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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
2507.16813 | https://paperswithcode.co/api/v1/papers/arxiv/2507.16813?include_resources=true | 200 | true | 52038 | HOComp: Interaction-Aware Human-Object Composition | https://arxiv.org/abs/2507.16813 | [
{
"url": "https://github.com/dliang293/HOComp",
"owner": "dliang293",
"name": "HOComp",
"stars": 27,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://dliang293.github.io/HOComp-project",
"is_official": true
}
] | [] | [] | [] |
2509.17088 | https://paperswithcode.co/api/v1/papers/arxiv/2509.17088?include_resources=true | 200 | true | 68048 | AlignedGen: Aligning Style Across Generated Images | https://arxiv.org/abs/2509.17088 | [] | [] | [] | [] | [] |
2506.20324 | https://paperswithcode.co/api/v1/papers/arxiv/2506.20324?include_resources=true | 200 | true | 86074 | Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning | https://arxiv.org/abs/2506.20324 | [] | [] | [] | [] | [] |
2506.10586 | https://paperswithcode.co/api/v1/papers/arxiv/2506.10586?include_resources=true | 200 | true | 86293 | Size-adaptive Hypothesis Testing for Fairness | https://arxiv.org/abs/2506.10586 | [] | [] | [] | [] | [] |
2508.00890 | https://paperswithcode.co/api/v1/papers/arxiv/2508.00890?include_resources=true | 200 | true | 52150 | AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks | https://arxiv.org/abs/2508.00890 | [
{
"url": "https://github.com/fairyfali/agenttts",
"owner": "FairyFali",
"name": "AgentTTS",
"stars": 8,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2507.06363 | https://paperswithcode.co/api/v1/papers/arxiv/2507.06363?include_resources=true | 200 | true | 71326 | Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical
Image Segmentation | https://arxiv.org/abs/2507.06363 | [
{
"url": "https://github.com/gmum/MambaHoME",
"owner": "gmum",
"name": "MambaHoME",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2505.19492 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19492?include_resources=true | 200 | true | 49742 | ViewCraft3D: High-Fidelity and View-Consistent 3D Vector Graphics Synthesis | https://arxiv.org/abs/2505.19492 | [] | [] | [] | [] | [] |
2505.16242 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16242?include_resources=true | 200 | true | 49384 | Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies | https://arxiv.org/abs/2505.16242 | [] | [] | [] | [] | [] |
2511.08399 | https://paperswithcode.co/api/v1/papers/arxiv/2511.08399?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2412.10186 | https://paperswithcode.co/api/v1/papers/arxiv/2412.10186?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.15893 | https://paperswithcode.co/api/v1/papers/arxiv/2506.15893?include_resources=true | 200 | true | 86013 | Formal Models of Active Learning from Contrastive Examples | https://arxiv.org/abs/2506.15893 | [] | [] | [] | [] | [] |
2405.14430 | https://paperswithcode.co/api/v1/papers/arxiv/2405.14430?include_resources=true | 200 | true | 77222 | PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference | https://arxiv.org/abs/2405.14430 | [
{
"url": "https://github.com/xdit-project/xdit",
"owner": "xdit-project",
"name": "xdit",
"stars": 2611,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2510.17210 | https://paperswithcode.co/api/v1/papers/arxiv/2510.17210?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2405.20559 | https://paperswithcode.co/api/v1/papers/arxiv/2405.20559?include_resources=true | 200 | true | 86706 | Information-Driven Design of Imaging Systems | https://arxiv.org/abs/2405.20559 | [] | [
{
"url": "https://waller-lab.github.io/EncodingInformationWebsite/",
"is_official": true
}
] | [] | [] | [] |
2506.10754 | https://paperswithcode.co/api/v1/papers/arxiv/2506.10754?include_resources=true | 200 | true | 86703 | BNMusic: Blending Environmental Noises into Personalized Music | https://arxiv.org/abs/2506.10754 | [] | [] | [] | [] | [] |
2510.16857 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16857?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.21776 | https://paperswithcode.co/api/v1/papers/arxiv/2503.21776?include_resources=true | 200 | true | 46881 | Video-R1: Reinforcing Video Reasoning in MLLMs | https://arxiv.org/abs/2503.21776v3 | [
{
