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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
2512.02423 | https://paperswithcode.co/api/v1/papers/arxiv/2512.02423?include_resources=true | 200 | true | 54519 | GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning | https://arxiv.org/abs/2512.02423 | [] | [] | [] | [] | [] |
2511.20490 | https://paperswithcode.co/api/v1/papers/arxiv/2511.20490?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.21448 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21448?include_resources=true | 200 | true | 72631 | OmniSync: Towards Universal Lip Synchronization via Diffusion Transformers | https://arxiv.org/abs/2505.21448 | [] | [] | [] | [] | [] |
2504.04072 | https://paperswithcode.co/api/v1/papers/arxiv/2504.04072?include_resources=true | 200 | true | 85992 | Among Us: A Sandbox for Measuring and Detecting Agentic Deception | https://arxiv.org/abs/2504.04072 | [] | [] | [] | [] | [] |
2511.22640 | https://paperswithcode.co/api/v1/papers/arxiv/2511.22640?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.27222 | https://paperswithcode.co/api/v1/papers/arxiv/2510.27222?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2405.16574 | https://paperswithcode.co/api/v1/papers/arxiv/2405.16574?include_resources=true | 200 | true | 86565 | Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent | https://arxiv.org/abs/2405.16574 | [] | [] | [] | [] | [] |
2510.21060 | https://paperswithcode.co/api/v1/papers/arxiv/2510.21060?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.01109 | https://paperswithcode.co/api/v1/papers/arxiv/2509.01109?include_resources=true | 200 | true | 68893 | GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for
Image Representation and Generation | https://arxiv.org/abs/2509.01109 | [
{
"url": "https://github.com/xtudbxk/gpstoken",
"owner": "xtudbxk",
"name": "GPSToken",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2506.15649 | https://paperswithcode.co/api/v1/papers/arxiv/2506.15649?include_resources=true | 200 | true | 86155 | Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning | https://arxiv.org/abs/2506.15649 | [] | [] | [] | [] | [] |
2412.06740 | https://paperswithcode.co/api/v1/papers/arxiv/2412.06740?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2512.05116 | https://paperswithcode.co/api/v1/papers/arxiv/2512.05116?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2410.01103 | https://paperswithcode.co/api/v1/papers/arxiv/2410.01103?include_resources=true | 200 | true | 37619 | Approximately Aligned Decoding | https://arxiv.org/abs/2410.01103 | [] | [] | [] | [] | [] |
2507.07984 | https://paperswithcode.co/api/v1/papers/arxiv/2507.07984?include_resources=true | 200 | true | 51825 | OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding | https://arxiv.org/abs/2507.07984 | [
{
"url": "https://github.com/OpenRobotLab/OST-Bench",
"owner": "OpenRobotLab",
"name": "OST-Bench",
"stars": 69,
"is_official": true,
"source": "ai_extraction"
},
{
"url": "https://github.com/rbler1234/ost-bench",
"owner": "rbler1234",
"name": "ost-bench",
"stars": 6,
... | [
{
"url": "https://rbler1234.github.io/OSTBench.github.io/",
"is_official": true
}
] | [] | [] | [] |
2510.26937 | https://paperswithcode.co/api/v1/papers/arxiv/2510.26937?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.18631 | https://paperswithcode.co/api/v1/papers/arxiv/2509.18631?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.01281 | https://paperswithcode.co/api/v1/papers/arxiv/2505.01281?include_resources=true | 200 | true | 85751 | A Physics-preserved Transfer Learning Method for Differential Equations | https://arxiv.org/abs/2505.01281 | [] | [] | [] | [] | [] |
2506.08898 | https://paperswithcode.co/api/v1/papers/arxiv/2506.08898?include_resources=true | 200 | true | 86929 | Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation | https://arxiv.org/abs/2506.08898 | [] | [] | [] | [] | [] |
2506.11343 | https://paperswithcode.co/api/v1/papers/arxiv/2506.11343?include_resources=true | 200 | true | 86303 | From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review | https://arxiv.org/abs/2506.11343 | [] | [] | [] | [] | [] |
2503.01822 | https://paperswithcode.co/api/v1/papers/arxiv/2503.01822?include_resources=true | 200 | true | 85960 | Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry | https://arxiv.org/abs/2503.01822 | [] | [] | [] | [] | [] |
