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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
2410.19315 | https://paperswithcode.co/api/v1/papers/arxiv/2410.19315?include_resources=true | 200 | true | 86389 | Brain-like variational inference | https://arxiv.org/abs/2410.19315 | [] | [] | [] | [] | [] |
2412.11673 | https://paperswithcode.co/api/v1/papers/arxiv/2412.11673?include_resources=true | 200 | true | 41641 | $\texttt{DINO-Foresight}$: Looking into the Future with DINO | https://arxiv.org/abs/2412.11673 | [
{
"url": "https://github.com/sta8is/dino-foresight",
"owner": "Sta8is",
"name": "DINO-Foresight",
"stars": 136,
"is_official": true,
"source": "links_json"
}
] | [
{
"url": "https://dino-foresight.github.io",
"is_official": true
}
] | [] | [] | [] |
2511.02087 | https://paperswithcode.co/api/v1/papers/arxiv/2511.02087?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2507.07105 | https://paperswithcode.co/api/v1/papers/arxiv/2507.07105?include_resources=true | 200 | true | 51801 | 4KAgent: Agentic Any Image to 4K Super-Resolution | https://arxiv.org/abs/2507.07105 | [
{
"url": "https://github.com/taco-group/4kagent",
"owner": "taco-group",
"name": "4KAgent",
"stars": 701,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://4kagent.github.io/",
"is_official": true
}
] | [] | [] | [] |
2409.12126 | https://paperswithcode.co/api/v1/papers/arxiv/2409.12126?include_resources=true | 200 | true | 37043 | Linguini: A benchmark for language-agnostic linguistic reasoning | https://arxiv.org/abs/2409.12126 | [
{
"url": "https://github.com/facebookresearch/linguini",
"owner": "facebookresearch",
"name": "linguini",
"stars": 9,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2505.21073 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21073?include_resources=true | 200 | true | 86947 | Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity | https://arxiv.org/abs/2505.21073 | [] | [] | [] | [] | [] |
2503.16024 | https://paperswithcode.co/api/v1/papers/arxiv/2503.16024?include_resources=true | 200 | true | 46445 | The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement | https://arxiv.org/abs/2503.16024 | [] | [] | [] | [] | [] |
2511.00220 | https://paperswithcode.co/api/v1/papers/arxiv/2511.00220?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.10361 | https://paperswithcode.co/api/v1/papers/arxiv/2505.10361?include_resources=true | 200 | true | 86732 | Plasticity as the Mirror of Empowerment | https://arxiv.org/abs/2505.10361 | [] | [] | [] | [] | [] |
2506.21552 | https://paperswithcode.co/api/v1/papers/arxiv/2506.21552?include_resources=true | 200 | true | 51532 | Whole-Body Conditioned Egocentric Video Prediction | https://arxiv.org/abs/2506.21552 | [] | [
{
"url": "https://dannytran123.github.io/PEVA",
"is_official": true
}
] | [] | [] | [] |
2510.15152 | https://paperswithcode.co/api/v1/papers/arxiv/2510.15152?include_resources=true | 200 | true | 87463 | Tail-Optimized Caching for LLM Inference | https://arxiv.org/abs/2510.15152 | [] | [] | [] | [] | [] |
2502.02175 | https://paperswithcode.co/api/v1/papers/arxiv/2502.02175?include_resources=true | 200 | true | 43638 | VLA-Cache: Towards Efficient Vision-Language-Action Model via Adaptive Token Caching in Robotic Manipulation | https://arxiv.org/abs/2502.02175 | [
{
"url": "https://github.com/siyuhsu/vla-cache",
"owner": "siyuhsu",
"name": "vla-cache",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://vla-cache.github.io",
"is_official": true
}
] | [] | [] | [] |
2505.21441 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21441?include_resources=true | 200 | true | 86327 | Autoencoding Random Forests | https://arxiv.org/abs/2505.21441 | [] | [] | [] | [] | [] |
2506.03077 | https://paperswithcode.co/api/v1/papers/arxiv/2506.03077?include_resources=true | 200 | true | 50483 | StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs | https://arxiv.org/abs/2506.03077 | [
{
"url": "https://github.com/ledzy/streambp",
"owner": "Ledzy",
"name": "StreamBP",