"url": "https://github.com/tulerfeng/video-r1",
"owner": "tulerfeng",
"name": "Video-R1",
"stars": 780,
"is_official": true,
"source": "links_json"
}
] | [
{
"url": "https://github.com/tulerfeng/Video-R1",
"is_official": true
}
] | [] | [] | [] |
2506.07584 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07584?include_resources=true | 200 | true | 72138 | MIRA: Medical Time Series Foundation Model for Real-World Health Data | https://arxiv.org/abs/2506.07584 | [] | [] | [] | [] | [] |
2502.07265 | https://paperswithcode.co/api/v1/papers/arxiv/2502.07265?include_resources=true | 200 | true | 87018 | Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds | https://arxiv.org/abs/2502.07265 | [] | [] | [] | [] | [] |
2509.16300 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16300?include_resources=true | 200 | true | 68118 | ROOT: Rethinking Offline Optimization as Distributional Translation via
Probabilistic Bridge | https://arxiv.org/abs/2509.16300 | [
{
"url": "https://github.com/cuong-dm/ROOT",
"owner": "cuong-dm",
"name": "ROOT",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2503.21023 | https://paperswithcode.co/api/v1/papers/arxiv/2503.21023?include_resources=true | 200 | true | 86176 | Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework | https://arxiv.org/abs/2503.21023 | [] | [] | [] | [] | [] |
2511.19684 | https://paperswithcode.co/api/v1/papers/arxiv/2511.19684?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2409.12394 | https://paperswithcode.co/api/v1/papers/arxiv/2409.12394?include_resources=true | 200 | true | 86412 | The Fluorescent Veil: A Stealthy and Effective Physical Adversarial Patch Against Traffic Sign Recognition | https://arxiv.org/abs/2409.12394 | [] | [] | [] | [] | [] |
2510.12726 | https://paperswithcode.co/api/v1/papers/arxiv/2510.12726?include_resources=true | 200 | true | 86372 | Improving Decision Trees through the Lens of Parameterized Local Search | https://arxiv.org/abs/2510.12726 | [] | [] | [] | [] | [] |
2409.14500 | https://paperswithcode.co/api/v1/papers/arxiv/2409.14500?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.11136 | https://paperswithcode.co/api/v1/papers/arxiv/2506.11136?include_resources=true | 200 | true | 51061 | JAFAR: Jack up Any Feature at Any Resolution | https://arxiv.org/abs/2506.11136 | [
{
"url": "https://github.com/paulcouairon/jafar",
"owner": "PaulCouairon",
"name": "JAFAR",
"stars": 211,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://jafar-upsampler.github.io/",
"is_official": true
},
{
"url": "https://jafar-upsampler.github.io",
"is_official": true
}
] | [] | [] | [] |
2506.00129 | https://paperswithcode.co/api/v1/papers/arxiv/2506.00129?include_resources=true | 200 | true | 50293 | Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation | https://arxiv.org/abs/2506.00129 | [
{
"url": "https://github.com/ed-fish/geo-sign",
"owner": "ed-fish",
"name": "Geo-Sign",
"stars": 15,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2510.05972 | https://paperswithcode.co/api/v1/papers/arxiv/2510.05972?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.12737 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12737?include_resources=true | 200 | true | 48994 | Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning | https://arxiv.org/abs/2505.12737 | [] | [] | [] | [] | [] |
2510.16989 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16989?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.17188 | https://paperswithcode.co/api/v1/papers/arxiv/2510.17188?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.08681 | https://paperswithcode.co/api/v1/papers/arxiv/2506.08681?include_resources=true | 200 | true | 86095 | Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling | https://arxiv.org/abs/2506.08681 | [] | [] | [] | [] | [] |
2510.19980 | https://paperswithcode.co/api/v1/papers/arxiv/2510.19980?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2512.01199 | https://paperswithcode.co/api/v1/papers/arxiv/2512.01199?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.01952 | https://paperswithcode.co/api/v1/papers/arxiv/2511.01952?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.15194 | https://paperswithcode.co/api/v1/papers/arxiv/2510.15194?include_resources=true | 200 | true | 87243 | Salient Concept-Aware Generative Data Augmentation | https://arxiv.org/abs/2510.15194 | [] | [] | [] | [] | [] |
