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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
2505.23583 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23583?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.08043 | https://paperswithcode.co/api/v1/papers/arxiv/2511.08043?include_resources=true | 200 | true | 54149 | DynaAct: Large Language Model Reasoning with Dynamic Action Spaces | https://arxiv.org/abs/2511.08043 | [
{
"url": "https://github.com/zhaoxlpku/DynaAct",
"owner": "zhaoxlpku",
"name": "DynaAct",
"stars": 16,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2501.19182 | https://paperswithcode.co/api/v1/papers/arxiv/2501.19182?include_resources=true | 200 | true | 85735 | A compressive-expressive communication framework for compositional representations | https://arxiv.org/abs/2501.19182 | [] | [] | [] | [] | [] |
2509.16902 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16902?include_resources=true | 200 | true | 85712 | FedEL: Federated Elastic Learning for Heterogeneous Devices | https://arxiv.org/abs/2509.16902 | [] | [] | [] | [] | [] |
2505.09075 | https://paperswithcode.co/api/v1/papers/arxiv/2505.09075?include_resources=true | 200 | true | 86996 | Risk Bounds For Distributional Regression | https://arxiv.org/abs/2505.09075 | [] | [] | [] | [] | [] |
2510.21449 | https://paperswithcode.co/api/v1/papers/arxiv/2510.21449?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.00138 | https://paperswithcode.co/api/v1/papers/arxiv/2506.00138?include_resources=true | 200 | true | 86305 | Autonomous Behavior and Whole-Brain Dynamics Emerge in Embodied Zebrafish Agents with Model-based Intrinsic Motivation | https://arxiv.org/abs/2506.00138 | [] | [] | [] | [] | [] |
2410.08868 | https://paperswithcode.co/api/v1/papers/arxiv/2410.08868?include_resources=true | 200 | true | 86816 | On the Convergence of Single-Timescale Actor-Critic | https://arxiv.org/abs/2410.08868 | [] | [] | [] | [] | [] |
2506.05957 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05957?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2512.16639 | https://paperswithcode.co/api/v1/papers/arxiv/2512.16639?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.24379 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24379?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.14549 | https://paperswithcode.co/api/v1/papers/arxiv/2506.14549?include_resources=true | 200 | true | 86774 | DreamLight: Towards Harmonious and Consistent Image Relighting | https://arxiv.org/abs/2506.14549 | [] | [] | [] | [] | [] |
2505.21426 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21426?include_resources=true | 200 | true | 86292 | Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks | https://arxiv.org/abs/2505.21426 | [] | [] | [] | [] | [] |
2501.18092 | https://paperswithcode.co/api/v1/papers/arxiv/2501.18092?include_resources=true | 200 | true | 86398 | Learning Provably Improves the Convergence of Gradient Descent | https://arxiv.org/abs/2501.18092 | [] | [] | [] | [] | [] |
2409.06998 | https://paperswithcode.co/api/v1/papers/arxiv/2409.06998?include_resources=true | 200 | true | 86931 | Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants | https://arxiv.org/abs/2409.06998 | [
{
"url": "https://github.com/hydrapse/moscat",
"owner": "hydrapse",
"name": "moscat",
"stars": 5,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2506.03444 | https://paperswithcode.co/api/v1/papers/arxiv/2506.03444?include_resources=true | 200 | true | 85876 | Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior | https://arxiv.org/abs/2506.03444 | [] | [] | [] | [] | [] |
2502.01113 | https://paperswithcode.co/api/v1/papers/arxiv/2502.01113?include_resources=true | 200 | true | 43549 | GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation | https://arxiv.org/abs/2502.01113 | [
{
"url": "https://github.com/rmanluo/gfm-rag",
"owner": "RManLuo",
"name": "gfm-rag",
"stars": 198,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2505.24298 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24298?include_resources=true | 200 | true | 50217 | AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning | https://arxiv.org/abs/2505.24298v2 | [
