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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
2505.23052 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23052?include_resources=true | 200 | true | 50073 | Query Routing for Retrieval-Augmented Language Models | https://arxiv.org/abs/2505.23052 | [
{
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"owner": "owwo99",
"name": "ragrouter",
"stars": 4,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2503.17299 | https://paperswithcode.co/api/v1/papers/arxiv/2503.17299?include_resources=true | 200 | true | 86488 | Preference-Guided Diffusion for Multi-Objective Offline Optimization | https://arxiv.org/abs/2503.17299 | [] | [] | [] | [] | [] |
2506.08220 | https://paperswithcode.co/api/v1/papers/arxiv/2506.08220?include_resources=true | 200 | true | 85862 | Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence | https://arxiv.org/abs/2506.08220 | [] | [] | [] | [] | [] |
2412.03727 | https://paperswithcode.co/api/v1/papers/arxiv/2412.03727?include_resources=true | 200 | true | 86859 | Online Experimental Design With Estimation-Regret Trade-off Under Network Interference | https://arxiv.org/abs/2412.03727 | [] | [] | [] | [] | [] |
2501.18785 | https://paperswithcode.co/api/v1/papers/arxiv/2501.18785?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2507.10496 | https://paperswithcode.co/api/v1/papers/arxiv/2507.10496?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.16495 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16495?include_resources=true | 200 | true | 49415 | ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation | https://arxiv.org/abs/2505.16495 | [
{
"url": "https://github.com/yayafengzi/altollm",
"owner": "yayafengzi",
"name": "ALToLLM",
"stars": 26,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2502.13030 | https://paperswithcode.co/api/v1/papers/arxiv/2502.13030?include_resources=true | 200 | true | 44504 | Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts | https://arxiv.org/abs/2502.13030 | [
{
"url": "https://github.com/shayankiyani98/lr-qr",
"owner": "shayankiyani98",
"name": "LR-QR",
"stars": 1,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2511.22425 | https://paperswithcode.co/api/v1/papers/arxiv/2511.22425?include_resources=true | 200 | true | 64428 | Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Models | https://arxiv.org/abs/2511.22425 | [] | [] | [] | [] | [] |
2505.16548 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16548?include_resources=true | 200 | true | 87303 | Incremental Sequence Classification with Temporal Consistency | https://arxiv.org/abs/2505.16548 | [] | [] | [] | [] | [] |
2506.03777 | https://paperswithcode.co/api/v1/papers/arxiv/2506.03777?include_resources=true | 200 | true | 87276 | FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning | https://arxiv.org/abs/2506.03777 | [] | [] | [] | [] | [] |
2410.11536 | https://paperswithcode.co/api/v1/papers/arxiv/2410.11536?include_resources=true | 200 | true | 76047 | OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary
Segmentation | https://arxiv.org/abs/2410.11536 | [] | [] | [] | [] | [] |
2512.25023 | https://paperswithcode.co/api/v1/papers/arxiv/2512.25023?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2411.04913 | https://paperswithcode.co/api/v1/papers/arxiv/2411.04913?include_resources=true | 200 | true | 85727 | Structure Matters: Dynamic Policy Gradient | https://arxiv.org/abs/2411.04913 | [] | [] | [] | [] | [] |
2510.19819 | https://paperswithcode.co/api/v1/papers/arxiv/2510.19819?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2504.16064 | https://paperswithcode.co/api/v1/papers/arxiv/2504.16064?include_resources=true | 200 | true | 48056 | Boosting Generative Image Modeling via Joint Image-Feature Synthesis | https://arxiv.org/abs/2504.16064v2 | [
{
"url": "https://github.com/zelaki/redi",
"owner": "zelaki",
"name": "ReDi",
"stars": 105,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://representationdiffusion.github.io/",
"is_official": true
},
{