2506.21209 | https://paperswithcode.co/api/v1/papers/arxiv/2506.21209?include_resources=true | 200 | true | 85905 | BitMark for Infinity: Watermarking Bitwise Autoregressive Image Generative Models | https://arxiv.org/abs/2506.21209 | [] | [] | [] | [] | [] |
2505.14667 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14667?include_resources=true | 200 | true | 49213 | SAFEPATH: Preventing Harmful Reasoning in Chain-of-Thought via Early Alignment | https://arxiv.org/abs/2505.14667 | [] | [
{
"url": "https://ai-isl.github.io/safepath",
"is_official": true
}
] | [] | [] | [] |
2510.20606 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20606?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2512.08987 | https://paperswithcode.co/api/v1/papers/arxiv/2512.08987?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.21988 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21988?include_resources=true | 200 | true | 86569 | Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism | https://arxiv.org/abs/2505.21988 | [
{
"url": "https://github.com/zyzheng17/functional_subgraph_matching-neurips25",
"owner": "zyzheng17",
"name": "functional_subgraph_matching-neurips25",
"stars": 6,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2411.07449 | https://paperswithcode.co/api/v1/papers/arxiv/2411.07449?include_resources=true | 200 | true | 86268 | Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution | https://arxiv.org/abs/2411.07449 | [] | [] | [] | [] | [] |
2507.09122 | https://paperswithcode.co/api/v1/papers/arxiv/2507.09122?include_resources=true | 200 | true | 51861 | SnapMoGen: Human Motion Generation from Expressive Texts | https://arxiv.org/abs/2507.09122 | [
{
"url": "https://github.com/snap-research/SnapMoGen",
"owner": "snap-research",
"name": "SnapMoGen",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://snap-research.github.io/SnapMoGen/",
"is_official": true
}
] | [] | [] | [] |
2410.22366 | https://paperswithcode.co/api/v1/papers/arxiv/2410.22366?include_resources=true | 200 | true | 39351 | Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders | https://arxiv.org/abs/2410.22366v2 | [
{
"url": "https://github.com/surkovv/sdxl-unbox",
"owner": "surkovv",
"name": "sdxl-unbox",
"stars": 79,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2510.16916 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16916?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2411.11496 | https://paperswithcode.co/api/v1/papers/arxiv/2411.11496?include_resources=true | 200 | true | 85966 | Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models | https://arxiv.org/abs/2411.11496 | [
{
"url": "https://github.com/gzcch/safety_snowball_agent",
"owner": "gzcch",
"name": "safety_snowball_agent",
"stars": 6,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2505.15636 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15636?include_resources=true | 200 | true | 87007 | Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search | https://arxiv.org/abs/2505.15636 | [] | [] | [] | [] | [] |
2503.16578 | https://paperswithcode.co/api/v1/papers/arxiv/2503.16578?include_resources=true | 200 | true | 46505 | SeniorTalk: A Chinese Conversation Dataset with Rich Annotations for Super-Aged Seniors | https://arxiv.org/abs/2503.16578 | [] | [] | [] | [] | [] |
2410.04039 | https://paperswithcode.co/api/v1/papers/arxiv/2410.04039?include_resources=true | 200 | true | 86866 | BlockScan: Detecting Anomalies in Blockchain Transactions | https://arxiv.org/abs/2410.04039 | [] | [] | [] | [] | [] |
2408.16766 | https://paperswithcode.co/api/v1/papers/arxiv/2408.16766?include_resources=true | 200 | true | 36391 | CSGO: Content-Style Composition in Text-to-Image Generation | https://arxiv.org/abs/2408.16766v2 | [
{
"url": "https://github.com/instantx-research/csgo",
"owner": "instantX-research",
"name": "CSGO",
"stars": 382,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://csgo-gen.github.io/",
"is_official": true
}
] | [] | [] | [] |
2506.04667 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04667?include_resources=true | 200 | true | 72255 | FlashMoE: Fast Distributed MoE in a Single Kernel | https://arxiv.org/abs/2506.04667 | [] | [] | [] | [] | [] |
