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/findver-explainable-claim-verification-over	FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents	2411.05764	https://arxiv.org/abs/2411.05764v1	https://arxiv.org/pdf/2411.05764v1.pdf	https://github.com/yilunzhao/FinDVer	true	true	true	pytorch
https://paperswithcode.com/paper/optimal-high-frequency-trading-with-limit-and	Optimal High Frequency Trading with limit and market orders	1106.5040	https://arxiv.org/abs/1106.5040v1	https://arxiv.org/pdf/1106.5040v1.pdf	https://github.com/lcsrodriguez/optimalHFT	false	false	true	none
https://paperswithcode.com/paper/transferable-selective-virtual-sensing-active	Transferable Selective Virtual Sensing Active Noise Control Technique Based on Metric Learning	2409.05470	https://arxiv.org/abs/2409.05470v1	https://arxiv.org/pdf/2409.05470v1.pdf	https://github.com/Wang-Boxiang/Transferable-Selective-Virtual-Sensing-Active-Noise-Control	true	false	true	pytorch
https://paperswithcode.com/paper/gx2mol-de-novo-generation-of-hit-like	De Novo Generation of Hit-like Molecules from Gene Expression Profiles via Deep Learning	2412.19422	https://arxiv.org/abs/2412.19422v2	https://arxiv.org/pdf/2412.19422v2.pdf	https://github.com/naruto7283/gx2mol	true	true	false	pytorch
https://paperswithcode.com/paper/generalized-uncertainty-based-evidential	Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action Localization	2412.19418	https://arxiv.org/abs/2412.19418v1	https://arxiv.org/pdf/2412.19418v1.pdf	https://github.com/heyuanpengpku/guef	true	true	false	pytorch
https://paperswithcode.com/paper/recurrent-neural-networks-with-top-k-gains	Recurrent Neural Networks with Top-k Gains for Session-based Recommendations	1706.03847	http://arxiv.org/abs/1706.03847v3	http://arxiv.org/pdf/1706.03847v3.pdf	https://github.com/otto-de/recsys-dataset	false	false	true	none
https://paperswithcode.com/paper/an-open-dataset-for-oracle-bone-script	An open dataset for oracle bone script recognition and decipherment	2401.15365	https://arxiv.org/abs/2401.15365v4	https://arxiv.org/pdf/2401.15365v4.pdf	https://github.com/yuliang-liu/open-oracle	true	true	true	none
https://paperswithcode.com/paper/pareto-front-approximation-for-multi	Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems	2407.16828	https://arxiv.org/abs/2407.16828v3	https://arxiv.org/pdf/2407.16828v3.pdf	https://github.com/otto-de/recsys-dataset	true	false	true	none
https://paperswithcode.com/paper/180809781	Self-Attentive Sequential Recommendation	1808.09781	http://arxiv.org/abs/1808.09781v1	http://arxiv.org/pdf/1808.09781v1.pdf	https://github.com/otto-de/recsys-dataset	false	false	true	none
https://paperswithcode.com/paper/question-attentive-review-level-for-neural	Question-Attentive Review-Level for Neural Rating Regression	null	https://dl.acm.org/doi/10.1145/3699516	https://dl.acm.org/doi/pdf/10.1145/3699516	https://github.com/PreferredAI/QuestER	false	false	false	tf
https://paperswithcode.com/paper/floating-point-neural-networks-are-provably	Floating-Point Neural Networks Are Provably Robust Universal Approximators	2506.16065	https://arxiv.org/abs/2506.16065v1	https://arxiv.org/pdf/2506.16065v1.pdf	https://github.com/yechanp/floating-point-iua-theorem	true	true	false	none
https://paperswithcode.com/paper/imageref-vl-enabling-contextual-image	ImageRef-VL: Enabling Contextual Image Referencing in Vision-Language Models	2501.12418	https://arxiv.org/abs/2501.12418v1	https://arxiv.org/pdf/2501.12418v1.pdf	https://github.com/bytedance/imageref-vl	true	true	false	pytorch
https://paperswithcode.com/paper/solving-high-dimensional-pdes-with-latent	Solving High-Dimensional PDEs with Latent Spectral Models	2301.12664	https://arxiv.org/abs/2301.12664v3	https://arxiv.org/pdf/2301.12664v3.pdf	https://github.com/thuml/Latent-Spectral-Models	true	true	true	pytorch
