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/knowledge-guided-prompt-learning-for-request	Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code Review	2410.21673	https://arxiv.org/abs/2410.21673v2	https://arxiv.org/pdf/2410.21673v2.pdf	https://github.com/wut-idea/kp-pcr	true	true	false	pytorch
https://paperswithcode.com/paper/knowledge-fusion-of-large-language-models	Knowledge Fusion of Large Language Models	2401.10491	https://arxiv.org/abs/2401.10491v2	https://arxiv.org/pdf/2401.10491v2.pdf	https://github.com/fanqiwan/fusellm	true	true	true	pytorch
https://paperswithcode.com/paper/weighted-reward-preference-optimization-for	Weighted-Reward Preference Optimization for Implicit Model Fusion	2412.03187	https://arxiv.org/abs/2412.03187v1	https://arxiv.org/pdf/2412.03187v1.pdf	https://github.com/fanqiwan/fusellm	false	false	true	pytorch
https://paperswithcode.com/paper/advancing-learnable-multi-agent-pathfinding	Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning	2506.23793	https://arxiv.org/abs/2506.23793v1	https://arxiv.org/pdf/2506.23793v1.pdf	https://github.com/Cognitive-AI-Systems/MAPF-GPT	false	false	true	pytorch
https://paperswithcode.com/paper/a-little-less-conversation-a-little-more	A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment	2410.23242	https://arxiv.org/abs/2410.23242v2	https://arxiv.org/pdf/2410.23242v2.pdf	https://github.com/kinds-of-intelligence-cfi/llm-aai	true	true	true	none
https://paperswithcode.com/paper/v2x-assisted-distributed-computing-and	V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging Scenario	2410.22987	https://arxiv.org/abs/2410.22987v1	https://arxiv.org/pdf/2410.22987v1.pdf	https://github.com/qiongwu86/v2x-assisted-distributed-computing-and-control-framework-for-connected-and-automated-vehicles	true	true	false	none
https://paperswithcode.com/paper/100k-or-100-days-trade-offs-when-pre-training	$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources	2410.23261	https://arxiv.org/abs/2410.23261v1	https://arxiv.org/pdf/2410.23261v1.pdf	https://github.com/apoorvkh/academic-pretraining	true	true	true	pytorch
https://paperswithcode.com/paper/misspecification-uncertainties-in-near	Parameter uncertainties for imperfect surrogate models in the low-noise regime	2402.01810	https://arxiv.org/abs/2402.01810v5	https://arxiv.org/pdf/2402.01810v5.pdf	https://github.com/tomswinburne/POPS-Regression	true	true	true	none
https://paperswithcode.com/paper/latent-diffusion-implicit-amplification	Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Images	2410.22830	https://arxiv.org/abs/2410.22830v1	https://arxiv.org/pdf/2410.22830v1.pdf	https://github.com/hanlinwu/E2DiffSR	true	false	false	none
https://paperswithcode.com/paper/exactly-minimax-optimal-locally	Exactly Minimax-Optimal Locally Differentially Private Sampling	2410.22699	https://arxiv.org/abs/2410.22699v1	https://arxiv.org/pdf/2410.22699v1.pdf	https://github.com/phy811/Optimal-LDP-Sampling	true	false	false	pytorch
https://paperswithcode.com/paper/statistical-quantification-of-confounding	Statistical quantification of confounding bias in predictive modelling	2111.00814	https://arxiv.org/abs/2111.00814v1	https://arxiv.org/pdf/2111.00814v1.pdf	https://github.com/spisakt/mlconfound_manuscript	true	true	true	none
https://paperswithcode.com/paper/general-identifiability-and-achievability-for	General Identifiability and Achievability for Causal Representation Learning	2310.15450	https://arxiv.org/abs/2310.15450v2	https://arxiv.org/pdf/2310.15450v2.pdf	https://github.com/bvarici/score-general-id-crl	true	true	true	pytorch
https://paperswithcode.com/paper/mle-dojo-interactive-environments-for	MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering	2505.07782	https://arxiv.org/abs/2505.07782v1	https://arxiv.org/pdf/2505.07782v1.pdf	https://github.com/MLE-Dojo/MLE-Dojo	true	false	true	none
