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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
2410.12974 | https://paperswithcode.co/api/v1/papers/arxiv/2410.12974?include_resources=true | 200 | true | 38657 | BenchmarkCards: Large Language Model and Risk Reporting | https://arxiv.org/abs/2410.12974 | [
{
"url": "https://github.com/SokolAnn/BenchmarkCards",
"owner": "SokolAnn",
"name": "BenchmarkCards",
"stars": 12,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://huggingface.co/datasets/ASokol/BenchmarkCards",
"is_official": true
}
] | [] | [] | [] |
2506.17093 | https://paperswithcode.co/api/v1/papers/arxiv/2506.17093?include_resources=true | 200 | true | 87420 | Identifiability of Deep Polynomial Neural Networks | https://arxiv.org/abs/2506.17093 | [] | [] | [] | [] | [] |
2405.13979 | https://paperswithcode.co/api/v1/papers/arxiv/2405.13979?include_resources=true | 200 | true | 86753 | Robust Hyperbolic Learning with Curvature-Aware Optimization | https://arxiv.org/abs/2405.13979 | [] | [] | [] | [] | [] |
2501.13918 | https://paperswithcode.co/api/v1/papers/arxiv/2501.13918?include_resources=true | 200 | true | 43168 | Improving Video Generation with Human Feedback | https://arxiv.org/abs/2501.13918 | [] | [
{
"url": "https://gongyeliu.github.io/videoalign/",
"is_official": true
},
{
"url": "https://gongyeliu.github.io/videoalign",
"is_official": true
}
] | [] | [] | [] |
2412.09585 | https://paperswithcode.co/api/v1/papers/arxiv/2412.09585?include_resources=true | 200 | true | 41472 | OLA-VLM: Elevating Visual Perception in Multimodal LLMs with Auxiliary Embedding Distillation | https://arxiv.org/abs/2412.09585 | [
{
"url": "https://github.com/shi-labs/ola-vlm",
"owner": "shi-labs",
"name": "ola-vlm",
"stars": 68,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2511.01678 | https://paperswithcode.co/api/v1/papers/arxiv/2511.01678?include_resources=true | 200 | true | 54012 | UniLumos: Fast and Unified Image and Video Relighting with
Physics-Plausible Feedback | https://arxiv.org/abs/2511.01678 | [
{
"url": "https://github.com/alibaba-damo-academy/Lumos-Custom",
"owner": "alibaba-damo-academy",
"name": "Lumos-Custom",
"stars": 116,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://github.com/alibaba-damo-academy/Lumos-Custom",
"is_official": true
}
] | [] | [] | [] |
2503.09617 | https://paperswithcode.co/api/v1/papers/arxiv/2503.09617?include_resources=true | 200 | true | 74245 | Factorio Learning Environment | https://arxiv.org/abs/2503.09617 | [] | [] | [] | [] | [] |
2503.17338 | https://paperswithcode.co/api/v1/papers/arxiv/2503.17338?include_resources=true | 200 | true | 73926 | Capturing Individual Human Preferences with Reward Features | https://arxiv.org/abs/2503.17338 | [] | [] | [] | [] | [] |
2505.01346 | https://paperswithcode.co/api/v1/papers/arxiv/2505.01346?include_resources=true | 200 | true | 87088 | How to Learn a Star: Binary Classification with Starshaped Polyhedral Sets | https://arxiv.org/abs/2505.01346 | [] | [] | [] | [] | [] |
2505.18884 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18884?include_resources=true | 200 | true | 87264 | LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders | https://arxiv.org/abs/2505.18884 | [] | [] | [] | [] | [] |
2506.00568 | https://paperswithcode.co/api/v1/papers/arxiv/2506.00568?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.12677 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12677?include_resources=true | 200 | true | 86576 | CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models | https://arxiv.org/abs/2505.12677 | [] | [] | [] | [] | [] |
2409.14507 | https://paperswithcode.co/api/v1/papers/arxiv/2409.14507?include_resources=true | 200 | true | 37184 | A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders | https://arxiv.org/abs/2409.14507v4 | [
{
"url": "https://github.com/lasr-spelling/sae-spelling",
"owner": "lasr-spelling",
"name": "sae-spelling",
"stars": 11,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2503.10679 | https://paperswithcode.co/api/v1/papers/arxiv/2503.10679?include_resources=true | 200 | true | 74157 | LinEAS: End-to-end Learning of Activation Steering with a Distributional