https://paperswithcode.com/paper/stmdnet-a-lightweight-directional-framework	STMDNet: A Lightweight Directional Framework for Motion Pattern Recognition of Tiny Targets	2501.13054	https://arxiv.org/abs/2501.13054v1	https://arxiv.org/pdf/2501.13054v1.pdf	https://github.com/mingshuoxu/stmdnet	true	true	true	none
https://paperswithcode.com/paper/vpi-bench-visual-prompt-injection-attacks-for	VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents	2506.02456	https://arxiv.org/abs/2506.02456v1	https://arxiv.org/pdf/2506.02456v1.pdf	https://github.com/cua-framework/agents	true	true	false	none
https://paperswithcode.com/paper/learning-partonomic-3d-reconstruction-from	Learning Partonomic 3D Reconstruction from Image Collections	null	http://openaccess.thecvf.com//content/CVPR2025/html/Ruan_Learning_Partonomic_3D_Reconstruction_from_Image_Collections_CVPR_2025_paper.html	http://openaccess.thecvf.com//content/CVPR2025/papers/Ruan_Learning_Partonomic_3D_Reconstruction_from_Image_Collections_CVPR_2025_paper.pdf	https://github.com/xiaoqianruan1/partonomic_reconstruction	true	true	false	none
https://paperswithcode.com/paper/stress-testing-machine-generated-text	Stress-testing Machine Generated Text Detection: Shifting Language Models Writing Style to Fool Detectors	2505.24523	https://arxiv.org/abs/2505.24523v1	https://arxiv.org/pdf/2505.24523v1.pdf	https://github.com/gpucce/control_mgt	true	true	true	pytorch
https://paperswithcode.com/paper/videocad-a-large-scale-video-dataset-for	VideoCAD: A Large-Scale Video Dataset for Learning UI Interactions and 3D Reasoning from CAD Software	2505.24838	https://arxiv.org/abs/2505.24838v1	https://arxiv.org/pdf/2505.24838v1.pdf	https://github.com/brandonman123/videocad	true	true	false	pytorch
https://paperswithcode.com/paper/specklenn-a-unified-embedding-for-real-time	SpeckleNN: A unified embedding for real-time speckle pattern classification in X-ray single-particle imaging with limited labeled examples	2302.06895	https://arxiv.org/abs/2302.06895v1	https://arxiv.org/pdf/2302.06895v1.pdf	https://github.com/carbonscott/speckleNN	false	false	false	pytorch
https://paperswithcode.com/paper/tracing-knowledge-instead-of-paterns-stable	Tracing Knowledge Instead of Paterns: Stable Knowledge Tracing with Diagnostic Transformer	null	https://dl.acm.org/doi/abs/10.1145/3543507.3583255	https://dl.acm.org/doi/abs/10.1145/3543507.3583255	https://github.com/yxonic/DTransformer	false	true	false	pytorch
https://paperswithcode.com/paper/what-limits-llm-based-human-simulation-llms	What Limits LLM-based Human Simulation: LLMs or Our Design?	2501.08579	https://arxiv.org/abs/2501.08579v1	https://arxiv.org/pdf/2501.08579v1.pdf	https://github.com/persdre/llm-human-simulation	true	true	false	none
https://paperswithcode.com/paper/certified-robustness-under-bounded	Certified Robustness Under Bounded Levenshtein Distance	2501.13676	https://arxiv.org/abs/2501.13676v1	https://arxiv.org/pdf/2501.13676v1.pdf	https://github.com/lions-epfl/lipslev	true	true	false	pytorch
https://paperswithcode.com/paper/learning-to-explain-recommendations	On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance	2102.00627	https://arxiv.org/abs/2102.00627v4	https://arxiv.org/pdf/2102.00627v4.pdf	https://github.com/lileipisces/bper	true	true	true	pytorch
https://paperswithcode.com/paper/attractor-based-coevolving-dot-product-random	Attractor-Based Coevolving Dot Product Random Graph Model	2505.02675	https://arxiv.org/abs/2505.02675v1	https://arxiv.org/pdf/2505.02675v1.pdf	https://github.com/Shiwen-Yang/ABCDPRGM	true	false	false	pytorch