https://paperswithcode.com/paper/neural-brain-a-neuroscience-inspired	Neural Brain: A Neuroscience-inspired Framework for Embodied Agents	2505.07634	https://arxiv.org/abs/2505.07634v2	https://arxiv.org/pdf/2505.07634v2.pdf	https://github.com/CNJianLiu/Neural-Brain-for-Embodied-Agents	true	false	true	tf
https://paperswithcode.com/paper/refact-updating-text-to-image-models-by	ReFACT: Updating Text-to-Image Models by Editing the Text Encoder	2306.00738	https://arxiv.org/abs/2306.00738v2	https://arxiv.org/pdf/2306.00738v2.pdf	https://github.com/technion-cs-nlp/refact	true	true	true	pytorch
https://paperswithcode.com/paper/can-llms-learn-by-teaching-a-preliminary	Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study	2406.14629	https://arxiv.org/abs/2406.14629v3	https://arxiv.org/pdf/2406.14629v3.pdf	https://github.com/imagination-research/lbt	true	true	true	none
https://paperswithcode.com/paper/reflexion-language-agents-with-verbal	Reflexion: Language Agents with Verbal Reinforcement Learning	2303.11366	https://arxiv.org/abs/2303.11366v4	https://arxiv.org/pdf/2303.11366v4.pdf	https://github.com/imagination-research/lbt	false	false	true	none
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/imagination-research/lbt	false	false	true	none
https://paperswithcode.com/paper/cv-cities-advancing-cross-view-geo	CV-Cities: Advancing Cross-View Geo-Localization in Global Cities	2411.12431	https://arxiv.org/abs/2411.12431v1	https://arxiv.org/pdf/2411.12431v1.pdf	https://github.com/gaoshuang98/cvcities	true	true	true	pytorch
https://paperswithcode.com/paper/the-isomorphism-problem-for-ideal-class	The isomorphism problem for ideal class monoids of numerical semigroups	2311.15265	https://arxiv.org/abs/2311.15265v2	https://arxiv.org/pdf/2311.15265v2.pdf	https://github.com/numerical-semigroups/ideal-class-monoid	true	true	true	none
https://paperswithcode.com/paper/tensor-based-synchronization-and-the-low	Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor	2409.09313	https://arxiv.org/abs/2409.09313v2	https://arxiv.org/pdf/2409.09313v2.pdf	https://github.com/dmiao153/trifocalsync	true	true	false	none
https://paperswithcode.com/paper/sugarcrepe-fixing-hackable-benchmarks-for-1	SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality	2306.14610	https://arxiv.org/abs/2306.14610v1	https://arxiv.org/pdf/2306.14610v1.pdf	https://github.com/borisdayma/clip-jax	false	false	true	jax
https://paperswithcode.com/paper/learning-to-edit-visual-programs-with-self	Learning to Edit Visual Programs with Self-Supervision	2406.02383	https://arxiv.org/abs/2406.02383v2	https://arxiv.org/pdf/2406.02383v2.pdf	https://github.com/rkjones4/vpi-edit	true	true	false	pytorch
https://paperswithcode.com/paper/adaptive-length-image-tokenization-via	Adaptive Length Image Tokenization via Recurrent Allocation	2411.02393	https://arxiv.org/abs/2411.02393v1	https://arxiv.org/pdf/2411.02393v1.pdf	https://github.com/shivamduggal4/adaptive-length-tokenizer	true	true	true	pytorch
https://paperswithcode.com/paper/mamt-4-multi-view-attention-networks-for	MamT$^4$: Multi-view Attention Networks for Mammography Cancer Classification	2411.01669	https://arxiv.org/abs/2411.01669v1	https://arxiv.org/pdf/2411.01669v1.pdf	https://github.com/ispras/mammo_crop	true	true	false	none
https://paperswithcode.com/paper/unified-speech-recognition-a-single-model-for	Unified Speech Recognition: A Single Model for Auditory, Visual, and Audiovisual Inputs	2411.02256	https://arxiv.org/abs/2411.02256v1	https://arxiv.org/pdf/2411.02256v1.pdf	https://github.com/ahaliassos/usr	true	true	false	pytorch