Loss | https://arxiv.org/abs/2503.10679 | [
{
"url": "https://github.com/apple/ml-lineas",
"owner": "apple",
"name": "ml-lineas",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2511.14745 | https://paperswithcode.co/api/v1/papers/arxiv/2511.14745?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2411.18624 | https://paperswithcode.co/api/v1/papers/arxiv/2411.18624?include_resources=true | 200 | true | 40616 | GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Data | https://arxiv.org/abs/2411.18624 | [] | [
{
"url": "https://roooooz.github.io/GeneMAN/.",
"is_official": true
}
] | [] | [] | [] |
2408.09695 | https://paperswithcode.co/api/v1/papers/arxiv/2408.09695?include_resources=true | 200 | true | 85717 | On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting | https://arxiv.org/abs/2408.09695 | [] | [] | [] | [] | [] |
2507.16815 | https://paperswithcode.co/api/v1/papers/arxiv/2507.16815?include_resources=true | 200 | true | 52040 | ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning | https://arxiv.org/abs/2507.16815 | [] | [
{
"url": "https://jasper0314-huang.github.io/thinkact-vla/",
"is_official": true
}
] | [] | [] | [] |
2507.22904 | https://paperswithcode.co/api/v1/papers/arxiv/2507.22904?include_resources=true | 200 | true | 85892 | SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketches | https://arxiv.org/abs/2507.22904 | [] | [] | [] | [] | [] |
2410.02867 | https://paperswithcode.co/api/v1/papers/arxiv/2410.02867?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2501.14755 | https://paperswithcode.co/api/v1/papers/arxiv/2501.14755?include_resources=true | 200 | true | 43218 | Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation Models | https://arxiv.org/abs/2501.14755v2 | [
{
"url": "https://github.com/modelscope/data-juicer",
"owner": "modelscope",
"name": "data-juicer",
"stars": 5640,
"is_official": true,
"source": "links_json"
},
{
"url": "https://github.com/alibaba/data-juicer",
"owner": "alibaba",
"name": "data-juicer",
"stars": 5648,
... | [] | [] | [] | [] |
2506.01144 | https://paperswithcode.co/api/v1/papers/arxiv/2506.01144?include_resources=true | 200 | true | 50365 | FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation | https://arxiv.org/abs/2506.01144v2 | [
{
"url": "https://github.com/arielshaulov/flowmo",
"owner": "arielshaulov",
"name": "FlowMo",
"stars": 106,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://arielshaulov.github.io/FlowMo/",
"is_official": true
}
] | [] | [] | [] |
2603.02846 | https://paperswithcode.co/api/v1/papers/arxiv/2603.02846?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.13377 | https://paperswithcode.co/api/v1/papers/arxiv/2503.13377?include_resources=true | 200 | true | 46261 | TimeZero: Temporal Video Grounding with Reasoning-Guided LVLM | https://arxiv.org/abs/2503.13377 | [
{
"url": "https://github.com/www-ye/timezero",
"owner": "www-Ye",
"name": "TimeZero",
"stars": 130,
"is_official": true,
"source": "links_json"
}
] | [
{
"url": "https://xuboshen.github.io/Time-R1/",
"is_official": true
}
] | [] | [] | [] |
2505.21333 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21333?include_resources=true | 200 | true | 49937 | MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios | https://arxiv.org/abs/2505.21333 | [
{
"url": "https://github.com/dogneversleep/mme-videoocr",
"owner": "DogNeverSleep",
"name": "MME-VideoOCR",
"stars": 36,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://mme-videoocr.github.io/",
"is_official": true
}
] | [] | [] | [] |
2506.15538 | https://paperswithcode.co/api/v1/papers/arxiv/2506.15538?include_resources=true | 200 | true | 71894 | Capturing Polysemanticity with PRISM: A Multi-Concept Feature
Description Framework | https://arxiv.org/abs/2506.15538 | [
{
"url": "https://github.com/lkopf/prism",
"owner": "lkopf",
"name": "prism",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2505.14975 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14975?include_resources=true | 200 | true | 72913 | Flattening Hierarchies with Policy Bootstrapping | https://arxiv.org/abs/2505.14975 | [] | [
{
"url": "https://johnlyzhou.github.io/saw/",
"is_official": true
}
] | [] | [] | [] |
