arxiv_id string | pwc_url string | status int64 | found bool | pwc_id string | title string | url_abs string | repositories list | project_pages list | hf_models list | hf_datasets list | hf_spaces list |
|---|---|---|---|---|---|---|---|---|---|---|---|
2506.10801 | https://paperswithcode.co/api/v1/papers/arxiv/2506.10801?include_resources=true | 200 | true | 86201 | Dense Associative Memory with Epanechnikov Energy | https://arxiv.org/abs/2506.10801 | [] | [] | [] | [] | [] |
2510.03993 | https://paperswithcode.co/api/v1/papers/arxiv/2510.03993?include_resources=true | 200 | true | 86825 | Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning | https://arxiv.org/abs/2510.03993 | [
{
"url": "https://github.com/yaxinhou/cpg",
"owner": "yaxinhou",
"name": "cpg",
"stars": 8,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2604.20511 | https://paperswithcode.co/api/v1/papers/arxiv/2604.20511?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.14521 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14521?include_resources=true | 200 | true | 49189 | Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling | https://arxiv.org/abs/2505.14521v2 | [] | [
{
"url": "https://lizhihao6.github.io/Sparc3D/",
"is_official": true
}
] | [] | [] | [] |
2506.00838 | https://paperswithcode.co/api/v1/papers/arxiv/2506.00838?include_resources=true | 200 | true | 86276 | Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise | https://arxiv.org/abs/2506.00838 | [] | [] | [] | [] | [] |
2510.14623 | https://paperswithcode.co/api/v1/papers/arxiv/2510.14623?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.01608 | https://paperswithcode.co/api/v1/papers/arxiv/2510.01608?include_resources=true | 200 | true | 86240 | NPN: Non-Linear Projections of the Null Space for Imaging Inverse Problems | https://arxiv.org/abs/2510.01608 | [] | [] | [] | [] | [] |
2505.21795 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21795?include_resources=true | 200 | true | 49977 | SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation | https://arxiv.org/abs/2505.21795 | [
{
"url": "https://github.com/claudiacuttano/sansa",
"owner": "ClaudiaCuttano",
"name": "SANSA",
"stars": 169,
"is_official": true,
"source": "links_json"
}
] | [
{
"url": "https://claudiacuttano.github.io/SANSA/",
"is_official": true
}
] | [] | [] | [] |
2504.07934 | https://paperswithcode.co/api/v1/papers/arxiv/2504.07934?include_resources=true | 200 | true | 47514 | SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement | https://arxiv.org/abs/2504.07934 | [
{
"url": "https://github.com/si0wang/thinklite-vl",
"owner": "si0wang",
"name": "ThinkLite-VL",
"stars": 105,
"is_official": true,
"source": "links_json"
},
{
"url": "https://github.com/si0wang/vicrit",
"owner": "si0wang",
"name": "ViCrit",
"stars": 24,
"is_official":... | [
{
"url": "https://si0wang.github.io/;",
"is_official": true
}
] | [] | [] | [] |
2506.00764 | https://paperswithcode.co/api/v1/papers/arxiv/2506.00764?include_resources=true | 200 | true | 86609 | Learning Juntas under Markov Random Fields | https://arxiv.org/abs/2506.00764 | [] | [] | [] | [] | [] |
2501.02625 | https://paperswithcode.co/api/v1/papers/arxiv/2501.02625?include_resources=true | 200 | true | 42497 | HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs | https://arxiv.org/abs/2501.02625v2 | [
{
"url": "https://github.com/ist-daslab/halo",
"owner": "IST-DASLab",
"name": "HALO",
"stars": 29,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2505.21887 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21887?include_resources=true | 200 | true | 49981 | SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem | https://arxiv.org/abs/2505.21887v2 | [
{
"url": "https://github.com/yehias21/vrp-benchmarks",
"owner": "yehias21",
"name": "vrp-benchmarks",
"stars": 7,
"is_official": true,
"source": "links_json"
}
] | [
{
"url": "https://huggingface.co/spaces/ahmedheakl/SVRP-leaderboard",
"is_official": true
}
] | [] | [] | [] |
2506.02263 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02263?include_resources=true | 200 | true | 86772 | Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder | https://arxiv.org/abs/2506.02263 | [] | [] | [] | [] | [] |
