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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
2505.22310 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22310?include_resources=true | 200 | true | 72579 | From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization | https://arxiv.org/abs/2505.22310 | [] | [] | [] | [] | [] |
2408.06966 | https://paperswithcode.co/api/v1/papers/arxiv/2408.06966?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.23551 | https://paperswithcode.co/api/v1/papers/arxiv/2506.23551?include_resources=true | 200 | true | 87482 | A Unified Framework on the Universal Approximation of Transformer-type Architectures | https://arxiv.org/abs/2506.23551 | [] | [] | [] | [] | [] |
2505.13946 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13946?include_resources=true | 200 | true | 49111 | Visual Instruction Bottleneck Tuning | https://arxiv.org/abs/2505.13946 | [] | [] | [] | [] | [] |
2502.20120 | https://paperswithcode.co/api/v1/papers/arxiv/2502.20120?include_resources=true | 200 | true | 86637 | Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion | https://arxiv.org/abs/2502.20120 | [] | [] | [] | [] | [] |
2511.04814 | https://paperswithcode.co/api/v1/papers/arxiv/2511.04814?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2512.10359 | https://paperswithcode.co/api/v1/papers/arxiv/2512.10359?include_resources=true | 200 | true | 54719 | Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task | https://arxiv.org/abs/2512.10359 | [
{
"url": "https://github.com/fansunqi/VideoTool",
"owner": "fansunqi",
"name": "VideoTool",
"stars": 22,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2502.20321 | https://paperswithcode.co/api/v1/papers/arxiv/2502.20321?include_resources=true | 200 | true | 45174 | UniTok: A Unified Tokenizer for Visual Generation and Understanding | https://arxiv.org/abs/2502.20321v2 | [
{
"url": "https://github.com/foundationvision/unitok",
"owner": "FoundationVision",
"name": "UniTok",
"stars": 491,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2502.15676 | https://paperswithcode.co/api/v1/papers/arxiv/2502.15676?include_resources=true | 200 | true | 44777 | AutoToM: Automated Bayesian Inverse Planning and Model Discovery for Open-ended Theory of Mind | https://arxiv.org/abs/2502.15676 | [
{
"url": "https://github.com/scai-jhu/autotom",
"owner": "SCAI-JHU",
"name": "AutoToM",
"stars": 36,
"is_official": true,
"source": "ai_extraction"
},
{
"url": "https://github.com/chuanyangjin/MMToM-QA",
"owner": "chuanyangjin",
"name": "MMToM-QA",
"stars": 152,
"is_o... | [
{
"url": "https://chuanyangjin.com/AutoToM/",
"is_official": true
}
] | [] | [] | [] |
2511.16596 | https://paperswithcode.co/api/v1/papers/arxiv/2511.16596?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.23971 | https://paperswithcode.co/api/v1/papers/arxiv/2506.23971?include_resources=true | 200 | true | 71602 | UMA: A Family of Universal Models for Atoms | https://arxiv.org/abs/2506.23971 | [] | [] | [] | [] | [] |
2505.20738 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20738?include_resources=true | 200 | true | 86270 | Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator | https://arxiv.org/abs/2505.20738 | [] | [] | [] | [] | [] |
2505.13787 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13787?include_resources=true | 200 | true | 86808 | Preference Learning with Lie Detectors can Induce Honesty or Evasion | https://arxiv.org/abs/2505.13787 | [] | [] | [] | [] | [] |
2507.09404 | https://paperswithcode.co/api/v1/papers/arxiv/2507.09404?include_resources=true | 200 | true | 51864 | Scaling Laws for Optimal Data Mixtures | https://arxiv.org/abs/2507.09404 | [] | [] | [] | [] | [] |
2510.15976 | https://paperswithcode.co/api/v1/papers/arxiv/2510.15976?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.22025 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22025?include_resources=true | 200 | true | 86076 | Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing | https://arxiv.org/abs/2505.22025 | [] | [] | [] | [] | [] |
2510.18617 | https://paperswithcode.co/api/v1/papers/arxiv/2510.18617?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2406.05254 | https://paperswithcode.co/api/v1/papers/arxiv/2406.05254?include_resources=true | 200 | true | 87240 | Simple and Optimal Sublinear Algorithms for Mean Estimation | https://arxiv.org/abs/2406.05254 | [] | [] | [] | [] | [] |
