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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
2505.16793 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16793?include_resources=true | 200 | true | 49442 | REOBench: Benchmarking Robustness of Earth Observation Foundation Models | https://arxiv.org/abs/2505.16793 | [
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"owner": "lx709",
"name": "reobench",
"stars": 24,
"is_official": true,
"source": "links_json"
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] | [] | [] | [] | [] |
2506.06907 | https://paperswithcode.co/api/v1/papers/arxiv/2506.06907?include_resources=true | 200 | true | 87353 | Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations | https://arxiv.org/abs/2506.06907 | [] | [] | [] | [] | [] |
2505.02959 | https://paperswithcode.co/api/v1/papers/arxiv/2505.02959?include_resources=true | 200 | true | 85909 | Smooth Quadratic Prediction Markets | https://arxiv.org/abs/2505.02959 | [] | [] | [] | [] | [] |
2502.05019 | https://paperswithcode.co/api/v1/papers/arxiv/2502.05019?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.04641 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04641?include_resources=true | 200 | true | 87357 | Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders | https://arxiv.org/abs/2506.04641 | [
{
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"name": "tadisr",
"stars": 20,
"is_official": true,
"source": "neurips2025_import"
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] | [] | [] | [] | [] |
2510.00621 | https://paperswithcode.co/api/v1/papers/arxiv/2510.00621?include_resources=true | 200 | true | 67227 | FAME: Adaptive Functional Attention with Expert Routing for
Function-on-Function Regression | https://arxiv.org/abs/2510.00621 | [] | [] | [] | [] | [] |
2509.15548 | https://paperswithcode.co/api/v1/papers/arxiv/2509.15548?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.17786 | https://paperswithcode.co/api/v1/papers/arxiv/2509.17786?include_resources=true | 200 | true | 52916 | Accurate and Efficient Low-Rank Model Merging in Core Space | https://arxiv.org/abs/2509.17786 | [
{
"url": "https://github.com/apanariello4/core-space-merging",
"owner": "apanariello4",
"name": "core-space-merging",
"stars": 26,
"is_official": true,
"source": "hf_api"
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] | [] | [] | [] | [] |
2510.00514 | https://paperswithcode.co/api/v1/papers/arxiv/2510.00514?include_resources=true | 200 | true | 67233 | EuroSpeech: A Multilingual Speech Corpus | https://arxiv.org/abs/2510.00514 | [] | [] | [] | [] | [] |
2505.11157 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11157?include_resources=true | 200 | true | 48841 | Attention on the Sphere | https://arxiv.org/abs/2505.11157 | [
{
"url": "https://github.com/nvidia/torch-harmonics",
"owner": "nvidia",
"name": "torch-harmonics",
"stars": 616,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2506.02293 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02293?include_resources=true | 200 | true | 85886 | On Universality Classes of Equivariant Networks | https://arxiv.org/abs/2506.02293 | [] | [] | [] | [] | [] |
2506.06305 | https://paperswithcode.co/api/v1/papers/arxiv/2506.06305?include_resources=true | 200 | true | 87305 | Template-Guided 3D Molecular Pose Generation via Flow Matching and Differentiable Optimization | https://arxiv.org/abs/2506.06305 | [] | [] | [] | [] | [] |
2404.15617 | https://paperswithcode.co/api/v1/papers/arxiv/2404.15617?include_resources=true | 200 | true | 86886 | DPO: A Differential and Pointwise Control Approach to Reinforcement Learning | https://arxiv.org/abs/2404.15617 | [] | [] | [] | [] | [] |
2502.07523 | https://paperswithcode.co/api/v1/papers/arxiv/2502.07523?include_resources=true | 200 | true | 87141 | Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization | https://arxiv.org/abs/2502.07523 | [] | [] | [] | [] | [] |
2502.15776 | https://paperswithcode.co/api/v1/papers/arxiv/2502.15776?include_resources=true | 200 | true | 44782 | Logic.py: Bridging the Gap between LLMs and Constraint Solvers | https://arxiv.org/abs/2502.15776 | [
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"name": "polymath",
"stars": 38,
"is_official": true,
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] | [] | [] | [] | [] |
2506.14674 | https://paperswithcode.co/api/v1/papers/arxiv/2506.14674?include_resources=true | 200 | true | 71927 | Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models | https://arxiv.org/abs/2506.14674 | [
{
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"owner": "lingli1996",
"name": "GLOBE",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2601.09825 | https://paperswithcode.co/api/v1/papers/arxiv/2601.09825?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.16869 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16869?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.16381 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16381?include_resources=true | 200 | true | 49400 | PaTH Attention: Position Encoding via Accumulating Householder Transformations | https://arxiv.org/abs/2505.16381 | [