https://paperswithcode.com/paper/onlyflow-optical-flow-based-motion	OnlyFlow: Optical Flow based Motion Conditioning for Video Diffusion Models	2411.10501	https://arxiv.org/abs/2411.10501v1	https://arxiv.org/pdf/2411.10501v1.pdf	https://github.com/obvious-research/OnlyFlow	false	false	true	pytorch
https://paperswithcode.com/paper/token-weighting-for-long-range-language	Token Weighting for Long-Range Language Modeling	2503.09202	https://arxiv.org/abs/2503.09202v1	https://arxiv.org/pdf/2503.09202v1.pdf	https://github.com/ukplab/naacl2025-token-weighting	true	true	true	pytorch
https://paperswithcode.com/paper/interpretable-rna-foundation-model-from	Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions	2204.00300	https://arxiv.org/abs/2204.00300v5	https://arxiv.org/pdf/2204.00300v5.pdf	https://github.com/lulab/OligoFormer	false	false	true	none
https://paperswithcode.com/paper/chatbot-arena-an-open-platform-for-evaluating	Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference	2403.04132	https://arxiv.org/abs/2403.04132v1	https://arxiv.org/pdf/2403.04132v1.pdf	https://github.com/aken12/LLM-based-QE-fails	false	false	true	none
https://paperswithcode.com/paper/towards-effective-and-efficient-context-aware	Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images	2503.05678	https://arxiv.org/abs/2503.05678v1	https://arxiv.org/pdf/2503.05678v1.pdf	https://github.com/windygoo/pathcontext	true	true	false	none
https://paperswithcode.com/paper/misspelling-oblivious-word-embeddings	Misspelling Oblivious Word Embeddings	1905.09755	https://arxiv.org/abs/1905.09755v1	https://arxiv.org/pdf/1905.09755v1.pdf	https://github.com/dleemiller/string-noise	false	false	true	none
https://paperswithcode.com/paper/sparsity-promoting-reachability-analysis-and	Sparsity-Promoting Reachability Analysis and Optimization of Constrained Zonotopes	2504.03885	https://arxiv.org/abs/2504.03885v1	https://arxiv.org/pdf/2504.03885v1.pdf	https://github.com/psu-PAC-Lab/ZonoOpt	true	false	true	none
https://paperswithcode.com/paper/rejshand-efficient-real-time-hand-pose	ReJSHand: Efficient Real-Time Hand Pose Estimation and Mesh Reconstruction Using Refined Joint and Skeleton Features	2503.05995	https://arxiv.org/abs/2503.05995v1	https://arxiv.org/pdf/2503.05995v1.pdf	https://github.com/daishipeng/rejshand	true	true	false	pytorch
https://paperswithcode.com/paper/hierdamap-towards-universal-domain-adaptive	HierDAMap: Towards Universal Domain Adaptive BEV Mapping via Hierarchical Perspective Priors	2503.06821	https://arxiv.org/abs/2503.06821v1	https://arxiv.org/pdf/2503.06821v1.pdf	https://github.com/lynn-yu/hierdamap	true	true	true	pytorch
https://paperswithcode.com/paper/bi-level-optimization-for-parameter	Bi-Level optimization for parameter estimation of differential equations using interpolation	2506.00720	https://arxiv.org/abs/2506.00720v1	https://arxiv.org/pdf/2506.00720v1.pdf	https://github.com/siddharth-prabhu/bilevelparameterestimation	true	true	true	jax
https://paperswithcode.com/paper/learning-to-localize-leakage-of-cryptographic	Learning to Localize Leakage of Cryptographic Sensitive Variables	2503.07464	https://arxiv.org/abs/2503.07464v1	https://arxiv.org/pdf/2503.07464v1.pdf	https://github.com/jimgammell/learning_to_localize_leakage	true	true	true	pytorch
https://paperswithcode.com/paper/drawing-a-map-of-elections	Drawing a Map of Elections	2504.03809	https://arxiv.org/abs/2504.03809v2	https://arxiv.org/pdf/2504.03809v2.pdf	https://github.com/Project-PRAGMA/Journal---Drawing-a-Map-of-Elections	true	false	false	none
https://paperswithcode.com/paper/an-adaptively-inexact-method-for-bilevel	An Adaptively Inexact Method for Bilevel Learning Using Primal-Dual Style Differentiation	2412.06436	https://arxiv.org/abs/2412.06436v3	https://arxiv.org/pdf/2412.06436v3.pdf	https://github.com/MohammadSadeghSalehi/Analytical-Deep-Priors	false	false	true	pytorch