2502.15543 | https://paperswithcode.co/api/v1/papers/arxiv/2502.15543?include_resources=true | 200 | true | 44765 | PIP-KAG: Mitigating Knowledge Conflicts in Knowledge-Augmented Generation via Parametric Pruning | https://arxiv.org/abs/2502.15543 | [
{
"url": "https://github.com/openbmb/parammute",
"owner": "openbmb",
"name": "parammute",
"stars": 58,
"is_official": true,
"source": "neurips2025_import"
},
{
"url": "https://github.com/openbmb/pip-kag",
"owner": "OpenBMB",
"name": "PIP-KAG",
"stars": 54,
"is_officia... | [] | [] | [] | [] |
2506.13750 | https://paperswithcode.co/api/v1/papers/arxiv/2506.13750?include_resources=true | 200 | true | 51170 | Test3R: Learning to Reconstruct 3D at Test Time | https://arxiv.org/abs/2506.13750 | [
{
"url": "https://github.com/nopqaq/test3r",
"owner": "nopQAQ",
"name": "Test3R",
"stars": 121,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://test3r-nop.github.io/",
"is_official": true
}
] | [] | [] | [] |
2507.05397 | https://paperswithcode.co/api/v1/papers/arxiv/2507.05397?include_resources=true | 200 | true | 51732 | Neural-Driven Image Editing | https://arxiv.org/abs/2507.05397 | [
{
"url": "https://github.com/lancezpf/loongx",
"owner": "LanceZPF",
"name": "loongx",
"stars": 66,
"is_official": true,
"source": "links_json"
}
] | [
{
"url": "https://loongx1.github.io/",
"is_official": true
}
] | [] | [] | [] |
2503.15634 | https://paperswithcode.co/api/v1/papers/arxiv/2503.15634?include_resources=true | 200 | true | 86145 | Homogeneous Algorithms Can Reduce Competition in Personalized Pricing | https://arxiv.org/abs/2503.15634 | [] | [] | [] | [] | [] |
2505.13708 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13708?include_resources=true | 200 | true | 85972 | Robust learning of halfspaces under log-concave marginals | https://arxiv.org/abs/2505.13708 | [] | [] | [] | [] | [] |
2505.15795 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15795?include_resources=true | 200 | true | 49328 | Reverse Engineering Human Preferences with Reinforcement Learning | https://arxiv.org/abs/2505.15795 | [] | [] | [] | [] | [] |
2506.09991 | https://paperswithcode.co/api/v1/papers/arxiv/2506.09991?include_resources=true | 200 | true | 50970 | Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation | https://arxiv.org/abs/2506.09991 | [
{
"url": "https://github.com/multiverse4fm/multiverse",
"owner": "Multiverse4FM",
"name": "Multiverse",
"stars": 88,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://multiverse4fm.github.io/",
"is_official": true
},
{
"url": "https://Multiverse4FM.github.io",
"is_official": true
}
] | [] | [] | [] |
2509.17513 | https://paperswithcode.co/api/v1/papers/arxiv/2509.17513?include_resources=true | 200 | true | 85950 | 4DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming | https://arxiv.org/abs/2509.17513 | [] | [
{
"url": "https://mediax-sjtu.github.io/4DGCPro/",
"is_official": true
}
] | [] | [] | [] |
2511.06846 | https://paperswithcode.co/api/v1/papers/arxiv/2511.06846?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.10833 | https://paperswithcode.co/api/v1/papers/arxiv/2505.10833?include_resources=true | 200 | true | 73051 | MergeBench: A Benchmark for Merging Domain-Specialized LLMs | https://arxiv.org/abs/2505.10833 | [
{
"url": "https://github.com/uiuctml/mergebench",
"owner": "uiuctml",
"name": "mergebench",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://huggingface.co/MergeBench",
"is_official": true
}
] | [] | [] | [] |
2507.05193 | https://paperswithcode.co/api/v1/papers/arxiv/2507.05193?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2412.05897 | https://paperswithcode.co/api/v1/papers/arxiv/2412.05897?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.02964 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02964?include_resources=true | 200 | true | 85769 | FORLA:Federated Object-centric Representation Learning with Slot Attention | https://arxiv.org/abs/2506.02964 | [] | [] | [] | [] | [] |
2509.15497 | https://paperswithcode.co/api/v1/papers/arxiv/2509.15497?include_resources=true | 200 | true | 86721 | Backdoor Mitigation via Invertible Pruning Masks | https://arxiv.org/abs/2509.15497 | [] | [] | [] | [] | [] |
2505.19641 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19641?include_resources=true | 200 | true | 49759 | SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond | https://arxiv.org/abs/2505.19641 | [