2502.19110 | https://paperswithcode.co/api/v1/papers/arxiv/2502.19110?include_resources=true | 200 | true | 86471 | Conformal Linguistic Calibration: Trading-off between Factuality and Specificity | https://arxiv.org/abs/2502.19110 | [] | [] | [] | [] | [] |
2510.21396 | https://paperswithcode.co/api/v1/papers/arxiv/2510.21396?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.18372 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18372?include_resources=true | 200 | true | 87000 | Optimal community detection in dense bipartite graphs | https://arxiv.org/abs/2505.18372 | [] | [] | [] | [] | [] |
2506.17197 | https://paperswithcode.co/api/v1/papers/arxiv/2506.17197?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.12266 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12266?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.21356 | https://paperswithcode.co/api/v1/papers/arxiv/2506.21356?include_resources=true | 200 | true | 51511 | ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models | https://arxiv.org/abs/2506.21356 | [
{
"url": "https://github.com/Vchitect/ShotBench/tree/main",
"owner": "Vchitect",
"name": "ShotBench",
"stars": 87,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://vchitect.github.io/ShotBench-project/",
"is_official": true
}
] | [] | [] | [] |
2508.01055 | https://paperswithcode.co/api/v1/papers/arxiv/2508.01055?include_resources=true | 200 | true | 70388 | FGBench: A Dataset and Benchmark for Molecular Property Reasoning at
Functional Group-Level in Large Language Models | https://arxiv.org/abs/2508.01055 | [
{
"url": "https://github.com/xuanliugit/FGBench",
"owner": "xuanliugit",
"name": "FGBench",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2506.04401 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04401?include_resources=true | 200 | true | 86925 | Normalize Filters! Classical Wisdom for Deep Vision | https://arxiv.org/abs/2506.04401 | [] | [] | [] | [] | [] |
2504.09060 | https://paperswithcode.co/api/v1/papers/arxiv/2504.09060?include_resources=true | 200 | true | 86099 | Multimodal 3D Genome Pre-training | https://arxiv.org/abs/2504.09060 | [] | [] | [] | [] | [] |
2506.06045 | https://paperswithcode.co/api/v1/papers/arxiv/2506.06045?include_resources=true | 200 | true | 86453 | Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics | https://arxiv.org/abs/2506.06045 | [] | [] | [] | [] | [] |
2501.13457 | https://paperswithcode.co/api/v1/papers/arxiv/2501.13457?include_resources=true | 200 | true | 75104 | Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks | https://arxiv.org/abs/2501.13457 | [] | [] | [] | [] | [] |
2505.18763 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18763?include_resources=true | 200 | true | 85761 | GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning | https://arxiv.org/abs/2505.18763 | [] | [] | [] | [] | [] |
2508.15183 | https://paperswithcode.co/api/v1/papers/arxiv/2508.15183?include_resources=true | 200 | true | 87023 | Private Hyperparameter Tuning with Ex-Post Guarantee | https://arxiv.org/abs/2508.15183 | [] | [] | [] | [] | [] |
2505.05701 | https://paperswithcode.co/api/v1/papers/arxiv/2505.05701?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.13244 | https://paperswithcode.co/api/v1/papers/arxiv/2506.13244?include_resources=true | 200 | true | 86513 | No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need! | https://arxiv.org/abs/2506.13244 | [] | [] | [] | [] | [] |
2510.09008 | https://paperswithcode.co/api/v1/papers/arxiv/2510.09008?include_resources=true | 200 | true | 53475 | On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in
Large Vision-Language Models | https://arxiv.org/abs/2510.09008 | [
{
"url": "https://github.com/joohoonlee/epistemic",
"owner": "joohoonlee",
"name": "Epistemic",
"stars": 9,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://keenyjin.github.io/epistemic/",
"is_official": true
}
] | [] | [] | [] |
2506.20910 | https://paperswithcode.co/api/v1/papers/arxiv/2506.20910?include_resources=true | 200 | true | 87155 | Faster Fixed-Point Methods for Multichain MDPs | https://arxiv.org/abs/2506.20910 | [] | [] | [] | [] | [] |
