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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
2510.21110 | https://paperswithcode.co/api/v1/papers/arxiv/2510.21110?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.04077 | https://paperswithcode.co/api/v1/papers/arxiv/2502.04077?include_resources=true | 200 | true | 43746 | AttentionPredictor: Temporal Pattern Matters for Efficient LLM Inference | https://arxiv.org/abs/2502.04077 | [
{
"url": "https://github.com/miralab-ustc/llm-attentionpredictor",
"owner": "MIRALab-USTC",
"name": "LLM-AttentionPredictor",
"stars": 24,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2511.03666 | https://paperswithcode.co/api/v1/papers/arxiv/2511.03666?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.04849 | https://paperswithcode.co/api/v1/papers/arxiv/2502.04849?include_resources=true | 200 | true | 85988 | Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration | https://arxiv.org/abs/2502.04849 | [] | [] | [] | [] | [] |
2503.04725 | https://paperswithcode.co/api/v1/papers/arxiv/2503.04725?include_resources=true | 200 | true | 45566 | L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling | https://arxiv.org/abs/2503.04725 | [
{
"url": "https://github.com/lsquaredm/mutual_info_scaling_law",
"owner": "LSquaredM",
"name": "mutual_info_scaling_law",
"stars": 12,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://github.com/LSquaredM/mutual_info_scaling_law",
"is_official": true
}
] | [] | [] | [] |
2502.08106 | https://paperswithcode.co/api/v1/papers/arxiv/2502.08106?include_resources=true | 200 | true | 74741 | PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced
Text-to-Image Generation | https://arxiv.org/abs/2502.08106 | [] | [] | [] | [] | [] |
2511.09577 | https://paperswithcode.co/api/v1/papers/arxiv/2511.09577?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.13444 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13444?include_resources=true | 200 | true | 49070 | ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models | https://arxiv.org/abs/2505.13444 | [
{
"url": "https://github.com/liyan06/chartmuseum",
"owner": "Liyan06",
"name": "ChartMuseum",
"stars": 16,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://chartmuseum-leaderboard.github.io",
"is_official": true
}
] | [] | [] | [] |
2505.14512 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14512?include_resources=true | 200 | true | 86991 | Just One Layer Norm Guarantees Stable Extrapolation | https://arxiv.org/abs/2505.14512 | [] | [] | [] | [] | [] |
2506.15366 | https://paperswithcode.co/api/v1/papers/arxiv/2506.15366?include_resources=true | 200 | true | 86999 | Performative Validity of Recourse Explanations | https://arxiv.org/abs/2506.15366 | [] | [] | [] | [] | [] |
2507.04451 | https://paperswithcode.co/api/v1/papers/arxiv/2507.04451?include_resources=true | 200 | true | 71403 | CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step | https://arxiv.org/abs/2507.04451 | [] | [] | [] | [] | [] |
2510.13451 | https://paperswithcode.co/api/v1/papers/arxiv/2510.13451?include_resources=true | 200 | true | 86818 | Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts | https://arxiv.org/abs/2510.13451 | [] | [] | [] | [] | [] |
2506.04648 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04648?include_resources=true | 200 | true | 50599 | FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion | https://arxiv.org/abs/2506.04648v2 | [] | [
{
"url": "https://fps.ziplab.co",
"is_official": true
}
] | [] | [] | [] |
2504.06020 | https://paperswithcode.co/api/v1/papers/arxiv/2504.06020?include_resources=true | 200 | true | 85900 | Information-Theoretic Reward Decomposition for Generalizable RLHF | https://arxiv.org/abs/2504.06020 | [] | [] | [] | [] | [] |
2505.13774 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13774?include_resources=true | 200 | true | 49093 | Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models | https://arxiv.org/abs/2505.13774 | [] | [] | [] | [] | [] |
2505.08140 | https://paperswithcode.co/api/v1/papers/arxiv/2505.08140?include_resources=true | 200 | true | 48676 | Lost in Transmission: When and Why LLMs Fail to Reason Globally | https://arxiv.org/abs/2505.08140v2 | [