https://paperswithcode.com/paper/finding-influential-cores-via-normalized	Finding Influential Cores via Normalized Ricci Flows in Directed and Undirected Hypergraphs with Applications	2502.16382	https://arxiv.org/abs/2502.16382v1	https://arxiv.org/pdf/2502.16382v1.pdf	https://github.com/iamprith/Ricci-Flow-on-Hypergraphs	true	false	false	none
https://paperswithcode.com/paper/hamiltonian-simulation-based-quantum-selected	Hamiltonian simulation-based quantum-selected configuration interaction for large-scale electronic structure calculations with a quantum computer	2412.07218	https://arxiv.org/abs/2412.07218v2	https://arxiv.org/pdf/2412.07218v2.pdf	https://github.com/qiskit/qiskit-addon-sqd	true	true	true	jax
https://paperswithcode.com/paper/crepe-open-domain-question-answering-with	CREPE: Open-Domain Question Answering with False Presuppositions	2211.17257	https://arxiv.org/abs/2211.17257v1	https://arxiv.org/pdf/2211.17257v1.pdf	https://github.com/velocitycavalry/crepe	true	true	true	none
https://paperswithcode.com/paper/ev-3dod-pushing-the-temporal-boundaries-of-3d	Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event Cameras	2502.19630	https://arxiv.org/abs/2502.19630v1	https://arxiv.org/pdf/2502.19630v1.pdf	https://github.com/mickeykang16/ev3dod	true	true	false	jax
https://paperswithcode.com/paper/critic-guided-decision-transformer-for	Critic-Guided Decision Transformer for Offline Reinforcement Learning	2312.13716	https://arxiv.org/abs/2312.13716v1	https://arxiv.org/pdf/2312.13716v1.pdf	https://github.com/sharkwyf/cgdt	true	false	true	pytorch
https://paperswithcode.com/paper/newton-puiseux-analysis-for-interpretability	Newton-Puiseux Analysis for Interpretability and Calibration of Complex-Valued Neural Networks	2504.19176	https://arxiv.org/abs/2504.19176v1	https://arxiv.org/pdf/2504.19176v1.pdf	https://github.com/piotrmgs/puiseux-cvnn	true	true	true	pytorch
https://paperswithcode.com/paper/mdpe-a-multimodal-deception-dataset-with	MDPE: A Multimodal Deception Dataset with Personality and Emotional Characteristics	2407.12274	https://arxiv.org/abs/2407.12274v1	https://arxiv.org/pdf/2407.12274v1.pdf	https://github.com/cai-cong/MER25_personality	false	false	true	pytorch
https://paperswithcode.com/paper/learning-interaction-aware-3d-gaussian	Learning Interaction-aware 3D Gaussian Splatting for One-shot Hand Avatars	2410.08840	https://arxiv.org/abs/2410.08840v1	https://arxiv.org/pdf/2410.08840v1.pdf	https://github.com/xuanhuang0/guassianhand	true	true	true	jax
https://paperswithcode.com/paper/breast-tumor-classification-using	Breast Tumor Classification Using EfficientNet Deep Learning Model	2411.17870	https://arxiv.org/abs/2411.17870v1	https://arxiv.org/pdf/2411.17870v1.pdf	https://github.com/majid9418/Breast-Tumor-Classification-Histopathological	true	false	false	none
https://paperswithcode.com/paper/exo-2-growing-a-scheduling-language	Exo 2: Growing a Scheduling Language	2411.07211	https://arxiv.org/abs/2411.07211v4	https://arxiv.org/pdf/2411.07211v4.pdf	https://github.com/exo-lang/exoblas	true	true	true	none
https://paperswithcode.com/paper/optimal-reactive-operation-of-general	Optimal Reactive Operation of General Topology Supply Chain and Manufacturing Networks under Disruptions	2412.08046	https://arxiv.org/abs/2412.08046v1	https://arxiv.org/pdf/2412.08046v1.pdf	https://github.com/dovallev/supply_chain_disruptions	true	false	false	none
https://paperswithcode.com/paper/revisiting-neural-retrieval-on-accelerators	Revisiting Neural Retrieval on Accelerators	2306.04039	https://arxiv.org/abs/2306.04039v1	https://arxiv.org/pdf/2306.04039v1.pdf	https://github.com/facebookresearch/generative-recommenders	false	false	true	pytorch