2505.10475 | https://paperswithcode.co/api/v1/papers/arxiv/2505.10475?include_resources=true | 200 | true | 48777 | Parallel Scaling Law for Language Models | https://arxiv.org/abs/2505.10475 | [
{
"url": "https://github.com/qwenlm/parscale",
"owner": "QwenLM",
"name": "ParScale",
"stars": 463,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2506.05414 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05414?include_resources=true | 200 | true | 50666 | SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing | https://arxiv.org/abs/2506.05414 | [] | [
{
"url": "https://zijuncui02.github.io/SAVVY/",
"is_official": true
}
] | [] | [] | [] |
2509.21100 | https://paperswithcode.co/api/v1/papers/arxiv/2509.21100?include_resources=true | 200 | true | 67806 | VideoChat-R1.5: Visual Test-Time Scaling to Reinforce Multimodal
Reasoning by Iterative Perception | https://arxiv.org/abs/2509.21100 | [] | [] | [] | [] | [] |
2512.02161 | https://paperswithcode.co/api/v1/papers/arxiv/2512.02161?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.17391 | https://paperswithcode.co/api/v1/papers/arxiv/2510.17391?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.15034 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15034?include_resources=true | 200 | true | 49249 | RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning | https://arxiv.org/abs/2505.15034 | [
{
"url": "https://github.com/kaiwenzha/rl-tango",
"owner": "kaiwenzha",
"name": "rl-tango",
"stars": 46,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2510.07646 | https://paperswithcode.co/api/v1/papers/arxiv/2510.07646?include_resources=true | 200 | true | 87009 | Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference | https://arxiv.org/abs/2510.07646 | [] | [] | [] | [] | [] |
2410.15800 | https://paperswithcode.co/api/v1/papers/arxiv/2410.15800?include_resources=true | 200 | true | 86136 | On the VC dimension of deep group convolutional neural networks | https://arxiv.org/abs/2410.15800 | [] | [] | [] | [] | [] |
2502.02770 | https://paperswithcode.co/api/v1/papers/arxiv/2502.02770?include_resources=true | 200 | true | 43681 | Twilight: Adaptive Attention Sparsity with Hierarchical Top-$p$ Pruning | https://arxiv.org/abs/2502.02770v2 | [] | [] | [] | [] | [] |
2510.02302 | https://paperswithcode.co/api/v1/papers/arxiv/2510.02302?include_resources=true | 200 | true | 87260 | Knowledge Distillation Detection for Open-weights Models | https://arxiv.org/abs/2510.02302 | [
{
"url": "https://github.com/shqii1j/distillation_detection",
"owner": "shqii1j",
"name": "distillation_detection",
"stars": 4,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2506.16396 | https://paperswithcode.co/api/v1/papers/arxiv/2506.16396?include_resources=true | 200 | true | 86188 | GoalLadder: Incremental Goal Discovery with Vision-Language Models | https://arxiv.org/abs/2506.16396 | [] | [] | [] | [] | [] |
2510.26997 | https://paperswithcode.co/api/v1/papers/arxiv/2510.26997?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.14562 | https://paperswithcode.co/api/v1/papers/arxiv/2510.14562?include_resources=true | 200 | true | 66315 | Redundancy-Aware Test-Time Graph Out-of-Distribution Detection | https://arxiv.org/abs/2510.14562 | [] | [] | [] | [] | [] |
2505.11123 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11123?include_resources=true | 200 | true | 85762 | Conditioning Matters: Training Diffusion Policies is Faster Than You Think | https://arxiv.org/abs/2505.11123 | [] | [] | [] | [] | [] |
2506.07619 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07619?include_resources=true | 200 | true | 72134 | The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning | https://arxiv.org/abs/2506.07619 | [] | [] | [] | [] | [] |
2505.13893 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13893?include_resources=true | 200 | true | 49104 | InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion | https://arxiv.org/abs/2505.13893 | [
{
"url": "https://github.com/reallm-labs/infigfusion",
"owner": "reallm-labs",
"name": "infigfusion",
"stars": 2,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2505.12805 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12805?include_resources=true | 200 | true | 48999 | FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA | https://arxiv.org/abs/2505.12805 | [