{
"url": "https://github.com/microsoft/bapo",
"owner": "microsoft",
"name": "bapo",
"stars": 8,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2506.15745 | https://paperswithcode.co/api/v1/papers/arxiv/2506.15745?include_resources=true | 200 | true | 51275 | InfiniPot-V: Memory-Constrained KV Cache Compression for Streaming Video Understanding | https://arxiv.org/abs/2506.15745 | [
{
"url": "https://github.com/aiha-lab/InfiniPot-V",
"owner": "aiha-lab",
"name": "InfiniPot-V",
"stars": 9,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2506.03614 | https://paperswithcode.co/api/v1/papers/arxiv/2506.03614?include_resources=true | 200 | true | 50528 | VLMs Can Aggregate Scattered Training Patches | https://arxiv.org/abs/2506.03614 | [
{
"url": "https://github.com/zhziszz/visual-stitching",
"owner": "ZHZisZZ",
"name": "visual-stitching",
"stars": 12,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2502.17384 | https://paperswithcode.co/api/v1/papers/arxiv/2502.17384?include_resources=true | 200 | true | 87144 | On Traceability in $\ell_p$ Stochastic Convex Optimization | https://arxiv.org/abs/2502.17384 | [] | [] | [] | [] | [] |
2504.19162 | https://paperswithcode.co/api/v1/papers/arxiv/2504.19162?include_resources=true | 200 | true | 48174 | SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning | https://arxiv.org/abs/2504.19162v2 | [
{
"url": "https://github.com/chen-judge/spc",
"owner": "chen-judge",
"name": "SPC",
"stars": 24,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://chen-judge.github.io/SPC/",
"is_official": true
}
] | [] | [] | [] |
2505.21381 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21381?include_resources=true | 200 | true | 87384 | ZigzagPointMamba: Spatial-Semantic Mamba for Point Cloud Understanding | https://arxiv.org/abs/2505.21381 | [] | [] | [] | [] | [] |
2505.16156 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16156?include_resources=true | 200 | true | 86284 | Integral Imprecise Probability Metrics | https://arxiv.org/abs/2505.16156 | [] | [] | [] | [] | [] |
2509.16660 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16660?include_resources=true | 200 | true | 68082 | Redefining Experts: Interpretable Decomposition of Language Models for
Toxicity Mitigation | https://arxiv.org/abs/2509.16660 | [] | [] | [] | [] | [] |
2512.02450 | https://paperswithcode.co/api/v1/papers/arxiv/2512.02450?include_resources=true | 200 | true | 64226 | HouseLayout3D: A Benchmark and Training-Free Baseline for 3D Layout Estimation in the Wild | https://arxiv.org/abs/2512.02450 | [
{
"url": "https://github.com/HouseLayout3D/houselayout3d",
"owner": "HouseLayout3D",
"name": "houselayout3d",
"stars": 33,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://houselayout3d.github.io",
"is_official": true
}
] | [] | [] | [] |
2505.11197 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11197?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.16685 | https://paperswithcode.co/api/v1/papers/arxiv/2506.16685?include_resources=true | 200 | true | 86311 | Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections | https://arxiv.org/abs/2506.16685 | [] | [
{
"url": "https://compliant-residual-dagger.github.io/",
"is_official": true
}
] | [] | [] | [] |
2505.21298 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21298?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.13866 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13866?include_resources=true | 200 | true | 49101 | Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning | https://arxiv.org/abs/2505.13866 | [
{
"url": "https://github.com/jiwonsong-dev/reasoningpathcompression",
"owner": "jiwonsong-dev",
"name": "ReasoningPathCompression",
"stars": 26,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2412.03552 | https://paperswithcode.co/api/v1/papers/arxiv/2412.03552?include_resources=true | 200 | true | 40989 | Imagine360: Immersive 360 Video Generation from Perspective Anchor | https://arxiv.org/abs/2412.03552 | [
{
"url": "https://github.com/ys-imtech/imagine360",
"owner": "YS-IMTech",
"name": "Imagine360",