{
"url": "https://github.com/inclusionai/areal",
"owner": "inclusionAI",
"name": "AReaL",
"stars": 3244,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2510.19314 | https://paperswithcode.co/api/v1/papers/arxiv/2510.19314?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2410.01969 | https://paperswithcode.co/api/v1/papers/arxiv/2410.01969?include_resources=true | 200 | true | 86974 | Which Algorithms Have Tight Generalization Bounds? | https://arxiv.org/abs/2410.01969 | [] | [] | [] | [] | [] |
2510.05396 | https://paperswithcode.co/api/v1/papers/arxiv/2510.05396?include_resources=true | 200 | true | 53296 | Scalable In-context Ranking with Generative Models | https://arxiv.org/abs/2510.05396 | [
{
"url": "https://github.com/nilesh2797/BlockRank",
"owner": "nilesh2797",
"name": "BlockRank",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2305.06227 | https://paperswithcode.co/api/v1/papers/arxiv/2305.06227?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2507.19172 | https://paperswithcode.co/api/v1/papers/arxiv/2507.19172?include_resources=true | 200 | true | 70724 | PhysDrive: A Multimodal Remote Physiological Measurement Dataset for
In-vehicle Driver Monitoring | https://arxiv.org/abs/2507.19172 | [] | [] | [] | [] | [] |
2505.07260 | https://paperswithcode.co/api/v1/papers/arxiv/2505.07260?include_resources=true | 200 | true | 48625 | UMoE: Unifying Attention and FFN with Shared Experts | https://arxiv.org/abs/2505.07260 | [
{
"url": "https://github.com/ysngki/umoe",
"owner": "ysngki",
"name": "UMoE",
"stars": 21,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2510.16289 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16289?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.22679 | https://paperswithcode.co/api/v1/papers/arxiv/2503.22679?include_resources=true | 200 | true | 46951 | Q-Insight: Understanding Image Quality via Visual Reinforcement Learning | https://arxiv.org/abs/2503.22679 | [
{
"url": "https://github.com/lwq20020127/q-insight",
"owner": "lwq20020127",
"name": "Q-Insight",
"stars": 142,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2504.09184 | https://paperswithcode.co/api/v1/papers/arxiv/2504.09184?include_resources=true | 200 | true | 47591 | Parameterized Synthetic Text Generation with SimpleStories | https://arxiv.org/abs/2504.09184v2 | [
{
"url": "https://github.com/lennart-finke/simple_stories_generate",
"owner": "lennart-finke",
"name": "simple_stories_generate",
"stars": 10,
"is_official": true,
"source": "links_json"
}
] | [
{
"url": "https://fi-le.net/simplestories/",
"is_official": true
}
] | [] | [] | [] |
2505.11089 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11089?include_resources=true | 200 | true | 87483 | Inexact Column Generation for Bayesian Network Structure Learning via Difference-of-Submodular Optimization | https://arxiv.org/abs/2505.11089 | [] | [] | [] | [] | [] |
2510.20199 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20199?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.06160 | https://paperswithcode.co/api/v1/papers/arxiv/2506.06160?include_resources=true | 200 | true | 86708 | Acceleration via silver step-size on Riemannian manifolds with applications to Wasserstein space | https://arxiv.org/abs/2506.06160 | [] | [] | [] | [] | [] |
2505.18738 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18738?include_resources=true | 200 | true | 87332 | AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping | https://arxiv.org/abs/2505.18738 | [] | [] | [] | [] | [] |
2507.12107 | https://paperswithcode.co/api/v1/papers/arxiv/2507.12107?include_resources=true | 200 | true | 85853 | Non-Adaptive Adversarial Face Generation | https://arxiv.org/abs/2507.12107 | [] | [] | [] | [] | [] |
2505.16687 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16687?include_resources=true | 200 | true | 86473 | One-Step Diffusion-Based Image Compression with Semantic Distillation | https://arxiv.org/abs/2505.16687 | [] | [] | [] | [] | [] |