{
"url": "https://github.com/seanie12/fed-svd",
"owner": "seanie12",
"name": "fed-svd",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2505.19154 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19154?include_resources=true | 200 | true | 85898 | FHGS: Feature-Homogenized Gaussian Splatting | https://arxiv.org/abs/2505.19154 | [] | [
{
"url": "https://fhgs.cuastro.org/",
"is_official": true
}
] | [] | [] | [] |
2502.01755 | https://paperswithcode.co/api/v1/papers/arxiv/2502.01755?include_resources=true | 200 | true | 86653 | Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA | https://arxiv.org/abs/2502.01755 | [] | [] | [] | [] | [] |
2510.15383 | https://paperswithcode.co/api/v1/papers/arxiv/2510.15383?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2504.21776 | https://paperswithcode.co/api/v1/papers/arxiv/2504.21776?include_resources=true | 200 | true | 48274 | WebThinker: Empowering Large Reasoning Models with Deep Research Capability | https://arxiv.org/abs/2504.21776 | [
{
"url": "https://github.com/sunnynexus/webthinker",
"owner": "sunnynexus",
"name": "webthinker",
"stars": 1374,
"is_official": true,
"source": "links_json"
},
{
"url": "https://github.com/ruc-nlpir/webthinker",
"owner": "RUC-NLPIR",
"name": "WebThinker",
"stars": 1374,
... | [
{
"url": "https://foremost-beechnut-8ed.notion.site/WebThinker-Empowering-Large-Reasoning-Models-with-Deep-Research-Capability-d13158a27d924a4b9df7f9ab94066b64",
"is_official": true
}
] | [] | [] | [] |
2505.14595 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14595?include_resources=true | 200 | true | 72922 | Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers | https://arxiv.org/abs/2505.14595 | [
{
"url": "https://github.com/phi-rom/PhiROM",
"owner": "phi-rom",
"name": "PhiROM",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://phi-rom.github.io",
"is_official": true
}
] | [] | [] | [] |
2504.11558 | https://paperswithcode.co/api/v1/papers/arxiv/2504.11558?include_resources=true | 200 | true | 85705 | Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism | https://arxiv.org/abs/2504.11558 | [] | [] | [] | [] | [] |
2505.16985 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16985?include_resources=true | 200 | true | 49474 | Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation | https://arxiv.org/abs/2505.16985 | [
{
"url": "https://github.com/mona4399/featuremixing",
"owner": "mona4399",
"name": "FeatureMixing",
"stars": 10,
"is_official": true,
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},
{
"url": "https://github.com/donghao51/multiood",
"owner": "donghao51",
"name": "multiood",
"stars": 68,
"is... | [] | [] | [] | [] |
2506.02938 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02938?include_resources=true | 200 | true | 86895 | MIND: Material Interface Generation from UDFs for Non-Manifold Surface Reconstruction | https://arxiv.org/abs/2506.02938 | [] | [] | [] | [] | [] |
2412.03671 | https://paperswithcode.co/api/v1/papers/arxiv/2412.03671?include_resources=true | 200 | true | 86964 | Tight Lower Bounds and Improved Convergence in Performative Prediction | https://arxiv.org/abs/2412.03671 | [] | [] | [] | [] | [] |
2505.11152 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11152?include_resources=true | 200 | true | 48840 | Learning Dense Hand Contact Estimation from Imbalanced Data | https://arxiv.org/abs/2505.11152 | [
{
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"owner": "dqj5182",
"name": "HACO_RELEASE",
"stars": 35,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://haco-release.github.io/",
"is_official": true
}
] | [] | [] | [] |
2505.16533 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16533?include_resources=true | 200 | true | 85928 | Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction | https://arxiv.org/abs/2505.16533 | [] | [] | [] | [] | [] |
2505.09022 | https://paperswithcode.co/api/v1/papers/arxiv/2505.09022?include_resources=true | 200 | true | 87330 | Block-Biased Mamba for Long-Range Sequence Processing | https://arxiv.org/abs/2505.09022 | [] | [] | [] | [] | [] |
2506.06677 | https://paperswithcode.co/api/v1/papers/arxiv/2506.06677?include_resources=true | 200 | true | 72183 | RoboCerebra: A Large-scale Benchmark for Long-horizon Robotic
