504.05779","n_code_links":0,"syntology":null},{"paper":null,"slug":"efficient-mechanisms-under-unawareness","title":"Efficient Mechanisms under Unawareness","date":"2025-04-06","arxiv_id":"2504.04382","n_code_links":0,"syntology":null},{"paper":"/paper/loopgen-training-free-loopable-music","slug":"loopgen-training-free-loopable-music","title":"LoopGen: Training-Free Loopable Music Generation","date":"2025-04-06","arxiv_id":"2504.04466","n_code_links":1,"syntology":null},{"paper":"/paper/tgraphx-tensor-aware-graph-neural-network-for","slug":"tgraphx-tensor-aware-graph-neural-network-for","title":"TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning","date":"2025-04-04","arxiv_id":"2504.03953","n_code_links":1,"syntology":null},{"paper":null,"slug":"generate-the-browsing-process-for-short-video","title":"Generate the browsing process for short-video recommendation","date":"2025-04-02","arxiv_id":"2504.08771","n_code_links":0,"syntology":null},{"paper":null,"slug":"matching-unanticipated-experiences-divorce","title":"Matching, Unanticipated Experiences, Divorce, Flirting, Rematching, Etc","date":"2025-04-02","arxiv_id":"2504.01280","n_code_links":0,"syntology":null},{"paper":null,"slug":"finding-interest-needle-in-popularity","title":"Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item Exposure","date":"2025-03-31","arxiv_id":"2503.23630","n_code_links":0,"syntology":null},{"paper":"/paper/test-time-visual-in-context-tuning","slug":"test-time-visual-in-context-tuning","title":"Test-Time Visual In-Context Tuning","date":"2025-03-27","arxiv_id":"2503.21777","n_code_links":1,"syntology":null},{"paper":null,"slug":"feature4x-bridging-any-monocular-video-to-4d","title":"Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields","date":"2025-03-26","arxiv_id":"2503.20776","n_code_links":0,"syntology":null},{"paper":null,"slug":"mole-vla-dynamic-layer-skipping-vision","title":"MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation","date":"2025-03-26","arxiv_id":"2503.20384","n_code_links":0,"syntology":null},{"paper":null,"slug":"powergnn-a-topology-aware-graph-neural","title":"PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids","date":"2025-03-26","arxiv_id":"2503.22721","n_code_links":0,"syntology":null},{"paper":null,"slug":"two-for-the-price-of-one-integrating-large","title":"Two for the Price of One: Integrating Large Language Models to Learn Biophysical Interactions","date":"2025-03-26","arxiv_id":"2503.21017","n_code_links":0,"syntology":null},{"paper":null,"slug":"fine-grained-erasure-in-text-to-image","title":"Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models","date":"2025-03-25","arxiv_id":"2503.19783","n_code_links":0,"syntology":null},{"paper":"/paper/mist-efficient-distributed-training-of-large","slug":"mist-efficient-distributed-training-of-large","title":"Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization","date":"2025-03-24","arxiv_id":"2503.19050","n_code_links":1,"syntology":null},{"paper":"/paper/tensoflow-tensorial-flow-based-sampler-for","slug":"tensoflow-tensorial-flow-based-sampler-for","title":"TensoFlow: Tensorial Flow-based Sampler for Inverse Rendering","date":"2025-03-24","arxiv_id":"2503.18328","n_code_links":1,"syntology":null},{"paper":null,"slug":"an-ai-enabled-dual-hormone-model-predictive","title":"An AI-enabled dual-hormone model predictive control algorithm that delivers insulin and pramlintide","date":"2025-03-23","arxiv_id":"2503.17887","n_code_links":0,"syntology":null},{"paper":"/paper/debiasing-multimodal-large-language-models","slug":"debiasing-multimodal-large-language-models","title":"Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization","date":"2025-03-23","arxiv_id":"2503.17928","n_code_links":1,"syntology":{"ran":3,"of":6,"n_ran_checked":0,"n_instrument":3,"unverified":3,"pointer_only":6,"phrase":"3 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; 3 where Syntology's instrument failed) · 3 unverified","official":{"repos":["zhangzef/NaPO"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"sunar-semantic-uncertainty-based-neighborhood","title":"SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA","date":"2025-03-23","arxiv_id":"2503.17990","n_code_links":0,"syntology":null},{"paper":null,"slug":"analysis-of-human-visual-field-information","title":"Analysis