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{
"url": "https://github.com/sustcsonglin/flash-linear-attention",
"owner": "sustcsonglin",
"name"... | [] | [] | [] | [] |
2407.04842 | https://paperswithcode.co/api/v1/papers/arxiv/2407.04842?include_resources=true | 200 | true | 34226 | MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? | https://arxiv.org/abs/2407.04842 | [
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"stars": 47,
"is_official": true,
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}
] | [] | [] | [] | [] |
2502.12148 | https://paperswithcode.co/api/v1/papers/arxiv/2502.12148?include_resources=true | 200 | true | 44426 | HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation | https://arxiv.org/abs/2502.12148 | [
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"stars": 73,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2506.12027 | https://paperswithcode.co/api/v1/papers/arxiv/2506.12027?include_resources=true | 200 | true | 72867 | Constant Bit-size Transformers Are Turing Complete | https://arxiv.org/abs/2506.12027 | [] | [] | [] | [] | [] |
2406.04772 | https://paperswithcode.co/api/v1/papers/arxiv/2406.04772?include_resources=true | 200 | true | 87120 | REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning | https://arxiv.org/abs/2406.04772 | [] | [] | [] | [] | [] |
2502.13465 | https://paperswithcode.co/api/v1/papers/arxiv/2502.13465?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.16994 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16994?include_resources=true | 200 | true | 49478 | $\text{R}^2\text{ec}$: Towards Large Recommender Models with Reasoning | https://arxiv.org/abs/2505.16994 | [
{
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"owner": "YRYangang",
"name": "RRec",
"stars": 33,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2506.12851 | https://paperswithcode.co/api/v1/papers/arxiv/2506.12851?include_resources=true | 200 | true | 51123 | KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills | https://arxiv.org/abs/2506.12851 | [
{
"url": "https://github.com/TeleHuman/PBHC",
"owner": "TeleHuman",
"name": "PBHC",
"stars": 0,
"is_official": true,
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] | [
{
"url": "https://kungfu-bot.github.io/",
"is_official": true
}
] | [] | [] | [] |
2510.00495 | https://paperswithcode.co/api/v1/papers/arxiv/2510.00495?include_resources=true | 200 | true | 67237 | Normal-Abnormal Guided Generalist Anomaly Detection | https://arxiv.org/abs/2510.00495 | [
{
"url": "https://github.com/JasonKyng/NAGL",
"owner": "JasonKyng",
"name": "NAGL",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2506.24125 | https://paperswithcode.co/api/v1/papers/arxiv/2506.24125?include_resources=true | 200 | true | 86184 | FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation | https://arxiv.org/abs/2506.24125 | [
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] | [] | [] | [] | [] |
2502.13329 | https://paperswithcode.co/api/v1/papers/arxiv/2502.13329?include_resources=true | 200 | true | 86993 | Language Models Can Predict Their Own Behavior | https://arxiv.org/abs/2502.13329 | [] | [] | [] | [] | [] |
2505.22038 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22038?include_resources=true | 200 | true | 72597 | Balanced Token Pruning: Accelerating Vision Language Models Beyond Local
Optimization | https://arxiv.org/abs/2505.22038 | [
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] | [] | [] | [] | [] |
2505.14215 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14215?include_resources=true | 200 | true | 86572 | Safety Devolution in AI Agents | https://arxiv.org/abs/2505.14215 | [] | [] | [] | [] | [] |
2505.15433 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15433?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.19210 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19210?include_resources=true | 200 | true | 49703 | Towards Understanding the Mechanisms of Classifier-Free Guidance | https://arxiv.org/abs/2505.19210 | [] | [] | [] | [] | [] |
2507.03483 | https://paperswithcode.co/api/v1/papers/arxiv/2507.03483?include_resources=true | 200 | true | 51677 | BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset | https://arxiv.org/abs/2507.03483v2 | [
{
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"stars": 18,
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] | [
{
"url": "https://bmmr.pages.dev/",
"is_official": true
}
] | [] | [] | [] |
2505.21647 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21647?include_resources=true | 200 | true | 85922 | QuARI: Query Adaptive Retrieval Improvement | https://arxiv.org/abs/2505.21647 | [] | [] | [] | [] | [] |
2502.10361 | https://paperswithcode.co/api/v1/papers/arxiv/2502.10361?include_resources=true | 200 | true | 74686 | Enhancing Multilingual LLM Pretraining with Model-Based Data Selection | https://arxiv.org/abs/2502.10361 | [] | [] | [] | [] | [] |