"stars": 74,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2410.03119 | https://paperswithcode.co/api/v1/papers/arxiv/2410.03119?include_resources=true | 200 | true | 85888 | Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems | https://arxiv.org/abs/2410.03119 | [] | [] | [] | [] | [] |
2509.16865 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16865?include_resources=true | 200 | true | 86898 | Large Language Models as End-to-end Combinatorial Optimization Solvers | https://arxiv.org/abs/2509.16865 | [] | [] | [] | [] | [] |
2506.05216 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05216?include_resources=true | 200 | true | 86030 | A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values | https://arxiv.org/abs/2506.05216 | [] | [] | [] | [] | [] |
2507.14815 | https://paperswithcode.co/api/v1/papers/arxiv/2507.14815?include_resources=true | 200 | true | 70969 | FastLongSpeech: Enhancing Large Speech-Language Models for Efficient
Long-Speech Processing | https://arxiv.org/abs/2507.14815 | [] | [] | [] | [] | [] |
2505.19591 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19591?include_resources=true | 200 | true | 49753 | Multi-Agent Collaboration via Evolving Orchestration | https://arxiv.org/abs/2505.19591 | [
{
"url": "https://github.com/openbmb/chatdev",
"owner": "openbmb",
"name": "chatdev",
"stars": 27921,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2502.01609 | https://paperswithcode.co/api/v1/papers/arxiv/2502.01609?include_resources=true | 200 | true | 74940 | Breaking Focus: Contextual Distraction Curse in Large Language Models | https://arxiv.org/abs/2502.01609 | [
{
"url": "https://github.com/wyf23187/adaptive_distractions",
"owner": "wyf23187",
"name": "adaptive_distractions",
"stars": 26,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2510.27210 | https://paperswithcode.co/api/v1/papers/arxiv/2510.27210?include_resources=true | 200 | true | 65594 | GUI-Rise: Structured Reasoning and History Summarization for GUI Navigation | https://arxiv.org/abs/2510.27210 | [] | [
{
"url": "https://leon022.github.io/GUI-Rise",
"is_official": true
}
] | [] | [] | [] |
2509.18942 | https://paperswithcode.co/api/v1/papers/arxiv/2509.18942?include_resources=true | 200 | true | 87206 | Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning | https://arxiv.org/abs/2509.18942 | [] | [] | [] | [] | [] |
2506.03595 | https://paperswithcode.co/api/v1/papers/arxiv/2506.03595?include_resources=true | 200 | true | 87371 | Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner | https://arxiv.org/abs/2506.03595 | [] | [] | [] | [] | [] |
2508.12511 | https://paperswithcode.co/api/v1/papers/arxiv/2508.12511?include_resources=true | 200 | true | 87182 | Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference | https://arxiv.org/abs/2508.12511 | [] | [] | [] | [] | [] |
2504.19599 | https://paperswithcode.co/api/v1/papers/arxiv/2504.19599?include_resources=true | 200 | true | 48189 | GVPO: Group Variance Policy Optimization for Large Language Model Post-Training | https://arxiv.org/abs/2504.19599v2 | [] | [] | [] | [] | [] |
2506.21924 | https://paperswithcode.co/api/v1/papers/arxiv/2506.21924?include_resources=true | 200 | true | 86535 | SPAZER: Spatial-Semantic Progressive Reasoning Agent for Zero-shot 3D Visual Grounding | https://arxiv.org/abs/2506.21924 | [] | [] | [] | [] | [] |
2510.16039 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16039?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.01420 | https://paperswithcode.co/api/v1/papers/arxiv/2506.01420?include_resources=true | 200 | true | 87306 | Self-Refining Language Model Anonymizers via Adversarial Distillation | https://arxiv.org/abs/2506.01420 | [] | [] | [] | [] | [] |
2509.16756 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16756?include_resources=true | 200 | true | 86864 | Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees | https://arxiv.org/abs/2509.16756 | [] | [] | [] | [] | [] |
2509.26074 | https://paperswithcode.co/api/v1/papers/arxiv/2509.26074?include_resources=true | 200 | true | 87386 | Limited Preference Data? Learning Better Reward Model with Latent Space Synthesis | https://arxiv.org/abs/2509.26074 | [