2506.06487 | https://paperswithcode.co/api/v1/papers/arxiv/2506.06487?include_resources=true | 200 | true | 87301 | BeliefMapNav: 3D Voxel-Based Belief Map for Zero-Shot Object Navigation | https://arxiv.org/abs/2506.06487 | [] | [] | [] | [] | [] |
2511.19808 | https://paperswithcode.co/api/v1/papers/arxiv/2511.19808?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.12104 | https://paperswithcode.co/api/v1/papers/arxiv/2506.12104?include_resources=true | 200 | true | 86595 | Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents | https://arxiv.org/abs/2506.12104 | [] | [] | [] | [] | [] |
2511.15055 | https://paperswithcode.co/api/v1/papers/arxiv/2511.15055?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.02813 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02813?include_resources=true | 200 | true | 87197 | Brain-Like Processing Pathways Form in Models With Heterogeneous Experts | https://arxiv.org/abs/2506.02813 | [] | [] | [] | [] | [] |
2505.19700 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19700?include_resources=true | 200 | true | 86312 | Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models | https://arxiv.org/abs/2505.19700 | [] | [] | [] | [] | [] |
2412.05718 | https://paperswithcode.co/api/v1/papers/arxiv/2412.05718?include_resources=true | 200 | true | 41180 | RLZero: Direct Policy Inference from Language Without In-Domain Supervision | https://arxiv.org/abs/2412.05718v2 | [] | [
{
"url": "https://hari-sikchi.github.io/rlzero",
"is_official": true
}
] | [] | [] | [] |
2407.11477 | https://paperswithcode.co/api/v1/papers/arxiv/2407.11477?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.12760 | https://paperswithcode.co/api/v1/papers/arxiv/2511.12760?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.14704 | https://paperswithcode.co/api/v1/papers/arxiv/2502.14704?include_resources=true | 200 | true | 87280 | Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting | https://arxiv.org/abs/2502.14704 | [] | [] | [] | [] | [] |
2505.13104 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13104?include_resources=true | 200 | true | 87225 | A Unified Framework for the Transportability of Population-Level Causal Measures | https://arxiv.org/abs/2505.13104 | [] | [] | [] | [] | [] |
2511.01618 | https://paperswithcode.co/api/v1/papers/arxiv/2511.01618?include_resources=true | 200 | true | 54028 | Actial: Activate Spatial Reasoning Ability of Multimodal Large Language
Models | https://arxiv.org/abs/2511.01618 | [
{
"url": "https://github.com/warmsnow-sh/Actial",
"owner": "warmsnow-sh",
"name": "Actial",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2510.06077 | https://paperswithcode.co/api/v1/papers/arxiv/2510.06077?include_resources=true | 200 | true | 66870 | When Thinking Drifts: Evidential Grounding for Robust Video Reasoning | https://arxiv.org/abs/2510.06077 | [] | [] | [] | [] | [] |
2503.01342 | https://paperswithcode.co/api/v1/papers/arxiv/2503.01342?include_resources=true | 200 | true | 45320 | UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface | https://arxiv.org/abs/2503.01342 | [
{
"url": "https://github.com/nnnth/ufo",
"owner": "nnnth",
"name": "UFO",
"stars": 261,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2410.06126 | https://paperswithcode.co/api/v1/papers/arxiv/2410.06126?include_resources=true | 200 | true | 38093 | $X^2$-DFD: A framework for eXplainable and eXtendable Deepfake Detection | https://arxiv.org/abs/2410.06126v3 | [] | [] | [] | [] | [] |
2410.19236 | https://paperswithcode.co/api/v1/papers/arxiv/2410.19236?include_resources=true | 200 | true | 86236 | SHAP zero Explains Biological Sequence Models with Near-zero Marginal Cost for Future Queries | https://arxiv.org/abs/2410.19236 | [] | [] | [] | [] | [] |
2511.17225 | https://paperswithcode.co/api/v1/papers/arxiv/2511.17225?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.18638 | https://paperswithcode.co/api/v1/papers/arxiv/2510.18638?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.19670 | https://paperswithcode.co/api/v1/papers/arxiv/2502.19670?include_resources=true | 200 | true | 86877 | Training Robust Graph Neural Networks by Modeling Noise Dependencies | https://arxiv.org/abs/2502.19670 | [] | [] | [] | [] | [] |