"url": "https://representationdiffusion.github.io/arXiv:2504.16064v2",
"is_official": true
}
] | [] | [] | [] |
2301.12226 | https://paperswithcode.co/api/v1/papers/arxiv/2301.12226?include_resources=true | 200 | true | 86860 | Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization | https://arxiv.org/abs/2301.12226 | [] | [] | [] | [] | [] |
2412.02857 | https://paperswithcode.co/api/v1/papers/arxiv/2412.02857?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.05592 | https://paperswithcode.co/api/v1/papers/arxiv/2511.05592?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.04224 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04224?include_resources=true | 200 | true | 50571 | Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset | https://arxiv.org/abs/2506.04224 | [] | [
{
"url": "https://oxdan.active.vision/",
"is_official": true
}
] | [] | [] | [] |
2503.09949 | https://paperswithcode.co/api/v1/papers/arxiv/2503.09949?include_resources=true | 200 | true | 46008 | UVE: Are MLLMs Unified Evaluators for AI-Generated Videos? | https://arxiv.org/abs/2503.09949 | [
{
"url": "https://github.com/bytedance/uve",
"owner": "bytedance",
"name": "UVE",
"stars": 9,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2510.17299 | https://paperswithcode.co/api/v1/papers/arxiv/2510.17299?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.11985 | https://paperswithcode.co/api/v1/papers/arxiv/2510.11985?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.04792 | https://paperswithcode.co/api/v1/papers/arxiv/2510.04792?include_resources=true | 200 | true | 86869 | Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems | https://arxiv.org/abs/2510.04792 | [] | [] | [] | [] | [] |
2508.13144 | https://paperswithcode.co/api/v1/papers/arxiv/2508.13144?include_resources=true | 200 | true | 69508 | Signal and Noise: A Framework for Reducing Uncertainty in Language Model
Evaluation | https://arxiv.org/abs/2508.13144 | [] | [] | [] | [] | [] |
2511.14320 | https://paperswithcode.co/api/v1/papers/arxiv/2511.14320?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2501.16226 | https://paperswithcode.co/api/v1/papers/arxiv/2501.16226?include_resources=true | 200 | true | 86741 | The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model | https://arxiv.org/abs/2501.16226 | [] | [] | [] | [] | [] |
2506.02489 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02489?include_resources=true | 200 | true | 72350 | Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges | https://arxiv.org/abs/2506.02489 | [] | [] | [] | [] | [] |
2503.04712 | https://paperswithcode.co/api/v1/papers/arxiv/2503.04712?include_resources=true | 200 | true | 86269 | Efficiently Escaping Saddle Points under Generalized Smoothness via Self-Bounding Regularity | https://arxiv.org/abs/2503.04712 | [] | [] | [] | [] | [] |
2502.05295 | https://paperswithcode.co/api/v1/papers/arxiv/2502.05295?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.04703 | https://paperswithcode.co/api/v1/papers/arxiv/2511.04703?include_resources=true | 200 | true | 65460 | Measuring what Matters: Construct Validity in Large Language Model
Benchmarks | https://arxiv.org/abs/2511.04703 | [] | [] | [] | [] | [] |
2506.05332 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05332?include_resources=true | 200 | true | 50652 | Unleashing Hour-Scale Video Training for Long Video-Language Understanding | https://arxiv.org/abs/2506.05332 | [
{
"url": "https://github.com/jylins/hourllava",
"owner": "jylins",
"name": "hourllava",
"stars": 17,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://videomarathon.github.io/",
"is_official": true
}
] | [] | [] | [] |
2506.05340 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05340?include_resources=true | 200 | true | 50657 | Exploring Diffusion Transformer Designs via Grafting | https://arxiv.org/abs/2506.05340v2 | [
{
"url": "https://github.com/keshik6/grafting",
"owner": "keshik6",
"name": "grafting",
"stars": 67,
"is_official": true,
"source": "links_json"
}
] | [
{
"url": "https://grafting.stanford.edu/",
"is_official": true