2505.11254 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11254?include_resources=true | 200 | true | 48848 | Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction | https://arxiv.org/abs/2505.11254 | [
{
"url": "https://github.com/jeffwillette/delta-attention",
"owner": "jeffwillette",
"name": "delta-attention",
"stars": 11,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2509.02844 | https://paperswithcode.co/api/v1/papers/arxiv/2509.02844?include_resources=true | 200 | true | 86209 | Conformal Prediction for Time-series Forecasting with Change Points | https://arxiv.org/abs/2509.02844 | [] | [] | [] | [] | [] |
2502.02197 | https://paperswithcode.co/api/v1/papers/arxiv/2502.02197?include_resources=true | 200 | true | 86914 | An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks | https://arxiv.org/abs/2502.02197 | [] | [] | [] | [] | [] |
2509.22700 | https://paperswithcode.co/api/v1/papers/arxiv/2509.22700?include_resources=true | 200 | true | 87311 | Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning | https://arxiv.org/abs/2509.22700 | [] | [] | [] | [] | [] |
2411.03253 | https://paperswithcode.co/api/v1/papers/arxiv/2411.03253?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.09508 | https://paperswithcode.co/api/v1/papers/arxiv/2506.09508?include_resources=true | 200 | true | 87356 | Efficient Preference-Based Reinforcement Learning: Randomized Exploration meets Experimental Design | https://arxiv.org/abs/2506.09508 | [] | [] | [] | [] | [] |
2507.13328 | https://paperswithcode.co/api/v1/papers/arxiv/2507.13328?include_resources=true | 200 | true | 51960 | Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It | https://arxiv.org/abs/2507.13328 | [
{
"url": "https://github.com/tinlaboratory/taxonomigqa",
"owner": "tinlaboratory",
"name": "taxonomigqa",
"stars": 8,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://taxonomigqa.github.io",
"is_official": true
}
] | [] | [] | [] |
2505.19949 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19949?include_resources=true | 200 | true | 49789 | Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions | https://arxiv.org/abs/2505.19949 | [] | [] | [] | [] | [] |
2510.17131 | https://paperswithcode.co/api/v1/papers/arxiv/2510.17131?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.17122 | https://paperswithcode.co/api/v1/papers/arxiv/2510.17122?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.09790 | https://paperswithcode.co/api/v1/papers/arxiv/2503.09790?include_resources=true | 200 | true | 46001 | Constrained Language Generation with Discrete Diffusion Models | https://arxiv.org/abs/2503.09790 | [] | [] | [] | [] | [] |
2412.01930 | https://paperswithcode.co/api/v1/papers/arxiv/2412.01930?include_resources=true | 200 | true | 86711 | PROFIT: A Specialized Optimizer for Deep Fine Tuning | https://arxiv.org/abs/2412.01930 | [] | [] | [] | [] | [] |
2406.09795 | https://paperswithcode.co/api/v1/papers/arxiv/2406.09795?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.23513 | https://paperswithcode.co/api/v1/papers/arxiv/2506.23513?include_resources=true | 200 | true | 85925 | ViewPoint: Panoramic Video Generation with Pretrained Diffusion Models | https://arxiv.org/abs/2506.23513 | [] | [] | [] | [] | [] |
2406.14144 | https://paperswithcode.co/api/v1/papers/arxiv/2406.14144?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.24173 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24173?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.02867 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02867?include_resources=true | 200 | true | 50474 | Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning | https://arxiv.org/abs/2506.02867v2 | [
{
"url": "https://github.com/chnq/mi-peaks",
"owner": "ChnQ",
"name": "MI-Peaks",
"stars": 59,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2504.07891 | https://paperswithcode.co/api/v1/papers/arxiv/2504.07891?include_resources=true | 200 | true | 47509 | SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning | https://arxiv.org/abs/2504.07891 | [
{
"url": "https://github.com/ruipeterpan/specreason",
"owner": "ruipeterpan",
"name": "specreason",