2502.09933 | https://paperswithcode.co/api/v1/papers/arxiv/2502.09933?include_resources=true | 200 | true | 44182 | MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning? | https://arxiv.org/abs/2502.09933v4 | [
{
"url": "https://github.com/kaiyan289/mir-bench",
"owner": "KaiYan289",
"name": "MIR-Bench",
"stars": 4,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://github.com/KaiYan289/MIR-Bench",
"is_official": true
}
] | [] | [] | [] |
2506.06470 | https://paperswithcode.co/api/v1/papers/arxiv/2506.06470?include_resources=true | 200 | true | 86668 | SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation | https://arxiv.org/abs/2506.06470 | [] | [] | [] | [] | [] |
2502.13119 | https://paperswithcode.co/api/v1/papers/arxiv/2502.13119?include_resources=true | 200 | true | 44513 | STEER-ME: Assessing the Microeconomic Reasoning of Large Language Models | https://arxiv.org/abs/2502.13119v2 | [] | [] | [] | [] | [] |
2506.08616 | https://paperswithcode.co/api/v1/papers/arxiv/2506.08616?include_resources=true | 200 | true | 86949 | Generalizing while preserving monotonicity in comparison-based preference learning models | https://arxiv.org/abs/2506.08616 | [] | [] | [] | [] | [] |
2509.15693 | https://paperswithcode.co/api/v1/papers/arxiv/2509.15693?include_resources=true | 200 | true | 87092 | SceneForge: Enhancing 3D-text alignment with Structured Scene Compositions | https://arxiv.org/abs/2509.15693 | [] | [] | [] | [] | [] |
2510.20235 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20235?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.07396 | https://paperswithcode.co/api/v1/papers/arxiv/2511.07396?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2512.00930 | https://paperswithcode.co/api/v1/papers/arxiv/2512.00930?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.11966 | https://paperswithcode.co/api/v1/papers/arxiv/2511.11966?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.21167 | https://paperswithcode.co/api/v1/papers/arxiv/2510.21167?include_resources=true | 200 | true | 65925 | Blockwise Flow Matching: Improving Flow Matching Models For Efficient
High-Quality Generation | https://arxiv.org/abs/2510.21167 | [
{
"url": "https://github.com/mlvlab/Blockwise-Flow-Matching",
"owner": "mlvlab",
"name": "Blockwise-Flow-Matching",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2503.10037 | https://paperswithcode.co/api/v1/papers/arxiv/2503.10037?include_resources=true | 200 | true | 46013 | Investigating and Improving Counter-Stereotypical Action Relation in Text-to-Image Diffusion Models | https://arxiv.org/abs/2503.10037 | [
{
"url": "https://github.com/sinamalakouti/ReBind",
"owner": "sinamalakouti",
"name": "ReBind",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://sinamalakouti.github.io/ReBind/",
"is_official": true
}
] | [] | [] | [] |
2509.23115 | https://paperswithcode.co/api/v1/papers/arxiv/2509.23115?include_resources=true | 200 | true | 67622 | RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human
Mobility | https://arxiv.org/abs/2509.23115 | [
{
"url": "https://github.com/he-h/rhythm",
"owner": "he-h",
"name": "rhythm",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2505.14884 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14884?include_resources=true | 200 | true | 49238 | Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity | https://arxiv.org/abs/2505.14884 | [
{
"url": "https://github.com/susavlsh10/polar-sparsity",
"owner": "susavlsh10",
"name": "Polar-Sparsity",
"stars": 6,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2511.02966 | https://paperswithcode.co/api/v1/papers/arxiv/2511.02966?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.16180 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16180?include_resources=true | 200 | true | 86198 | Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph | https://arxiv.org/abs/2509.16180 | [] | [] | [] | [] | [] |
2503.16797 | https://paperswithcode.co/api/v1/papers/arxiv/2503.16797?include_resources=true | 200 | true | 87432 | A learnability analysis on neuro-symbolic learning | https://arxiv.org/abs/2503.16797 | [] | [] | [] | [] | [] |