"stars": 152,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://ys-imtech.github.io/projects/Imagine360",
"is_official": true
}
] | [] | [] | [] |
2506.10887 | https://paperswithcode.co/api/v1/papers/arxiv/2506.10887?include_resources=true | 200 | true | 72032 | Generalization or Hallucination? Understanding Out-of-Context Reasoning
in Transformers | https://arxiv.org/abs/2506.10887 | [] | [] | [] | [] | [] |
2510.01619 | https://paperswithcode.co/api/v1/papers/arxiv/2510.01619?include_resources=true | 200 | true | 67140 | MPMAvatar: Learning 3D Gaussian Avatars with Accurate and Robust Physics-Based Dynamics | https://arxiv.org/abs/2510.01619 | [] | [
{
"url": "https://kaistchangmin.github.io/MPMAvatar/",
"is_official": true
}
] | [] | [] | [] |
2507.05526 | https://paperswithcode.co/api/v1/papers/arxiv/2507.05526?include_resources=true | 200 | true | 85875 | Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning | https://arxiv.org/abs/2507.05526 | [] | [] | [] | [] | [] |
2508.14264 | https://paperswithcode.co/api/v1/papers/arxiv/2508.14264?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.23155 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23155?include_resources=true | 200 | true | 72553 | PreFM: Online Audio-Visual Event Parsing via Predictive Future Modeling | https://arxiv.org/abs/2505.23155 | [
{
"url": "https://github.com/xiaoyu-1123/prefm",
"owner": "XiaoYu-1123",
"name": "PreFM",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2502.12128 | https://paperswithcode.co/api/v1/papers/arxiv/2502.12128?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2508.10631 | https://paperswithcode.co/api/v1/papers/arxiv/2508.10631?include_resources=true | 200 | true | 86649 | Increasing the Utility of Synthetic Images through Chamfer Guidance | https://arxiv.org/abs/2508.10631 | [] | [] | [] | [] | [] |
2506.02314 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02314?include_resources=true | 200 | true | 50442 | ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code | https://arxiv.org/abs/2506.02314 | [] | [
{
"url": "https://researchcodebench.github.io/",
"is_official": true
}
] | [] | [] | [] |
2507.11878 | https://paperswithcode.co/api/v1/papers/arxiv/2507.11878?include_resources=true | 200 | true | 51915 | LLMs Encode Harmfulness and Refusal Separately | https://arxiv.org/abs/2507.11878 | [
{
"url": "https://github.com/CHATS-lab/LLMs_Encode_Harmfulness_Refusal_Separately",
"owner": "CHATS-lab",
"name": "LLMs_Encode_Harmfulness_Refusal_Separately",
"stars": 9,
"is_official": false,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2509.20414 | https://paperswithcode.co/api/v1/papers/arxiv/2509.20414?include_resources=true | 200 | true | 52814 | SceneWeaver: All-in-One 3D Scene Synthesis with an Extensible and
Self-Reflective Agent | https://arxiv.org/abs/2509.20414 | [
{
"url": "https://github.com/Scene-Weaver/SceneWeaver",
"owner": "Scene-Weaver",
"name": "SceneWeaver",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://scene-weaver.github.io/",
"is_official": true
}
] | [] | [] | [] |
2511.10017 | https://paperswithcode.co/api/v1/papers/arxiv/2511.10017?include_resources=true | 200 | true | 54184 | AffordBot: 3D Fine-grained Embodied Reasoning via Multimodal Large Language Models | https://arxiv.org/abs/2511.10017 | [] | [] | [] | [] | [] |
2508.01943 | https://paperswithcode.co/api/v1/papers/arxiv/2508.01943?include_resources=true | 200 | true | 86301 | ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks | https://arxiv.org/abs/2508.01943 | [] | [
{
"url": "https://rover-vlm.github.io/",
"is_official": true
}
] | [] | [] | [] |
2511.23051 | https://paperswithcode.co/api/v1/papers/arxiv/2511.23051?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2512.09367 | https://paperswithcode.co/api/v1/papers/arxiv/2512.09367?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2407.01344 | https://paperswithcode.co/api/v1/papers/arxiv/2407.01344?include_resources=true | 200 | true | 86210 | Distributionally Robust Performative Optimization | https://arxiv.org/abs/2407.01344 | [] | [] | [] | [] | [] |
2506.08001 | https://paperswithcode.co/api/v1/papers/arxiv/2506.08001?include_resources=true | 200 | true | 50810 | Reparameterized LLM Training via Orthogonal Equivalence Transformation | https://arxiv.org/abs/2506.08001 | [
