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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
2502.06244 | https://paperswithcode.co/api/v1/papers/arxiv/2502.06244?include_resources=true | 200 | true | 87329 | PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts | https://arxiv.org/abs/2502.06244 | [] | [] | [] | [] | [] |
2502.08136 | https://paperswithcode.co/api/v1/papers/arxiv/2502.08136?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.23518 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23518?include_resources=true | 200 | true | 86701 | TRAP: Targeted Redirecting of Agentic Preferences | https://arxiv.org/abs/2505.23518 | [] | [] | [] | [] | [] |
2505.21866 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21866?include_resources=true | 200 | true | 72611 | CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi Sensing | https://arxiv.org/abs/2505.21866 | [] | [] | [] | [] | [] |
2510.21669 | https://paperswithcode.co/api/v1/papers/arxiv/2510.21669?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.15754 | https://paperswithcode.co/api/v1/papers/arxiv/2503.15754?include_resources=true | 200 | true | 46425 | AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration | https://arxiv.org/abs/2503.15754 | [] | [] | [] | [] | [] |
2507.00965 | https://paperswithcode.co/api/v1/papers/arxiv/2507.00965?include_resources=true | 200 | true | 71552 | Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning | https://arxiv.org/abs/2507.00965 | [] | [] | [] | [] | [] |
2506.11147 | https://paperswithcode.co/api/v1/papers/arxiv/2506.11147?include_resources=true | 200 | true | 72074 | 3D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal
Analysis and Diverse Diagnostic Tasks | https://arxiv.org/abs/2506.11147 | [
{
"url": "https://github.com/Tang-xiaoxiao/M3D-RAD",
"owner": "Tang-xiaoxiao",
"name": "M3D-RAD",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2501.18100 | https://paperswithcode.co/api/v1/papers/arxiv/2501.18100?include_resources=true | 200 | true | 86670 | Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation | https://arxiv.org/abs/2501.18100 | [
{
"url": "https://github.com/w-yibo/panacea",
"owner": "w-yibo",
"name": "panacea",
"stars": 13,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2507.05604 | https://paperswithcode.co/api/v1/papers/arxiv/2507.05604?include_resources=true | 200 | true | 86385 | Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration | https://arxiv.org/abs/2507.05604 | [] | [] | [] | [] | [] |
2411.12977 | https://paperswithcode.co/api/v1/papers/arxiv/2411.12977?include_resources=true | 200 | true | 40186 | MindForge: Empowering Embodied Agents with Theory of Mind for Lifelong Collaborative Learning | https://arxiv.org/abs/2411.12977v2 | [] | [] | [] | [] | [] |
2511.05229 | https://paperswithcode.co/api/v1/papers/arxiv/2511.05229?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.05767 | https://paperswithcode.co/api/v1/papers/arxiv/2510.05767?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.13515 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13515?include_resources=true | 200 | true | 86519 | LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades | https://arxiv.org/abs/2505.13515 | [] | [] | [] | [] | [] |
2507.05197 | https://paperswithcode.co/api/v1/papers/arxiv/2507.05197?include_resources=true | 200 | true | 51722 | Pre-Trained Policy Discriminators are General Reward Models | https://arxiv.org/abs/2507.05197 | [
{
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"owner": "InternLM",
"name": "POLAR",
"stars": 163,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2506.02175 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02175?include_resources=true | 200 | true | 72362 | AI Debate Aids Assessment of Controversial Claims | https://arxiv.org/abs/2506.02175 | [] | [] | [] | [] | [] |
2509.17247 | https://paperswithcode.co/api/v1/papers/arxiv/2509.17247?include_resources=true | 200 | true | 68037 | DeepASA: An Object-Oriented One-for-All Network for Auditory Scene
Analysis | https://arxiv.org/abs/2509.17247 | [] | [] | [] | [] | [] |
2508.07581 | https://paperswithcode.co/api/v1/papers/arxiv/2508.07581?include_resources=true | 200 | true | 87085 | When and how can inexact generative models still sample from the data manifold? | https://arxiv.org/abs/2508.07581 | [] | [] | [] | [] | [] |
2502.12527 | https://paperswithcode.co/api/v1/papers/arxiv/2502.12527?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.15392 | https://paperswithcode.co/api/v1/papers/arxiv/2509.15392?include_resources=true | 200 | true | 87067 | Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis | https://arxiv.org/abs/2509.15392 | [] | [] | [] | [] | [] |