https://paperswithcode.com/paper/turning-dross-into-gold-loss-is-bert4rec	Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?	2309.07602	https://arxiv.org/abs/2309.07602v1	https://arxiv.org/pdf/2309.07602v1.pdf	https://github.com/facebookresearch/generative-recommenders	false	false	true	pytorch
https://paperswithcode.com/paper/actions-speak-louder-than-words-trillion	Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations	2402.17152	https://arxiv.org/abs/2402.17152v3	https://arxiv.org/pdf/2402.17152v3.pdf	https://github.com/facebookresearch/generative-recommenders	true	true	true	pytorch
https://paperswithcode.com/paper/review-of-deep-learning-models-for-crypto	Review of deep learning models for crypto price prediction: implementation and evaluation	2405.11431	https://arxiv.org/abs/2405.11431v2	https://arxiv.org/pdf/2405.11431v2.pdf	https://github.com/sydney-machine-learning/quantiledeeplearning	false	false	true	none
https://paperswithcode.com/paper/response-estimation-and-system-identification	Response Estimation and System Identification of Dynamical Systems via Physics-Informed Neural Networks	2410.01340	https://arxiv.org/abs/2410.01340v2	https://arxiv.org/pdf/2410.01340v2.pdf	https://github.com/marcusha94/structural-dynamics-pinns	true	true	true	pytorch
https://paperswithcode.com/paper/curvature-constrained-vector-field-for-motion	Curvature-Constrained Vector Field for Motion Planning of Nonholonomic Robots	2504.02852	https://arxiv.org/abs/2504.02852v1	https://arxiv.org/pdf/2504.02852v1.pdf	https://github.com/y1kee/cvf-for-nonholonomic-motion-planning	true	true	false	none
https://paperswithcode.com/paper/meshmask-physics-based-simulations-with	MeshMask: Physics-Based Simulations with Masked Graph Neural Networks	2501.08738	https://arxiv.org/abs/2501.08738v3	https://arxiv.org/pdf/2501.08738v3.pdf	https://github.com/DonsetPG/graph-physics	true	false	true	jax
https://paperswithcode.com/paper/bot-sort-robust-associations-multi-pedestrian	BoT-SORT: Robust Associations Multi-Pedestrian Tracking	2206.14651	https://arxiv.org/abs/2206.14651v2	https://arxiv.org/pdf/2206.14651v2.pdf	https://github.com/airotau/pointpillarshailoinnoviz	false	false	true	pytorch
https://paperswithcode.com/paper/a-spectral-approach-for-quasinormal	A Spectral Approach for Quasinormal Frequencies of Noncommutative Geometry-inspired Wormholes	2504.02370	https://arxiv.org/abs/2504.02370v1	https://arxiv.org/pdf/2504.02370v1.pdf	https://github.com/dutykh/ncwh	true	true	false	none
https://paperswithcode.com/paper/towards-all-in-one-medical-image-re	Towards All-in-One Medical Image Re-Identification	2503.08173	https://arxiv.org/abs/2503.08173v1	https://arxiv.org/pdf/2503.08173v1.pdf	https://github.com/tianyuan168326/all-in-one-medreid-pytorch	true	true	false	pytorch
https://paperswithcode.com/paper/spargeattn-accurate-sparse-attention	SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference	2502.18137	https://arxiv.org/abs/2502.18137v5	https://arxiv.org/pdf/2502.18137v5.pdf	https://github.com/thu-ml/spargeattn	true	true	true	pytorch
https://paperswithcode.com/paper/multi-grid-graph-neural-networks-with-self	Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics	2409.11899	https://arxiv.org/abs/2409.11899v1	https://arxiv.org/pdf/2409.11899v1.pdf	https://github.com/DonsetPG/graph-physics	true	false	true	jax
https://paperswithcode.com/paper/learning-mesh-based-simulation-with-graph-1	Learning Mesh-Based Simulation with Graph Networks	2010.03409	https://arxiv.org/abs/2010.03409v4	https://arxiv.org/pdf/2010.03409v4.pdf	https://github.com/DonsetPG/graph-physics	false	false	true	jax
https://paperswithcode.com/paper/discrete-neural-nets-and-polymorphic-learning	Discrete neural nets and polymorphic learning	2308.00677	https://arxiv.org/abs/2308.00677v2	https://arxiv.org/pdf/2308.00677v2.pdf	https://github.com/caten2/tripods2021ua	true	true	true	none