{
"url": "https://github.com/sphere-ai-lab/poet",
"owner": "Sphere-AI-Lab",
"name": "poet",
"stars": 13,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://spherelab.ai/poet/",
"is_official": true
},
{
"url": "https://spherelab.ai/poet",
"is_official": true
}
] | [] | [] | [] |
2503.09384 | https://paperswithcode.co/api/v1/papers/arxiv/2503.09384?include_resources=true | 200 | true | 86227 | Revisiting Agnostic Boosting | https://arxiv.org/abs/2503.09384 | [] | [] | [] | [] | [] |
2505.14681 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14681?include_resources=true | 200 | true | 49220 | Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training | https://arxiv.org/abs/2505.14681 | [] | [] | [] | [] | [] |
2511.07505 | https://paperswithcode.co/api/v1/papers/arxiv/2511.07505?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2504.20024 | https://paperswithcode.co/api/v1/papers/arxiv/2504.20024?include_resources=true | 200 | true | 48202 | SpatialReasoner: Towards Explicit and Generalizable 3D Spatial Reasoning | https://arxiv.org/abs/2504.20024v2 | [] | [
{
"url": "https://spatial-reasoner.github.io",
"is_official": true
}
] | [] | [] | [] |
2502.08640 | https://paperswithcode.co/api/v1/papers/arxiv/2502.08640?include_resources=true | 200 | true | 44109 | Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs | https://arxiv.org/abs/2502.08640v2 | [] | [] | [] | [] | [] |
2506.07078 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07078?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.13881 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13881?include_resources=true | 200 | true | 72946 | TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems | https://arxiv.org/abs/2505.13881 | [] | [] | [] | [] | [] |
2510.20055 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20055?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.02350 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02350?include_resources=true | 200 | true | 86194 | Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection | https://arxiv.org/abs/2506.02350 | [
{
"url": "https://github.com/whr000001/truthovertricks",
"owner": "whr000001",
"name": "truthovertricks",
"stars": 7,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2602.05084 | https://paperswithcode.co/api/v1/papers/arxiv/2602.05084?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.04194 | https://paperswithcode.co/api/v1/papers/arxiv/2502.04194?include_resources=true | 200 | true | 43753 | The Best Instruction-Tuning Data are Those That Fit | https://arxiv.org/abs/2502.04194v2 | [] | [] | [] | [] | [] |
2502.16972 | https://paperswithcode.co/api/v1/papers/arxiv/2502.16972?include_resources=true | 200 | true | 44896 | TraFlow: Trajectory Distillation on Pre-Trained Rectified Flow | https://arxiv.org/abs/2502.16972 | [] | [] | [] | [] | [] |
2505.15754 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15754?include_resources=true | 200 | true | 86117 | Improving planning and MBRL with temporally-extended actions | https://arxiv.org/abs/2505.15754 | [] | [] | [] | [] | [] |
2512.08358 | https://paperswithcode.co/api/v1/papers/arxiv/2512.08358?include_resources=true | 200 | true | 54674 | TrackingWorld: World-centric Monocular 3D Tracking of Almost All Pixels | https://arxiv.org/abs/2512.08358 | [
{
"url": "https://github.com/IGL-HKUST/TrackingWorld",
"owner": "IGL-HKUST",
"name": "TrackingWorld",
"stars": 189,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://igl-hkust.github.io/TrackingWorld.github.io/",
"is_official": true
}
] | [] | [] | [] |
2505.24848 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24848?include_resources=true | 200 | true | 50269 | Reading Recognition in the Wild | https://arxiv.org/abs/2505.24848v2 | [] | [] | [] | [] | [] |
2510.16807 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16807?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.16671 | https://paperswithcode.co/api/v1/papers/arxiv/2502.16671?include_resources=true | 200 | true | 44856 | MimeQA: Towards Socially-Intelligent Nonverbal Foundation Models | https://arxiv.org/abs/2502.16671 | [