2507.16228 | https://paperswithcode.co/api/v1/papers/arxiv/2507.16228?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.16391 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16391?include_resources=true | 200 | true | 86828 | CoUn: Empowering Machine Unlearning via Contrastive Learning | https://arxiv.org/abs/2509.16391 | [] | [] | [] | [] | [] |
2508.06044 | https://paperswithcode.co/api/v1/papers/arxiv/2508.06044?include_resources=true | 200 | true | 70003 | NEP: Autoregressive Image Editing via Next Editing Token Prediction | https://arxiv.org/abs/2508.06044 | [] | [
{
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"is_official": true
},
{
"url": "https://nep-bigai.github.io",
"is_official": true
}
] | [] | [] | [] |
2512.05620 | https://paperswithcode.co/api/v1/papers/arxiv/2512.05620?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.10337 | https://paperswithcode.co/api/v1/papers/arxiv/2506.10337?include_resources=true | 200 | true | 86764 | GeoCAD: Local Geometry-Controllable CAD Generation | https://arxiv.org/abs/2506.10337 | [
{
"url": "https://github.com/zhanwei-z/geocad",
"owner": "zhanwei-z",
"name": "geocad",
"stars": 12,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2505.22494 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22494?include_resources=true | 200 | true | 87167 | ProSpero: Active Learning for Robust Protein Design Beyond Wild-Type Neighborhoods | https://arxiv.org/abs/2505.22494 | [] | [] | [] | [] | [] |
2510.15382 | https://paperswithcode.co/api/v1/papers/arxiv/2510.15382?include_resources=true | 200 | true | 66260 | Towards Robust Zero-Shot Reinforcement Learning | https://arxiv.org/abs/2510.15382 | [
{
"url": "https://github.com/whiterrrrr/breeze",
"owner": "Whiterrrrr",
"name": "BREEZE",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://arwen-c.github.io/breeze/",
"is_official": true
}
] | [] | [] | [] |
2511.12278 | https://paperswithcode.co/api/v1/papers/arxiv/2511.12278?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2507.04725 | https://paperswithcode.co/api/v1/papers/arxiv/2507.04725?include_resources=true | 200 | true | 86093 | Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery | https://arxiv.org/abs/2507.04725 | [] | [] | [] | [] | [] |
2509.18538 | https://paperswithcode.co/api/v1/papers/arxiv/2509.18538?include_resources=true | 200 | true | 67972 | GeoRemover: Removing Objects and Their Causal Visual Artifacts | https://arxiv.org/abs/2509.18538 | [
{
"url": "https://github.com/buxiangzhiren/georemover",
"owner": "buxiangzhiren",
"name": "GeoRemover",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2508.14757 | https://paperswithcode.co/api/v1/papers/arxiv/2508.14757?include_resources=true | 200 | true | 86630 | Distributional Adversarial Attacks and Training in Deep Hedging | https://arxiv.org/abs/2508.14757 | [] | [] | [] | [] | [] |
2508.11330 | https://paperswithcode.co/api/v1/papers/arxiv/2508.11330?include_resources=true | 200 | true | 85724 | Noise Matters: Optimizing Matching Noise for Diffusion Classifiers | https://arxiv.org/abs/2508.11330 | [] | [] | [] | [] | [] |
2502.14113 | https://paperswithcode.co/api/v1/papers/arxiv/2502.14113?include_resources=true | 200 | true | 74585 | Object-centric Binding in Contrastive Language-Image Pretraining | https://arxiv.org/abs/2502.14113 | [] | [] | [] | [] | [] |
2504.16084 | https://paperswithcode.co/api/v1/papers/arxiv/2504.16084?include_resources=true | 200 | true | 48064 | TTRL: Test-Time Reinforcement Learning | https://arxiv.org/abs/2504.16084 | [
{
"url": "https://github.com/tsinghuac3i/awesome-rl-reasoning-recipes",
"owner": "tsinghuac3i",
"name": "awesome-rl-reasoning-recipes",
"stars": 2182,
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"source": "links_json"
},
{
"url": "https://github.com/prime-rl/ttrl",
"owner": "PRIME-RL",
"name": "TTR... | [] | [] | [] | [] |
2408.07908 | https://paperswithcode.co/api/v1/papers/arxiv/2408.07908?include_resources=true | 200 | true | 76586 | Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity | https://arxiv.org/abs/2408.07908 | [] | [] | [] | [] | [] |