https://paperswithcode.com/paper/subjective-visual-quality-assessment-for-high	Subjective Visual Quality Assessment for High-Fidelity Learning-Based Image Compression	2504.06301	https://arxiv.org/abs/2504.06301v2	https://arxiv.org/pdf/2504.06301v2.pdf	https://github.com/jpeg-aic/dataset-jpeg-ai-sdr25	true	true	false	none
https://paperswithcode.com/paper/pomato-marrying-pointmap-matching-with	POMATO: Marrying Pointmap Matching with Temporal Motion for Dynamic 3D Reconstruction	2504.05692	https://arxiv.org/abs/2504.05692v1	https://arxiv.org/pdf/2504.05692v1.pdf	https://github.com/wyddmw/pomato	true	true	true	none
https://paperswithcode.com/paper/correlation-of-frechet-audio-distance-with	Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependant	2403.17508	https://arxiv.org/abs/2403.17508v1	https://arxiv.org/pdf/2403.17508v1.pdf	https://github.com/YoonjinXD/kadtk	false	false	true	pytorch
https://paperswithcode.com/paper/adapting-frechet-audio-distance-for	Adapting Frechet Audio Distance for Generative Music Evaluation	2311.01616	https://arxiv.org/abs/2311.01616v2	https://arxiv.org/pdf/2311.01616v2.pdf	https://github.com/YoonjinXD/kadtk	false	false	true	pytorch
https://paperswithcode.com/paper/detox-toxic-subspace-projection-for-model	Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity	2405.13967	https://arxiv.org/abs/2405.13967v4	https://arxiv.org/pdf/2405.13967v4.pdf	https://github.com/uppaal/detox-edit	true	true	true	pytorch
https://paperswithcode.com/paper/self-detoxifying-language-models-via	Self-Detoxifying Language Models via Toxification Reversal	2310.09573	https://arxiv.org/abs/2310.09573v1	https://arxiv.org/pdf/2310.09573v1.pdf	https://github.com/uppaal/detox-edit	false	false	true	pytorch
https://paperswithcode.com/paper/the-gender-gap-pipeline-a-gender-aware	The Gender-GAP Pipeline: A Gender-Aware Polyglot Pipeline for Gender Characterisation in 55 Languages	2308.16871	https://arxiv.org/abs/2308.16871v1	https://arxiv.org/pdf/2308.16871v1.pdf	https://github.com/facebookresearch/responsiblenlp	true	true	true	none
https://paperswithcode.com/paper/i-m-sorry-to-hear-that-finding-bias-in	"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset	2205.09209	https://arxiv.org/abs/2205.09209v2	https://arxiv.org/pdf/2205.09209v2.pdf	https://github.com/facebookresearch/responsiblenlp	true	true	true	none
https://paperswithcode.com/paper/improving-model-evaluation-using-smart	Improving Model Evaluation using SMART Filtering of Benchmark Datasets	2410.20245	https://arxiv.org/abs/2410.20245v1	https://arxiv.org/pdf/2410.20245v1.pdf	https://github.com/facebookresearch/responsiblenlp	false	false	true	none
https://paperswithcode.com/paper/sparkle-a-statistical-learning-toolkit-for	Sparklen: A Statistical Learning Toolkit for High-Dimensional Hawkes Processes in Python	2502.18979	https://arxiv.org/abs/2502.18979v2	https://arxiv.org/pdf/2502.18979v2.pdf	https://github.com/romain-e-lacoste/sparklen	true	true	true	none
https://paperswithcode.com/paper/a-weak-supervision-learning-approach-towards	A Weak Supervision Learning Approach Towards an Equitable Mobility Estimation	2505.04229	https://arxiv.org/abs/2505.04229v2	https://arxiv.org/pdf/2505.04229v2.pdf	https://github.com/societal-computing/equitable_mobility_estimation	true	true	false	pytorch
https://paperswithcode.com/paper/mechanically-programming-the-cross-sectional	Mechanically Programming the Cross-Sectional Shape of Soft Growing Robotic Structures for Patient Transfer	2505.11593	https://arxiv.org/abs/2505.11593v2	https://arxiv.org/pdf/2505.11593v2.pdf	https://github.com/kentaro-barhydt/softGrowingRobotCrossSectionProgramming	true	false	false	none
