Split (1)

train · 300k rows

paper_url stringlengths 36 81	paper_title stringlengths 1 242 ⌀	paper_arxiv_id stringlengths 9 16 ⌀	paper_url_abs stringlengths 18 314	paper_url_pdf stringlengths 21 935 ⌀	repo_url stringlengths 26 200	is_official bool 2 classes	mentioned_in_paper bool 2 classes	mentioned_in_github bool 2 classes	framework stringclasses 9 values
https://paperswithcode.com/paper/managing-o-ran-networks-xapp-development-from	Managing O-RAN Networks: xApp Development from Zero to Hero	2407.09619	https://arxiv.org/abs/2407.09619v3	https://arxiv.org/pdf/2407.09619v3.pdf	https://github.com/santos-j/xapp_development_zero_to_hero	true	true	true	none
https://paperswithcode.com/paper/isethdr-a-physics-based-synthetic-radiance	ISETHDR: A Physics-based Synthetic Radiance Dataset for High Dynamic Range Driving Scenes	2408.12048	https://arxiv.org/abs/2408.12048v1	https://arxiv.org/pdf/2408.12048v1.pdf	https://github.com/iset/isethdrsensor	true	true	true	none
https://paperswithcode.com/paper/3d-human-pose-estimation-with-2d-marginal	3D Human Pose Estimation with 2D Marginal Heatmaps	1806.01484	http://arxiv.org/abs/1806.01484v2	http://arxiv.org/pdf/1806.01484v2.pdf	https://github.com/anibali/margipose	true	true	true	pytorch
https://paperswithcode.com/paper/model-conversion-via-differentially-private	Model Conversion via Differentially Private Data-Free Distillation	2304.12528	https://arxiv.org/abs/2304.12528v2	https://arxiv.org/pdf/2304.12528v2.pdf	https://github.com/MindCode-4/code-7/tree/main/model-conversion-via	false	false	false	mindspore
https://paperswithcode.com/paper/bertscore-evaluating-text-generation-with	BERTScore: Evaluating Text Generation with BERT	1904.09675	https://arxiv.org/abs/1904.09675v3	https://arxiv.org/pdf/1904.09675v3.pdf	https://github.com/stair-lab/villm-eval	false	false	true	pytorch
https://paperswithcode.com/paper/summac-re-visiting-nli-based-models-for	SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization	2111.09525	https://arxiv.org/abs/2111.09525v1	https://arxiv.org/pdf/2111.09525v1.pdf	https://github.com/stair-lab/villm-eval	false	false	true	pytorch
https://paperswithcode.com/paper/neural-networks-for-parameter-estimation-in-1	Neural Networks for Parameter Estimation in Geometrically Anisotropic Geostatistical Models	2408.10915	https://arxiv.org/abs/2408.10915v1	https://arxiv.org/pdf/2408.10915v1.pdf	https://github.com/AlejandroVillazonG/AnisotropyEstimatorsNN	true	false	false	none
https://paperswithcode.com/paper/tina-acceleration-of-non-nn-signal-processing	TINA: Acceleration of Non-NN Signal Processing Algorithms Using NN Accelerators	2408.16551	https://arxiv.org/abs/2408.16551v1	https://arxiv.org/pdf/2408.16551v1.pdf	https://github.com/christiaanboe/tina	true	true	true	pytorch
https://paperswithcode.com/paper/scribble-based-fast-weak-supervision-and	Scribble-based fast weak-supervision and interactive corrections for segmenting whole slide images	2402.08333	https://arxiv.org/abs/2402.08333v1	https://arxiv.org/pdf/2402.08333v1.pdf	https://github.com/antoinehabis/wss-uic	true	true	true	none
https://paperswithcode.com/paper/geocalib-learning-single-image-calibration	GeoCalib: Learning Single-image Calibration with Geometric Optimization	2409.06704	https://arxiv.org/abs/2409.06704v2	https://arxiv.org/pdf/2409.06704v2.pdf	https://github.com/cvg/geocalib	true	true	true	pytorch
https://paperswithcode.com/paper/collaborative-management-of-benchmark	Collaborative Management of Benchmark Instances and their Attributes	2009.02995	https://arxiv.org/abs/2009.02995v2	https://arxiv.org/pdf/2009.02995v2.pdf	https://github.com/Udopia/gbdc	false	false	true	none
https://paperswithcode.com/paper/learning-to-groove-with-inverse-sequence	Learning to Groove with Inverse Sequence Transformations	1905.06118	https://arxiv.org/abs/1905.06118v2	https://arxiv.org/pdf/1905.06118v2.pdf	https://github.com/polimi-ispl/larsnet	false	false	true	pytorch