{
"url": "https://github.com/deeplearning-wisc/lens",
"owner": "deeplearning-wisc",
"name": "lens",
"stars": 8,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2605.07690 | https://paperswithcode.co/api/v1/papers/arxiv/2605.07690?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.19552 | https://paperswithcode.co/api/v1/papers/arxiv/2509.19552?include_resources=true | 200 | true | 86688 | iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning | https://arxiv.org/abs/2509.19552 | [] | [] | [] | [] | [] |
2505.21692 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21692?include_resources=true | 200 | true | 86642 | What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization | https://arxiv.org/abs/2505.21692 | [] | [] | [] | [] | [] |
2410.09678 | https://paperswithcode.co/api/v1/papers/arxiv/2410.09678?include_resources=true | 200 | true | 87402 | Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis | https://arxiv.org/abs/2410.09678 | [] | [] | [] | [] | [] |
2506.12015 | https://paperswithcode.co/api/v1/papers/arxiv/2506.12015?include_resources=true | 200 | true | 51090 | EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction | https://arxiv.org/abs/2506.12015 | [
{
"url": "https://github.com/hsi-che-lin/emloc",
"owner": "hsi-che-lin",
"name": "EMLoC",
"stars": 9,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://hsi-che-lin.github.io/EMLoC/",
"is_official": true
},
{
"url": "https://hsi-che-lin.github.io/EMLoC",
"is_official": true
}
] | [] | [] | [] |
2507.07024 | https://paperswithcode.co/api/v1/papers/arxiv/2507.07024?include_resources=true | 200 | true | 51797 | FlexOlmo: Open Language Models for Flexible Data Use | https://arxiv.org/abs/2507.07024v4 | [
{
"url": "https://github.com/allenai/FlexOlmo",
"owner": "allenai",
"name": "FlexOlmo",
"stars": 120,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://allenai.org/blog/flexolmo",
"is_official": true
}
] | [
"https://huggingface.co/models?other=arxiv:2507.07024",
"https://huggingface.co/allenai/FlexOlmo-7x7B-1T",
"https://huggingface.co/allenai/Flex-public-7B-1T"
] | [] | [] |
2510.21128 | https://paperswithcode.co/api/v1/papers/arxiv/2510.21128?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.15507 | https://paperswithcode.co/api/v1/papers/arxiv/2511.15507?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.04694 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04694?include_resources=true | 200 | true | 85723 | Influence Functions for Edge Edits in Non-Convex Graph Neural Networks | https://arxiv.org/abs/2506.04694 | [] | [] | [] | [] | [] |
2503.02878 | https://paperswithcode.co/api/v1/papers/arxiv/2503.02878?include_resources=true | 200 | true | 45443 | Language Models can Self-Improve at State-Value Estimation for Better Search | https://arxiv.org/abs/2503.02878 | [
{
"url": "https://github.com/ethanm88/self-taught-lookahead",
"owner": "ethanm88",
"name": "self-taught-lookahead",
"stars": 4,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2406.06014 | https://paperswithcode.co/api/v1/papers/arxiv/2406.06014?include_resources=true | 200 | true | 86997 | Network two-sample test for block models | https://arxiv.org/abs/2406.06014 | [] | [] | [] | [] | [] |
2505.18947 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18947?include_resources=true | 200 | true | 86660 | OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model | https://arxiv.org/abs/2505.18947 | [] | [] | [] | [] | [] |
2505.11065 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11065?include_resources=true | 200 | true | 73041 | Time Travel is Cheating: Going Live with DeepFund for Real-Time Fund
Investment Benchmarking | https://arxiv.org/abs/2505.11065 | [
{
"url": "https://github.com/HKUSTDial/DeepFund",
"owner": "HKUSTDial",
"name": "DeepFund",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2402.10028 | https://paperswithcode.co/api/v1/papers/arxiv/2402.10028?include_resources=true | 200 | true | 86561 | Diffusion Models Meet Contextual Bandits | https://arxiv.org/abs/2402.10028 | [] | [] | [] | [] | [] |