2509.17514 | https://paperswithcode.co/api/v1/papers/arxiv/2509.17514?include_resources=true | 200 | true | 86250 | Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data | https://arxiv.org/abs/2509.17514 | [] | [] | [] | [] | [] |
2510.15736 | https://paperswithcode.co/api/v1/papers/arxiv/2510.15736?include_resources=true | 200 | true | 85730 | Fix False Transparency by Noise Guided Splatting | https://arxiv.org/abs/2510.15736 | [] | [] | [] | [] | [] |
2503.09499 | https://paperswithcode.co/api/v1/papers/arxiv/2503.09499?include_resources=true | 200 | true | 45972 | MindGYM: Enhancing Vision-Language Models via Synthetic Self-Challenging Questions | https://arxiv.org/abs/2503.09499 | [
{
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"owner": "modelscope",
"name": "data-juicer",
"stars": 5640,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2511.00383 | https://paperswithcode.co/api/v1/papers/arxiv/2511.00383?include_resources=true | 200 | true | 65554 | STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for
CRC Histopathology | https://arxiv.org/abs/2511.00383 | [] | [] | [] | [] | [] |
2411.09516 | https://paperswithcode.co/api/v1/papers/arxiv/2411.09516?include_resources=true | 200 | true | 87422 | Sharp Matrix Empirical Bernstein Inequalities | https://arxiv.org/abs/2411.09516 | [] | [] | [] | [] | [] |
2502.01473 | https://paperswithcode.co/api/v1/papers/arxiv/2502.01473?include_resources=true | 200 | true | 74946 | Generalization Error Analysis for Selective State-Space Models Through
the Lens of Attention | https://arxiv.org/abs/2502.01473 | [] | [] | [] | [] | [] |
2510.09210 | https://paperswithcode.co/api/v1/papers/arxiv/2510.09210?include_resources=true | 200 | true | 86854 | Provable Watermarking for Data Poisoning Attacks | https://arxiv.org/abs/2510.09210 | [] | [] | [] | [] | [] |
2406.06843 | https://paperswithcode.co/api/v1/papers/arxiv/2406.06843?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.21060 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21060?include_resources=true | 200 | true | 49918 | Styl3R: Instant 3D Stylized Reconstruction for Arbitrary Scenes and Styles | https://arxiv.org/abs/2505.21060 | [
{
"url": "https://github.com/WU-CVGL/Styl3R",
"owner": "WU-CVGL",
"name": "Styl3R",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://nickisdope.github.io/Styl3R/",
"is_official": true
}
] | [] | [] | [] |
2501.12896 | https://paperswithcode.co/api/v1/papers/arxiv/2501.12896?include_resources=true | 200 | true | 87258 | Irrational Complex Rotations Empower Low-bit Optimizers | https://arxiv.org/abs/2501.12896 | [] | [] | [] | [] | [] |
2506.03355 | https://paperswithcode.co/api/v1/papers/arxiv/2506.03355?include_resources=true | 200 | true | 50510 | Robustness in Both Domains: CLIP Needs a Robust Text Encoder | https://arxiv.org/abs/2506.03355 | [
{
"url": "https://github.com/lions-epfl/leaf",
"owner": "LIONS-EPFL",
"name": "LEAF",
"stars": 5,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2502.14172 | https://paperswithcode.co/api/v1/papers/arxiv/2502.14172?include_resources=true | 200 | true | 86437 | A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation | https://arxiv.org/abs/2502.14172 | [] | [] | [] | [] | [] |
2505.17412 | https://paperswithcode.co/api/v1/papers/arxiv/2505.17412?include_resources=true | 200 | true | 49517 | Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention | https://arxiv.org/abs/2505.17412v2 | [
{
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"owner": "DreamTechAI",
"name": "Direct3D-S2",
"stars": 1173,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://www.neural4d.com/research/direct3d-s2",
"is_official": true
},
{
"url": "https://nju-3dv.github.io/projects/Direct3D-S2/",
"is_official": true
}
] | [] | [] | [] |
2505.21483 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21483?include_resources=true | 200 | true | 72626 | MV-CoLight: Efficient Object Compositing with Consistent Lighting and
Shadow Generation | https://arxiv.org/abs/2505.21483 | [] | [] | [] | [] | [] |
2509.17212 | https://paperswithcode.co/api/v1/papers/arxiv/2509.17212?include_resources=true | 200 | true | 86921 | High Resolution UDF Meshing via Iterative Networks | https://arxiv.org/abs/2509.17212 | [] | [] | [] | [] | [] |
2604.16499 | https://paperswithcode.co/api/v1/papers/arxiv/2604.16499?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.20249 | https://paperswithcode.co/api/v1/papers/arxiv/2506.20249?include_resources=true | 200 | true | 51451 | Language Modeling by Language Models | https://arxiv.org/abs/2506.20249 | [
{
"url": "https://github.com/allenai/genesys",
"owner": "allenai",
"name": "genesys",
"stars": 161,
"is_official": true,
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}
] | [
{
"url": "https://genesys.allen.ai",
"is_official": true
}
] | [] | [] | [] |