2511.06024 | https://paperswithcode.co/api/v1/papers/arxiv/2511.06024?include_resources=true | 200 | true | 65273 | Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era | https://arxiv.org/abs/2511.06024 | [
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"owner": "Lu-Feng",
"name": "ImAge",
"stars": 34,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2505.16239 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16239?include_resources=true | 200 | true | 49383 | DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution | https://arxiv.org/abs/2505.16239 | [
{
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"owner": "zhengchen1999",
"name": "DOVE",
"stars": 120,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2510.20607 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20607?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.16091 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16091?include_resources=true | 200 | true | 72870 | OSCAR: One-Step Diffusion Codec Across Multiple Bit-rates | https://arxiv.org/abs/2505.16091 | [
{
"url": "https://github.com/jp-guo/oscar",
"owner": "jp-guo",
"name": "oscar",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2503.19470 | https://paperswithcode.co/api/v1/papers/arxiv/2503.19470?include_resources=true | 200 | true | 46711 | ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning | https://arxiv.org/abs/2503.19470v2 | [
{
"url": "https://github.com/agent-rl/research",
"owner": "Agent-RL",
"name": "ReSearch",
"stars": 1269,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2505.20189 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20189?include_resources=true | 200 | true | 86900 | Private Geometric Median in Nearly-Linear Time | https://arxiv.org/abs/2505.20189 | [] | [] | [] | [] | [] |
2505.17293 | https://paperswithcode.co/api/v1/papers/arxiv/2505.17293?include_resources=true | 200 | true | 87156 | Model-Free Graph Data Selection under Distribution Shift | https://arxiv.org/abs/2505.17293 | [] | [] | [] | [] | [] |
2510.08565 | https://paperswithcode.co/api/v1/papers/arxiv/2510.08565?include_resources=true | 200 | true | 53373 | NaViL: Rethinking Scaling Properties of Native Multimodal Large Language
Models under Data Constraints | https://arxiv.org/abs/2510.08565 | [
{
"url": "https://github.com/OpenGVLab/NaViL",
"owner": "OpenGVLab",
"name": "NaViL",
"stars": 87,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://internvl.github.io/blog/2025-10-10-NaViL/",
"is_official": true
}
] | [] | [] | [] |
2505.10007 | https://paperswithcode.co/api/v1/papers/arxiv/2505.10007?include_resources=true | 200 | true | 87259 | Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning | https://arxiv.org/abs/2505.10007 | [] | [] | [] | [] | [] |
2504.15827 | https://paperswithcode.co/api/v1/papers/arxiv/2504.15827?include_resources=true | 200 | true | 86119 | DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers | https://arxiv.org/abs/2504.15827 | [] | [] | [] | [] | [] |
2510.00296 | https://paperswithcode.co/api/v1/papers/arxiv/2510.00296?include_resources=true | 200 | true | 86368 | Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT | https://arxiv.org/abs/2510.00296 | [
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2510.13169 | https://paperswithcode.co/api/v1/papers/arxiv/2510.13169?include_resources=true | 200 | true | 85938 | Universally Invariant Learning in Equivariant GNNs | https://arxiv.org/abs/2510.13169 | [] | [] | [] | [] | [] |
2406.16523 | https://paperswithcode.co/api/v1/papers/arxiv/2406.16523?include_resources=true | 200 | true | 85932 | YEAST: Yet Another Sequential Test | https://arxiv.org/abs/2406.16523 | [] | [] | [] | [] | [] |
2506.08347 | https://paperswithcode.co/api/v1/papers/arxiv/2506.08347?include_resources=true | 200 | true | 86449 | Differentially Private Relational Learning with Entity-level Privacy Guarantees | https://arxiv.org/abs/2506.08347 | [