},
{
"url": "https://grafting.stanford.edu",
"is_official": true
}
] | [] | [] | [] |
2502.12110 | https://paperswithcode.co/api/v1/papers/arxiv/2502.12110?include_resources=true | 200 | true | 44412 | A-MEM: Agentic Memory for LLM Agents | https://arxiv.org/abs/2502.12110v9 | [
{
"url": "https://github.com/agiresearch/a-mem",
"owner": "agiresearch",
"name": "a-mem",
"stars": 737,
"is_official": true,
"source": "links_json"
},
{
"url": "https://github.com/wujiangxu/agenticmemory",
"owner": "WujiangXu",
"name": "AgenticMemory",
"stars": 726,
"... | [] | [] | [] | [] |
2602.04920 | https://paperswithcode.co/api/v1/papers/arxiv/2602.04920?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.05205 | https://paperswithcode.co/api/v1/papers/arxiv/2510.05205?include_resources=true | 200 | true | 86506 | A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors | https://arxiv.org/abs/2510.05205 | [] | [] | [] | [] | [] |
2505.13731 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13731?include_resources=true | 200 | true | 49088 | GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization | https://arxiv.org/abs/2505.13731 | [] | [] | [] | [] | [] |
2505.10606 | https://paperswithcode.co/api/v1/papers/arxiv/2505.10606?include_resources=true | 200 | true | 86658 | Continuity and Isolation Lead to Doubts or Dilemmas in Large Language Models | https://arxiv.org/abs/2505.10606 | [] | [] | [] | [] | [] |
2507.16302 | https://paperswithcode.co/api/v1/papers/arxiv/2507.16302?include_resources=true | 200 | true | 85778 | Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning | https://arxiv.org/abs/2507.16302 | [] | [] | [] | [] | [] |
2502.13189 | https://paperswithcode.co/api/v1/papers/arxiv/2502.13189?include_resources=true | 200 | true | 44534 | MoBA: Mixture of Block Attention for Long-Context LLMs | https://arxiv.org/abs/2502.13189 | [
{
"url": "https://github.com/moonshotai/moba",
"owner": "MoonshotAI",
"name": "MoBA",
"stars": 2023,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2510.12872 | https://paperswithcode.co/api/v1/papers/arxiv/2510.12872?include_resources=true | 200 | true | 53584 | KVCOMM: Online Cross-context KV-cache Communication for Efficient
LLM-based Multi-agent Systems | https://arxiv.org/abs/2510.12872 | [
{
"url": "https://github.com/FastMAS/KVCOMM",
"owner": "FastMAS",
"name": "KVCOMM",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2505.11740 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11740?include_resources=true | 200 | true | 86017 | Simple and Effective Specialized Representations for Fair Classifiers | https://arxiv.org/abs/2505.11740 | [] | [] | [] | [] | [] |
2410.09766 | https://paperswithcode.co/api/v1/papers/arxiv/2410.09766?include_resources=true | 200 | true | 85791 | Stability and Sharper Risk Bounds with Convergence Rate $\tilde{O}(1/n^2)$ | https://arxiv.org/abs/2410.09766 | [] | [] | [] | [] | [] |
2505.24864 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24864?include_resources=true | 200 | true | 50274 | ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models | https://arxiv.org/abs/2505.24864 | [
{
"url": "https://github.com/open-thought/reasoning-gym",
"owner": "open-thought",
"name": "reasoning-gym",
"stars": 1281,
"is_official": true,
"source": "links_json"
}
] | [
{
"url": "https://huggingface.co/nvidia/Nemotron-Research-Reasoning-Qwen-1.5B",
"is_official": true
}
] | [] | [] | [] |
2410.05127 | https://paperswithcode.co/api/v1/papers/arxiv/2410.05127?include_resources=true | 200 | true | 86928 | Last Iterate Convergence in Monotone Mean Field Games | https://arxiv.org/abs/2410.05127 | [] | [] | [] | [] | [] |
2509.07027 | https://paperswithcode.co/api/v1/papers/arxiv/2509.07027?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.02513 | https://paperswithcode.co/api/v1/papers/arxiv/2502.02513?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.17083 | https://paperswithcode.co/api/v1/papers/arxiv/2509.17083?include_resources=true | 200 | true | 52942 | HyRF: Hybrid Radiance Fields for Memory-efficient and High-quality Novel