2502.18099 | https://paperswithcode.co/api/v1/papers/arxiv/2502.18099?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2504.02605 | https://paperswithcode.co/api/v1/papers/arxiv/2504.02605?include_resources=true | 200 | true | 47238 | Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving | https://arxiv.org/abs/2504.02605 | [
{
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{
"url": "https://github.com/multi-swe-bench/mopenhands",
"owner": "multi-swe-bench",
"name": "mo... | [
{
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"is_official": true
}
] | [] | [] | [] |
2506.16471 | https://paperswithcode.co/api/v1/papers/arxiv/2506.16471?include_resources=true | 200 | true | 86256 | Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities | https://arxiv.org/abs/2506.16471 | [
{
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] | [] | [] | [] | [] |
2511.18559 | https://paperswithcode.co/api/v1/papers/arxiv/2511.18559?include_resources=true | 200 | true | 64662 | C3Po: Cross-View Cross-Modality Correspondence by Pointmap Prediction | https://arxiv.org/abs/2511.18559 | [] | [] | [] | [] | [] |
2502.01826 | https://paperswithcode.co/api/v1/papers/arxiv/2502.01826?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.08390 | https://paperswithcode.co/api/v1/papers/arxiv/2506.08390?include_resources=true | 200 | true | 86452 | On Reasoning Strength Planning in Large Reasoning Models | https://arxiv.org/abs/2506.08390 | [
{
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] | [] | [] | [] | [] |
2502.16387 | https://paperswithcode.co/api/v1/papers/arxiv/2502.16387?include_resources=true | 200 | true | 86675 | Simultaneous Swap Regret Minimization via KL-Calibration | https://arxiv.org/abs/2502.16387 | [] | [] | [] | [] | [] |
2511.16842 | https://paperswithcode.co/api/v1/papers/arxiv/2511.16842?include_resources=true | 200 | true | 64761 | Fantastic Bugs and Where to Find Them in AI Benchmarks | https://arxiv.org/abs/2511.16842 | [
{
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"stars": 4,
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] | [] | [] | [] | [] |
2410.19933 | https://paperswithcode.co/api/v1/papers/arxiv/2410.19933?include_resources=true | 200 | true | 86415 | Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization | https://arxiv.org/abs/2410.19933 | [] | [] | [] | [] | [] |
2505.20862 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20862?include_resources=true | 200 | true | 86065 | AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive Decoding | https://arxiv.org/abs/2505.20862 | [
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2506.10364 | https://paperswithcode.co/api/v1/papers/arxiv/2506.10364?include_resources=true | 200 | true | 87339 | Can We Infer Confidential Properties of Training Data from LLMs? | https://arxiv.org/abs/2506.10364 | [] | [] | [] | [] | [] |
2505.15277 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15277?include_resources=true | 200 | true | 49280 | Web-Shepherd: Advancing PRMs for Reinforcing Web Agents | https://arxiv.org/abs/2505.15277 | [
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"stars": 50,
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] | [] | [] | [] | [] |
2505.21177 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21177?include_resources=true | 200 | true | 72648 | SOLIDGEO: Measuring Multimodal Spatial Math Reasoning in Solid Geometry | https://arxiv.org/abs/2505.21177 | [] | [] | [] | [] | [] |
2505.14511 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14511?include_resources=true | 200 | true | 49186 | ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains | https://arxiv.org/abs/2505.14511 | [
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"stars": 6,
"is_official": true,
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] | [] | [] | [] | [] |
2502.01506 | https://paperswithcode.co/api/v1/papers/arxiv/2502.01506?include_resources=true | 200 | true | 43572 | TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets | https://arxiv.org/abs/2502.01506v4 | [
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{
"url": "https://tobyyang7.github.io/TwinMarket",
"is_official": true
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] | [] | [] | [] |
2506.07961 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07961?include_resources=true | 200 | true | 50796 | BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models | https://arxiv.org/abs/2506.07961 | [
{
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2505.22008 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22008?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2507.01961 | https://paperswithcode.co/api/v1/papers/arxiv/2507.01961?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2501.18795 | https://paperswithcode.co/api/v1/papers/arxiv/2501.18795?include_resources=true | 200 | true | 43437 | Rope to Nope and Back Again: A New Hybrid Attention Strategy | https://arxiv.org/abs/2501.18795 | [] | [] | [] | [] | [] |