2510.18352 | https://paperswithcode.co/api/v1/papers/arxiv/2510.18352?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2401.06122 | https://paperswithcode.co/api/v1/papers/arxiv/2401.06122?include_resources=true | 200 | true | 85819 | Manipulating Feature Visualizations with Gradient Slingshots | https://arxiv.org/abs/2401.06122 | [] | [] | [] | [] | [] |
2503.13070 | https://paperswithcode.co/api/v1/papers/arxiv/2503.13070?include_resources=true | 200 | true | 46239 | Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation | https://arxiv.org/abs/2503.13070v2 | [
{
"url": "https://github.com/luo-yihong/r0",
"owner": "Luo-Yihong",
"name": "R0",
"stars": 34,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2504.08809 | https://paperswithcode.co/api/v1/papers/arxiv/2504.08809?include_resources=true | 200 | true | 73618 | Decoupling Contrastive Decoding: Robust Hallucination Mitigation in
Multimodal Large Language Models | https://arxiv.org/abs/2504.08809 | [] | [] | [] | [] | [] |
2510.17847 | https://paperswithcode.co/api/v1/papers/arxiv/2510.17847?include_resources=true | 200 | true | 66591 | CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization | https://arxiv.org/abs/2510.17847 | [] | [] | [] | [] | [] |
2502.11609 | https://paperswithcode.co/api/v1/papers/arxiv/2502.11609?include_resources=true | 200 | true | 86400 | Exploiting Task Relationships for Continual Learning Using Transferability-Aware Task Embeddings | https://arxiv.org/abs/2502.11609 | [] | [] | [] | [] | [] |
2504.15473 | https://paperswithcode.co/api/v1/papers/arxiv/2504.15473?include_resources=true | 200 | true | 87074 | Emergence and Evolution of Interpretable Concepts in Diffusion Models | https://arxiv.org/abs/2504.15473 | [] | [] | [] | [] | [] |
2502.07193 | https://paperswithcode.co/api/v1/papers/arxiv/2502.07193?include_resources=true | 200 | true | 87448 | Provably Efficient Online RLHF with One-Pass Reward Modeling | https://arxiv.org/abs/2502.07193 | [] | [] | [] | [] | [] |
2411.19477 | https://paperswithcode.co/api/v1/papers/arxiv/2411.19477?include_resources=true | 200 | true | 40685 | Simple and Provable Scaling Laws for the Test-Time Compute of Large Language Models | https://arxiv.org/abs/2411.19477v4 | [] | [] | [] | [] | [] |
2409.03811 | https://paperswithcode.co/api/v1/papers/arxiv/2409.03811?include_resources=true | 200 | true | 36634 | Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization | https://arxiv.org/abs/2409.03811v2 | [
{
"url": "https://github.com/ai4co/parco",
"owner": "ai4co",
"name": "parco",
"stars": 32,
"is_official": true,
"source": "links_json"
},
{
"url": "https://github.com/ai4co/camp",
"owner": "ai4co",
"name": "camp",
"stars": 27,
"is_official": false,
"source": "link... | [] | [] | [] | [] |
2512.12135 | https://paperswithcode.co/api/v1/papers/arxiv/2512.12135?include_resources=true | 200 | true | 63771 | BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity | https://arxiv.org/abs/2512.12135 | [] | [] | [] | [] | [] |
2502.00234 | https://paperswithcode.co/api/v1/papers/arxiv/2502.00234?include_resources=true | 200 | true | 75016 | Fast Solvers for Discrete Diffusion Models: Theory and Applications of
High-Order Algorithms | https://arxiv.org/abs/2502.00234 | [
{
"url": "https://github.com/yuchen-zhu-zyc/DiscreteFastSolver",
"owner": "yuchen-zhu-zyc",
"name": "DiscreteFastSolver",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://github.com/yuchen-zhu-zyc/DiscreteFastSolver",
"is_official": true
}
] | [] | [] | [] |
2506.08009 | https://paperswithcode.co/api/v1/papers/arxiv/2506.08009?include_resources=true | 200 | true | 50817 | Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion | https://arxiv.org/abs/2506.08009 | [
{
"url": "https://github.com/guandeh17/self-forcing",
"owner": "guandeh17",
"name": "Self-Forcing",
"stars": 2983,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://self-forcing.github.io/",
"is_official": true
}
] | [] | [] | [] |
2505.19719 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19719?include_resources=true | 200 | true | 86786 | OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction | https://arxiv.org/abs/2505.19719 | [] | [] | [] | [] | [] |