https://paperswithcode.com/paper/m2oe-multimodal-collaborative-expert-peptide	M2oE: Multimodal Collaborative Expert Peptide Model	2411.15208	https://arxiv.org/abs/2411.15208v1	https://arxiv.org/pdf/2411.15208v1.pdf	https://github.com/goldzzmj/M2oE	true	false	false	pytorch
https://paperswithcode.com/paper/step-video-t2v-technical-report-the-practice	Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model	2502.10248	https://arxiv.org/abs/2502.10248v1	https://arxiv.org/pdf/2502.10248v1.pdf	https://github.com/stepfun-ai/step-video-ti2v	false	false	true	pytorch
https://paperswithcode.com/paper/retworkx-a-high-performance-graph-library-for	rustworkx: A High-Performance Graph Library for Python	2110.15221	https://arxiv.org/abs/2110.15221v4	https://arxiv.org/pdf/2110.15221v4.pdf	https://github.com/qiskit/rustworkx	true	true	true	none
https://paperswithcode.com/paper/spectral-density-estimation-for-random-fields	Spectral Density Estimation for Random Fields via Periodic Embeddings	1710.08978	https://arxiv.org/abs/1710.08978v2	https://arxiv.org/pdf/1710.08978v2.pdf	https://github.com/joeguinness/npspec	false	false	true	none
https://paperswithcode.com/paper/image-to-image-mlp-mixer-for-image-1	Image-to-Image MLP-mixer for Image Reconstruction	2202.02018	https://arxiv.org/abs/2202.02018v1	https://arxiv.org/pdf/2202.02018v1.pdf	https://github.com/mli-lab/imaging_mlps	true	true	true	pytorch
https://paperswithcode.com/paper/distributed-node-covering-optimization-for	Distributed Node Covering Optimization for Large Scale Networks and Its Application on Social Advertising	2211.08738	https://arxiv.org/abs/2211.08738v1	https://arxiv.org/pdf/2211.08738v1.pdf	https://github.com/pobooo/pobooo.github.io	false	false	true	none
https://paperswithcode.com/paper/friend-recall-in-online-games-via-pre	Friend Ranking in Online Games via Pre-training Edge Transformers	2302.10043	https://arxiv.org/abs/2302.10043v4	https://arxiv.org/pdf/2302.10043v4.pdf	https://github.com/pobooo/pobooo.github.io	false	false	true	none
https://paperswithcode.com/paper/numerical-relativity-using-a-generalized	Numerical Relativity Using a Generalized Harmonic Decomposition	gr-qc/0407110	https://arxiv.org/abs/gr-qc/0407110v2	https://arxiv.org/pdf/gr-qc/0407110v2.pdf	https://github.com/alejandroc137/ScalarWaveEvolution	false	false	true	tf
https://paperswithcode.com/paper/comprehensive-analysis-of-spherical-bubble	Comprehensive analysis of spherical bubble oscillations and shock wave emission in laser-induced cavitation	2109.04372	https://arxiv.org/abs/2109.04372v1	https://arxiv.org/pdf/2109.04372v1.pdf	https://github.com/X-X-Liang/LIBDAR	true	false	false	none
https://paperswithcode.com/paper/expressive-higher-order-link-prediction	Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking	2402.11339	https://arxiv.org/abs/2402.11339v2	https://arxiv.org/pdf/2402.11339v2.pdf	https://github.com/simonzhang00/hypergraphsymmetrybreaking	true	true	false	pytorch
https://paperswithcode.com/paper/focus-towards-universal-foreground	FOCUS: Towards Universal Foreground Segmentation	2501.05238	https://arxiv.org/abs/2501.05238v1	https://arxiv.org/pdf/2501.05238v1.pdf	https://github.com/geshang777/FOCUS	true	false	true	pytorch
https://paperswithcode.com/paper/cevit-copula-enhanced-vision-transformer-in	CeViT: Copula-Enhanced Vision Transformer in multi-task learning and bi-group image covariates with an application to myopia screening	2501.06540	https://arxiv.org/abs/2501.06540v1	https://arxiv.org/pdf/2501.06540v1.pdf	https://github.com/silent618/cevit	true	true	false	pytorch
https://paperswithcode.com/paper/analytical-and-numerical-solutions-to-the	Analytical and numerical solutions to the three-phase Stefan problem with simultaneous occurrences of melting, solidification, boiling, and condensation phenomena	2503.06360	https://arxiv.org/abs/2503.06360v1	https://arxiv.org/pdf/2503.06360v1.pdf	https://github.com/amneetb/ThreePhaseStefan	true	false	false	none