https://paperswithcode.com/paper/a-simulation-study-to-compare-210pb-dating	A simulation study to compare 210Pb dating data analyses	2012.06819	https://arxiv.org/abs/2012.06819v1	https://arxiv.org/pdf/2012.06819v1.pdf	https://github.com/maquinolopez/Paper_Simulations	true	true	true	none
https://paperswithcode.com/paper/good-colour-maps-how-to-design-them	Good Colour Maps: How to Design Them	1509.03700	http://arxiv.org/abs/1509.03700v1	http://arxiv.org/pdf/1509.03700v1.pdf	https://github.com/holoviz/colorcet	false	false	true	none
https://paperswithcode.com/paper/clustering-the-nearest-neighbor-gaussian	Clustering the Nearest Neighbor Gaussian Process	2501.10656	https://arxiv.org/abs/2501.10656v1	https://arxiv.org/pdf/2501.10656v1.pdf	https://github.com/ashlynn-c/cnngp	true	true	false	none
https://paperswithcode.com/paper/ceresa-cycles-of-x-0-n	Ceresa Cycles of $X_{0}(N)$	2501.14060	https://arxiv.org/abs/2501.14060v2	https://arxiv.org/pdf/2501.14060v2.pdf	https://github.com/jameswrawson/modularceresa	true	true	false	none
https://paperswithcode.com/paper/event-based-motion-segmentation-by-cascaded	Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fitting	2111.03483	https://arxiv.org/abs/2111.03483v1	https://arxiv.org/pdf/2111.03483v1.pdf	https://github.com/hkust-aerial-robotics/emsgc	false	false	true	none
https://paperswithcode.com/paper/certified-knowledge-compilation-with	Certified Knowledge Compilation with Application to Formally Verified Model Counting	2501.12906	https://arxiv.org/abs/2501.12906v1	https://arxiv.org/pdf/2501.12906v1.pdf	https://github.com/rebryant/cpog	true	true	false	none
https://paperswithcode.com/paper/safe-interval-randomized-path-planing-for	Safe Interval Randomized Path Planning For Manipulators	2412.19567	https://arxiv.org/abs/2412.19567v2	https://arxiv.org/pdf/2412.19567v2.pdf	https://github.com/pathplanning/manipulationplanning-si-rrt	true	true	true	none
https://paperswithcode.com/paper/langevin-soft-actor-critic-efficient	Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning	2501.17827	https://arxiv.org/abs/2501.17827v1	https://arxiv.org/pdf/2501.17827v1.pdf	https://github.com/hmishfaq/lsac	true	true	false	pytorch
https://paperswithcode.com/paper/2ssp-a-two-stage-framework-for-structured	2SSP: A Two-Stage Framework for Structured Pruning of LLMs	2501.17771	https://arxiv.org/abs/2501.17771v1	https://arxiv.org/pdf/2501.17771v1.pdf	https://github.com/fabriziosandri/2ssp	true	true	true	none
https://paperswithcode.com/paper/recovery-policies-for-safe-exploration-of	Recovery Policies for Safe Exploration of Lunar Permanently Shadowed Regions by a Solar-Powered Rover	2307.16786	https://arxiv.org/abs/2307.16786v2	https://arxiv.org/pdf/2307.16786v2.pdf	https://github.com/utiasSTARS/gplanetary-nav	true	false	true	none
https://paperswithcode.com/paper/estimating-adult-death-rates-from-sibling	Estimating adult death rates from sibling histories: A network approach	1906.12000	http://arxiv.org/abs/1906.12000v1	http://arxiv.org/pdf/1906.12000v1.pdf	https://github.com/dfeehan/siblingsurvival	true	true	true	none
https://paperswithcode.com/paper/u-net-convolutional-networks-for-biomedical	U-Net: Convolutional Networks for Biomedical Image Segmentation	1505.04597	http://arxiv.org/abs/1505.04597v1	http://arxiv.org/pdf/1505.04597v1.pdf	https://github.com/sk1123344/U-2-NET-and-U-NET	false	false	true	pytorch
https://paperswithcode.com/paper/u-2-net-going-deeper-with-nested-u-structure	U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection	2005.09007	https://arxiv.org/abs/2005.09007v3	https://arxiv.org/pdf/2005.09007v3.pdf	https://github.com/sk1123344/U-2-NET-and-U-NET	false	false	true	pytorch