https://paperswithcode.com/paper/improving-perceptual-quality-of-drum	Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset	2004.00188	https://arxiv.org/abs/2004.00188v5	https://arxiv.org/pdf/2004.00188v5.pdf	https://github.com/polimi-ispl/larsnet	false	false	true	pytorch
https://paperswithcode.com/paper/technical-insights-and-legal-considerations	Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics	2503.09649	https://arxiv.org/abs/2503.09649v2	https://arxiv.org/pdf/2503.09649v2.pdf	https://github.com/IDSIA/FL-Bioinformatics	true	true	true	pytorch
https://paperswithcode.com/paper/enhancing-next-active-object-based-egocentric	Enhancing Next Active Object-based Egocentric Action Anticipation with Guided Attention	2305.12953	https://arxiv.org/abs/2305.12953v2	https://arxiv.org/pdf/2305.12953v2.pdf	https://github.com/sanketsans/ganov2	true	false	true	pytorch
https://paperswithcode.com/paper/spagbol-spatial-graph-based-orientated	SpaGBOL: Spatial-Graph-Based Orientated Localisation	2409.15514	https://arxiv.org/abs/2409.15514v2	https://arxiv.org/pdf/2409.15514v2.pdf	https://github.com/tavisshore/SpaGBOL	true	true	true	pytorch
https://paperswithcode.com/paper/when-the-poset-of-the-ideal-class-monoid-of-a	When the poset of the ideal class monoid of a numerical semigroup is a lattice	2412.07281	https://arxiv.org/abs/2412.07281v1	https://arxiv.org/pdf/2412.07281v1.pdf	https://github.com/numerical-semigroups/ideal-class-monoid	true	true	true	none
https://paperswithcode.com/paper/omnilrs-a-photorealistic-simulator-for-lunar	OmniLRS: A Photorealistic Simulator for Lunar Robotics	2309.08997	https://arxiv.org/abs/2309.08997v1	https://arxiv.org/pdf/2309.08997v1.pdf	https://github.com/antoinerichard/lunarsim	true	true	true	none
https://paperswithcode.com/paper/bip-ndr-nodoirefs-a-dataset-of-citations-from	BIP! NDR (NoDoiRefs): A Dataset of Citations From Papers Without DOIs in Computer Science Conferences and Workshops	2307.12794	https://arxiv.org/abs/2307.12794v1	https://arxiv.org/pdf/2307.12794v1.pdf	https://github.com/athenarc/bip-ndr-workflow	true	true	true	none
https://paperswithcode.com/paper/hawkes-process-based-on-controlled	Hawkes Process Based on Controlled Differential Equations	2305.07031	https://arxiv.org/abs/2305.07031v2	https://arxiv.org/pdf/2305.07031v2.pdf	https://github.com/kookseungji/Hawkes-Process-Based-on-Controlled-Differential-Equations	true	false	true	pytorch
https://paperswithcode.com/paper/nushurescue-revitalization-of-the-endangered	NushuRescue: Revitalization of the Endangered Nushu Language with AI	2412.00218	https://arxiv.org/abs/2412.00218v4	https://arxiv.org/pdf/2412.00218v4.pdf	https://github.com/ivoryayang/NushuRescue	true	true	true	none
https://paperswithcode.com/paper/how-should-we-represent-history-in	How Should We Represent History in Interpretable Models of Clinical Policies?	2412.07895	https://arxiv.org/abs/2412.07895v1	https://arxiv.org/pdf/2412.07895v1.pdf	https://github.com/Healthy-AI/inpole	true	false	true	pytorch
https://paperswithcode.com/paper/constructing-non-markovian-decision-process	Constructing Non-Markovian Decision Process via History Aggregator	2506.24026	https://arxiv.org/abs/2506.24026v1	https://arxiv.org/pdf/2506.24026v1.pdf	https://github.com/2664139264/sequential_rl	true	false	false	none
https://paperswithcode.com/paper/enhanced-graph-learning-schemes-driven-by	Enhanced graph-learning schemes driven by similar distributions of motifs	2207.04747	https://arxiv.org/abs/2207.04747v1	https://arxiv.org/pdf/2207.04747v1.pdf	https://github.com/reysam93/adaptive_agg_gcn	false	false	true	pytorch
https://paperswithcode.com/paper/vrem-fl-mobility-aware-computation-scheduling	VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning	2311.18741	https://arxiv.org/abs/2311.18741v3	https://arxiv.org/pdf/2311.18741v3.pdf	https://github.com/lucaballotta/vrem-fl	true	false	true	pytorch