2508.13822 | https://paperswithcode.co/api/v1/papers/arxiv/2508.13822?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.00743 | https://paperswithcode.co/api/v1/papers/arxiv/2503.00743?include_resources=true | 200 | true | 45277 | Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models | https://arxiv.org/abs/2503.00743 | [
{
"url": "https://github.com/nju-lhrs/scorers",
"owner": "NJU-LHRS",
"name": "ScoreRS",
"stars": 35,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2504.05831 | https://paperswithcode.co/api/v1/papers/arxiv/2504.05831?include_resources=true | 200 | true | 86313 | Leveraging robust optimization for llm alignment under distribution shifts | https://arxiv.org/abs/2504.05831 | [] | [] | [] | [] | [] |
2503.04046 | https://paperswithcode.co/api/v1/papers/arxiv/2503.04046?include_resources=true | 200 | true | 87473 | Continual Optimization with Symmetry Teleportation for Multi-Task Learning | https://arxiv.org/abs/2503.04046 | [] | [] | [] | [] | [] |
2504.05306 | https://paperswithcode.co/api/v1/papers/arxiv/2504.05306?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2410.18117 | https://paperswithcode.co/api/v1/papers/arxiv/2410.18117?include_resources=true | 200 | true | 76100 | Efficient Adaptive Federated Optimization | https://arxiv.org/abs/2410.18117 | [] | [] | [] | [] | [] |
2511.08387 | https://paperswithcode.co/api/v1/papers/arxiv/2511.08387?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2504.18458 | https://paperswithcode.co/api/v1/papers/arxiv/2504.18458?include_resources=true | 200 | true | 48145 | Fast-Slow Thinking for Large Vision-Language Model Reasoning | https://arxiv.org/abs/2504.18458 | [
{
"url": "https://github.com/mr-loevan/fast",
"owner": "Mr-Loevan",
"name": "FAST",
"stars": 22,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2510.27153 | https://paperswithcode.co/api/v1/papers/arxiv/2510.27153?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.16601 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16601?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.09175 | https://paperswithcode.co/api/v1/papers/arxiv/2510.09175?include_resources=true | 200 | true | 66653 | Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints | https://arxiv.org/abs/2510.09175 | [] | [] | [] | [] | [] |
2506.03517 | https://paperswithcode.co/api/v1/papers/arxiv/2506.03517?include_resources=true | 200 | true | 50514 | DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models | https://arxiv.org/abs/2506.03517 | [] | [
{
"url": "https://snap-research.github.io/DenseDPO/",
"is_official": true
}
] | [] | [] | [] |
2502.02869 | https://paperswithcode.co/api/v1/papers/arxiv/2502.02869?include_resources=true | 200 | true | 86589 | Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds | https://arxiv.org/abs/2502.02869 | [] | [] | [] | [] | [] |
2510.17218 | https://paperswithcode.co/api/v1/papers/arxiv/2510.17218?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.19947 | https://paperswithcode.co/api/v1/papers/arxiv/2509.19947?include_resources=true | 200 | true | 85708 | A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers | https://arxiv.org/abs/2509.19947 | [] | [] | [] | [] | [] |
2505.23195 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23195?include_resources=true | 200 | true | 86426 | Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning | https://arxiv.org/abs/2505.23195 | [
{
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"owner": "sjtu-dmtai",
"name": "prune-then-finetune",
"stars": 12,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2509.11348 | https://paperswithcode.co/api/v1/papers/arxiv/2509.11348?include_resources=true | 200 | true | 85913 | On Linear Mode Connectivity of Mixture-of-Experts Architectures | https://arxiv.org/abs/2509.11348 | [] | [] | [] | [] | [] |
2505.15216 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15216?include_resources=true | 200 | true | 49273 | BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems | https://arxiv.org/abs/2505.15216 | [] | [] | [] | [] | [] |
2510.18707 | https://paperswithcode.co/api/v1/papers/arxiv/2510.18707?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.09038 | https://paperswithcode.co/api/v1/papers/arxiv/2506.09038?include_resources=true | 200 | true | 50901 | AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions | https://arxiv.org/abs/2506.09038 | [
{
"url": "https://github.com/facebookresearch/abstentionbench",
"owner": "facebookresearch",
"name": "AbstentionBench",
"stars": 67,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2509.23991 | https://paperswithcode.co/api/v1/papers/arxiv/2509.23991?include_resources=true | 200 | true | 86375 | RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimization | https://arxiv.org/abs/2509.23991 | [] | [] | [] | [] | [] |