2410.02992 | https://paperswithcode.co/api/v1/papers/arxiv/2410.02992?include_resources=true | 200 | true | 37830 | Guided Stream of Search: Learning to Better Search with Language Models via Optimal Path Guidance | https://arxiv.org/abs/2410.02992 | [
{
"url": "https://github.com/snu-mllab/guided-rest",
"owner": "snu-mllab",
"name": "guided-rest",
"stars": 6,
"is_official": true,
"source": "ai_extraction"
},
{
"url": "https://github.com/symoon11/guided-stream-of-search",
"owner": "symoon11",
"name": "guided-stream-of-searc... | [] | [] | [] | [] |
2411.07335 | https://paperswithcode.co/api/v1/papers/arxiv/2411.07335?include_resources=true | 200 | true | 75823 | Balancing Multimodal Training Through Game-Theoretic Regularization | https://arxiv.org/abs/2411.07335 | [
{
"url": "https://github.com/kkontras/mcr",
"owner": "kkontras",
"name": "MCR",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2502.15902 | https://paperswithcode.co/api/v1/papers/arxiv/2502.15902?include_resources=true | 200 | true | 44804 | IPAD: Inverse Prompt for AI Detection -- A Robust and Explainable LLM-Generated Text Detector | https://arxiv.org/abs/2502.15902 | [
{
"url": "https://github.com/Bellafc/IPAD-Inver-Prompt-for-AI-Detection-",
"owner": "Bellafc",
"name": "IPAD-Inver-Prompt-for-AI-Detection-",
"stars": 6,
"is_official": true,
"source": "links_json"
},
{
"url": "https://github.com/bellafc/ipad-inverse-prompt-for-ai-detection",
"ow... | [] | [] | [] | [] |
2506.19382 | https://paperswithcode.co/api/v1/papers/arxiv/2506.19382?include_resources=true | 200 | true | 71752 | Measuring and Guiding Monosemanticity | https://arxiv.org/abs/2506.19382 | [
{
"url": "https://github.com/ml-research/measuring-and-guiding-monosemanticity",
"owner": "ml-research",
"name": "measuring-and-guiding-monosemanticity",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://ml-research.github.io/human-centered-genai/projects/FMS%2BGSAE/index.html",
"is_official": true
}
] | [] | [] | [] |
2505.14668 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14668?include_resources=true | 200 | true | 72920 | ContextAgent: Context-Aware Proactive LLM Agents with Open-World Sensory
Perceptions | https://arxiv.org/abs/2505.14668 | [
{
"url": "https://github.com/openaiotlab/ContextAgent",
"owner": "openaiotlab",
"name": "ContextAgent",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2511.22918 | https://paperswithcode.co/api/v1/papers/arxiv/2511.22918?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.19853 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19853?include_resources=true | 200 | true | 49780 | Two Causally Related Needles in a Video Haystack | https://arxiv.org/abs/2505.19853 | [
{
"url": "https://github.com/jdsannchao/Causal2Needles",
"owner": "jdsannchao",
"name": "Causal2Needles",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://limiaoyu.github.io/Causal2Needles/",
"is_official": true
}
] | [] | [] | [] |
2511.05616 | https://paperswithcode.co/api/v1/papers/arxiv/2511.05616?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.19201 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19201?include_resources=true | 200 | true | 49700 | DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding | https://arxiv.org/abs/2505.19201 | [
{
"url": "https://github.com/sai-lab-nyu/dream",
"owner": "sai-lab-nyu",
"name": "dream",
"stars": 5,
"is_official": true,
"source": "links_json"
},
{
"url": "https://github.com/sai-lab-nyu/dream.git",
"owner": "SAI-Lab-NYU",
"name": "DREAM.git",
"stars": 0,
"is_offic... | [] | [] | [] | [] |
2512.03312 | https://paperswithcode.co/api/v1/papers/arxiv/2512.03312?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2604.21223 | https://paperswithcode.co/api/v1/papers/arxiv/2604.21223?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.09981 | https://paperswithcode.co/api/v1/papers/arxiv/2506.09981?include_resources=true | 200 | true | 50964 | ReSim: Reliable World Simulation for Autonomous Driving | https://arxiv.org/abs/2506.09981 | [] | [
{