https://paperswithcode.com/paper/prompting-language-informed-distribution-for	Prompting Language-Informed Distribution for Compositional Zero-Shot Learning	2305.14428	https://arxiv.org/abs/2305.14428v3	https://arxiv.org/pdf/2305.14428v3.pdf	https://github.com/cogito2012/plid	true	true	true	pytorch
https://paperswithcode.com/paper/capturing-visualization-design-rationale	Capturing Visualization Design Rationale	2506.16571	https://arxiv.org/abs/2506.16571v1	https://arxiv.org/pdf/2506.16571v1.pdf	https://github.com/maevehutch/DesignQAR	true	false	false	none
https://paperswithcode.com/paper/llamapartialspoof-an-llm-driven-fake-speech	LlamaPartialSpoof: An LLM-Driven Fake Speech Dataset Simulating Disinformation Generation	2409.14743	https://arxiv.org/abs/2409.14743v2	https://arxiv.org/pdf/2409.14743v2.pdf	https://github.com/hieuthi/llamapartialspoof	true	true	true	none
https://paperswithcode.com/paper/colpali-efficient-document-retrieval-with	ColPali: Efficient Document Retrieval with Vision Language Models	2407.01449	https://arxiv.org/abs/2407.01449v6	https://arxiv.org/pdf/2407.01449v6.pdf	https://github.com/illuin-tech/colpali	false	false	true	pytorch
https://paperswithcode.com/paper/empo-theory-driven-dataset-construction-for	EmPO: Emotion Grounding for Empathetic Response Generation through Preference Optimization	2406.19071	https://arxiv.org/abs/2406.19071v2	https://arxiv.org/pdf/2406.19071v2.pdf	https://github.com/justtherightsize/empo	true	true	false	pytorch
https://paperswithcode.com/paper/fast-analysis-of-the-openai-o1-preview-model	Fast Analysis of the OpenAI O1-Preview Model in Solving Random K-SAT Problem: Does the LLM Solve the Problem Itself or Call an External SAT Solver?	2409.11232	https://arxiv.org/abs/2409.11232v2	https://arxiv.org/pdf/2409.11232v2.pdf	https://github.com/raffaelemarino/analysisopenaio1modelksat	true	true	false	none
https://paperswithcode.com/paper/on-the-limits-of-agency-in-agent-based-models	On the limits of agency in agent-based models	2409.10568	https://arxiv.org/abs/2409.10568v3	https://arxiv.org/pdf/2409.10568v3.pdf	https://github.com/agenttorch/agenttorch	true	true	false	pytorch
https://paperswithcode.com/paper/a-comprehensive-evaluation-of-quantized	Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant	2409.11055	https://arxiv.org/abs/2409.11055v5	https://arxiv.org/pdf/2409.11055v5.pdf	https://gitlab.com/ones-ai/eval-quant-llms	true	true	false	none
https://paperswithcode.com/paper/non-stationary-time-series-forecasting-based	Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism	2505.06917	https://arxiv.org/abs/2505.06917v1	https://arxiv.org/pdf/2505.06917v1.pdf	https://github.com/YukiBear426/AEFIN	true	false	false	pytorch
https://paperswithcode.com/paper/ontology-generation-using-large-language	Ontology Generation using Large Language Models	2503.05388	https://arxiv.org/abs/2503.05388v1	https://arxiv.org/pdf/2503.05388v1.pdf	https://github.com/dersuchendee/Onto-Generation	true	false	false	none
https://paperswithcode.com/paper/mvgamba-unify-3d-content-generation-as-state	MVGamba: Unify 3D Content Generation as State Space Sequence Modeling	2406.06367	https://arxiv.org/abs/2406.06367v3	https://arxiv.org/pdf/2406.06367v3.pdf	https://github.com/skyworkai/mvgamba	true	true	true	jax
https://paperswithcode.com/paper/an-accelerated-algorithm-for-stochastic	An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness	2409.19212	https://arxiv.org/abs/2409.19212v5	https://arxiv.org/pdf/2409.19212v5.pdf	https://github.com/mingruiliu-ml-lab/accelerated-bilevel-optimization-unbounded-smoothness	true	true	false	pytorch
https://paperswithcode.com/paper/crafting-distribution-shifts-for-validation	Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization	2409.19774	https://arxiv.org/abs/2409.19774v1	https://arxiv.org/pdf/2409.19774v1.pdf	https://github.com/nikosefth/crafting-shifts	true	true	true	pytorch