2506.23135 | https://paperswithcode.co/api/v1/papers/arxiv/2506.23135?include_resources=true | 200 | true | 51574 | RoboScape: Physics-informed Embodied World Model | https://arxiv.org/abs/2506.23135 | [
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2502.03654 | https://paperswithcode.co/api/v1/papers/arxiv/2502.03654?include_resources=true | 200 | true | 43726 | Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics | https://arxiv.org/abs/2502.03654v2 | [
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2511.22549 | https://paperswithcode.co/api/v1/papers/arxiv/2511.22549?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.17195 | https://paperswithcode.co/api/v1/papers/arxiv/2503.17195?include_resources=true | 200 | true | 46543 | TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning | https://arxiv.org/abs/2503.17195 | [
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2410.10473 | https://paperswithcode.co/api/v1/papers/arxiv/2410.10473?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.04685 | https://paperswithcode.co/api/v1/papers/arxiv/2510.04685?include_resources=true | 200 | true | 85782 | Parameter-free Algorithms for the Stochastically Extended Adversarial Model | https://arxiv.org/abs/2510.04685 | [] | [] | [] | [] | [] |
2510.03608 | https://paperswithcode.co/api/v1/papers/arxiv/2510.03608?include_resources=true | 200 | true | 86550 | Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL | https://arxiv.org/abs/2510.03608 | [] | [] | [] | [] | [] |
2510.16136 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16136?include_resources=true | 200 | true | 53705 | GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer | https://arxiv.org/abs/2510.16136 | [
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{
"url": "https://sayands.github.io/guideflow3d/",
"is_official": true
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2511.10721 | https://paperswithcode.co/api/v1/papers/arxiv/2511.10721?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.04204 | https://paperswithcode.co/api/v1/papers/arxiv/2502.04204?include_resources=true | 200 | true | 86333 | Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence | https://arxiv.org/abs/2502.04204 | [
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2505.00234 | https://paperswithcode.co/api/v1/papers/arxiv/2505.00234?include_resources=true | 200 | true | 48294 | Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks | https://arxiv.org/abs/2505.00234v3 | [] | [] | [] | [] | [] |
2410.11133 | https://paperswithcode.co/api/v1/papers/arxiv/2410.11133?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.22983 | https://paperswithcode.co/api/v1/papers/arxiv/2503.22983?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.20780 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20780?include_resources=true | 200 | true | 53827 | Are Large Reasoning Models Good Translation Evaluators? Analysis and
Performance Boost | https://arxiv.org/abs/2510.20780 | [
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2505.12684 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12684?include_resources=true | 200 | true | 86199 | Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement | https://arxiv.org/abs/2505.12684 | [] | [] | [] | [] | [] |
2503.11272 | https://paperswithcode.co/api/v1/papers/arxiv/2503.11272?include_resources=true | 200 | true | 86113 | When Do Transformers Outperform Feedforward and Recurrent Networks? A Statistical Perspective | https://arxiv.org/abs/2503.11272 | [] | [] | [] | [] | [] |
2510.19050 | https://paperswithcode.co/api/v1/papers/arxiv/2510.19050?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.21475 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21475?include_resources=true | 200 | true | 87178 | Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models | https://arxiv.org/abs/2505.21475 | [] | [] | [] | [] | [] |
2509.11711 | https://paperswithcode.co/api/v1/papers/arxiv/2509.11711?include_resources=true | 200 | true | 86487 | The Quest for Universal Master Key Filters in DS-CNNs | https://arxiv.org/abs/2509.11711 | [] | [] | [] | [] | [] |
2505.15287 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15287?include_resources=true | 200 | true | 49282 | GS2E: Gaussian Splatting is an Effective Data Generator for Event Stream Generation | https://arxiv.org/abs/2505.15287 | [] | [
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2505.09471 | https://paperswithcode.co/api/v1/papers/arxiv/2505.09471?include_resources=true | 200 | true | 87226 | Fairness-aware Bayes Optimal Functional Classification | https://arxiv.org/abs/2505.09471 | [] | [] | [] | [] | [] |
2412.14326 | https://paperswithcode.co/api/v1/papers/arxiv/2412.14326?include_resources=true | 200 | true | 86956 | Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning | https://arxiv.org/abs/2412.14326 | [
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2506.21355 | https://paperswithcode.co/api/v1/papers/arxiv/2506.21355?include_resources=true | 200 | true | 51510 | SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning | https://arxiv.org/abs/2506.21355 | [