View Synthesis | https://arxiv.org/abs/2509.17083 | [
{
"url": "https://github.com/wzpscott/hybrid-radiance-fields",
"owner": "wzpscott",
"name": "hybrid-radiance-fields",
"stars": 64,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://wzpscott.github.io/hyrf/",
"is_official": true
}
] | [] | [] | [] |
2507.07150 | https://paperswithcode.co/api/v1/papers/arxiv/2507.07150?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.04158 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04158?include_resources=true | 200 | true | 50561 | Image Editing As Programs with Diffusion Models | https://arxiv.org/abs/2506.04158 | [
{
"url": "https://github.com/yujiahu1109/ieap",
"owner": "YujiaHu1109",
"name": "IEAP",
"stars": 109,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://yujiahu1109.github.io/IEAP/",
"is_official": true
}
] | [] | [] | [] |
2502.06914 | https://paperswithcode.co/api/v1/papers/arxiv/2502.06914?include_resources=true | 200 | true | 86230 | UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge | https://arxiv.org/abs/2502.06914 | [] | [] | [] | [] | [] |
2505.21955 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21955?include_resources=true | 200 | true | 86777 | Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMs | https://arxiv.org/abs/2505.21955 | [] | [] | [] | [] | [] |
2605.23464 | https://paperswithcode.co/api/v1/papers/arxiv/2605.23464?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.04478 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04478?include_resources=true | 200 | true | 86982 | Matching Markets Meet LLMs: Algorithmic Reasoning with Ranked Preferences | https://arxiv.org/abs/2506.04478 | [] | [] | [] | [] | [] |
2502.05094 | https://paperswithcode.co/api/v1/papers/arxiv/2502.05094?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.03944 | https://paperswithcode.co/api/v1/papers/arxiv/2510.03944?include_resources=true | 200 | true | 86413 | On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection | https://arxiv.org/abs/2510.03944 | [] | [] | [] | [] | [] |
2501.10124 | https://paperswithcode.co/api/v1/papers/arxiv/2501.10124?include_resources=true | 200 | true | 85884 | Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders | https://arxiv.org/abs/2501.10124 | [] | [] | [] | [] | [] |
2410.06300 | https://paperswithcode.co/api/v1/papers/arxiv/2410.06300?include_resources=true | 200 | true | 86027 | SHAP values via sparse Fourier representation | https://arxiv.org/abs/2410.06300 | [] | [] | [] | [] | [] |
2511.07198 | https://paperswithcode.co/api/v1/papers/arxiv/2511.07198?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.09981 | https://paperswithcode.co/api/v1/papers/arxiv/2502.09981?include_resources=true | 200 | true | 85722 | Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data | https://arxiv.org/abs/2502.09981 | [] | [] | [] | [] | [] |
2509.24493 | https://paperswithcode.co/api/v1/papers/arxiv/2509.24493?include_resources=true | 200 | true | 86318 | Preference-Based Dynamic Ranking Structure Recognition | https://arxiv.org/abs/2509.24493 | [] | [] | [] | [] | [] |
2502.03366 | https://paperswithcode.co/api/v1/papers/arxiv/2502.03366?include_resources=true | 200 | true | 85813 | Rethinking Approximate Gaussian Inference in Classification | https://arxiv.org/abs/2502.03366 | [] | [] | [] | [] | [] |
2510.18310 | https://paperswithcode.co/api/v1/papers/arxiv/2510.18310?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.18581 | https://paperswithcode.co/api/v1/papers/arxiv/2502.18581?include_resources=true | 200 | true | 45033 | Scalable Best-of-N Selection for Large Language Models via Self-Certainty | https://arxiv.org/abs/2502.18581 | [
{
"url": "https://github.com/backprop07/self-certainty",
"owner": "backprop07",
"name": "Self-Certainty",
"stars": 29,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2510.07249 | https://paperswithcode.co/api/v1/papers/arxiv/2510.07249?include_resources=true | 200 | true | 66782 | TalkCuts: A Large-Scale Dataset for Multi-Shot Human Speech Video Generation | https://arxiv.org/abs/2510.07249 | [] | [] | [] | [] | [] |