https://paperswithcode.com/paper/large-scale-cross-modality-pretrained-model	Translating Electrocardiograms to Cardiac Magnetic Resonance Imaging Useful for Cardiac Assessment and Disease Screening: A Multi-Center Study AI for ECG to CMR Translation Study	2411.13602	https://arxiv.org/abs/2411.13602v2	https://arxiv.org/pdf/2411.13602v2.pdf	https://github.com/yukui-1999/ecg-cmr	true	true	true	pytorch
https://paperswithcode.com/paper/motion-x-a-large-scale-multimodal-3d-whole	Motion-X++: A Large-Scale Multimodal 3D Whole-body Human Motion Dataset	2501.05098	https://arxiv.org/abs/2501.05098v1	https://arxiv.org/pdf/2501.05098v1.pdf	https://github.com/idea-research/motion-x	false	false	true	pytorch
https://paperswithcode.com/paper/sample-based-krylov-quantum-diagonalization	Quantum-Centric Algorithm for Sample-Based Krylov Diagonalization	2501.09702	https://arxiv.org/abs/2501.09702v2	https://arxiv.org/pdf/2501.09702v2.pdf	https://github.com/qiskit/qiskit-addon-sqd	true	true	true	jax
https://paperswithcode.com/paper/uniocc-a-unified-benchmark-for-occupancy	UniOcc: A Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous Driving	2503.24381	https://arxiv.org/abs/2503.24381v1	https://arxiv.org/pdf/2503.24381v1.pdf	https://github.com/tasl-lab/uniocc	true	true	true	pytorch
https://paperswithcode.com/paper/schemaagent-a-multi-agents-framework-for	SchemaAgent: A Multi-Agents Framework for Generating Relational Database Schema	2503.23886	https://arxiv.org/abs/2503.23886v1	https://arxiv.org/pdf/2503.23886v1.pdf	https://github.com/hnugraph/llm4dbdesign	true	true	false	none
https://paperswithcode.com/paper/quantum-computing-of-reacting-flows-via	Quantum computing of reacting flows via Hamiltonian simulation	2312.07893	https://arxiv.org/abs/2312.07893v3	https://arxiv.org/pdf/2312.07893v3.pdf	https://github.com/YYgroup/qcReactingFlows	true	false	true	none
https://paperswithcode.com/paper/focusedad-character-centric-movie-audio	FocusedAD: Character-centric Movie Audio Description	2504.12157	https://arxiv.org/abs/2504.12157v3	https://arxiv.org/pdf/2504.12157v3.pdf	https://github.com/thorin215/focusedad	true	true	false	pytorch
https://paperswithcode.com/paper/mass-moerging-through-adaptive-subspace	MASS: MoErging through Adaptive Subspace Selection	2504.05342	https://arxiv.org/abs/2504.05342v1	https://arxiv.org/pdf/2504.05342v1.pdf	https://github.com/crisostomi/mass	false	true	false	pytorch
https://paperswithcode.com/paper/exponential-quantum-speedup-for-simulating	Exponential Quantum Speedup for Simulating Classical Lattice Dynamics	2504.05453	https://arxiv.org/abs/2504.05453v1	https://arxiv.org/pdf/2504.05453v1.pdf	https://github.com/xxl12/quantum-algorithms-lattice-dynamics	true	true	false	none
https://paperswithcode.com/paper/predicting-cascade-failures-in-interdependent	Predicting Cascade Failures in Interdependent Urban Infrastructure Networks	2503.02890	https://arxiv.org/abs/2503.02890v1	https://arxiv.org/pdf/2503.02890v1.pdf	https://github.com/tsinghua-fib-lab/icube	true	true	false	pytorch
https://paperswithcode.com/paper/synthesizing-permissive-winning-strategy	Synthesizing Permissive Winning Strategy Templates for Parity Games	2305.14026	https://arxiv.org/abs/2305.14026v2	https://arxiv.org/pdf/2305.14026v2.pdf	https://github.com/satya2009rta/pestel	true	true	true	none
https://paperswithcode.com/paper/seaformer-squeeze-enhanced-axial-transformer	SeaFormer++: Squeeze-enhanced Axial Transformer for Mobile Visual Recognition	2301.13156	https://arxiv.org/abs/2301.13156v5	https://arxiv.org/pdf/2301.13156v5.pdf	https://github.com/fudan-zvg/seaformer	true	true	true	pytorch
https://paperswithcode.com/paper/curvature-tuning-provable-training-free-model	Curvature Tuning: Provable Training-free Model Steering From a Single Parameter	2502.07783	https://arxiv.org/abs/2502.07783v1	https://arxiv.org/pdf/2502.07783v1.pdf	https://github.com/leon-leyang/curvature-tuning	true	true	true	pytorch