https://paperswithcode.com/paper/deriving-representative-structure-from-music	Synthesizing Composite Hierarchical Structure from Symbolic Music Corpora	2502.15849	https://arxiv.org/abs/2502.15849v4	https://arxiv.org/pdf/2502.15849v4.pdf	https://github.com/ilanashapiro/constraints_project	true	true	true	pytorch
https://paperswithcode.com/paper/forecasting-disease-progression-with-parallel	Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT	2409.20195	https://arxiv.org/abs/2409.20195v2	https://arxiv.org/pdf/2409.20195v2.pdf	https://github.com/arunava555/Forecast_parallel_hyperplanes	true	true	true	pytorch
https://paperswithcode.com/paper/a-survey-on-graph-neural-networks-for-1	A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends	2409.19629	https://arxiv.org/abs/2409.19629v1	https://arxiv.org/pdf/2409.19629v1.pdf	https://github.com/Frank-Wang-oss/GNN_RUL_Benchmarking	true	false	true	pytorch
https://paperswithcode.com/paper/retrieval-based-reconstruction-for-time	REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning	2311.00519	https://arxiv.org/abs/2311.00519v4	https://arxiv.org/pdf/2311.00519v4.pdf	https://github.com/maxxu05/rebar	true	true	true	pytorch
https://paperswithcode.com/paper/dmin-scalable-training-data-influence	DMin: Scalable Training Data Influence Estimation for Diffusion Models	2412.08637	https://arxiv.org/abs/2412.08637v1	https://arxiv.org/pdf/2412.08637v1.pdf	https://github.com/huawei-lin/DMin	true	false	true	pytorch
https://paperswithcode.com/paper/conductor-exponents-for-families-of	Conductor exponents for families of hyperelliptic curves	2410.21134	https://arxiv.org/abs/2410.21134v1	https://arxiv.org/pdf/2410.21134v1.pdf	https://github.com/martin-azon/clusters_and_conductors	true	true	false	none
https://paperswithcode.com/paper/blip-bootstrapping-language-image-pre	BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation	2201.12086	https://arxiv.org/abs/2201.12086v2	https://arxiv.org/pdf/2201.12086v2.pdf	https://github.com/ninatu/howtocaption	false	false	true	pytorch
https://paperswithcode.com/paper/restructuring-vector-quantization-with-the	Restructuring Vector Quantization with the Rotation Trick	2410.06424	https://arxiv.org/abs/2410.06424v1	https://arxiv.org/pdf/2410.06424v1.pdf	https://github.com/lucidrains/vector-quantize-pytorch	true	true	true	pytorch
https://paperswithcode.com/paper/noether-s-razor-learning-conserved-quantities	Noether's razor: Learning Conserved Quantities	2410.08087	https://arxiv.org/abs/2410.08087v1	https://arxiv.org/pdf/2410.08087v1.pdf	https://github.com/tychovdo/noethers-razor	true	false	true	jax
https://paperswithcode.com/paper/synthia-novel-concept-design-with-affordance	Synthia: Novel Concept Design with Affordance Composition	2502.17793	https://arxiv.org/abs/2502.17793v1	https://arxiv.org/pdf/2502.17793v1.pdf	https://github.com/hyeonjeongha/synthia	true	true	false	pytorch
https://paperswithcode.com/paper/donut-document-understanding-transformer	OCR-free Document Understanding Transformer	2111.15664	https://arxiv.org/abs/2111.15664v5	https://arxiv.org/pdf/2111.15664v5.pdf	https://github.com/MindCode-4/code-3/tree/main/donut	false	false	false	mindspore
https://paperswithcode.com/paper/hypothesis-free-discovery-from	Hypothesis-free discovery from epidemiological data by automatic detection and local inference for tree-based nonlinearities and interactions	2505.00571	https://arxiv.org/abs/2505.00571v1	https://arxiv.org/pdf/2505.00571v1.pdf	https://github.com/GiorgioSpadaccini/ruleSHAP	true	false	false	none
https://paperswithcode.com/paper/understanding-and-improving-transferability	Understanding and improving transferability in machine-learned activation energy predictors	2505.00604	https://arxiv.org/abs/2505.00604v1	https://arxiv.org/pdf/2505.00604v1.pdf	https://github.com/Kinetica-jl/Kinetica.jl	true	false	false	none
https://paperswithcode.com/paper/scalarisation-based-risk-concepts-for-robust	Scalarisation-based risk concepts for robust multi-objective optimisation	2405.10221	https://arxiv.org/abs/2405.10221v4	https://arxiv.org/pdf/2405.10221v4.pdf	https://github.com/benmltu/scalarize	true	true	true	pytorch