https://paperswithcode.com/paper/intra-class-patch-swap-for-self-distillation	Intra-class Patch Swap for Self-Distillation	2505.14124	https://arxiv.org/abs/2505.14124v1	https://arxiv.org/pdf/2505.14124v1.pdf	https://github.com/hchoi71/intra-class-patch-swap	true	true	false	none
https://paperswithcode.com/paper/automatic-determination-of-quasicrystalline	Automatic determination of quasicrystalline patterns from microscopy images	2503.05472	https://arxiv.org/abs/2503.05472v1	https://arxiv.org/pdf/2503.05472v1.pdf	https://github.com/QuantumMaterialsModelling/AiSurf-Automated-Identification-of-Surface-images	true	false	true	none
https://paperswithcode.com/paper/domain-knowledge-informed-self-supervised	Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment	2202.14019	https://arxiv.org/abs/2202.14019v2	https://arxiv.org/pdf/2202.14019v2.pdf	https://github.com/ParitoshParmar/Fitness-AQA	true	true	true	pytorch
https://paperswithcode.com/paper/structured-unrestricted-rank-matrices-for	Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning	2406.17740	https://arxiv.org/abs/2406.17740v3	https://arxiv.org/pdf/2406.17740v3.pdf	https://github.com/arijitthegame/structured-matrices-peft	true	true	false	pytorch
https://paperswithcode.com/paper/security-properties-for-open-source-hardware	Security Properties for Open-Source Hardware Designs	2412.08769	https://arxiv.org/abs/2412.08769v2	https://arxiv.org/pdf/2412.08769v2.pdf	https://github.com/HWSec-UNC/verification-benchmarks	true	false	true	none
https://paperswithcode.com/paper/anisotropic-induced-polarization-modeling	Anisotropic induced polarization modeling with neural networks and effective medium theory	2402.11313	https://arxiv.org/abs/2402.11313v1	https://arxiv.org/pdf/2402.11313v1.pdf	https://github.com/clberube/gemtip-ml	true	false	true	pytorch
https://paperswithcode.com/paper/escaping-spurious-local-minima-of-low-rank	Accelerating nuclear-norm regularized low-rank matrix optimization through Burer-Monteiro decomposition	2204.14067	https://arxiv.org/abs/2204.14067v3	https://arxiv.org/pdf/2204.14067v3.pdf	https://github.com/leepei/bm-global	true	true	true	none
https://paperswithcode.com/paper/opportunities-and-risks-of-llms-for-scalable	Opportunities and Risks of LLMs for Scalable Deliberation with Polis	2306.11932	https://arxiv.org/abs/2306.11932v1	https://arxiv.org/pdf/2306.11932v1.pdf	https://github.com/compdemocracy/polis	true	false	false	none
https://paperswithcode.com/paper/decoding-with-limited-teacher-supervision	Decoding with Limited Teacher Supervision Requires Understanding When to Trust the Teacher	2406.18002	https://arxiv.org/abs/2406.18002v2	https://arxiv.org/pdf/2406.18002v2.pdf	https://github.com/hj-ok/declimsup	true	true	true	pytorch
https://paperswithcode.com/paper/mfm-da-instance-aware-adaptor-and	MFM-DA: Instance-Aware Adaptor and Hierarchical Alignment for Efficient Domain Adaptation in Medical Foundation Models	2503.00802	https://arxiv.org/abs/2503.00802v1	https://arxiv.org/pdf/2503.00802v1.pdf	https://github.com/HopkinsKwong/MFM-DA	true	false	true	pytorch
https://paperswithcode.com/paper/improve-robustness-of-eye-disease-detection	Enhance Eye Disease Detection using Learnable Probabilistic Discrete Latents in Machine Learning Architectures	2402.16865	https://arxiv.org/abs/2402.16865v3	https://arxiv.org/pdf/2402.16865v3.pdf	https://github.com/anirudhprabhakaran3/gflowout_on_eye_images	true	true	true	pytorch
https://paperswithcode.com/paper/multi-level-optimal-transport-for-universal	Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models	2412.14528	https://arxiv.org/abs/2412.14528v2	https://arxiv.org/pdf/2412.14528v2.pdf	https://github.com/2018cx/multi-level-ot	true	true	false	pytorch