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2510.26843 | https://paperswithcode.co/api/v1/papers/arxiv/2510.26843?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.10311 | https://paperswithcode.co/api/v1/papers/arxiv/2505.10311?include_resources=true | 200 | true | 86229 | Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems | https://arxiv.org/abs/2505.10311 | [
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2504.03601 | https://paperswithcode.co/api/v1/papers/arxiv/2504.03601?include_resources=true | 200 | true | 47299 | APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay | https://arxiv.org/abs/2504.03601v3 | [
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2505.18962 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18962?include_resources=true | 200 | true | 49670 | System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts | https://arxiv.org/abs/2505.18962 | [] | [] | [] | [] | [] |
2503.04223 | https://paperswithcode.co/api/v1/papers/arxiv/2503.04223?include_resources=true | 200 | true | 86791 | Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks | https://arxiv.org/abs/2503.04223 | [
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2505.24287 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24287?include_resources=true | 200 | true | 72518 | EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding | https://arxiv.org/abs/2505.24287 | [] | [] | [] | [] | [] |
2506.01899 | https://paperswithcode.co/api/v1/papers/arxiv/2506.01899?include_resources=true | 200 | true | 85978 | The Complexity of Correlated Equilibria in Generalized Games | https://arxiv.org/abs/2506.01899 | [] | [] | [] | [] | [] |
2502.08253 | https://paperswithcode.co/api/v1/papers/arxiv/2502.08253?include_resources=true | 200 | true | 87469 | Multi-View Oriented GPLVM: Expressiveness and Efficiency | https://arxiv.org/abs/2502.08253 | [] | [] | [] | [] | [] |
2505.11576 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11576?include_resources=true | 200 | true | 86019 | Concept-Guided Interpretability via Neural Chunking | https://arxiv.org/abs/2505.11576 | [] | [] | [] | [] | [] |
2505.20922 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20922?include_resources=true | 200 | true | 85901 | Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective | https://arxiv.org/abs/2505.20922 | [] | [] | [] | [] | [] |
2511.00101 | https://paperswithcode.co/api/v1/papers/arxiv/2511.00101?include_resources=true | 200 | true | 65616 | Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving | https://arxiv.org/abs/2511.00101 | [] | [] | [] | [] | [] |
2509.26032 | https://paperswithcode.co/api/v1/papers/arxiv/2509.26032?include_resources=true | 200 | true | 85774 | Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification | https://arxiv.org/abs/2509.26032 | [] | [] | [] | [] | [] |
2506.02980 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02980?include_resources=true | 200 | true | 86562 | Non-stationary Bandit Convex Optimization: A Comprehensive Study | https://arxiv.org/abs/2506.02980 | [] | [] | [] | [] | [] |
2505.11618 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11618?include_resources=true | 200 | true | 48884 | Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges | https://arxiv.org/abs/2505.11618v2 | [
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2510.17451 | https://paperswithcode.co/api/v1/papers/arxiv/2510.17451?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.23653 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23653?include_resources=true | 200 | true | 72535 | How do Transformers Learn Implicit Reasoning? | https://arxiv.org/abs/2505.23653 | [
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2511.06461 | https://paperswithcode.co/api/v1/papers/arxiv/2511.06461?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.19006 | https://paperswithcode.co/api/v1/papers/arxiv/2502.19006?include_resources=true | 200 | true | 87351 | Gaussian Process Upper Confidence Bound Achieves Nearly-Optimal Regret in Noise-Free Gaussian Process Bandits | https://arxiv.org/abs/2502.19006 | [] | [] | [] | [] | [] |
2502.14914 | https://paperswithcode.co/api/v1/papers/arxiv/2502.14914?include_resources=true | 200 | true | 44716 | What Is a Good Caption? A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Thoroughness | https://arxiv.org/abs/2502.14914v2 | [] | [] | [] | [] | [] |
2501.14490 | https://paperswithcode.co/api/v1/papers/arxiv/2501.14490?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.03604 | https://paperswithcode.co/api/v1/papers/arxiv/2502.03604?include_resources=true | 200 | true | 85831 | Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training | https://arxiv.org/abs/2502.03604 | [] | [] | [] | [] | [] |
2507.00163 | https://paperswithcode.co/api/v1/papers/arxiv/2507.00163?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
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