{
"url": "https://github.com/minimax-ai/synlogic",
"owner": "MiniMax-AI",
"name": "SynLogic",
"stars": 188,
"is_official": true,
"source": "links_json"
}
] | [
{
"url": "https://huggingface.co/datasets/MiniMaxAI/SynLogic",
"is_official": true
}
] | [] | [] | [] |
2510.21460 | https://paperswithcode.co/api/v1/papers/arxiv/2510.21460?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.01203 | https://paperswithcode.co/api/v1/papers/arxiv/2502.01203?include_resources=true | 200 | true | 86555 | Theoretical Analysis of KL-regularized RLHF with Multiple Reference Models | https://arxiv.org/abs/2502.01203 | [] | [] | [] | [] | [] |
2509.19189 | https://paperswithcode.co/api/v1/papers/arxiv/2509.19189?include_resources=true | 200 | true | 86342 | Unveiling the Role of Learning‑Rate Schedules via Functional Scaling Laws | https://arxiv.org/abs/2509.19189 | [] | [] | [] | [] | [] |
2511.08269 | https://paperswithcode.co/api/v1/papers/arxiv/2511.08269?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.15725 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15725?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.21478 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21478?include_resources=true | 200 | true | 87237 | Policy Optimized Text-to-Image Pipeline Design | https://arxiv.org/abs/2505.21478 | [] | [] | [] | [] | [] |
2506.05252 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05252?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.16984 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16984?include_resources=true | 200 | true | 49473 | UFT: Unifying Supervised and Reinforcement Fine-Tuning | https://arxiv.org/abs/2505.16984 | [
{
"url": "https://github.com/liumy2010/uft",
"owner": "liumy2010",
"name": "UFT",
"stars": 20,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2509.17784 | https://paperswithcode.co/api/v1/papers/arxiv/2509.17784?include_resources=true | 200 | true | 86025 | Revealing Multimodal Causality with Large Language Models | https://arxiv.org/abs/2509.17784 | [] | [] | [] | [] | [] |
2503.09561 | https://paperswithcode.co/api/v1/papers/arxiv/2503.09561?include_resources=true | 200 | true | 86604 | Strategyproof Reinforcement Learning from Human Feedback | https://arxiv.org/abs/2503.09561 | [] | [] | [] | [] | [] |
2505.11411 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11411?include_resources=true | 200 | true | 87079 | Is Grokking a Computational Glass Relaxation? | https://arxiv.org/abs/2505.11411 | [] | [] | [] | [] | [] |
2510.18583 | https://paperswithcode.co/api/v1/papers/arxiv/2510.18583?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.07687 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07687?include_resources=true | 200 | true | 87122 | Rao-Blackwellised Reparameterisation Gradients | https://arxiv.org/abs/2506.07687 | [] | [] | [] | [] | [] |
2505.21658 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21658?include_resources=true | 200 | true | 86075 | STACI: Spatio-Temporal Aleatoric Conformal Inference | https://arxiv.org/abs/2505.21658 | [] | [] | [] | [] | [] |
2507.14740 | https://paperswithcode.co/api/v1/papers/arxiv/2507.14740?include_resources=true | 200 | true | 86498 | Better Training Data Attribution via Better Inverse Hessian-Vector Products | https://arxiv.org/abs/2507.14740 | [] | [] | [] | [] | [] |
2505.22651 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22651?include_resources=true | 200 | true | 50027 | Sherlock: Self-Correcting Reasoning in Vision-Language Models | https://arxiv.org/abs/2505.22651 | [
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] | [
{
"url": "https://dripnowhy.github.io/Sherlock/",
"is_official": true
}
] | [] | [] | [] |
2505.20510 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20510?include_resources=true | 200 | true | 87255 | CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic | https://arxiv.org/abs/2505.20510 | [] | [] | [] | [] | [] |
2510.19517 | https://paperswithcode.co/api/v1/papers/arxiv/2510.19517?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.08012 | https://paperswithcode.co/api/v1/papers/arxiv/2506.08012?include_resources=true | 200 | true | 50820 | GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior | https://arxiv.org/abs/2506.08012 | [