Manipulation Evaluation | https://arxiv.org/abs/2506.06677 | [] | [] | [] | [] | [] |
2410.01623 | https://paperswithcode.co/api/v1/papers/arxiv/2410.01623?include_resources=true | 200 | true | 37670 | Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint? | https://arxiv.org/abs/2410.01623v2 | [
{
"url": "https://github.com/xichen-fy/fira",
"owner": "xichen-fy",
"name": "fira",
"stars": 119,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2505.21347 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21347?include_resources=true | 200 | true | 72639 | OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image Models | https://arxiv.org/abs/2505.21347 | [] | [] | [] | [] | [] |
2509.14722 | https://paperswithcode.co/api/v1/papers/arxiv/2509.14722?include_resources=true | 200 | true | 86632 | Towards Pre-trained Graph Condensation via Optimal Transport | https://arxiv.org/abs/2509.14722 | [] | [] | [] | [] | [] |
2505.22648 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22648?include_resources=true | 200 | true | 50026 | WebDancer: Towards Autonomous Information Seeking Agency | https://arxiv.org/abs/2505.22648 | [
{
"url": "https://github.com/alibaba-nlp/deepresearch",
"owner": "Alibaba-NLP",
"name": "DeepResearch",
"stars": 18825,
"is_official": true,
"source": "ai_extraction"
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{
"url": "https://github.com/alibaba-nlp/webagent",
"owner": "Alibaba-NLP",
"name": "WebAgent",
"stars... | [] | [] | [] | [] |
2506.06276 | https://paperswithcode.co/api/v1/papers/arxiv/2506.06276?include_resources=true | 200 | true | 50717 | STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis | https://arxiv.org/abs/2506.06276 | [] | [] | [] | [] | [] |
2512.00308 | https://paperswithcode.co/api/v1/papers/arxiv/2512.00308?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.01208 | https://paperswithcode.co/api/v1/papers/arxiv/2506.01208?include_resources=true | 200 | true | 86252 | Multiresolution Analysis and Statistical Thresholding on Dynamic Networks | https://arxiv.org/abs/2506.01208 | [] | [] | [] | [] | [] |
2505.11029 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11029?include_resources=true | 200 | true | 87117 | Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere | https://arxiv.org/abs/2505.11029 | [] | [] | [] | [] | [] |
2505.20834 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20834?include_resources=true | 200 | true | 86162 | Fully Spiking Neural Networks for Unified Frame-Event Object Tracking | https://arxiv.org/abs/2505.20834 | [] | [] | [] | [] | [] |
2510.21412 | https://paperswithcode.co/api/v1/papers/arxiv/2510.21412?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.05064 | https://paperswithcode.co/api/v1/papers/arxiv/2511.05064?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.00521 | https://paperswithcode.co/api/v1/papers/arxiv/2511.00521?include_resources=true | 200 | true | 65540 | Reasoning Planning for Language Models | https://arxiv.org/abs/2511.00521 | [] | [] | [] | [] | [] |
2501.15228 | https://paperswithcode.co/api/v1/papers/arxiv/2501.15228?include_resources=true | 200 | true | 43245 | Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning | https://arxiv.org/abs/2501.15228 | [
{
"url": "https://github.com/chenyiqun/mmoa-rag",
"owner": "chenyiqun",
"name": "MMOA-RAG",
"stars": 94,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2506.16736 | https://paperswithcode.co/api/v1/papers/arxiv/2506.16736?include_resources=true | 200 | true | 85766 | Optimism Without Regularization: Constant Regret in Zero-Sum Games | https://arxiv.org/abs/2506.16736 | [] | [] | [] | [] | [] |
2501.01999 | https://paperswithcode.co/api/v1/papers/arxiv/2501.01999?include_resources=true | 200 | true | 86249 | Probing Equivariance and Symmetry Breaking in Convolutional Networks | https://arxiv.org/abs/2501.01999 | [] | [] | [] | [] | [] |
2507.03298 | https://paperswithcode.co/api/v1/papers/arxiv/2507.03298?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.02043 | https://paperswithcode.co/api/v1/papers/arxiv/2503.02043?include_resources=true | 200 | true | 86061 | Constrained Linear Thompson Sampling | https://arxiv.org/abs/2503.02043 | [] | [] | [] | [] | [] |