https://paperswithcode.com/paper/the-law-of-the-unconscious-contrastive	The "Law" of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities	2501.11326	https://arxiv.org/abs/2501.11326v1	https://arxiv.org/pdf/2501.11326v1.pdf	https://github.com/yongweiche/unconsciouscontrastivelearner	true	true	false	pytorch
https://paperswithcode.com/paper/sageattention2-technical-report-accurate-4	SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization	2411.10958	https://arxiv.org/abs/2411.10958v6	https://arxiv.org/pdf/2411.10958v6.pdf	https://github.com/thu-ml/spargeattn	false	false	true	pytorch
https://paperswithcode.com/paper/multi-output-conformal-regression-a-unified	A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression	2501.10533	https://arxiv.org/abs/2501.10533v2	https://arxiv.org/pdf/2501.10533v2.pdf	https://github.com/vekteur/multi-output-conformal-regression	true	true	true	pytorch
https://paperswithcode.com/paper/accretion-and-ablation-in-deformable-solids	Accretion and Ablation in Deformable Solids using an Eulerian Formulation: A Finite Deformation Numerical Method	2502.16348	https://arxiv.org/abs/2502.16348v1	https://arxiv.org/pdf/2502.16348v1.pdf	https://github.com/Kiana-Naghibzadeh/SurfaceGrowth	true	false	false	none
https://paperswithcode.com/paper/collaborative-evaluation-exploring-the	Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks	2310.19740	https://arxiv.org/abs/2310.19740v2	https://arxiv.org/pdf/2310.19740v2.pdf	https://github.com/qtli/coeval	true	true	false	pytorch
https://paperswithcode.com/paper/echodfkd-data-free-knowledge-distillation-for	EchoDFKD: Data-Free Knowledge Distillation for Cardiac Ultrasound Segmentation using Synthetic Data	2409.07566	https://arxiv.org/abs/2409.07566v2	https://arxiv.org/pdf/2409.07566v2.pdf	https://github.com/gregoirepetit/echodfkd	true	true	false	pytorch
https://paperswithcode.com/paper/personax-a-recommendation-agent-oriented-user	PersonaX: A Recommendation Agent Oriented User Modeling Framework for Long Behavior Sequence	2503.02398	https://arxiv.org/abs/2503.02398v1	https://arxiv.org/pdf/2503.02398v1.pdf	https://github.com/ancientshi/personax	true	true	false	pytorch
https://paperswithcode.com/paper/large-angle-convergent-beam-electron	Large-Angle Convergent-Beam Electron Diffraction Patterns via Conditional Generative Adversarial Networks	2503.02852	https://arxiv.org/abs/2503.02852v2	https://arxiv.org/pdf/2503.02852v2.pdf	https://github.com/wephy/ai-diffraction	true	true	false	pytorch
https://paperswithcode.com/paper/towards-detecting-prompt-knowledge-gaps-for	Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution	2501.11709	https://arxiv.org/abs/2501.11709v3	https://arxiv.org/pdf/2501.11709v3.pdf	https://github.com/soar-lab/prompt-knowledge-gap	true	true	false	none
https://paperswithcode.com/paper/proportional-effect-models-for-continuous	A critical evaluation of longitudinal proportional effect models	2502.00214	https://arxiv.org/abs/2502.00214v3	https://arxiv.org/pdf/2502.00214v3.pdf	https://github.com/mcdonohue/propeffects	true	true	false	none
https://paperswithcode.com/paper/cocoevo-co-evolution-of-programs-and-test	CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation	2502.10802	https://arxiv.org/abs/2502.10802v1	https://arxiv.org/pdf/2502.10802v1.pdf	https://github.com/lbaf23/llm-cocoevo	false	false	false	none
https://paperswithcode.com/paper/variational-diffusion-posterior-sampling-with	Variational Diffusion Posterior Sampling with Midpoint Guidance	2410.09945	https://arxiv.org/abs/2410.09945v2	https://arxiv.org/pdf/2410.09945v2.pdf	https://github.com/yazidjanati/mgps	true	true	false	jax

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.