"url": "https://opendrivelab.com/ReSim",
"is_official": true
}
] | [] | [] | [] |
2511.20273 | https://paperswithcode.co/api/v1/papers/arxiv/2511.20273?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.02896 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02896?include_resources=true | 200 | true | 72328 | FlySearch: Exploring how vision-language models explore | https://arxiv.org/abs/2506.02896 | [] | [] | [] | [] | [] |
2505.18766 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18766?include_resources=true | 200 | true | 87201 | StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations | https://arxiv.org/abs/2505.18766 | [] | [] | [] | [] | [] |
2506.01511 | https://paperswithcode.co/api/v1/papers/arxiv/2506.01511?include_resources=true | 200 | true | 86851 | Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment | https://arxiv.org/abs/2506.01511 | [] | [] | [] | [] | [] |
2411.13093 | https://paperswithcode.co/api/v1/papers/arxiv/2411.13093?include_resources=true | 200 | true | 40193 | Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension | https://arxiv.org/abs/2411.13093v3 | [
{
"url": "https://github.com/leon1207/video-rag-master",
"owner": "leon1207",
"name": "video-rag-master",
"stars": 368,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2412.09043 | https://paperswithcode.co/api/v1/papers/arxiv/2412.09043?include_resources=true | 200 | true | 86707 | DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving | https://arxiv.org/abs/2412.09043 | [
{
"url": "https://github.com/envision-research/driverecon",
"owner": "envision-research",
"name": "driverecon",
"stars": 191,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2505.14741 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14741?include_resources=true | 200 | true | 49228 | Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism | https://arxiv.org/abs/2505.14741 | [] | [] | [] | [] | [] |
2506.04195 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04195?include_resources=true | 200 | true | 86401 | MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures | https://arxiv.org/abs/2506.04195 | [] | [] | [] | [] | [] |
2506.12241 | https://paperswithcode.co/api/v1/papers/arxiv/2506.12241?include_resources=true | 200 | true | 86238 | Privacy Reasoning in Ambiguous Contexts | https://arxiv.org/abs/2506.12241 | [] | [] | [] | [] | [] |
2502.13177 | https://paperswithcode.co/api/v1/papers/arxiv/2502.13177?include_resources=true | 200 | true | 86592 | KL Penalty Control via Perturbation for Direct Preference Optimization | https://arxiv.org/abs/2502.13177 | [] | [] | [] | [] | [] |
2505.15813 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15813?include_resources=true | 200 | true | 49335 | Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex | https://arxiv.org/abs/2505.15813 | [] | [] | [] | [] | [] |
2409.16953 | https://paperswithcode.co/api/v1/papers/arxiv/2409.16953?include_resources=true | 200 | true | 85749 | PASS: Path-selective State Space Model for Event-based Recognition | https://arxiv.org/abs/2409.16953 | [] | [] | [] | [] | [] |
2412.20392 | https://paperswithcode.co/api/v1/papers/arxiv/2412.20392?include_resources=true | 200 | true | 86948 | Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning | https://arxiv.org/abs/2412.20392 | [] | [] | [] | [] | [] |
2601.14957 | https://paperswithcode.co/api/v1/papers/arxiv/2601.14957?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2411.19628 | https://paperswithcode.co/api/v1/papers/arxiv/2411.19628?include_resources=true | 200 | true | 40698 | Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings | https://arxiv.org/abs/2411.19628 | [
{
"url": "https://github.com/doubtedsteam/dyvte",
"owner": "doubtedsteam",
"name": "dyvte",
"stars": 14,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2510.20736 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20736?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.00604 | https://paperswithcode.co/api/v1/papers/arxiv/2502.00604?include_resources=true | 200 | true | 87051 | Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective | https://arxiv.org/abs/2502.00604 | [] | [] | [] | [] | [] |