"stars": 60,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2408.14763 | https://paperswithcode.co/api/v1/papers/arxiv/2408.14763?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.08003 | https://paperswithcode.co/api/v1/papers/arxiv/2506.08003?include_resources=true | 200 | true | 50812 | Audio-Sync Video Generation with Multi-Stream Temporal Control | https://arxiv.org/abs/2506.08003 | [
{
"url": "https://github.com/suimuc/MTV_Framework",
"owner": "suimuc",
"name": "MTV_Framework",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://hjzheng.net/projects/MTV/",
"is_official": true
}
] | [] | [] | [] |
2512.16143 | https://paperswithcode.co/api/v1/papers/arxiv/2512.16143?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2312.12717 | https://paperswithcode.co/api/v1/papers/arxiv/2312.12717?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.07398 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07398?include_resources=true | 200 | true | 72149 | G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems | https://arxiv.org/abs/2506.07398 | [
{
"url": "https://github.com/bingreeky/GMemory",
"owner": "bingreeky",
"name": "GMemory",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2507.11060 | https://paperswithcode.co/api/v1/papers/arxiv/2507.11060?include_resources=true | 200 | true | 86957 | Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing | https://arxiv.org/abs/2507.11060 | [] | [] | [] | [] | [] |
2410.20797 | https://paperswithcode.co/api/v1/papers/arxiv/2410.20797?include_resources=true | 200 | true | 86752 | Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning | https://arxiv.org/abs/2410.20797 | [] | [] | [] | [] | [] |
2506.22049 | https://paperswithcode.co/api/v1/papers/arxiv/2506.22049?include_resources=true | 200 | true | 51547 | GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling | https://arxiv.org/abs/2506.22049v2 | [
{
"url": "https://github.com/dandingsky/gpas",
"owner": "dandingsky",
"name": "GPAS",
"stars": 9,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2506.07239 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07239?include_resources=true | 200 | true | 87118 | VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code | https://arxiv.org/abs/2506.07239 | [] | [] | [] | [] | [] |
2501.19252 | https://paperswithcode.co/api/v1/papers/arxiv/2501.19252?include_resources=true | 200 | true | 75022 | Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search | https://arxiv.org/abs/2501.19252 | [
{
"url": "https://github.com/shim0114/T2V-Diffusion-Search",
"owner": "shim0114",
"name": "T2V-Diffusion-Search",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://sites.google.com/view/t2v-dlbs",
"is_official": true
}
] | [] | [] | [] |
2505.23747 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23747?include_resources=true | 200 | true | 50151 | Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence | https://arxiv.org/abs/2505.23747 | [
{
"url": "https://github.com/diankun-wu/spatial-mllm",
"owner": "diankun-wu",
"name": "Spatial-MLLM",
"stars": 410,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://diankun-wu.github.io/Spatial-MLLM/",
"is_official": true
}
] | [] | [] | [] |
2412.17749 | https://paperswithcode.co/api/v1/papers/arxiv/2412.17749?include_resources=true | 200 | true | 87115 | Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions | https://arxiv.org/abs/2412.17749 | [] | [] | [] | [] | [] |
2511.05449 | https://paperswithcode.co/api/v1/papers/arxiv/2511.05449?include_resources=true | 200 | true | 65292 | How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need? | https://arxiv.org/abs/2511.05449 | [] | [
{
"url": "https://gitmerge3d.github.io/",
"is_official": true
}
] | [] | [] | [] |
2505.13192 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13192?include_resources=true | 200 | true | 49033 | True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics | https://arxiv.org/abs/2505.13192 | [] | [] | [] | [] | [] |
2505.19602 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19602?include_resources=true | 200 | true | 49754 | Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression | https://arxiv.org/abs/2505.19602 | [
{
"url": "https://github.com/stargazerx0/scalekv",
"owner": "stargazerx0",
"name": "scalekv",