2502.10712 | https://paperswithcode.co/api/v1/papers/arxiv/2502.10712?include_resources=true | 200 | true | 87293 | FuncGenFoil: Airfoil Generation and Editing Model in Function Space | https://arxiv.org/abs/2502.10712 | [] | [] | [] | [] | [] |
2512.11131 | https://paperswithcode.co/api/v1/papers/arxiv/2512.11131?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.02830 | https://paperswithcode.co/api/v1/papers/arxiv/2505.02830?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.09681 | https://paperswithcode.co/api/v1/papers/arxiv/2506.09681?include_resources=true | 200 | true | 86466 | Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds | https://arxiv.org/abs/2506.09681 | [] | [] | [] | [] | [] |
2503.02863 | https://paperswithcode.co/api/v1/papers/arxiv/2503.02863?include_resources=true | 200 | true | 87444 | SteerConf: Steering LLMs for Confidence Elicitation | https://arxiv.org/abs/2503.02863 | [] | [] | [] | [] | [] |
2505.02819 | https://paperswithcode.co/api/v1/papers/arxiv/2505.02819?include_resources=true | 200 | true | 48413 | ReplaceMe: Network Simplification via Layer Pruning and Linear Transformations | https://arxiv.org/abs/2505.02819v2 | [
{
"url": "https://github.com/mts-ai/replaceme",
"owner": "mts-ai",
"name": "ReplaceMe",
"stars": 39,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2502.19335 | https://paperswithcode.co/api/v1/papers/arxiv/2502.19335?include_resources=true | 200 | true | 86619 | Gatekeeper: Improving Model Cascades Through Confidence Tuning | https://arxiv.org/abs/2502.19335 | [] | [] | [] | [] | [] |
2509.15763 | https://paperswithcode.co/api/v1/papers/arxiv/2509.15763?include_resources=true | 200 | true | 68147 | UniGist: Towards General and Hardware-aligned Sequence-level Long
Context Compression | https://arxiv.org/abs/2509.15763 | [] | [] | [] | [] | [] |
2506.12932 | https://paperswithcode.co/api/v1/papers/arxiv/2506.12932?include_resources=true | 200 | true | 87304 | Complexity Scaling Laws for Neural Models using Combinatorial Optimization | https://arxiv.org/abs/2506.12932 | [] | [] | [] | [] | [] |
2505.18966 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18966?include_resources=true | 200 | true | 87019 | Protein Design with Dynamic Protein Vocabulary | https://arxiv.org/abs/2505.18966 | [] | [] | [] | [] | [] |
2511.02690 | https://paperswithcode.co/api/v1/papers/arxiv/2511.02690?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.20259 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20259?include_resources=true | 200 | true | 49845 | Lifelong Safety Alignment for Language Models | https://arxiv.org/abs/2505.20259 | [
{
"url": "https://github.com/sail-sg/lifelongsafetyalignment",
"owner": "sail-sg",
"name": "LifelongSafetyAlignment",
"stars": 10,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2505.11413 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11413?include_resources=true | 200 | true | 48862 | CARES: Comprehensive Evaluation of Safety and Adversarial Robustness in Medical LLMs | https://arxiv.org/abs/2505.11413 | [] | [] | [] | [] | [] |
2407.15026 | https://paperswithcode.co/api/v1/papers/arxiv/2407.15026?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.12323 | https://paperswithcode.co/api/v1/papers/arxiv/2506.12323?include_resources=true | 200 | true | 86665 | Doctor Approved: Generating Medically Accurate Skin Disease Images through AI–Expert Feedback | https://arxiv.org/abs/2506.12323 | [] | [] | [] | [] | [] |
2505.20885 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20885?include_resources=true | 200 | true | 85919 | Improved Bounds for Swap Multicalibration and Swap Omniprediction | https://arxiv.org/abs/2505.20885 | [] | [] | [] | [] | [] |
2402.12340 | https://paperswithcode.co/api/v1/papers/arxiv/2402.12340?include_resources=true | 200 | true | 85890 | Multidimensional Bayesian Utility Maximization: Tight Approximations to Welfare | https://arxiv.org/abs/2402.12340 | [] | [] | [] | [] | [] |