2505.22444 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22444?include_resources=true | 200 | true | 86530 | On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation | https://arxiv.org/abs/2505.22444 | [] | [] | [] | [] | [] |
2504.12463 | https://paperswithcode.co/api/v1/papers/arxiv/2504.12463?include_resources=true | 200 | true | 86839 | Dense Backpropagation Improves Training for Sparse Mixture-of-Experts | https://arxiv.org/abs/2504.12463 | [
{
"url": "https://github.com/vatsal0/default-moe",
"owner": "vatsal0",
"name": "default-moe",
"stars": 19,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2505.07233 | https://paperswithcode.co/api/v1/papers/arxiv/2505.07233?include_resources=true | 200 | true | 48623 | DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation | https://arxiv.org/abs/2505.07233v2 | [
{
"url": "https://github.com/gasolsun36/dynamicrag",
"owner": "GasolSun36",
"name": "DynamicRAG",
"stars": 52,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2504.21487 | https://paperswithcode.co/api/v1/papers/arxiv/2504.21487?include_resources=true | 200 | true | 85817 | DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration | https://arxiv.org/abs/2504.21487 | [
{
"url": "https://github.com/mililab/dgsolver",
"owner": "mililab",
"name": "dgsolver",
"stars": 142,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2506.15378 | https://paperswithcode.co/api/v1/papers/arxiv/2506.15378?include_resources=true | 200 | true | 86341 | Sampling 3D Molecular Conformers with Diffusion Transformers | https://arxiv.org/abs/2506.15378 | [
{
"url": "https://github.com/ml4molsim/dit_mc",
"owner": "ml4molsim",
"name": "dit_mc",
"stars": 19,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2505.15778 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15778?include_resources=true | 200 | true | 49324 | Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space | https://arxiv.org/abs/2505.15778 | [
{
"url": "https://github.com/eric-ai-lab/soft-thinking",
"owner": "eric-ai-lab",
"name": "Soft-Thinking",
"stars": 289,
"is_official": true,
"source": "links_json"
}
] | [
{
"url": "https://soft-thinking.github.io",
"is_official": true
},
{
"url": "https://soft-thinking.github.io/",
"is_official": true
}
] | [] | [] | [] |
2506.20904 | https://paperswithcode.co/api/v1/papers/arxiv/2506.20904?include_resources=true | 200 | true | 86648 | Optimal Single-Policy Sample Complexity and Transient Coverage for Average-Reward Offline RL | https://arxiv.org/abs/2506.20904 | [] | [] | [] | [] | [] |
2506.00329 | https://paperswithcode.co/api/v1/papers/arxiv/2506.00329?include_resources=true | 200 | true | 86913 | Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation | https://arxiv.org/abs/2506.00329 | [
{
"url": "https://github.com/star-laboratory/foresight",
"owner": "star-laboratory",
"name": "foresight",
"stars": 6,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2505.21717 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21717?include_resources=true | 200 | true | 87434 | Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modelling | https://arxiv.org/abs/2505.21717 | [] | [] | [] | [] | [] |
2509.16170 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16170?include_resources=true | 200 | true | 87278 | UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation | https://arxiv.org/abs/2509.16170 | [
{
"url": "https://github.com/xiaoqi-zhao-dlut/unimrseg",
"owner": "xiaoqi-zhao-dlut",
"name": "unimrseg",
"stars": 177,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2506.10351 | https://paperswithcode.co/api/v1/papers/arxiv/2506.10351?include_resources=true | 200 | true | 87394 | PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation | https://arxiv.org/abs/2506.10351 | [] | [] | [] | [] | [] |
2511.01183 | https://paperswithcode.co/api/v1/papers/arxiv/2511.01183?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.08028 | https://paperswithcode.co/api/v1/papers/arxiv/2511.08028?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.