https://paperswithcode.com/paper/predicting-ionic-conductivity-in-solids-from	Predicting ionic conductivity in solids from the machine-learned potential energy landscape	2411.06804	https://arxiv.org/abs/2411.06804v2	https://arxiv.org/pdf/2411.06804v2.pdf	https://github.com/SiLiKhon/pes_fingerprint	true	false	true	tf
https://paperswithcode.com/paper/learning-test-generators-for-cyber-physical	Learning test generators for cyber-physical systems	2410.03202	https://arxiv.org/abs/2410.03202v1	https://arxiv.org/pdf/2410.03202v1.pdf	https://github.com/dgumenyuk/tool-competition-av	true	false	false	none
https://paperswithcode.com/paper/persuasiveness-of-generated-free-text	Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking	2406.13905	https://arxiv.org/abs/2406.13905v1	https://arxiv.org/pdf/2406.13905v1.pdf	https://github.com/EngSalem/Free-text-rationale-persuasion	true	false	false	none
https://paperswithcode.com/paper/modeling-social-media-recommendation-impacts	Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach	2410.04552	https://arxiv.org/abs/2410.04552v1	https://arxiv.org/pdf/2410.04552v1.pdf	https://github.com/dimneurolab/academic_network_project	true	true	false	pytorch
https://paperswithcode.com/paper/test-time-adaptation-for-keypoint-based	Test-Time Adaptation for Keypoint-Based Spacecraft Pose Estimation Based on Predicted-View Synthesis	2410.04298	https://arxiv.org/abs/2410.04298v1	https://arxiv.org/pdf/2410.04298v1.pdf	https://github.com/jotabravo/spacecraft-tta	true	true	false	pytorch
https://paperswithcode.com/paper/ddr-exploiting-deep-degradation-response-as	DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor	2406.08377	https://arxiv.org/abs/2406.08377v3	https://arxiv.org/pdf/2406.08377v3.pdf	https://github.com/eezkni/ddr	true	true	true	pytorch
https://paperswithcode.com/paper/2408-02824	Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function	2408.02824	https://arxiv.org/abs/2408.02824v2	https://arxiv.org/pdf/2408.02824v2.pdf	https://github.com/mtanveer1/wave-rvfl	true	true	true	none
https://paperswithcode.com/paper/implicitly-aligning-humans-and-autonomous	Implicitly Aligning Humans and Autonomous Agents through Shared Task Abstractions	2505.04579	https://arxiv.org/abs/2505.04579v1	https://arxiv.org/pdf/2505.04579v1.pdf	https://github.com/HIRO-group/HA2	true	false	false	pytorch
https://paperswithcode.com/paper/unveiling-the-mechanisms-of-dai-a-logic-based	Unveiling the Mechanisms of DAI: A Logic-Based Approach to Stablecoin Analysis	2412.15814	https://arxiv.org/abs/2412.15814v3	https://arxiv.org/pdf/2412.15814v3.pdf	https://zenodo.org/record/15094256	true	false	false	none
https://paperswithcode.com/paper/online-isolation-forest	Online Isolation Forest	2505.09593	https://arxiv.org/abs/2505.09593v1	https://arxiv.org/pdf/2505.09593v1.pdf	https://github.com/ineveloppilif/online-isolation-forest	true	true	false	none
https://paperswithcode.com/paper/nerva-a-truly-sparse-implementation-of-neural	Nerva: a Truly Sparse Implementation of Neural Networks	2407.17437	https://arxiv.org/abs/2407.17437v1	https://arxiv.org/pdf/2407.17437v1.pdf	https://github.com/wiegerw/nerva	true	true	true	jax
https://paperswithcode.com/paper/optnet-differentiable-optimization-as-a-layer	OptNet: Differentiable Optimization as a Layer in Neural Networks	1703.00443	https://arxiv.org/abs/1703.00443v5	https://arxiv.org/pdf/1703.00443v5.pdf	https://github.com/kevin-tracy/qpax	false	false	true	jax
https://paperswithcode.com/paper/a-new-federated-learning-framework-against	A New Federated Learning Framework Against Gradient Inversion Attacks	2412.07187	https://arxiv.org/abs/2412.07187v1	https://arxiv.org/pdf/2412.07187v1.pdf	https://github.com/pengxin-guo/hyperfl	true	true	true	pytorch
https://paperswithcode.com/paper/bimedix2-bio-medical-expert-lmm-for-diverse	BiMediX2: Bio-Medical EXpert LMM for Diverse Medical Modalities	2412.07769	https://arxiv.org/abs/2412.07769v1	https://arxiv.org/pdf/2412.07769v1.pdf	https://github.com/mbzuai-oryx/bimedix2	true	true	true	none