2506.10272 | https://paperswithcode.co/api/v1/papers/arxiv/2506.10272?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.05465 | https://paperswithcode.co/api/v1/papers/arxiv/2505.05465?include_resources=true | 200 | true | 48540 | ComPO: Preference Alignment via Comparison Oracles | https://arxiv.org/abs/2505.05465 | [
{
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"owner": "PeterLauLukChen",
"name": "ComparisonPO",
"stars": 0,
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"source": "hf_api"
}
] | [] | [] | [] | [] |
2505.20241 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20241?include_resources=true | 200 | true | 49837 | DreamPRM: Domain-Reweighted Process Reward Model for Multimodal Reasoning | https://arxiv.org/abs/2505.20241 | [
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"owner": "coder-qicao",
"name": "dreamprm",
"stars": 25,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2511.01385 | https://paperswithcode.co/api/v1/papers/arxiv/2511.01385?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.24693 | https://paperswithcode.co/api/v1/papers/arxiv/2509.24693?include_resources=true | 200 | true | 67458 | Brain Harmony: A Multimodal Foundation Model Unifying Morphology and Function into 1D Tokens | https://arxiv.org/abs/2509.24693 | [] | [] | [] | [] | [] |
2510.18526 | https://paperswithcode.co/api/v1/papers/arxiv/2510.18526?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2512.05119 | https://paperswithcode.co/api/v1/papers/arxiv/2512.05119?include_resources=true | 200 | true | 66609 | RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering | https://arxiv.org/abs/2512.05119 | [] | [] | [] | [] | [] |
2507.09252 | https://paperswithcode.co/api/v1/papers/arxiv/2507.09252?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.16446 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16446?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.19040 | https://paperswithcode.co/api/v1/papers/arxiv/2510.19040?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.01360 | https://paperswithcode.co/api/v1/papers/arxiv/2506.01360?include_resources=true | 200 | true | 72412 | RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of
Relational Databases | https://arxiv.org/abs/2506.01360 | [
{
"url": "https://github.com/chlehdwon/RDB2G-Bench",
"owner": "chlehdwon",
"name": "RDB2G-Bench",
"stars": 0,
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"source": "hf_api"
}
] | [] | [] | [] | [] |
2510.21520 | https://paperswithcode.co/api/v1/papers/arxiv/2510.21520?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.20583 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20583?include_resources=true | 200 | true | 85926 | Balancing Performance and Costs in Best Arm Identification | https://arxiv.org/abs/2505.20583 | [] | [] | [] | [] | [] |
2505.12473 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12473?include_resources=true | 200 | true | 86329 | Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables | https://arxiv.org/abs/2505.12473 | [] | [] | [] | [] | [] |
2411.17761 | https://paperswithcode.co/api/v1/papers/arxiv/2411.17761?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.07500 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07500?include_resources=true | 200 | true | 72141 | Mind the Gap: Removing the Discretization Gap in Differentiable Logic
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2506.24018 | https://paperswithcode.co/api/v1/papers/arxiv/2506.24018?include_resources=true | 200 | true | 85947 | Bridging Theory and Practice in Link Representation with Graph Neural Networks | https://arxiv.org/abs/2506.24018 | [] | [] | [] | [] | [] |
2507.11855 | https://paperswithcode.co/api/v1/papers/arxiv/2507.11855?include_resources=true | 200 | true | 86390 | OrdShap: Feature Position Importance for Sequential Black-Box Models | https://arxiv.org/abs/2507.11855 | [] | [] | [] | [] | [] |
2507.16242 | https://paperswithcode.co/api/v1/papers/arxiv/2507.16242?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2504.20571 | https://paperswithcode.co/api/v1/papers/arxiv/2504.20571?include_resources=true | 200 | true | 48220 | Reinforcement Learning for Reasoning in Large Language Models with One Training Example | https://arxiv.org/abs/2504.20571 | [