2506.16055 | https://paperswithcode.co/api/v1/papers/arxiv/2506.16055?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.17393 | https://paperswithcode.co/api/v1/papers/arxiv/2509.17393?include_resources=true | 200 | true | 68030 | Program Synthesis via Test-Time Transduction | https://arxiv.org/abs/2509.17393 | [
{
"url": "https://github.com/klee972/SYNTRA",
"owner": "klee972",
"name": "SYNTRA",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2505.16037 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16037?include_resources=true | 200 | true | 87097 | Causal LLM Routing: End-to-End Regret Minimization from Observational Data | https://arxiv.org/abs/2505.16037 | [] | [] | [] | [] | [] |
2506.13059 | https://paperswithcode.co/api/v1/papers/arxiv/2506.13059?include_resources=true | 200 | true | 85934 | Multipole Attention for Efficient Long Context Reasoning | https://arxiv.org/abs/2506.13059 | [
{
"url": "https://github.com/squeezeailab/multipoleattention",
"owner": "squeezeailab",
"name": "multipoleattention",
"stars": 23,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2506.00711 | https://paperswithcode.co/api/v1/papers/arxiv/2506.00711?include_resources=true | 200 | true | 72468 | QoQ-Med: Building Multimodal Clinical Foundation Models with
Domain-Aware GRPO Training | https://arxiv.org/abs/2506.00711 | [
{
"url": "https://github.com/DDVD233/QoQ_Med",
"owner": "DDVD233",
"name": "QoQ_Med",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2505.13519 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13519?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.12455 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12455?include_resources=true | 200 | true | 72988 | AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections | https://arxiv.org/abs/2505.12455 | [] | [] | [] | [] | [] |
2510.16780 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16780?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.04123 | https://paperswithcode.co/api/v1/papers/arxiv/2511.04123?include_resources=true | 200 | true | 65353 | Text to Sketch Generation with Multi-Styles | https://arxiv.org/abs/2511.04123 | [
{
"url": "https://github.com/CMACH508/M3S",
"owner": "CMACH508",
"name": "M3S",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2506.05466 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05466?include_resources=true | 200 | true | 50670 | Towards Reliable Identification of Diffusion-based Image Manipulations | https://arxiv.org/abs/2506.05466v2 | [] | [
{
"url": "https://alex-costanzino.github.io/radar/",
"is_official": true
}
] | [] | [] | [] |
2501.01895 | https://paperswithcode.co/api/v1/papers/arxiv/2501.01895?include_resources=true | 200 | true | 42460 | EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation | https://arxiv.org/abs/2501.01895v2 | [] | [
{
"url": "https://sites.google.com/view/enerverse",
"is_official": true
}
] | [] | [] | [] |
2511.19566 | https://paperswithcode.co/api/v1/papers/arxiv/2511.19566?include_resources=true | 200 | true | 64608 | ModHiFi: Identifying High Fidelity predictive components for Model Modification | https://arxiv.org/abs/2511.19566 | [] | [] | [] | [] | [] |
2509.23135 | https://paperswithcode.co/api/v1/papers/arxiv/2509.23135?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2410.22264 | https://paperswithcode.co/api/v1/papers/arxiv/2410.22264?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.18630 | https://paperswithcode.co/api/v1/papers/arxiv/2511.18630?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.12371 | https://paperswithcode.co/api/v1/papers/arxiv/2506.12371?include_resources=true | 200 | true | 85718 | Path-specific effects for pulse-oximetry guided decisions in critical care | https://arxiv.org/abs/2506.12371 | [] | [] | [] | [] | [] |
2509.23373 | https://paperswithcode.co/api/v1/papers/arxiv/2509.23373?include_resources=true | 200 | true | 86386 | Graph Your Own Prompt | https://arxiv.org/abs/2509.23373 | [
{
"url": "https://github.com/darcyddx/graph-prompt",
"owner": "darcyddx",
"name": "graph-prompt",
"stars": 9,
"is_official": true,