https://paperswithcode.com/paper/were-rnns-all-we-needed	Were RNNs All We Needed?	2410.01201	https://arxiv.org/abs/2410.01201v3	https://arxiv.org/pdf/2410.01201v3.pdf	https://github.com/YecanLee/min-LSTM-torch	false	false	true	pytorch
https://paperswithcode.com/paper/stochastic-bilevel-optimization-with-lower	Contextual Bilevel Reinforcement Learning for Incentive Alignment	2406.01575	https://arxiv.org/abs/2406.01575v2	https://arxiv.org/pdf/2406.01575v2.pdf	https://github.com/lasgroup/hpgd	true	true	true	jax
https://paperswithcode.com/paper/integrated-machine-learning-and-survival	Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification	2411.10754	https://arxiv.org/abs/2411.10754v1	https://arxiv.org/pdf/2411.10754v1.pdf	https://github.com/vironix-health/CKD-ZD-project	true	false	true	pytorch
https://paperswithcode.com/paper/lion-xa-unsupervised-domain-adaptation-via	LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training	2410.15833	https://arxiv.org/abs/2410.15833v1	https://arxiv.org/pdf/2410.15833v1.pdf	https://github.com/jensle97/lion-xa	true	true	true	pytorch
https://paperswithcode.com/paper/hammer-robust-function-calling-for-on-device	Hammer: Robust Function-Calling for On-Device Language Models via Function Masking	2410.04587	https://arxiv.org/abs/2410.04587v2	https://arxiv.org/pdf/2410.04587v2.pdf	https://github.com/MadeAgents/Hammer	true	true	true	pytorch
https://paperswithcode.com/paper/semsegbench-detecbench-benchmarking	SemSegBench & DetecBench: Benchmarking Reliability and Generalization Beyond Classification	2505.18015	https://arxiv.org/abs/2505.18015v1	https://arxiv.org/pdf/2505.18015v1.pdf	https://github.com/shashankskagnihotri/benchmarking_reliability_generalization	true	true	false	pytorch
https://paperswithcode.com/paper/wetica-a-directed-search-weighted-ensemble	WeTICA: A directed search weighted ensemble based enhanced sampling method to estimate rare event kinetics in a reduced dimensional space	2501.08926	https://arxiv.org/abs/2501.08926v1	https://arxiv.org/pdf/2501.08926v1.pdf	https://github.com/teamsuman/wetica	true	true	false	none
https://paperswithcode.com/paper/maxim-multi-axis-mlp-for-image-processing	MAXIM: Multi-Axis MLP for Image Processing	2201.02973	https://arxiv.org/abs/2201.02973v2	https://arxiv.org/pdf/2201.02973v2.pdf	https://github.com/sayakpaul/maxim-tf	false	false	true	tf
https://paperswithcode.com/paper/misinfo-reaction-frames-reasoning-about	Misinfo Reaction Frames: Reasoning about Readers’ Reactions to News Headlines	null	https://aclanthology.org/2022.acl-long.222	https://aclanthology.org/2022.acl-long.222.pdf	https://github.com/MindCode-4/code-12/tree/main/misinfo-reaction-frames	false	false	false	mindspore
https://paperswithcode.com/paper/positive-augmented-contrastive-learning-for	Positive-Augmented Contrastive Learning for Vision-and-Language Evaluation and Training	2410.07336	https://arxiv.org/abs/2410.07336v1	https://arxiv.org/pdf/2410.07336v1.pdf	https://github.com/aimagelab/pacscore	true	true	true	pytorch
https://paperswithcode.com/paper/inceventgs-pose-free-gaussian-splatting-from	IncEventGS: Pose-Free Gaussian Splatting from a Single Event Camera	2410.08107	https://arxiv.org/abs/2410.08107v2	https://arxiv.org/pdf/2410.08107v2.pdf	https://github.com/wu-cvgl/inceventgs	true	true	true	pytorch
https://paperswithcode.com/paper/one-shot-world-models-using-a-transformer	One-shot World Models Using a Transformer Trained on a Synthetic Prior	2409.14084	https://arxiv.org/abs/2409.14084v2	https://arxiv.org/pdf/2409.14084v2.pdf	https://github.com/automl/oswm	true	true	false	pytorch
https://paperswithcode.com/paper/improving-speaker-representations-using	Improving Speaker Representations Using Contrastive Losses on Multi-scale Features	2410.05037	https://arxiv.org/abs/2410.05037v1	https://arxiv.org/pdf/2410.05037v1.pdf	https://github.com/satvik-dixit/mfcon	true	true	true	pytorch