2510.10690 | https://paperswithcode.co/api/v1/papers/arxiv/2510.10690?include_resources=true | 200 | true | 86086 | Second-order Optimization under Heavy-Tailed Noise: Hessian Clipping and Sample Complexity Limits | https://arxiv.org/abs/2510.10690 | [] | [] | [] | [] | [] |
2411.18145 | https://paperswithcode.co/api/v1/papers/arxiv/2411.18145?include_resources=true | 200 | true | 40577 | CHOICE: Benchmarking the Remote Sensing Capabilities of Large Vision-Language Models | https://arxiv.org/abs/2411.18145v3 | [
{
"url": "https://github.com/shawnan-whu/choice",
"owner": "shawnan-whu",
"name": "choice",
"stars": 11,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2506.04542 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04542?include_resources=true | 200 | true | 87175 | Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction | https://arxiv.org/abs/2506.04542 | [] | [] | [] | [] | [] |
2502.03128 | https://paperswithcode.co/api/v1/papers/arxiv/2502.03128?include_resources=true | 200 | true | 43697 | Metis: A Foundation Speech Generation Model with Masked Generative Pre-training | https://arxiv.org/abs/2502.03128 | [
{
"url": "https://github.com/open-mmlab/amphion",
"owner": "open-mmlab",
"name": "Amphion",
"stars": 9561,
"is_official": true,
"source": "links_json"
}
] | [
{
"url": "https://metis-demo.github.io/",
"is_official": true
}
] | [] | [] | [] |
2404.11577 | https://paperswithcode.co/api/v1/papers/arxiv/2404.11577?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2508.12291 | https://paperswithcode.co/api/v1/papers/arxiv/2508.12291?include_resources=true | 200 | true | 69578 | RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts | https://arxiv.org/abs/2508.12291 | [] | [] | [] | [] | [] |
2411.16638 | https://paperswithcode.co/api/v1/papers/arxiv/2411.16638?include_resources=true | 200 | true | 86802 | Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation | https://arxiv.org/abs/2411.16638 | [] | [] | [] | [] | [] |
2505.20275 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20275?include_resources=true | 200 | true | 49849 | ImgEdit: A Unified Image Editing Dataset and Benchmark | https://arxiv.org/abs/2505.20275 | [
{
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"owner": "PKU-YuanGroup",
"name": "ImgEdit",
"stars": 251,
"is_official": true,
"source": "links_json"
},
{
"url": "https://github.com/pku-yuangroup/uniworld-v1",
"owner": "PKU-YuanGroup",
"name": "UniWorld-V1",
"stars"... | [] | [] | [] | [] |
2602.08239 | https://paperswithcode.co/api/v1/papers/arxiv/2602.08239?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.08004 | https://paperswithcode.co/api/v1/papers/arxiv/2506.08004?include_resources=true | 200 | true | 50813 | Dynamic View Synthesis as an Inverse Problem | https://arxiv.org/abs/2506.08004 | [] | [
{
"url": "https://inverse-dvs.github.io/",
"is_official": true
}
] | [] | [] | [] |
2509.08195 | https://paperswithcode.co/api/v1/papers/arxiv/2509.08195?include_resources=true | 200 | true | 86228 | Sketched Gaussian Mechanism for Private Federated Learning | https://arxiv.org/abs/2509.08195 | [] | [] | [] | [] | [] |
2511.10648 | https://paperswithcode.co/api/v1/papers/arxiv/2511.10648?include_resources=true | 200 | true | 65047 | Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling | https://arxiv.org/abs/2511.10648 | [] | [] | [] | [] | [] |
2507.17336 | https://paperswithcode.co/api/v1/papers/arxiv/2507.17336?include_resources=true | 200 | true | 86462 | Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting | https://arxiv.org/abs/2507.17336 | [
{
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"owner": "hyeongminlee",
"name": "rd4dgs",
"stars": 8,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2505.11711 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11711?include_resources=true | 200 | true | 48887 | Reinforcement Learning Finetunes Small Subnetworks in Large Language Models | https://arxiv.org/abs/2505.11711 | [] | [] | [] | [] | [] |
2504.00010 | https://paperswithcode.co/api/v1/papers/arxiv/2504.00010?include_resources=true | 200 | true | 47081 | LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object Integration | https://arxiv.org/abs/2504.00010v2 | [
{
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"owner": "PeterYYZhang",