2510.06699 | https://paperswithcode.co/api/v1/papers/arxiv/2510.06699?include_resources=true | 200 | true | 86059 | A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking | https://arxiv.org/abs/2510.06699 | [
{
"url": "https://github.com/azencot-group/imageni2r",
"owner": "azencot-group",
"name": "imageni2r",
"stars": 13,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2405.16246 | https://paperswithcode.co/api/v1/papers/arxiv/2405.16246?include_resources=true | 200 | true | 87093 | Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation | https://arxiv.org/abs/2405.16246 | [] | [] | [] | [] | [] |
2512.14000 | https://paperswithcode.co/api/v1/papers/arxiv/2512.14000?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.19712 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19712?include_resources=true | 200 | true | 86761 | On the Relation between Rectified Flows and Optimal Transport | https://arxiv.org/abs/2505.19712 | [] | [] | [] | [] | [] |
2412.04752 | https://paperswithcode.co/api/v1/papers/arxiv/2412.04752?include_resources=true | 200 | true | 86156 | Graph Neural Network Based Action Ranking for Planning | https://arxiv.org/abs/2412.04752 | [] | [] | [] | [] | [] |
2602.23876 | https://paperswithcode.co/api/v1/papers/arxiv/2602.23876?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2602.00862 | https://paperswithcode.co/api/v1/papers/arxiv/2602.00862?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.19830 | https://paperswithcode.co/api/v1/papers/arxiv/2506.19830?include_resources=true | 200 | true | 51432 | Scaling Speculative Decoding with Lookahead Reasoning | https://arxiv.org/abs/2506.19830 | [
{
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"owner": "hao-ai-lab",
"name": "LookaheadReasoning",
"stars": 56,
"is_official": true,
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] | [] | [] | [] | [] |
2505.12335 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12335?include_resources=true | 200 | true | 48948 | Is Artificial Intelligence Generated Image Detection a Solved Problem? | https://arxiv.org/abs/2505.12335 | [
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"owner": "horizontel",
"name": "aigibench",
"stars": 33,
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2510.16907 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16907?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.04894 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04894?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.04210 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04210?include_resources=true | 200 | true | 87108 | Does Thinking More Always Help? Understanding Test-Time Scaling in Reasoning Models | https://arxiv.org/abs/2506.04210 | [] | [] | [] | [] | [] |
2410.18164 | https://paperswithcode.co/api/v1/papers/arxiv/2410.18164?include_resources=true | 200 | true | 39078 | TabDPT: Scaling Tabular Foundation Models | https://arxiv.org/abs/2410.18164 | [
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2505.20446 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20446?include_resources=true | 200 | true | 72694 | Time Series Generation Under Data Scarcity: A Unified Generative
Modeling Approach | https://arxiv.org/abs/2505.20446 | [
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"stars": 45,
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2506.15591 | https://paperswithcode.co/api/v1/papers/arxiv/2506.15591?include_resources=true | 200 | true | 71890 | One-Step Diffusion for Detail-Rich and Temporally Consistent Video
Super-Resolution | https://arxiv.org/abs/2506.15591 | [
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2507.07966 | https://paperswithcode.co/api/v1/papers/arxiv/2507.07966?include_resources=true | 200 | true | 51822 | Scaling RL to Long Videos | https://arxiv.org/abs/2507.07966 | [
{
"url": "https://github.com/hiyouga/easyr1",
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"url": "https://github.com/NVlabs/Long-RL",
"owner": "NVlabs",
"name": "Long-RL",
"stars": 680,
"is_official": true,
... | [
{
"url": "https://github.com/NVlabs/Long-RL",
"is_official": true
}
] | [] | [] | [] |
2506.06072 | https://paperswithcode.co/api/v1/papers/arxiv/2506.06072?include_resources=true | 200 | true | 50704 | BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning | https://arxiv.org/abs/2506.06072v2 | [] | [
{
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2510.25263 | https://paperswithcode.co/api/v1/papers/arxiv/2510.25263?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2507.05478 | https://paperswithcode.co/api/v1/papers/arxiv/2507.05478?include_resources=true | 200 | true | 85845 | Dynamic Regret Reduces to Kernelized Static Regret | https://arxiv.org/abs/2507.05478 | [] | [] | [] | [] | [] |