https://paperswithcode.com/paper/llms-and-memorization-on-quality-and	LLMs and Memorization: On Quality and Specificity of Copyright Compliance	2405.18492	https://arxiv.org/abs/2405.18492v3	https://arxiv.org/pdf/2405.18492v3.pdf	https://github.com/felixbmuller/llms-memorization-copyright	true	true	true	none
https://paperswithcode.com/paper/zero-reference-deep-curve-estimation-for-low	Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement	2001.06826	https://arxiv.org/abs/2001.06826v2	https://arxiv.org/pdf/2001.06826v2.pdf	https://github.com/pwc-1/Paper-9/tree/main/6/Zero-DCE%2B%2B	false	false	false	mindspore
https://paperswithcode.com/paper/contrast-similarity-aware-dual-pathway-mamba	Contrast Similarity-Aware Dual-Pathway Mamba for Multivariate Time Series Node Classification	2411.12222	https://arxiv.org/abs/2411.12222v1	https://arxiv.org/pdf/2411.12222v1.pdf	https://github.com/dumingsen/DPMamba	true	false	false	pytorch
https://paperswithcode.com/paper/learning-to-optimize-for-mixed-integer-non	Learning to Optimize for Mixed-Integer Non-linear Programming with Feasibility Guarantees	2410.11061	https://arxiv.org/abs/2410.11061v9	https://arxiv.org/pdf/2410.11061v9.pdf	https://github.com/pnnl/l2o-pminlp	true	true	true	pytorch
https://paperswithcode.com/paper/step-level-reward-for-free-in-rl-based-t2i	Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning	2505.19196	https://arxiv.org/abs/2505.19196v1	https://arxiv.org/pdf/2505.19196v1.pdf	https://github.com/lil-shake/coca	true	true	false	pytorch
https://paperswithcode.com/paper/cerebrum-aios-sdk-a-platform-for-agent	Cerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discovery	2503.11444	https://arxiv.org/abs/2503.11444v1	https://arxiv.org/pdf/2503.11444v1.pdf	https://github.com/agiresearch/aios	false	false	true	none
https://paperswithcode.com/paper/instant-gaussian-stream-fast-and	Instant Gaussian Stream: Fast and Generalizable Streaming of Dynamic Scene Reconstruction via Gaussian Splatting	2503.16979	https://arxiv.org/abs/2503.16979v1	https://arxiv.org/pdf/2503.16979v1.pdf	https://github.com/yjb6/IGS	true	false	true	jax
https://paperswithcode.com/paper/modelling-and-verifying-neuronal-archetypes	Modelling and Verifying Neuronal Archetypes in Coq	2505.05362	https://arxiv.org/abs/2505.05362v1	https://arxiv.org/pdf/2505.05362v1.pdf	https://github.com/afelty/NeuronalArchetypesAppendix	true	false	false	none
https://paperswithcode.com/paper/quic-exfil-exploiting-quic-s-server-preferred	QUIC-Exfil: Exploiting QUIC's Server Preferred Address Feature to Perform Data Exfiltration Attacks	2505.05292	https://arxiv.org/abs/2505.05292v1	https://arxiv.org/pdf/2505.05292v1.pdf	https://github.com/thomasgruebl/quic-exfil	true	true	false	none
https://paperswithcode.com/paper/from-n-grams-to-pre-trained-multilingual	From N-grams to Pre-trained Multilingual Models For Language Identification	2410.08728	https://arxiv.org/abs/2410.08728v1	https://arxiv.org/pdf/2410.08728v1.pdf	https://github.com/dsfsi/za-lid	true	true	false	pytorch
https://paperswithcode.com/paper/integrating-supertag-features-into-neural	Integrating Supertag Features into Neural Discontinuous Constituent Parsing	2410.08766	https://arxiv.org/abs/2410.08766v1	https://arxiv.org/pdf/2410.08766v1.pdf	https://github.com/filemon11/discoparset-supertag	true	true	false	pytorch
https://paperswithcode.com/paper/beyond-gfvc-a-progressive-face-video	Beyond GFVC: A Progressive Face Video Compression Framework with Adaptive Visual Tokens	2410.08485	https://arxiv.org/abs/2410.08485v1	https://arxiv.org/pdf/2410.08485v1.pdf	https://github.com/berlin0610/pfvc	true	true	false	none
https://paperswithcode.com/paper/do-generative-video-models-learn-physical	Do generative video models understand physical principles?	2501.09038	https://arxiv.org/abs/2501.09038v3	https://arxiv.org/pdf/2501.09038v3.pdf	https://github.com/google-deepmind/physics-IQ-benchmark	true	true	false	none