https://paperswithcode.com/paper/on-the-randomized-horn-problem-and-the	On the randomized Horn problem and the surface tension of hives	2410.12619	https://arxiv.org/abs/2410.12619v3	https://arxiv.org/pdf/2410.12619v3.pdf	https://github.com/aalok1993/combinatorial-hives	true	true	true	none
https://paperswithcode.com/paper/less-is-more-one-shot-subgraph-reasoning-on	Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs	2403.10231	https://arxiv.org/abs/2403.10231v2	https://arxiv.org/pdf/2403.10231v2.pdf	https://github.com/tmlr-group/one-shot-subgraph	true	true	true	pytorch
https://paperswithcode.com/paper/template-based-financial-report-generation-in	Template-Based Financial Report Generation in Agentic and Decomposed Information Retrieval	2504.14233	https://arxiv.org/abs/2504.14233v1	https://arxiv.org/pdf/2504.14233v1.pdf	https://github.com/bryant-nn/template-based-financial-report-generation	true	true	true	none
https://paperswithcode.com/paper/teach-me-how-to-denoise-a-universal-framework	Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration	2504.14214	https://arxiv.org/abs/2504.14214v1	https://arxiv.org/pdf/2504.14214v1.pdf	https://github.com/neon-jing/guider	true	true	false	pytorch
https://paperswithcode.com/paper/deepretrieval-powerful-query-generation-for	DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning	2503.00223	https://arxiv.org/abs/2503.00223v3	https://arxiv.org/pdf/2503.00223v3.pdf	https://github.com/pat-jj/deepretrieval	true	true	true	pytorch
https://paperswithcode.com/paper/zooming-in-on-fakes-a-novel-dataset-for	Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach	2504.11922	https://arxiv.org/abs/2504.11922v2	https://arxiv.org/pdf/2504.11922v2.pdf	https://github.com/clpbc/br-gen	true	true	true	pytorch
https://paperswithcode.com/paper/distilling-heterogeneous-treatment-effects	Distilling heterogeneous treatment effects: Stable subgroup estimation in causal inference	2502.07275	https://arxiv.org/abs/2502.07275v2	https://arxiv.org/pdf/2502.07275v2.pdf	https://github.com/tiffanymtang/causalDT	true	false	true	none
https://paperswithcode.com/paper/window-token-concatenation-for-efficient	Window Token Concatenation for Efficient Visual Large Language Models	2504.04024	https://arxiv.org/abs/2504.04024v1	https://arxiv.org/pdf/2504.04024v1.pdf	https://github.com/jackyfl/wico	true	true	true	pytorch
https://paperswithcode.com/paper/instability-analysis-of-massive-static	Instability Analysis of Massive Static Phantom Wormholes via the Spectral Method	2502.05486	https://arxiv.org/abs/2502.05486v1	https://arxiv.org/pdf/2502.05486v1.pdf	https://github.com/dutykh/EllisBronnikov	true	false	false	none
https://paperswithcode.com/paper/leveraging-allophony-in-self-supervised	Leveraging Allophony in Self-Supervised Speech Models for Atypical Pronunciation Assessment	2502.07029	https://arxiv.org/abs/2502.07029v2	https://arxiv.org/pdf/2502.07029v2.pdf	https://github.com/juice500ml/acoustic-units-for-ood	true	true	true	pytorch
https://paperswithcode.com/paper/progressive-confident-masking-attention	Progressive Confident Masking Attention Network for Audio-Visual Segmentation	2406.02345	https://arxiv.org/abs/2406.02345v2	https://arxiv.org/pdf/2406.02345v2.pdf	https://github.com/prettyplate/pcmanet	true	true	true	pytorch
https://paperswithcode.com/paper/fluorescence-detected-two-dimensional	Fluorescence-detected two-dimensional electronic spectroscopy of a single molecule	2407.09200	https://arxiv.org/abs/2407.09200v1	https://arxiv.org/pdf/2407.09200v1.pdf	https://github.com/Lippitz-Lab/PLL-on-FPGA	false	false	true	none