"stars": 51,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2508.15071 | https://paperswithcode.co/api/v1/papers/arxiv/2508.15071?include_resources=true | 200 | true | 85976 | Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size | https://arxiv.org/abs/2508.15071 | [] | [] | [] | [] | [] |
2505.17914 | https://paperswithcode.co/api/v1/papers/arxiv/2505.17914?include_resources=true | 200 | true | 72795 | Flexible MOF Generation with Torsion-Aware Flow Matching | https://arxiv.org/abs/2505.17914 | [
{
"url": "https://github.com/nayoung10/mofflow-2",
"owner": "nayoung10",
"name": "mofflow-2",
"stars": 16,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2510.01248 | https://paperswithcode.co/api/v1/papers/arxiv/2510.01248?include_resources=true | 200 | true | 86015 | SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs | https://arxiv.org/abs/2510.01248 | [] | [] | [] | [] | [] |
2506.05744 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05744?include_resources=true | 200 | true | 86485 | Understanding Large Reasoning Models through Reasoning Graph Properties | https://arxiv.org/abs/2506.05744 | [] | [] | [] | [] | [] |
2510.16540 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16540?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.20578 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20578?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2601.06913 | https://paperswithcode.co/api/v1/papers/arxiv/2601.06913?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.20779 | https://paperswithcode.co/api/v1/papers/arxiv/2511.20779?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.21193 | https://paperswithcode.co/api/v1/papers/arxiv/2511.21193?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.12419 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12419?include_resources=true | 200 | true | 86299 | Embedding Principle of Homogeneous Neural Network for Classification Problem | https://arxiv.org/abs/2505.12419 | [] | [] | [] | [] | [] |
2509.16336 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16336?include_resources=true | 200 | true | 68114 | Neural Atlas Graphs for Dynamic Scene Decomposition and Editing | https://arxiv.org/abs/2509.16336 | [] | [] | [] | [] | [] |
2506.07413 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07413?include_resources=true | 200 | true | 87200 | Variational Supervised Contrastive Learning | https://arxiv.org/abs/2506.07413 | [] | [] | [] | [] | [] |
2506.21170 | https://paperswithcode.co/api/v1/papers/arxiv/2506.21170?include_resources=true | 200 | true | 51498 | Compressed and Smooth Latent Space for Text Diffusion Modeling | https://arxiv.org/abs/2506.21170 | [
{
"url": "https://github.com/MeshchaninovViacheslav/cosmos",
"owner": "MeshchaninovViacheslav",
"name": "cosmos",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2510.01704 | https://paperswithcode.co/api/v1/papers/arxiv/2510.01704?include_resources=true | 200 | true | 67129 | Holistic Order Prediction in Natural Scenes | https://arxiv.org/abs/2510.01704 | [
{
"url": "https://github.com/snu-vgilab/instaorder",
"owner": "snu-vgilab",
"name": "instaorder",
"stars": 29,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2505.14806 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14806?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.15657 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15657?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2508.12792 | https://paperswithcode.co/api/v1/papers/arxiv/2508.12792?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2501.00565 | https://paperswithcode.co/api/v1/papers/arxiv/2501.00565?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2410.18987 | https://paperswithcode.co/api/v1/papers/arxiv/2410.18987?include_resources=true | 200 | true | 87359 | Point Cloud Synthesis Using Inner Product Transforms | https://arxiv.org/abs/2410.18987 | [] | [] | [] | [] | [] |
2509.17993 | https://paperswithcode.co/api/v1/papers/arxiv/2509.17993?include_resources=true | 200 | true | 85832 | StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models | https://arxiv.org/abs/2509.17993 | [] | [] | [] | [] | [] |
2505.18832 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18832?include_resources=true | 200 | true | 86904 | Localizing Knowledge in Diffusion Transformers | https://arxiv.org/abs/2505.18832 | [] | [] | [] | [] | [] |