{
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"name": "GUI_Reflection",
"stars": 27,
"is_official": true,
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}
] | [
{
"url": "https://penghao-wu.github.io/GUI_Reflection/",
"is_official": true
}
] | [] | [] | [] |
2506.03849 | https://paperswithcode.co/api/v1/papers/arxiv/2506.03849?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.24292 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24292?include_resources=true | 200 | true | 86278 | Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules | https://arxiv.org/abs/2505.24292 | [] | [] | [] | [] | [] |
2509.22793 | https://paperswithcode.co/api/v1/papers/arxiv/2509.22793?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2507.05158 | https://paperswithcode.co/api/v1/papers/arxiv/2507.05158?include_resources=true | 200 | true | 87157 | InfoSteer: Steering Information Utility in Language Model Post-Training | https://arxiv.org/abs/2507.05158 | [] | [] | [] | [] | [] |
2506.05801 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05801?include_resources=true | 200 | true | 87358 | Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model | https://arxiv.org/abs/2506.05801 | [] | [] | [] | [] | [] |
2506.03784 | https://paperswithcode.co/api/v1/papers/arxiv/2506.03784?include_resources=true | 200 | true | 86790 | When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective | https://arxiv.org/abs/2506.03784 | [] | [] | [] | [] | [] |
2502.01472 | https://paperswithcode.co/api/v1/papers/arxiv/2502.01472?include_resources=true | 200 | true | 86332 | FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model | https://arxiv.org/abs/2502.01472 | [] | [] | [] | [] | [] |
2510.18687 | https://paperswithcode.co/api/v1/papers/arxiv/2510.18687?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.18513 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18513?include_resources=true | 200 | true | 49620 | Enhancing Training Data Attribution with Representational Optimization | https://arxiv.org/abs/2505.18513 | [
{
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"is_official": true,
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] | [] | [] | [] | [] |
2506.15707 | https://paperswithcode.co/api/v1/papers/arxiv/2506.15707?include_resources=true | 200 | true | 86279 | Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling | https://arxiv.org/abs/2506.15707 | [] | [] | [] | [] | [] |
2505.20640 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20640?include_resources=true | 200 | true | 72685 | IndustryEQA: Pushing the Frontiers of Embodied Question Answering in
Industrial Scenarios | https://arxiv.org/abs/2505.20640 | [] | [] | [] | [] | [] |
2501.16642 | https://paperswithcode.co/api/v1/papers/arxiv/2501.16642?include_resources=true | 200 | true | 86726 | A Stochastic Interpolant-based Framework for Data Assimilation | https://arxiv.org/abs/2501.16642 | [] | [] | [] | [] | [] |
2502.03639 | https://paperswithcode.co/api/v1/papers/arxiv/2502.03639?include_resources=true | 200 | true | 43725 | Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach | https://arxiv.org/abs/2502.03639 | [] | [
{
"url": "https://snap-research.github.io/PointVidGen/",
"is_official": true
}
] | [] | [] | [] |
2506.07520 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07520?include_resources=true | 200 | true | 50767 | LeVo: High-Quality Song Generation with Multi-Preference Alignment | https://arxiv.org/abs/2506.07520v2 | [
{
"url": "https://github.com/tencent-ailab/songgeneration",
"owner": "tencent-ailab",
"name": "songgeneration",
"stars": 1013,
"is_official": true,
"source": "links_json"
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] | [
{
"url": "https://levo-demo.github.io/",
"is_official": true
},
{
"url": "https://levo-demo.github.io/.",
"is_official": true
}
] | [] | [] | [] |
2501.18009 | https://paperswithcode.co/api/v1/papers/arxiv/2501.18009?include_resources=true | 200 | true | 43393 | Large Language Models Think Too Fast To Explore Effectively | https://arxiv.org/abs/2501.18009v2 | [
{
"url": "https://github.com/zhaoolee/garss",
"owner": "zhaoolee",
"name": "garss",
"stars": 1318,
"is_official": false,
"source": "links_json"
}
] | [] | [] | [] | [] |
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