https://paperswithcode.com/paper/detection-friendly-nonuniformity-correction-a	Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAVTarget Detection	2504.04012	https://arxiv.org/abs/2504.04012v1	https://arxiv.org/pdf/2504.04012v1.pdf	https://github.com/IVPLaboratory/UniCD	true	true	true	none
https://paperswithcode.com/paper/cross-modal-and-uncertainty-aware	Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding	2503.16707	https://arxiv.org/abs/2503.16707v2	https://arxiv.org/pdf/2503.16707v2.pdf	https://github.com/tyroneli/cua_o3d	true	true	true	pytorch
https://paperswithcode.com/paper/litecua-computer-as-mcp-server-for-computer	LiteCUA: Computer as MCP Server for Computer-Use Agent on AIOS	2505.18829	https://arxiv.org/abs/2505.18829v1	https://arxiv.org/pdf/2505.18829v1.pdf	https://github.com/agiresearch/cerebrum	false	false	true	none
https://paperswithcode.com/paper/zero-execution-retrieval-augmented	Zero-Execution Retrieval-Augmented Configuration Tuning of Spark Applications	2503.03826	https://arxiv.org/abs/2503.03826v1	https://arxiv.org/pdf/2503.03826v1.pdf	https://github.com/layer6ai-labs/spark-retrieval-tuning	true	true	true	none
https://paperswithcode.com/paper/lightweight-and-direct-document-relevance	Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval	2504.05181	https://arxiv.org/abs/2504.05181v2	https://arxiv.org/pdf/2504.05181v2.pdf	https://github.com/kidist-amde/ddro	true	true	true	pytorch
https://paperswithcode.com/paper/direct-preference-optimization-your-language	Direct Preference Optimization: Your Language Model is Secretly a Reward Model	2305.18290	https://arxiv.org/abs/2305.18290v3	https://arxiv.org/pdf/2305.18290v3.pdf	https://github.com/kidist-amde/ddro	false	false	true	pytorch
https://paperswithcode.com/paper/190600121	Graph WaveNet for Deep Spatial-Temporal Graph Modeling	1906.00121	https://arxiv.org/abs/1906.00121v1	https://arxiv.org/pdf/1906.00121v1.pdf	https://github.com/razvanc92/enhancenet	false	false	true	pytorch
https://paperswithcode.com/paper/diffusion-convolutional-recurrent-neural	Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting	1707.01926	http://arxiv.org/abs/1707.01926v3	http://arxiv.org/pdf/1707.01926v3.pdf	https://github.com/razvanc92/enhancenet	false	false	true	pytorch
https://paperswithcode.com/paper/fecfusion-infrared-and-visible-image-fusion	FECFusion: Infrared and visible image fusion network based on fast edge convolution	null	https://www.aimspress.com/article/doi/10.3934/mbe.2023717	https://www.aimspress.com/article/doi/10.3934/mbe.2023717	https://github.com/qingchen2333/FECFusion	false	false	false	pytorch
https://paperswithcode.com/paper/rs-del-edit-distance-robustness-certificates-1	RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion	2302.01757	https://arxiv.org/abs/2302.01757v3	https://arxiv.org/pdf/2302.01757v3.pdf	https://github.com/lions-epfl/lipslev	false	false	true	pytorch
https://paperswithcode.com/paper/unveiling-implicit-table-knowledge-with	Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization	2406.12269	https://arxiv.org/abs/2406.12269v2	https://arxiv.org/pdf/2406.12269v2.pdf	https://github.com/tommyezreal/qtp	true	true	true	pytorch
https://paperswithcode.com/paper/jvmc-versatile-and-performant-variational	jVMC: Versatile and performant variational Monte Carlo leveraging automated differentiation and GPU acceleration	2108.03409	https://arxiv.org/abs/2108.03409v2	https://arxiv.org/pdf/2108.03409v2.pdf	https://github.com/markusschmitt/vmc_jax	true	true	true	jax
https://paperswithcode.com/paper/event-based-star-tracking-via-multiresolution	Event-based Star Tracking via Multiresolution Progressive Hough Transforms	1906.07866	https://arxiv.org/abs/1906.07866v2	https://arxiv.org/pdf/1906.07866v2.pdf	https://github.com/uzh-rpg/event-based_vision_resources	true	true	true	pytorch