2502.08457 | https://paperswithcode.co/api/v1/papers/arxiv/2502.08457?include_resources=true | 200 | true | 85847 | Learning Theory for Kernel Bilevel Optimization | https://arxiv.org/abs/2502.08457 | [] | [] | [] | [] | [] |
2408.15176 | https://paperswithcode.co/api/v1/papers/arxiv/2408.15176?include_resources=true | 200 | true | 36284 | Unifying Multitrack Music Arrangement via Reconstruction Fine-Tuning and Efficient Tokenization | https://arxiv.org/abs/2408.15176v2 | [] | [] | [] | [] | [] |
2505.17013 | https://paperswithcode.co/api/v1/papers/arxiv/2505.17013?include_resources=true | 200 | true | 87343 | When Are Concepts Erased From Diffusion Models? | https://arxiv.org/abs/2505.17013 | [] | [] | [] | [] | [] |
2505.13358 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13358?include_resources=true | 200 | true | 85748 | One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling | https://arxiv.org/abs/2505.13358 | [
{
"url": "https://github.com/azencot-group/kdm",
"owner": "azencot-group",
"name": "kdm",
"stars": 15,
"is_official": true,
"source": "neurips2025_import"
}
] | [
{
"url": "https://sites.google.com/view/koopman-distillation-model",
"is_official": true
}
] | [] | [] | [] |
2506.03131 | https://paperswithcode.co/api/v1/papers/arxiv/2506.03131?include_resources=true | 200 | true | 50493 | Native-Resolution Image Synthesis | https://arxiv.org/abs/2506.03131 | [
{
"url": "https://github.com/wzdthu/nit",
"owner": "WZDTHU",
"name": "NiT",
"stars": 295,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://wzdthu.github.io/NiT/",
"is_official": true
},
{
"url": "https://wzdthu.github.io/NiT",
"is_official": true
}
] | [] | [] | [] |
2506.03143 | https://paperswithcode.co/api/v1/papers/arxiv/2506.03143?include_resources=true | 200 | true | 50497 | GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents | https://arxiv.org/abs/2506.03143 | [
{
"url": "https://github.com/microsoft/gui-actor",
"owner": "microsoft",
"name": "GUI-Actor",
"stars": 361,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://microsoft.github.io/GUI-Actor/",
"is_official": true
}
] | [
"https://huggingface.co/microsoft/GUI-Actor-7B-Qwen2.5-VL",
"https://huggingface.co/microsoft/GUI-Actor-3B-Qwen2.5-VL",
"https://huggingface.co/microsoft/GUI-Actor-2B-Qwen2-VL"
] | [] | [] |
2501.14808 | https://paperswithcode.co/api/v1/papers/arxiv/2501.14808?include_resources=true | 200 | true | 43220 | HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location | https://arxiv.org/abs/2501.14808v3 | [
{
"url": "https://github.com/UIUC-MLSys/HyGen",
"owner": "UIUC-MLSys",
"name": "HyGen",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2503.02809 | https://paperswithcode.co/api/v1/papers/arxiv/2503.02809?include_resources=true | 200 | true | 86035 | A Minimalist Example of Edge-of-Stability and Progressive Sharpening | https://arxiv.org/abs/2503.02809 | [] | [] | [] | [] | [] |
2502.06734 | https://paperswithcode.co/api/v1/papers/arxiv/2502.06734?include_resources=true | 200 | true | 43949 | Señorita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists | https://arxiv.org/abs/2502.06734v3 | [
{
"url": "https://github.com/zibojia/SENORITA",
"owner": "zibojia",
"name": "SENORITA",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://senorita-2m-dataset.github.io",
"is_official": true
}
] | [] | [] | [] |
2505.18871 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18871?include_resources=true | 200 | true | 86823 | Non-Stationary Lipschitz Bandits | https://arxiv.org/abs/2505.18871 | [] | [] | [] | [] | [] |
2505.10832 | https://paperswithcode.co/api/v1/papers/arxiv/2505.10832?include_resources=true | 200 | true | 48805 | Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL | https://arxiv.org/abs/2505.10832 | [
{
"url": "https://github.com/tu2021/autothink",
"owner": "tu2021",
"name": "autothink",
"stars": 6,
"is_official": true,
"source": "links_json"
},
{
"url": "https://github.com/scienceone-ai/autothink",
"owner": "ScienceOne-AI",
"name": "AutoThink",
"stars": 0,
"is_off... | [
{
"url": "https://github.com/ScienceOne-AI/AutoThink",
"is_official": true
}
] | [] | [] | [] |