{
"url": "https://github.com/mit-mi/mimeqa",
"owner": "MIT-MI",
"name": "MimeQA",
"stars": 2,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2505.14083 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14083?include_resources=true | 200 | true | 86856 | Computational Efficiency under Covariate Shift in Kernel Ridge Regression | https://arxiv.org/abs/2505.14083 | [] | [] | [] | [] | [] |
2511.02495 | https://paperswithcode.co/api/v1/papers/arxiv/2511.02495?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.13662 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13662?include_resources=true | 200 | true | 87316 | Differentially Private Quantiles with Smaller Error | https://arxiv.org/abs/2505.13662 | [] | [] | [] | [] | [] |
2505.13723 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13723?include_resources=true | 200 | true | 87138 | Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project | https://arxiv.org/abs/2505.13723 | [] | [] | [] | [] | [] |
2501.16665 | https://paperswithcode.co/api/v1/papers/arxiv/2501.16665?include_resources=true | 200 | true | 86032 | CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors | https://arxiv.org/abs/2501.16665 | [] | [] | [] | [] | [] |
2511.17254 | https://paperswithcode.co/api/v1/papers/arxiv/2511.17254?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.04398 | https://paperswithcode.co/api/v1/papers/arxiv/2510.04398?include_resources=true | 200 | true | 66961 | SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations | https://arxiv.org/abs/2510.04398 | [
{
"url": "https://github.com/buyun-liang/seca",
"owner": "Buyun-Liang",
"name": "SECA",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://huggingface.co/spaces/byliang/SECA",
"is_official": true
}
] | [] | [] | [] |
2502.06852 | https://paperswithcode.co/api/v1/papers/arxiv/2502.06852?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2512.03318 | https://paperswithcode.co/api/v1/papers/arxiv/2512.03318?include_resources=true | 200 | true | 64186 | Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia | https://arxiv.org/abs/2512.03318 | [] | [] | [] | [] | [] |
2505.13804 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13804?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2504.11516 | https://paperswithcode.co/api/v1/papers/arxiv/2504.11516?include_resources=true | 200 | true | 47754 | FEAT: Free energy Estimators with Adaptive Transport | https://arxiv.org/abs/2504.11516 | [
{
"url": "https://github.com/jiajunhe98/FEAT",
"owner": "jiajunhe98",
"name": "FEAT",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2509.15096 | https://paperswithcode.co/api/v1/papers/arxiv/2509.15096?include_resources=true | 200 | true | 86200 | OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation | https://arxiv.org/abs/2509.15096 | [] | [] | [] | [] | [] |
2410.07812 | https://paperswithcode.co/api/v1/papers/arxiv/2410.07812?include_resources=true | 200 | true | 86351 | Temporal-Difference Variational Continual Learning | https://arxiv.org/abs/2410.07812 | [] | [] | [] | [] | [] |
2506.02881 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02881?include_resources=true | 200 | true | 86910 | Simulation-Based Inference for Adaptive Experiments | https://arxiv.org/abs/2506.02881 | [] | [] | [] | [] | [] |
2512.22905 | https://paperswithcode.co/api/v1/papers/arxiv/2512.22905?include_resources=true | 200 | true | 55057 | JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation | https://arxiv.org/abs/2512.22905 | [
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2505.24722 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24722?include_resources=true | 200 | true | 72506 | HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts | https://arxiv.org/abs/2505.24722 | [] | [] | [] | [] | [] |
2507.16385 | https://paperswithcode.co/api/v1/papers/arxiv/2507.16385?include_resources=true | 200 | true | 70888 | STAR: A Benchmark for Astronomical Star Fields Super-Resolution | https://arxiv.org/abs/2507.16385 | [