"source": "neurips2025_import"
}
] | [
{
"url": "https://darcyddx.github.io/gcr/",
"is_official": true
}
] | [] | [] | [] |
2506.10038 | https://paperswithcode.co/api/v1/papers/arxiv/2506.10038?include_resources=true | 200 | true | 50977 | Ambient Diffusion Omni: Training Good Models with Bad Data | https://arxiv.org/abs/2506.10038 | [
{
"url": "https://github.com/giannisdaras/ambient-omni",
"owner": "giannisdaras",
"name": "ambient-omni",
"stars": 29,
"is_official": true,
"source": "links_json"
}
] | [
{
"url": "https://giannisdaras.github.io/publication/ambient_omni",
"is_official": true
}
] | [] | [] | [] |
2501.04126 | https://paperswithcode.co/api/v1/papers/arxiv/2501.04126?include_resources=true | 200 | true | 42593 | Stochastic Process Learning via Operator Flow Matching | https://arxiv.org/abs/2501.04126v2 | [
{
"url": "https://github.com/yzshi5/spl_ofm",
"owner": "yzshi5",
"name": "spl_ofm",
"stars": 14,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2504.19983 | https://paperswithcode.co/api/v1/papers/arxiv/2504.19983?include_resources=true | 200 | true | 86114 | Emergence and scaling laws in SGD learning of shallow neural networks | https://arxiv.org/abs/2504.19983 | [] | [] | [] | [] | [] |
2510.11083 | https://paperswithcode.co/api/v1/papers/arxiv/2510.11083?include_resources=true | 200 | true | 85971 | Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling | https://arxiv.org/abs/2510.11083 | [] | [] | [] | [] | [] |
2501.16117 | https://paperswithcode.co/api/v1/papers/arxiv/2501.16117?include_resources=true | 200 | true | 87059 | A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond | https://arxiv.org/abs/2501.16117 | [] | [] | [] | [] | [] |
2511.02347 | https://paperswithcode.co/api/v1/papers/arxiv/2511.02347?include_resources=true | 200 | true | 54047 | LTD-Bench: Evaluating Large Language Models by Letting Them Draw | https://arxiv.org/abs/2511.02347 | [
{
"url": "https://github.com/walktaster/LTD-Bench",
"owner": "walktaster",
"name": "LTD-Bench",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2506.17252 | https://paperswithcode.co/api/v1/papers/arxiv/2506.17252?include_resources=true | 200 | true | 72169 | Adaptive Batch-Wise Sample Scheduling for Direct Preference Optimization | https://arxiv.org/abs/2506.17252 | [] | [] | [] | [] | [] |
2508.20441 | https://paperswithcode.co/api/v1/papers/arxiv/2508.20441?include_resources=true | 200 | true | 86066 | Uncovering the Spectral Bias in Diagonal State Space Models | https://arxiv.org/abs/2508.20441 | [] | [] | [] | [] | [] |
2505.15257 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15257?include_resources=true | 200 | true | 72899 | When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners | https://arxiv.org/abs/2505.15257 | [] | [] | [] | [] | [] |
2510.11312 | https://paperswithcode.co/api/v1/papers/arxiv/2510.11312?include_resources=true | 200 | true | 87174 | Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis | https://arxiv.org/abs/2510.11312 | [] | [] | [] | [] | [] |
2505.19281 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19281?include_resources=true | 200 | true | 87328 | A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning | https://arxiv.org/abs/2505.19281 | [] | [] | [] | [] | [] |
2504.21370 | https://paperswithcode.co/api/v1/papers/arxiv/2504.21370?include_resources=true | 200 | true | 48258 | ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient Reasoning | https://arxiv.org/abs/2504.21370 | [] | [
{
"url": "https://jiazheng-wang-yes.github.io/ShorterBetter_ProjectPage/",
"is_official": true
}
] | [] | [] | [] |
2504.09474 | https://paperswithcode.co/api/v1/papers/arxiv/2504.09474?include_resources=true | 200 | true | 85946 | MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions | https://arxiv.org/abs/2504.09474 | [] | [] | [] | [] | [] |
2506.09338 | https://paperswithcode.co/api/v1/papers/arxiv/2506.09338?include_resources=true | 200 | true | 72088 | Know What You Don't Know: Uncertainty Calibration of Process Reward
Models | https://arxiv.org/abs/2506.09338 | [] | [] | [] | [] | [] |