2510.18714 | https://paperswithcode.co/api/v1/papers/arxiv/2510.18714?include_resources=true | 200 | true | 66086 | PLANA3R: Zero-shot Metric Planar 3D Reconstruction via Feed-Forward Planar Splatting | https://arxiv.org/abs/2510.18714 | [] | [
{
"url": "https://lck666666.github.io/plana3r/",
"is_official": true
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2411.16034 | https://paperswithcode.co/api/v1/papers/arxiv/2411.16034?include_resources=true | 200 | true | 40398 | VisualLens: Personalization through Visual History | https://arxiv.org/abs/2411.16034 | [] | [] | [] | [] | [] |
2506.13464 | https://paperswithcode.co/api/v1/papers/arxiv/2506.13464?include_resources=true | 200 | true | 85834 | Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study | https://arxiv.org/abs/2506.13464 | [] | [] | [] | [] | [] |
2502.12978 | https://paperswithcode.co/api/v1/papers/arxiv/2502.12978?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.11245 | https://paperswithcode.co/api/v1/papers/arxiv/2502.11245?include_resources=true | 200 | true | 87279 | Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens | https://arxiv.org/abs/2502.11245 | [] | [] | [] | [] | [] |
2507.00425 | https://paperswithcode.co/api/v1/papers/arxiv/2507.00425?include_resources=true | 200 | true | 86624 | Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows | https://arxiv.org/abs/2507.00425 | [] | [] | [] | [] | [] |
2510.16415 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16415?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.21506 | https://paperswithcode.co/api/v1/papers/arxiv/2506.21506?include_resources=true | 200 | true | 51520 | Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge | https://arxiv.org/abs/2506.21506 | [
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2505.15859 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15859?include_resources=true | 200 | true | 72908 | AutoData: A Multi-Agent System for Open Web Data Collection | https://arxiv.org/abs/2505.15859 | [
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2506.05316 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05316?include_resources=true | 200 | true | 72240 | Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay | https://arxiv.org/abs/2506.05316 | [] | [] | [] | [] | [] |
2604.08370 | https://paperswithcode.co/api/v1/papers/arxiv/2604.08370?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2508.09093 | https://paperswithcode.co/api/v1/papers/arxiv/2508.09093?include_resources=true | 200 | true | 86822 | Scaling Up Active Testing to Large Language Models | https://arxiv.org/abs/2508.09093 | [] | [] | [] | [] | [] |
2505.19053 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19053?include_resources=true | 200 | true | 87136 | Structured Reinforcement Learning for Combinatorial Decision-Making | https://arxiv.org/abs/2505.19053 | [] | [] | [] | [] | [] |
2501.03627 | https://paperswithcode.co/api/v1/papers/arxiv/2501.03627?include_resources=true | 200 | true | 86151 | Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance | https://arxiv.org/abs/2501.03627 | [] | [] | [] | [] | [] |
2506.21028 | https://paperswithcode.co/api/v1/papers/arxiv/2506.21028?include_resources=true | 200 | true | 86906 | TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence | https://arxiv.org/abs/2506.21028 | [] | [] | [] | [] | [] |
2505.16265 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16265?include_resources=true | 200 | true | 49387 | Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models | https://arxiv.org/abs/2505.16265 | [
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2603.01376 | https://paperswithcode.co/api/v1/papers/arxiv/2603.01376?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.04594 | https://paperswithcode.co/api/v1/papers/arxiv/2511.04594?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2405.20791 | https://paperswithcode.co/api/v1/papers/arxiv/2405.20791?include_resources=true | 200 | true | 87221 | MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting | https://arxiv.org/abs/2405.20791 | [] | [] | [] | [] | [] |
2512.12905 | https://paperswithcode.co/api/v1/papers/arxiv/2512.12905?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.19429 | https://paperswithcode.co/api/v1/papers/arxiv/2510.19429?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2508.08450 | https://paperswithcode.co/api/v1/papers/arxiv/2508.08450?include_resources=true | 200 | true | 87439 | Differentiable Cyclic Causal Discovery Under Unmeasured Confounders | https://arxiv.org/abs/2508.08450 | [] | [] | [] | [] | [] |
2508.05941 | https://paperswithcode.co/api/v1/papers/arxiv/2508.05941?include_resources=true | 200 | true | 70013 | Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution | https://arxiv.org/abs/2508.05941 | [] | [] | [] | [] | [] |
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