2506.02098 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02098?include_resources=true | 200 | true | 72368 | LibriBrain: Over 50 Hours of Within-Subject MEG to Improve Speech Decoding Methods at Scale | https://arxiv.org/abs/2506.02098 | [] | [] | [] | [] | [] |
2503.01707 | https://paperswithcode.co/api/v1/papers/arxiv/2503.01707?include_resources=true | 200 | true | 86608 | Metropolis Adjusted Microcanonical Hamiltonian Monte Carlo | https://arxiv.org/abs/2503.01707 | [] | [] | [] | [] | [] |
2506.16791 | https://paperswithcode.co/api/v1/papers/arxiv/2506.16791?include_resources=true | 200 | true | 51307 | TabArena: A Living Benchmark for Machine Learning on Tabular Data | https://arxiv.org/abs/2506.16791v2 | [
{
"url": "https://tabarena.ai/code",
"owner": null,
"name": null,
"stars": 0,
"is_official": false,
"source": "manual"
}
] | [
{
"url": "https://tabarena.ai",
"is_official": true
}
] | [] | [] | [] |
2502.07480 | https://paperswithcode.co/api/v1/papers/arxiv/2502.07480?include_resources=true | 200 | true | 86289 | Beyond Benign Overfitting in Nadaraya-Watson Interpolators | https://arxiv.org/abs/2502.07480 | [] | [] | [] | [] | [] |
2411.13022 | https://paperswithcode.co/api/v1/papers/arxiv/2411.13022?include_resources=true | 200 | true | 86888 | Fast MRI for All: Bridging Equity Gaps via Training without Raw Data Access | https://arxiv.org/abs/2411.13022 | [] | [] | [] | [] | [] |
2505.11816 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11816?include_resources=true | 200 | true | 73019 | Continuous Subspace Optimization for Continual Learning | https://arxiv.org/abs/2505.11816 | [] | [] | [] | [] | [] |
2510.21588 | https://paperswithcode.co/api/v1/papers/arxiv/2510.21588?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.19583 | https://paperswithcode.co/api/v1/papers/arxiv/2506.19583?include_resources=true | 200 | true | 51416 | ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks | https://arxiv.org/abs/2506.19583 | [
{
"url": "https://github.com/proximafusion/constellaration",
"owner": "proximafusion",
"name": "constellaration",
"stars": 48,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2503.24260 | https://paperswithcode.co/api/v1/papers/arxiv/2503.24260?include_resources=true | 200 | true | 73796 | MaintainCoder: Maintainable Code Generation Under Dynamic Requirements | https://arxiv.org/abs/2503.24260 | [
{
"url": "https://github.com/iaar-shanghai/maintaincoder",
"owner": "IAAR-Shanghai",
"name": "MaintainCoder",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2412.13176 | https://paperswithcode.co/api/v1/papers/arxiv/2412.13176?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.11080 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11080?include_resources=true | 200 | true | 48830 | BLEUBERI: BLEU is a surprisingly effective reward for instruction following | https://arxiv.org/abs/2505.11080 | [
{
"url": "https://github.com/lilakk/bleuberi",
"owner": "lilakk",
"name": "BLEUBERI",
"stars": 31,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2505.16901 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16901?include_resources=true | 200 | true | 49456 | Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks | https://arxiv.org/abs/2505.16901v4 | [
{
"url": "https://github.com/codefuse-ai/codefuse-cgm",
"owner": "codefuse-ai",
"name": "CodeFuse-CGM",
"stars": 499,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2505.13878 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13878?include_resources=true | 200 | true | 49102 | InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models | https://arxiv.org/abs/2505.13878 | [
{
"url": "https://github.com/reallm-labs/infifpo",
"owner": "reallm-labs",
"name": "infifpo",
"stars": 3,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2505.21497 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21497?include_resources=true | 200 | true | 49954 | Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers | https://arxiv.org/abs/2505.21497 | [
{
"url": "https://github.com/paper2poster/paper2poster",
"owner": "Paper2Poster",
"name": "Paper2Poster",
"stars": 2991,
"is_official": true,
"source": "links_json"
}
] | [
{
"url": "https://paper2poster.github.io",
"is_official": true
}
] | [] | [] | [] |
2506.22565 | https://paperswithcode.co/api/v1/papers/arxiv/2506.22565?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.