of human visual field information using machine learning methods and assessment of their accuracy","date":"2025-03-18","arxiv_id":"2503.14562","n_code_links":0,"syntology":null},{"paper":null,"slug":"don-t-lie-to-your-friends-learning-what-you","title":"Don't lie to your friends: Learning what you know from collaborative self-play","date":"2025-03-18","arxiv_id":"2503.14481","n_code_links":0,"syntology":null},{"paper":null,"slug":"spacevllm-endowing-multimodal-large-language","title":"SpaceVLLM: Endowing Multimodal Large Language Model with Spatio-Temporal Video Grounding Capability","date":"2025-03-18","arxiv_id":"2503.13983","n_code_links":0,"syntology":null},{"paper":"/paper/vispeak-visual-instruction-feedback-in","slug":"vispeak-visual-instruction-feedback-in","title":"ViSpeak: Visual Instruction Feedback in Streaming Videos","date":"2025-03-17","arxiv_id":"2503.12769","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":1,"n_instrument":2,"unverified":1,"pointer_only":2,"phrase":"3 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; 2 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":null,"slug":"web-artifact-attacks-disrupt-vision-language","title":"Web Artifact Attacks Disrupt Vision Language Models","date":"2025-03-17","arxiv_id":"2503.13652","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-view-industrial-anomaly-detection-with","title":"Multi-View Industrial Anomaly Detection with Epipolar Constrained Cross-View Fusion","date":"2025-03-14","arxiv_id":"2503.11088","n_code_links":0,"syntology":null},{"paper":"/paper/multimodal-aware-fusion-network-for-referring","slug":"multimodal-aware-fusion-network-for-referring","title":"Multimodal-Aware Fusion Network for Referring Remote Sensing Image Segmentation","date":"2025-03-14","arxiv_id":"2503.11183","n_code_links":1,"syntology":null},{"paper":"/paper/rethinking-rotation-invariant-recognition-of","slug":"rethinking-rotation-invariant-recognition-of","title":"Rethinking Rotation-Invariant Recognition of Fine-grained Shapes from the Perspective of Contour Points","date":"2025-03-14","arxiv_id":"2503.10992","n_code_links":1,"syntology":null},{"paper":"/paper/fg-rag-enhancing-query-focused-summarization","slug":"fg-rag-enhancing-query-focused-summarization","title":"FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG","date":"2025-03-13","arxiv_id":"2504.07103","n_code_links":1,"syntology":null},{"paper":null,"slug":"tars-traffic-aware-radar-scene-flow","title":"TARS: Traffic-Aware Radar Scene Flow Estimation","date":"2025-03-13","arxiv_id":"2503.10210","n_code_links":0,"syntology":null},{"paper":null,"slug":"garmentpile-point-level-visual-affordance","title":"GarmentPile: Point-Level Visual Affordance Guided Retrieval and Adaptation for Cluttered Garments Manipulation","date":"2025-03-12","arxiv_id":"2503.09243","n_code_links":0,"syntology":null},{"paper":null,"slug":"gaspacho-gaussian-splatting-for-controllable","title":"GASPACHO: Gaussian Splatting for Controllable Humans and Objects","date":"2025-03-12","arxiv_id":"2503.09342","n_code_links":0,"syntology":null},{"paper":"/paper/minimal-time-series-transformer","slug":"minimal-time-series-transformer","title":"Minimal Time Series Transformer","date":"2025-03-12","arxiv_id":"2503.09791","n_code_links":1,"syntology":null},{"paper":null,"slug":"vi-lad-vision-language-attention-distillation","title":"Vi-LAD: Vision-Language Attention Distillation for Socially-Aware Robot Navigation in Dynamic Environments","date":"2025-03-12","arxiv_id":"2503.09820","n_code_links":0,"syntology":null},{"paper":null,"slug":"position-aware-depth-decay-decoding-d-3","title":"Position-Aware Depth Decay Decoding ($D^3$): Boosting Large Language Model Inference Efficiency","date":"2025-03-11","arxiv_id":"2503.08524","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-mathematical-perspective-on-the-paradox","title":"A mathematical perspective on the paradox that chemotherapy sometimes works