"name": "LayerCraft",
"stars": 8,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2511.18470 | https://paperswithcode.co/api/v1/papers/arxiv/2511.18470?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.05768 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05768?include_resources=true | 200 | true | 86178 | AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation | https://arxiv.org/abs/2506.05768 | [] | [] | [] | [] | [] |
2505.05467 | https://paperswithcode.co/api/v1/papers/arxiv/2505.05467?include_resources=true | 200 | true | 48541 | StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant | https://arxiv.org/abs/2505.05467 | [] | [] | [] | [] | [] |
2505.11840 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11840?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.00090 | https://paperswithcode.co/api/v1/papers/arxiv/2511.00090?include_resources=true | 200 | true | 65645 | LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based
Video Generation | https://arxiv.org/abs/2511.00090 | [
{
"url": "https://github.com/UnicomAI/LeMiCa",
"owner": "UnicomAI",
"name": "LeMiCa",
"stars": 0,
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] | [
{
"url": "https://unicomai.github.io/LeMiCa",
"is_official": true
}
] | [] | [] | [] |
2510.11112 | https://paperswithcode.co/api/v1/papers/arxiv/2510.11112?include_resources=true | 200 | true | 66511 | Multimodal Disease Progression Modeling via Spatiotemporal
Disentanglement and Multiscale Alignment | https://arxiv.org/abs/2510.11112 | [] | [] | [] | [] | [] |
2510.15366 | https://paperswithcode.co/api/v1/papers/arxiv/2510.15366?include_resources=true | 200 | true | 86934 | Sequence Modeling with Spectral Mean Flows | https://arxiv.org/abs/2510.15366 | [
{
"url": "https://github.com/jw9730/spectral-mean-flow",
"owner": "jw9730",
"name": "spectral-mean-flow",
"stars": 12,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2509.15459 | https://paperswithcode.co/api/v1/papers/arxiv/2509.15459?include_resources=true | 200 | true | 68173 | CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction | https://arxiv.org/abs/2509.15459 | [
{
"url": "https://github.com/ee-liu/cage",
"owner": "ee-Liu",
"name": "CAGE",
"stars": 0,
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"source": "hf_api"
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] | [
{
"url": "https://github.com/ee-Liu/CAGE.git",
"is_official": true
}
] | [] | [] | [] |
2505.19985 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19985?include_resources=true | 200 | true | 87381 | Structured Initialization for Vision Transformers | https://arxiv.org/abs/2505.19985 | [] | [] | [] | [] | [] |
2509.10504 | https://paperswithcode.co/api/v1/papers/arxiv/2509.10504?include_resources=true | 200 | true | 86647 | Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs | https://arxiv.org/abs/2509.10504 | [] | [] | [] | [] | [] |
2505.21039 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21039?include_resources=true | 200 | true | 86552 | Scalable and adaptive prediction bands with kernel sum-of-squares | https://arxiv.org/abs/2505.21039 | [] | [] | [] | [] | [] |
2507.00322 | https://paperswithcode.co/api/v1/papers/arxiv/2507.00322?include_resources=true | 200 | true | 85776 | Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones | https://arxiv.org/abs/2507.00322 | [] | [] | [] | [] | [] |
2508.13632 | https://paperswithcode.co/api/v1/papers/arxiv/2508.13632?include_resources=true | 200 | true | 52424 | OmniTry: Virtual Try-On Anything without Masks | https://arxiv.org/abs/2508.13632 | [
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2509.17998 | https://paperswithcode.co/api/v1/papers/arxiv/2509.17998?include_resources=true | 200 | true | 52920 | Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with
LLMs | https://arxiv.org/abs/2509.17998 | [
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2507.17511 | https://paperswithcode.co/api/v1/papers/arxiv/2507.17511?include_resources=true | 200 | true | 86501 | Accelerating Parallel Diffusion Model Serving with Residual Compression | https://arxiv.org/abs/2507.17511 | [