2511.14778 | https://paperswithcode.co/api/v1/papers/arxiv/2511.14778?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2507.03285 | https://paperswithcode.co/api/v1/papers/arxiv/2507.03285?include_resources=true | 200 | true | 87429 | Memory Mosaics at scale | https://arxiv.org/abs/2507.03285 | [] | [] | [] | [] | [] |
2505.15315 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15315?include_resources=true | 200 | true | 86322 | Local-Global Associative Frames for Symmetry-Preserving Crystal Structure Modeling | https://arxiv.org/abs/2505.15315 | [] | [] | [] | [] | [] |
2502.04664 | https://paperswithcode.co/api/v1/papers/arxiv/2502.04664?include_resources=true | 200 | true | 86574 | Implicit Bias of Spectral Descent and Muon on Multiclass Separable Data | https://arxiv.org/abs/2502.04664 | [] | [] | [] | [] | [] |
2506.00362 | https://paperswithcode.co/api/v1/papers/arxiv/2506.00362?include_resources=true | 200 | true | 86326 | FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees | https://arxiv.org/abs/2506.00362 | [] | [] | [] | [] | [] |
2506.07171 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07171?include_resources=true | 200 | true | 86067 | RULE: Reinforcement UnLEarning Achieves Forget-retain Pareto Optimality | https://arxiv.org/abs/2506.07171 | [] | [] | [] | [] | [] |
2502.12627 | https://paperswithcode.co/api/v1/papers/arxiv/2502.12627?include_resources=true | 200 | true | 87298 | DAMamba: Vision State Space Model with Dynamic Adaptive Scan | https://arxiv.org/abs/2502.12627 | [
{
"url": "https://github.com/ltzovo/damamba",
"owner": "ltzovo",
"name": "damamba",
"stars": 57,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2505.20744 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20744?include_resources=true | 200 | true | 86078 | MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition | https://arxiv.org/abs/2505.20744 | [] | [] | [] | [] | [] |
2412.06540 | https://paperswithcode.co/api/v1/papers/arxiv/2412.06540?include_resources=true | 200 | true | 41235 | Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families | https://arxiv.org/abs/2412.06540v3 | [
{
"url": "https://github.com/felipemaiapolo/sloth",
"owner": "felipemaiapolo",
"name": "sloth",
"stars": 5,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2506.07555 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07555?include_resources=true | 200 | true | 86963 | Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries | https://arxiv.org/abs/2506.07555 | [] | [] | [] | [] | [] |
2505.19486 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19486?include_resources=true | 200 | true | 86691 | VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture | https://arxiv.org/abs/2505.19486 | [] | [] | [] | [] | [] |
2501.13018 | https://paperswithcode.co/api/v1/papers/arxiv/2501.13018?include_resources=true | 200 | true | 85710 | Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs | https://arxiv.org/abs/2501.13018 | [] | [] | [] | [] | [] |
2409.17643 | https://paperswithcode.co/api/v1/papers/arxiv/2409.17643?include_resources=true | 200 | true | 86815 | Efficient Fairness-Performance Pareto Front Computation | https://arxiv.org/abs/2409.17643 | [] | [] | [] | [] | [] |
2510.19484 | https://paperswithcode.co/api/v1/papers/arxiv/2510.19484?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.12178 | https://paperswithcode.co/api/v1/papers/arxiv/2509.12178?include_resources=true | 200 | true | 68359 | All that structure matches does not glitter | https://arxiv.org/abs/2509.12178 | [] | [] | [] | [] | [] |
2512.04550 | https://paperswithcode.co/api/v1/papers/arxiv/2512.04550?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2405.12179 | https://paperswithcode.co/api/v1/papers/arxiv/2405.12179?include_resources=true | 200 | true | 86612 | PLEIADES: Building Temporal Kernels with Orthogonal Polynomials | https://arxiv.org/abs/2405.12179 | [] | [] | [] | [] | [] |