backwards","date":"2025-03-10","arxiv_id":"2503.10670","n_code_links":0,"syntology":null},{"paper":null,"slug":"interpretable-model-drift-detection","title":"Interpretable Model Drift Detection","date":"2025-03-09","arxiv_id":"2503.06606","n_code_links":0,"syntology":null},{"paper":null,"slug":"enhancing-collective-intelligence-in-large","title":"Enhancing Collective Intelligence in Large Language Models Through Emotional Integration","date":"2025-03-05","arxiv_id":"2503.04849","n_code_links":0,"syntology":null},{"paper":null,"slug":"kuhn-s-theorem-for-games-of-the-extensive","title":"Kuhn's Theorem for Games of the Extensive Form with Unawareness","date":"2025-03-05","arxiv_id":"2503.03788","n_code_links":0,"syntology":null},{"paper":null,"slug":"tracking-aware-deformation-field-estimation","title":"Tracking-Aware Deformation Field Estimation for Non-rigid 3D Reconstruction in Robotic Surgeries","date":"2025-03-04","arxiv_id":"2503.02558","n_code_links":0,"syntology":null},{"paper":"/paper/dynamical-diffusion-learning-temporal","slug":"dynamical-diffusion-learning-temporal","title":"Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models","date":"2025-03-02","arxiv_id":"2503.00951","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":0,"n_instrument":3,"unverified":0,"pointer_only":3,"phrase":"3 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; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["thuml/dynamical-diffusion"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"zero-shot-head-swapping-in-real-world","title":"Zero-Shot Head Swapping in Real-World Scenarios","date":"2025-03-02","arxiv_id":"2503.00861","n_code_links":0,"syntology":null},{"paper":null,"slug":"climate-and-resource-awareness-is-imperative","title":"Climate And Resource Awareness is Imperative to Achieving Sustainable AI (and Preventing a Global AI Arms Race)","date":"2025-02-27","arxiv_id":"2502.20016","n_code_links":0,"syntology":null},{"paper":null,"slug":"joint-fusion-and-encoding-advancing","title":"Joint Fusion and Encoding: Advancing Multimodal Retrieval from the Ground Up","date":"2025-02-27","arxiv_id":"2502.20008","n_code_links":0,"syntology":null},{"paper":"/paper/tripcraft-a-benchmark-for-spatio-temporally","slug":"tripcraft-a-benchmark-for-spatio-temporally","title":"TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning","date":"2025-02-27","arxiv_id":"2502.20508","n_code_links":1,"syntology":null},{"paper":null,"slug":"towards-typologically-aware-rescoring-to","title":"Towards Typologically Aware Rescoring to Mitigate Unfaithfulness in Lower-Resource Languages","date":"2025-02-24","arxiv_id":"2502.17664","n_code_links":0,"syntology":null},{"paper":"/paper/modality-aware-neuron-pruning-for-unlearning","slug":"modality-aware-neuron-pruning-for-unlearning","title":"Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models","date":"2025-02-21","arxiv_id":"2502.15910","n_code_links":1,"syntology":{"ran":6,"of":18,"n_ran_checked":0,"n_instrument":6,"unverified":12,"pointer_only":18,"phrase":"6 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; 6 where Syntology's instrument failed) · 12 unverified","official":{"repos":["franciscoliu/MANU"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":12,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"spatial-distribution-shift-aware-knowledge","title":"Spatial Distribution-Shift Aware Knowledge-Guided Machine Learning","date":"2025-02-20","arxiv_id":"2502.14840","n_code_links":0,"syntology":null},{"paper":null,"slug":"unveiling-cultural-blind-spots-analyzing-the","title":"Unveiling Cultural Blind Spots: Analyzing the Limitations of mLLMs in Procedural Text Comprehension","date":"2025-02-20","arxiv_id":"2502.14315","n_code_links":0,"syntology":null},{"paper":null,"slug":"capturing-rich-behavior-representations-a","title":"Capturing Rich Behavior Representations: A Dynamic Action Semantic-Aware Graph Transformer for Video Captioning","date":"2025-02-19","arxiv_id":"2502.13754","n_code_links":0,"syntology":null},{"paper":null,"slug":"locally-robust-policy-learning-inequality","title":"Locally Robust Policy Learning: Inequality, Inequality of