https://paperswithcode.com/paper/once-bitten-twice-shy-a-modeling-framework	Once bitten, twice shy: A modeling framework for incorporating heterogeneous mosquito biting into transmission models	2503.10585	https://arxiv.org/abs/2503.10585v1	https://arxiv.org/pdf/2503.10585v1.pdf	https://github.com/kydahl/mosquito-bite-process-modeling	true	true	false	none
https://paperswithcode.com/paper/featsharp-your-vision-model-features-sharper	FeatSharp: Your Vision Model Features, Sharper	2502.16025	https://arxiv.org/abs/2502.16025v1	https://arxiv.org/pdf/2502.16025v1.pdf	https://github.com/nvlabs/radio	false	false	true	pytorch
https://paperswithcode.com/paper/refactorbench-evaluating-stateful-reasoning	RefactorBench: Evaluating Stateful Reasoning in Language Agents Through Code	2503.07832	https://arxiv.org/abs/2503.07832v1	https://arxiv.org/pdf/2503.07832v1.pdf	https://github.com/microsoft/RefactorBench	true	false	false	none
https://paperswithcode.com/paper/detecting-hallucinations-in-large-language-1	Detecting hallucinations in large language models using semantic entropy	null	https://www.nature.com/articles/s41586-024-07421-0	https://www.nature.com/articles/s41586-024-07421-0.pdf	https://github.com/jlko/semantic_uncertainty	false	false	false	pytorch
https://paperswithcode.com/paper/movable-antenna-enabled-ris-aided-integrated	Movable Antenna-enabled RIS-aided Integrated Sensing and Communication	2407.03228	https://arxiv.org/abs/2407.03228v2	https://arxiv.org/pdf/2407.03228v2.pdf	https://github.com/OnePieceofCakeforYou/Movable-antenna-enabled-RIS-aided-integrated-sensing-and-communication	false	false	false	none
https://paperswithcode.com/paper/efficient-alignment-of-unconditioned-action	Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in Clutter	2503.09423	https://arxiv.org/abs/2503.09423v2	https://arxiv.org/pdf/2503.09423v2.pdf	https://github.com/H-Freax/ThinkGrasp	false	false	true	pytorch
https://paperswithcode.com/paper/free-form-language-based-robotic-reasoning	Free-form language-based robotic reasoning and grasping	2503.13082	https://arxiv.org/abs/2503.13082v1	https://arxiv.org/pdf/2503.13082v1.pdf	https://github.com/H-Freax/ThinkGrasp	false	false	true	pytorch
https://paperswithcode.com/paper/affordgrasp-in-context-affordance-reasoning	AffordGrasp: In-Context Affordance Reasoning for Open-Vocabulary Task-Oriented Grasping in Clutter	2503.00778	https://arxiv.org/abs/2503.00778v1	https://arxiv.org/pdf/2503.00778v1.pdf	https://github.com/H-Freax/ThinkGrasp	false	false	true	pytorch
https://paperswithcode.com/paper/tinyvla-towards-fast-data-efficient-vision	TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation	2409.12514	https://arxiv.org/abs/2409.12514v5	https://arxiv.org/pdf/2409.12514v5.pdf	https://github.com/liyaxuanliyaxuan/TinyVLA	false	false	true	pytorch
https://paperswithcode.com/paper/neuqi-near-optimal-uniform-quantization	NeUQI: Near-Optimal Uniform Quantization Parameter Initialization	2505.17595	https://arxiv.org/abs/2505.17595v2	https://arxiv.org/pdf/2505.17595v2.pdf	https://github.com/efsotr/NeUQI	true	false	true	pytorch
https://paperswithcode.com/paper/rwkv-x-a-linear-complexity-hybrid-language	RWKV-X: A Linear Complexity Hybrid Language Model	2504.21463	https://arxiv.org/abs/2504.21463v2	https://arxiv.org/pdf/2504.21463v2.pdf	https://github.com/howard-hou/rwkv-x	true	true	false	none
https://paperswithcode.com/paper/mmhcl-multi-modal-hypergraph-contrastive	MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation	2504.16576	https://arxiv.org/abs/2504.16576v1	https://arxiv.org/pdf/2504.16576v1.pdf	https://github.com/xu107/mmhcl	true	true	true	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.

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.