https://paperswithcode.com/paper/extreme-sparsity-gives-rise-to-functional	Dynamics of specialization in neural modules under resource constraints	2106.02626	https://arxiv.org/abs/2106.02626v6	https://arxiv.org/pdf/2106.02626v6.pdf	https://github.com/GabrielBena/specialization-dynamics	true	true	true	pytorch
https://paperswithcode.com/paper/a-framework-for-adapting-human-robot	A Framework for Adapting Human-Robot Interaction to Diverse User Groups	2410.11377	https://arxiv.org/abs/2410.11377v2	https://arxiv.org/pdf/2410.11377v2.pdf	https://github.com/tpekarekrosin/uhh_ub_ageawarehri	true	true	true	pytorch
https://paperswithcode.com/paper/aide-ai-driven-exploration-in-the-space-of	AIDE: AI-Driven Exploration in the Space of Code	2502.13138	https://arxiv.org/abs/2502.13138v1	https://arxiv.org/pdf/2502.13138v1.pdf	https://github.com/wecoai/aideml	true	true	true	none
https://paperswithcode.com/paper/re-bench-evaluating-frontier-ai-r-d	RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts	2411.15114	https://arxiv.org/abs/2411.15114v1	https://arxiv.org/pdf/2411.15114v1.pdf	https://github.com/wecoai/aideml	true	false	true	none
https://paperswithcode.com/paper/amago-scalable-in-context-reinforcement	AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents	2310.09971	https://arxiv.org/abs/2310.09971v4	https://arxiv.org/pdf/2310.09971v4.pdf	https://github.com/ut-austin-rpl/amago	true	true	true	pytorch
https://paperswithcode.com/paper/conditional-latent-diffusion-based-speech	Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning	2501.10052	https://arxiv.org/abs/2501.10052v1	https://arxiv.org/pdf/2501.10052v1.pdf	https://github.com/modelscope/ClearerVoice-Studio	true	true	false	pytorch
https://paperswithcode.com/paper/ditto-tts-efficient-and-scalable-zero-shot	DiTTo-TTS: Diffusion Transformers for Scalable Text-to-Speech without Domain-Specific Factors	2406.11427	https://arxiv.org/abs/2406.11427v2	https://arxiv.org/pdf/2406.11427v2.pdf	https://github.com/keonlee9420/evaluate-zero-shot-tts	false	false	true	pytorch
https://paperswithcode.com/paper/shapley-guided-utility-learning-for-effective	Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation	2503.18195	https://arxiv.org/abs/2503.18195v1	https://arxiv.org/pdf/2503.18195v1.pdf	https://github.com/frankhlchi/infer_data_valuation	true	false	false	pytorch

Subsets and Splits

Framework Repo Connectivity Analysis

Reveals the number of official and unofficial repositories and papers associated with different frameworks, highlighting the most connected ones.

Deduplicated Paper-Code Links

This query provides a detailed and organized list of repositories linked to single papers, highlighting official status and mention sources, which is useful for understanding the relationship between papers and their corresponding repositories.

Paper Repo Counts & Distribution

Provides detailed statistics on the distribution of papers across different numbers of repositories, highlighting the percentage of papers with multiple repositories.

Quantum Papers with Code Links

Lists quantum-related papers with their titles, arXiv IDs, frameworks, and code repository links, providing a valuable resource for researchers interested in quantum computing.

Financial Stock Price Prediction

Finds papers related to stock prices, financial markets, and predictions, providing a focused subset for further analysis.

SQL Console for pwc-archive/links-between-paper-and-code

Retrieves specific details about a single paper by its arXiv ID, providing limited insight into the dataset.

Search for YOLO Links

Retrieves a limited set of records related to YOLO, providing basic information about papers and repositories but without deeper analysis.

Prompt Optimization and Personalization

Retrieves a limited set of papers with titles containing specific keywords related to prompt optimization and personalization, providing basic filtering of the dataset.