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2511.06356 | https://paperswithcode.co/api/v1/papers/arxiv/2511.06356?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.02305 | https://paperswithcode.co/api/v1/papers/arxiv/2510.02305?include_resources=true | 200 | true | 86277 | Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive | https://arxiv.org/abs/2510.02305 | [] | [] | [] | [] | [] |
2408.08533 | https://paperswithcode.co/api/v1/papers/arxiv/2408.08533?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.06857 | https://paperswithcode.co/api/v1/papers/arxiv/2502.06857?include_resources=true | 200 | true | 43973 | Gemstones: A Model Suite for Multi-Faceted Scaling Laws | https://arxiv.org/abs/2502.06857 | [
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2505.24238 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24238?include_resources=true | 200 | true | 50213 | MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM | https://arxiv.org/abs/2505.24238v2 | [] | [] | [] | [] | [] |
2511.05245 | https://paperswithcode.co/api/v1/papers/arxiv/2511.05245?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.09816 | https://paperswithcode.co/api/v1/papers/arxiv/2505.09816?include_resources=true | 200 | true | 85829 | Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks | https://arxiv.org/abs/2505.09816 | [] | [] | [] | [] | [] |
2510.18491 | https://paperswithcode.co/api/v1/papers/arxiv/2510.18491?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.22331 | https://paperswithcode.co/api/v1/papers/arxiv/2506.22331?include_resources=true | 200 | true | 87063 | Less Greedy Equivalence Search | https://arxiv.org/abs/2506.22331 | [
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2510.19002 | https://paperswithcode.co/api/v1/papers/arxiv/2510.19002?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.07746 | https://paperswithcode.co/api/v1/papers/arxiv/2502.07746?include_resources=true | 200 | true | 74745 | HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data | https://arxiv.org/abs/2502.07746 | [] | [] | [] | [] | [] |
2510.02216 | https://paperswithcode.co/api/v1/papers/arxiv/2510.02216?include_resources=true | 200 | true | 86416 | Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification | https://arxiv.org/abs/2510.02216 | [] | [] | [] | [] | [] |
2502.09496 | https://paperswithcode.co/api/v1/papers/arxiv/2502.09496?include_resources=true | 200 | true | 87162 | On Agnostic PAC Learning in the Small Error Regime | https://arxiv.org/abs/2502.09496 | [] | [] | [] | [] | [] |
2510.20733 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20733?include_resources=true | 200 | true | 53791 | Thought Communication in Multiagent Collaboration | https://arxiv.org/abs/2510.20733 | [] | [] | [] | [] | [] |
2505.14009 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14009?include_resources=true | 200 | true | 85896 | Activation-Guided Consensus Merging for Large Language Models | https://arxiv.org/abs/2505.14009 | [] | [] | [] | [] | [] |
2508.02546 | https://paperswithcode.co/api/v1/papers/arxiv/2508.02546?include_resources=true | 200 | true | 70258 | What are you sinking? A geometric approach on attention sink | https://arxiv.org/abs/2508.02546 | [] | [] | [] | [] | [] |
2505.11323 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11323?include_resources=true | 200 | true | 86490 | Convergence Rates of Constrained Expected Improvement | https://arxiv.org/abs/2505.11323 | [] | [] | [] | [] | [] |
2503.11187 | https://paperswithcode.co/api/v1/papers/arxiv/2503.11187?include_resources=true | 200 | true | 46129 | FastVID: Dynamic Density Pruning for Fast Video Large Language Models | https://arxiv.org/abs/2503.11187 | [
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2505.11196 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11196?include_resources=true | 200 | true | 48843 | DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling | https://arxiv.org/abs/2505.11196 | [
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2406.01899 | https://paperswithcode.co/api/v1/papers/arxiv/2406.01899?include_resources=true | 200 | true | 86784 | Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models | https://arxiv.org/abs/2406.01899 | [] | [] | [] | [] | [] |
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