2411.16598 | https://paperswithcode.co/api/v1/papers/arxiv/2411.16598?include_resources=true | 200 | true | 86890 | DiffBreak: Is Diffusion-Based Purification Robust? | https://arxiv.org/abs/2411.16598 | [] | [] | [] | [] | [] |
2508.00830 | https://paperswithcode.co/api/v1/papers/arxiv/2508.00830?include_resources=true | 200 | true | 72737 | BikeBench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints | https://arxiv.org/abs/2508.00830 | [] | [] | [] | [] | [] |
2505.23281 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23281?include_resources=true | 200 | true | 72549 | MathArena: Evaluating LLMs on Uncontaminated Math Competitions | https://arxiv.org/abs/2505.23281 | [] | [] | [] | [] | [] |
2505.19702 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19702?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2410.16136 | https://paperswithcode.co/api/v1/papers/arxiv/2410.16136?include_resources=true | 200 | true | 87169 | Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors | https://arxiv.org/abs/2410.16136 | [] | [] | [] | [] | [] |
2506.02318 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02318?include_resources=true | 200 | true | 86865 | Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models | https://arxiv.org/abs/2506.02318 | [] | [] | [] | [] | [] |
2505.24625 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24625?include_resources=true | 200 | true | 50247 | Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors | https://arxiv.org/abs/2505.24625 | [
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2511.14030 | https://paperswithcode.co/api/v1/papers/arxiv/2511.14030?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.02651 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02651?include_resources=true | 200 | true | 87142 | Asymptotics of SGD in Sequence-Single Index Models and Single-Layer Attention Networks | https://arxiv.org/abs/2506.02651 | [] | [] | [] | [] | [] |
2505.10947 | https://paperswithcode.co/api/v1/papers/arxiv/2505.10947?include_resources=true | 200 | true | 87462 | Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions | https://arxiv.org/abs/2505.10947 | [] | [] | [] | [] | [] |
2505.12044 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12044?include_resources=true | 200 | true | 73001 | FlashBias: Fast Computation of Attention with Bias | https://arxiv.org/abs/2505.12044 | [
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2309.13886 | https://paperswithcode.co/api/v1/papers/arxiv/2309.13886?include_resources=true | 200 | true | 86520 | Can Class-Priors Help Single-Positive Multi-Label Learning? | https://arxiv.org/abs/2309.13886 | [] | [] | [] | [] | [] |
2506.20977 | https://paperswithcode.co/api/v1/papers/arxiv/2506.20977?include_resources=true | 200 | true | 71718 | From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging | https://arxiv.org/abs/2506.20977 | [
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2505.13071 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13071?include_resources=true | 200 | true | 86115 | OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction | https://arxiv.org/abs/2505.13071 | [] | [] | [] | [] | [] |
2510.20134 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20134?include_resources=true | 200 | true | 65995 | Revisiting Logit Distributions for Reliable Out-of-Distribution Detection | https://arxiv.org/abs/2510.20134 | [
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2505.14148 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14148?include_resources=true | 200 | true | 49132 | MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem | https://arxiv.org/abs/2505.14148 | [
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2502.07861 | https://paperswithcode.co/api/v1/papers/arxiv/2502.07861?include_resources=true | 200 | true | 74747 | Streaming Attention Approximation via Discrepancy Theory | https://arxiv.org/abs/2502.07861 | [] | [] | [] | [] | [] |
2510.21055 | https://paperswithcode.co/api/v1/papers/arxiv/2510.21055?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
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