Opportunity and Intergenerational Mobility","date":"2025-02-19","arxiv_id":"2502.13868","n_code_links":0,"syntology":null},{"paper":null,"slug":"fast-data-aware-neural-architecture-search","title":"Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation","date":"2025-02-18","arxiv_id":"2502.12690","n_code_links":0,"syntology":null},{"paper":null,"slug":"multilingual-european-language-models","title":"Multilingual European Language Models: Benchmarking Approaches and Challenges","date":"2025-02-18","arxiv_id":"2502.12895","n_code_links":0,"syntology":null},{"paper":"/paper/fairdiverse-a-comprehensive-toolkit-for-fair","slug":"fairdiverse-a-comprehensive-toolkit-for-fair","title":"FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms","date":"2025-02-17","arxiv_id":"2502.11883","n_code_links":1,"syntology":null},{"paper":null,"slug":"that-is-unacceptable-the-moral-foundations-of","title":"That is Unacceptable: the Moral Foundations of Canceling","date":"2025-02-17","arxiv_id":"2503.05720","n_code_links":0,"syntology":null},{"paper":null,"slug":"semantic-specialization-in-moe-appears-with","title":"Probing Semantic Routing in Large Mixture-of-Expert Models","date":"2025-02-15","arxiv_id":"2502.10928","n_code_links":0,"syntology":null},{"paper":null,"slug":"observer-aware-probabilistic-planning-under","title":"Observer-Aware Probabilistic Planning Under Partial Observability","date":"2025-02-14","arxiv_id":"2502.10568","n_code_links":0,"syntology":null},{"paper":null,"slug":"optimotu-taxonomically-aware-otu-clustering","title":"OptimOTU: Taxonomically aware OTU clustering with optimized thresholds and a bioinformatics workflow for metabarcoding data","date":"2025-02-14","arxiv_id":"2502.10350","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-novel-dialect-aware-framework-for-the","title":"A Novel Dialect-Aware Framework for the Classification of Arabic Dialects and Emotions","date":"2025-02-13","arxiv_id":"2502.09128","n_code_links":0,"syntology":null},{"paper":null,"slug":"farm-frequency-aware-model-for-cross-domain","title":"FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation","date":"2025-02-13","arxiv_id":"2502.09375","n_code_links":0,"syntology":null},{"paper":null,"slug":"mitigating-multiple-single-event-upsets","title":"Mitigating multiple single-event upsets during deep neural network inference using fault-aware training","date":"2025-02-13","arxiv_id":"2502.09374","n_code_links":0,"syntology":null},{"paper":null,"slug":"renegotiation-proof-cheap-talk","title":"Renegotiation-Proof Cheap Talk","date":"2025-02-12","arxiv_id":"2502.08296","n_code_links":0,"syntology":null},{"paper":"/paper/egotextvqa-towards-egocentric-scene-text","slug":"egotextvqa-towards-egocentric-scene-text","title":"EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering","date":"2025-02-11","arxiv_id":"2502.07411","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"pointer_only":0,"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) · 0 unverified","official":{"repos":["zhousheng97/egotextvqa"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"lunar-llm-unlearning-via-neural-activation","title":"LUNAR: LLM Unlearning via Neural Activation Redirection","date":"2025-02-11","arxiv_id":"2502.07218","n_code_links":0,"syntology":null},{"paper":null,"slug":"memhd-memory-efficient-multi-centroid","title":"MEMHD: Memory-Efficient Multi-Centroid Hyperdimensional Computing for Fully-Utilized In-Memory Computing Architectures","date":"2025-02-11","arxiv_id":"2502.07834","n_code_links":0,"syntology":null},{"paper":null,"slug":"physiome-ode-a-benchmark-for-irregularly","title":"Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs","date":"2025-02-11","arxiv_id":"2502.07489","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-thz-based-obstacle-sensing-a","title":"Towards THz-based Obstacle Sensing: A Generative Radio Environment Awareness Framework","date":"2025-02-11","arxiv_id":"2502.07504","n_code_links":0,"syntology":null},{"paper":null,"slug":"completeness-of-datasets-documentation-on-ml","title":"Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation","date":"2025-02-10","arxiv_id":"2503.13463","n_code_links":0,"syntology":null},{"paper":"/paper/evaluation-of-multilingual-image-captioning","slug":"evaluation-of-multilingual-image-captioning","title":"Evaluation