2512.03720 | https://paperswithcode.co/api/v1/papers/arxiv/2512.03720?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.04136 | https://paperswithcode.co/api/v1/papers/arxiv/2510.04136?include_resources=true | 200 | true | 53247 | MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition | https://arxiv.org/abs/2510.04136 | [] | [] | [] | [] | [] |
2506.09937 | https://paperswithcode.co/api/v1/papers/arxiv/2506.09937?include_resources=true | 200 | true | 50956 | SAFE: Multitask Failure Detection for Vision-Language-Action Models | https://arxiv.org/abs/2506.09937 | [
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2410.02777 | https://paperswithcode.co/api/v1/papers/arxiv/2410.02777?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2404.13182 | https://paperswithcode.co/api/v1/papers/arxiv/2404.13182?include_resources=true | 200 | true | 87442 | Spectral Convolutional Conditional Neural Processes | https://arxiv.org/abs/2404.13182 | [] | [] | [] | [] | [] |
2503.20117 | https://paperswithcode.co/api/v1/papers/arxiv/2503.20117?include_resources=true | 200 | true | 86358 | Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable | https://arxiv.org/abs/2503.20117 | [] | [] | [] | [] | [] |
2512.02339 | https://paperswithcode.co/api/v1/papers/arxiv/2512.02339?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2507.01152 | https://paperswithcode.co/api/v1/papers/arxiv/2507.01152?include_resources=true | 200 | true | 71543 | SonoGym: High Performance Simulation for Challenging Surgical Tasks with
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2308.12063 | https://paperswithcode.co/api/v1/papers/arxiv/2308.12063?include_resources=true | 200 | true | 86129 | Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks | https://arxiv.org/abs/2308.12063 | [] | [] | [] | [] | [] |
2506.22401 | https://paperswithcode.co/api/v1/papers/arxiv/2506.22401?include_resources=true | 200 | true | 86001 | Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL | https://arxiv.org/abs/2506.22401 | [] | [] | [] | [] | [] |
2510.16499 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16499?include_resources=true | 200 | true | 53699 | Automated Composition of Agents: A Knapsack Approach for Agentic
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2509.16499 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16499?include_resources=true | 200 | true | 87003 | A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective | https://arxiv.org/abs/2509.16499 | [] | [] | [] | [] | [] |
2509.18056 | https://paperswithcode.co/api/v1/papers/arxiv/2509.18056?include_resources=true | 200 | true | 52893 | TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning
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2502.01932 | https://paperswithcode.co/api/v1/papers/arxiv/2502.01932?include_resources=true | 200 | true | 74929 | VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion
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2505.22935 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22935?include_resources=true | 200 | true | 86868 | Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models | https://arxiv.org/abs/2505.22935 | [] | [] | [] | [] | [] |
2505.18185 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18185?include_resources=true | 200 | true | 72990 | BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals | https://arxiv.org/abs/2505.18185 | [
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2505.05470 | https://paperswithcode.co/api/v1/papers/arxiv/2505.05470?include_resources=true | 200 | true | 48543 | Flow-GRPO: Training Flow Matching Models via Online RL | https://arxiv.org/abs/2505.05470v2 | [
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2505.16732 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16732?include_resources=true | 200 | true | 86959 | Sequential Monte Carlo for Policy Optimization in Continuous POMDPs | https://arxiv.org/abs/2505.16732 | [] | [] | [] | [] | [] |
2506.10100 | https://paperswithcode.co/api/v1/papers/arxiv/2506.10100?include_resources=true | 200 | true | 50982 | EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models | https://arxiv.org/abs/2506.10100 | [] | [] | [] | [] | [] |
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