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2511.17914 | https://paperswithcode.co/api/v1/papers/arxiv/2511.17914?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.01728 | https://paperswithcode.co/api/v1/papers/arxiv/2506.01728?include_resources=true | 200 | true | 86272 | Principled data augmentation for learning to solve quadratic programming problems | https://arxiv.org/abs/2506.01728 | [] | [] | [] | [] | [] |
2506.04721 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04721?include_resources=true | 200 | true | 72252 | SPARTA ALIGNMENT: Collectively Aligning Multiple Language Models through
Combat | https://arxiv.org/abs/2506.04721 | [] | [] | [] | [] | [] |
2505.20943 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20943?include_resources=true | 200 | true | 87204 | Efficient Spectral Control of Partially Observed Linear Dynamical Systems | https://arxiv.org/abs/2505.20943 | [] | [] | [] | [] | [] |
2601.00225 | https://paperswithcode.co/api/v1/papers/arxiv/2601.00225?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.17921 | https://paperswithcode.co/api/v1/papers/arxiv/2510.17921?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.25040 | https://paperswithcode.co/api/v1/papers/arxiv/2509.25040?include_resources=true | 200 | true | 86298 | A multiscale analysis of mean-field transformers in the moderate interaction regime | https://arxiv.org/abs/2509.25040 | [] | [] | [] | [] | [] |
2510.08840 | https://paperswithcode.co/api/v1/papers/arxiv/2510.08840?include_resources=true | 200 | true | 86394 | The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective | https://arxiv.org/abs/2510.08840 | [] | [] | [] | [] | [] |
2407.19396 | https://paperswithcode.co/api/v1/papers/arxiv/2407.19396?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2601.01676 | https://paperswithcode.co/api/v1/papers/arxiv/2601.01676?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2501.04184 | https://paperswithcode.co/api/v1/papers/arxiv/2501.04184?include_resources=true | 200 | true | 75270 | MedicalNarratives: Connecting Medical Vision and Language with Localized Narratives | https://arxiv.org/abs/2501.04184 | [] | [] | [] | [] | [] |
2511.21011 | https://paperswithcode.co/api/v1/papers/arxiv/2511.21011?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.16666 | https://paperswithcode.co/api/v1/papers/arxiv/2511.16666?include_resources=true | 200 | true | 64766 | SceneDesigner: Controllable Multi-Object Image Generation with 9-DoF Pose Manipulation | https://arxiv.org/abs/2511.16666 | [
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2506.05274 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05274?include_resources=true | 200 | true | 72241 | From Play to Replay: Composed Video Retrieval for Temporally
Fine-Grained Videos | https://arxiv.org/abs/2506.05274 | [] | [] | [] | [] | [] |
2505.11926 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11926?include_resources=true | 200 | true | 73023 | SafeVid: Toward Safety Aligned Video Large Multimodal Models | https://arxiv.org/abs/2505.11926 | [] | [] | [] | [] | [] |
2502.16002 | https://paperswithcode.co/api/v1/papers/arxiv/2502.16002?include_resources=true | 200 | true | 74531 | KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse | https://arxiv.org/abs/2502.16002 | [] | [] | [] | [] | [] |
2410.04224 | https://paperswithcode.co/api/v1/papers/arxiv/2410.04224?include_resources=true | 200 | true | 76151 | Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator | https://arxiv.org/abs/2410.04224 | [
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"stars": 82,
"is_official": true,
"source": "neurips2025_import"
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2505.23443 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23443?include_resources=true | 200 | true | 86728 | Strategic Classification with Non-Linear Classifiers | https://arxiv.org/abs/2505.23443 | [] | [] | [] | [] | [] |
2511.04485 | https://paperswithcode.co/api/v1/papers/arxiv/2511.04485?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.12082 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12082?include_resources=true | 200 | true | 48924 | Model Merging in Pre-training of Large Language Models | https://arxiv.org/abs/2505.12082v2 | [] | [] | [] | [] | [] |
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