of Multilingual Image Captioning: How far can we get with CLIP models?","date":"2025-02-10","arxiv_id":"2502.06600","n_code_links":1,"syntology":null},{"paper":null,"slug":"game-of-coding-with-an-unknown-adversary","title":"Game of Coding With an Unknown Adversary","date":"2025-02-10","arxiv_id":"2502.07109","n_code_links":0,"syntology":null},{"paper":null,"slug":"mobile-application-threats-and-security","title":"Mobile Application Threats and Security","date":"2025-02-08","arxiv_id":"2502.05685","n_code_links":0,"syntology":null},{"paper":null,"slug":"unicp-a-unified-caching-and-pruning-framework","title":"UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation","date":"2025-02-06","arxiv_id":"2502.04393","n_code_links":0,"syntology":null},{"paper":"/paper/carrot-a-cost-aware-rate-optimal-router","slug":"carrot-a-cost-aware-rate-optimal-router","title":"CARROT: A Cost Aware Rate Optimal Router","date":"2025-02-05","arxiv_id":"2502.03261","n_code_links":1,"syntology":null},{"paper":"/paper/spacegnn-multi-space-graph-neural-network-for","slug":"spacegnn-multi-space-graph-neural-network-for","title":"SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels","date":"2025-02-05","arxiv_id":"2502.03201","n_code_links":1,"syntology":null},{"paper":null,"slug":"avoiding-spurious-sharpness-minimization","title":"Avoiding spurious sharpness minimization broadens applicability of SAM","date":"2025-02-04","arxiv_id":"2502.02407","n_code_links":0,"syntology":null},{"paper":null,"slug":"casim-composite-aware-semantic-injection-for","title":"CASIM: Composite Aware Semantic Injection for Text to Motion Generation","date":"2025-02-04","arxiv_id":"2502.02063","n_code_links":0,"syntology":null},{"paper":"/paper/estimating-llm-uncertainty-with-logits","slug":"estimating-llm-uncertainty-with-logits","title":"Estimating LLM Uncertainty with Evidence","date":"2025-02-01","arxiv_id":"2502.00290","n_code_links":1,"syntology":null},{"paper":null,"slug":"lessons-for-genai-literacy-from-a-field-study","title":"Lessons for GenAI Literacy From a Field Study of Human-GenAI Augmentation in the Workplace","date":"2025-02-01","arxiv_id":"2502.00567","n_code_links":0,"syntology":null},{"paper":"/paper/multilingual-state-space-models-for","slug":"multilingual-state-space-models-for","title":"Multilingual State Space Models for Structured Question Answering in Indic Languages","date":"2025-02-01","arxiv_id":"2502.01673","n_code_links":1,"syntology":null},{"paper":null,"slug":"stochastic-linear-bandits-with-latent","title":"Stochastic Linear Bandits with Latent Heterogeneity","date":"2025-02-01","arxiv_id":"2502.00423","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-sampling-complexity-aware-framework-for","title":"A Sampling Complexity-aware Framework for Discrete-time Fractional-Order Dynamical System Identification","date":"2025-01-29","arxiv_id":"2501.17499","n_code_links":0,"syntology":null},{"paper":null,"slug":"think-smarter-not-harder-adaptive-reasoning","title":"Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization","date":"2025-01-29","arxiv_id":"2501.17974","n_code_links":0,"syntology":null},{"paper":"/paper/audio-large-language-models-can-be","slug":"audio-large-language-models-can-be","title":"Audio Large Language Models Can Be Descriptive Speech Quality Evaluators","date":"2025-01-27","arxiv_id":"2501.17202","n_code_links":1,"syntology":null},{"paper":null,"slug":"enhancing-the-convergence-of-federated","title":"Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data","date":"2025-01-27","arxiv_id":"2501.15949","n_code_links":0,"syntology":null},{"paper":null,"slug":"options-aware-dense-retrieval-for-multiple","title":"Options-Aware Dense Retrieval for Multiple-Choice query Answering","date":"2025-01-27","arxiv_id":"2501.16111","n_code_links":0,"syntology":null}],"record_sha256":"e4ecce78aecb82e027979bb72158eb1307cf90e1c6f6bd2e7cf94c71629c032a","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}