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2511.20066 | https://paperswithcode.co/api/v1/papers/arxiv/2511.20066?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2409.19375 | https://paperswithcode.co/api/v1/papers/arxiv/2409.19375?include_resources=true | 200 | true | 86554 | DOTA: Distributional Test-time Adaptation of Vision-Language Models | https://arxiv.org/abs/2409.19375 | [] | [] | [] | [] | [] |
2509.23089 | https://paperswithcode.co/api/v1/papers/arxiv/2509.23089?include_resources=true | 200 | true | 67625 | Demystifying Network Foundation Models | https://arxiv.org/abs/2509.23089 | [
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2507.07858 | https://paperswithcode.co/api/v1/papers/arxiv/2507.07858?include_resources=true | 200 | true | 87410 | OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states | https://arxiv.org/abs/2507.07858 | [] | [] | [] | [] | [] |
2505.06709 | https://paperswithcode.co/api/v1/papers/arxiv/2505.06709?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.18442 | https://paperswithcode.co/api/v1/papers/arxiv/2510.18442?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.21650 | https://paperswithcode.co/api/v1/papers/arxiv/2509.21650?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.13925 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13925?include_resources=true | 200 | true | 87080 | Time Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement Learning | https://arxiv.org/abs/2505.13925 | [] | [] | [] | [] | [] |
2506.12945 | https://paperswithcode.co/api/v1/papers/arxiv/2506.12945?include_resources=true | 200 | true | 86870 | Metropolis-Hastings Sampling for 3D Gaussian Reconstruction | https://arxiv.org/abs/2506.12945 | [] | [] | [] | [] | [] |
2505.12003 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12003?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.21732 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21732?include_resources=true | 200 | true | 86024 | LaX: Boosting Low-Rank Training of Foundation Models via Latent Crossing | https://arxiv.org/abs/2505.21732 | [] | [] | [] | [] | [] |
2505.10949 | https://paperswithcode.co/api/v1/papers/arxiv/2505.10949?include_resources=true | 200 | true | 86442 | FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks | https://arxiv.org/abs/2505.10949 | [] | [] | [] | [] | [] |
2505.13279 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13279?include_resources=true | 200 | true | 87391 | Event-Driven Dynamic Scene Depth Completion | https://arxiv.org/abs/2505.13279 | [] | [] | [] | [] | [] |
2505.14684 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14684?include_resources=true | 200 | true | 49222 | Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning | https://arxiv.org/abs/2505.14684v2 | [
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2510.12160 | https://paperswithcode.co/api/v1/papers/arxiv/2510.12160?include_resources=true | 200 | true | 85821 | State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding | https://arxiv.org/abs/2510.12160 | [] | [] | [] | [] | [] |
2510.21442 | https://paperswithcode.co/api/v1/papers/arxiv/2510.21442?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.14935 | https://paperswithcode.co/api/v1/papers/arxiv/2503.14935?include_resources=true | 200 | true | 46371 | FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding | https://arxiv.org/abs/2503.14935 | [
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2511.18450 | https://paperswithcode.co/api/v1/papers/arxiv/2511.18450?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.15185 | https://paperswithcode.co/api/v1/papers/arxiv/2509.15185?include_resources=true | 200 | true | 52860 | Understand Before You Generate: Self-Guided Training for Autoregressive
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2505.20215 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20215?include_resources=true | 200 | true | 86172 | Dependency Parsing is More Parameter-Efficient with Normalization | https://arxiv.org/abs/2505.20215 | [] | [] | [] | [] | [] |
2506.09965 | https://paperswithcode.co/api/v1/papers/arxiv/2506.09965?include_resources=true | 200 | true | 50960 | Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing | https://arxiv.org/abs/2506.09965 | [
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