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2510.18988 | https://paperswithcode.co/api/v1/papers/arxiv/2510.18988?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.10168 | https://paperswithcode.co/api/v1/papers/arxiv/2506.10168?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.10704 | https://paperswithcode.co/api/v1/papers/arxiv/2505.10704?include_resources=true | 200 | true | 48795 | ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data | https://arxiv.org/abs/2505.10704 | [
{
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2502.00313 | https://paperswithcode.co/api/v1/papers/arxiv/2502.00313?include_resources=true | 200 | true | 85970 | Distributive Fairness in Large Language Models: Evaluating Alignment with Human Values | https://arxiv.org/abs/2502.00313 | [] | [] | [] | [] | [] |
2310.13862 | https://paperswithcode.co/api/v1/papers/arxiv/2310.13862?include_resources=true | 200 | true | 87457 | Competitive Advantage Attacks to Decentralized Federated Learning | https://arxiv.org/abs/2310.13862 | [] | [] | [] | [] | [] |
2511.00344 | https://paperswithcode.co/api/v1/papers/arxiv/2511.00344?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2512.06612 | https://paperswithcode.co/api/v1/papers/arxiv/2512.06612?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2411.13029 | https://paperswithcode.co/api/v1/papers/arxiv/2411.13029?include_resources=true | 200 | true | 86147 | Probably Approximately Precision and Recall Learning | https://arxiv.org/abs/2411.13029 | [] | [] | [] | [] | [] |
2503.11146 | https://paperswithcode.co/api/v1/papers/arxiv/2503.11146?include_resources=true | 200 | true | 86085 | Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning | https://arxiv.org/abs/2503.11146 | [] | [] | [] | [] | [] |
2512.23858 | https://paperswithcode.co/api/v1/papers/arxiv/2512.23858?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2410.15392 | https://paperswithcode.co/api/v1/papers/arxiv/2410.15392?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.14096 | https://paperswithcode.co/api/v1/papers/arxiv/2511.14096?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.17626 | https://paperswithcode.co/api/v1/papers/arxiv/2510.17626?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.12220 | https://paperswithcode.co/api/v1/papers/arxiv/2510.12220?include_resources=true | 200 | true | 87227 | Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory | https://arxiv.org/abs/2510.12220 | [] | [] | [] | [] | [] |
2505.05226 | https://paperswithcode.co/api/v1/papers/arxiv/2505.05226?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.23305 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23305?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.23799 | https://paperswithcode.co/api/v1/papers/arxiv/2506.23799?include_resources=true | 200 | true | 87342 | KAIROS: Scalable Model-Agnostic Data Valuation | https://arxiv.org/abs/2506.23799 | [] | [] | [] | [] | [] |
2510.15444 | https://paperswithcode.co/api/v1/papers/arxiv/2510.15444?include_resources=true | 200 | true | 53642 | A Theoretical Study on Bridging Internal Probability and
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},
{
"url": "https://wnjxyk.github.io/RPC",
"is_official": true
}
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2510.16607 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16607?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.16333 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16333?include_resources=true | 200 | true | 49396 | Understanding Differential Transformer Unchains Pretrained Self-Attentions | https://arxiv.org/abs/2505.16333 | [] | [] | [] | [] | [] |
2506.11430 | https://paperswithcode.co/api/v1/papers/arxiv/2506.11430?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.03164 | https://paperswithcode.co/api/v1/papers/arxiv/2506.03164?include_resources=true | 200 | true | 86243 | Test-Time Scaling of Diffusion Models via Noise Trajectory Search | https://arxiv.org/abs/2506.03164 | [] | [] | [] | [] | [] |
2506.23075 | https://paperswithcode.co/api/v1/papers/arxiv/2506.23075?include_resources=true | 200 | true | 85797 | CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding | https://arxiv.org/abs/2506.23075 | [] | [] | [] | [] | [] |
2510.27647 | https://paperswithcode.co/api/v1/papers/arxiv/2510.27647?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
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