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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
2412.06639 | https://paperswithcode.co/api/v1/papers/arxiv/2412.06639?include_resources=true | 200 | true | 85803 | Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers | https://arxiv.org/abs/2412.06639 | [] | [] | [] | [] | [] |
2505.23917 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23917?include_resources=true | 200 | true | 85858 | Representational Difference Explanations | https://arxiv.org/abs/2505.23917 | [] | [] | [] | [] | [] |
2510.18215 | https://paperswithcode.co/api/v1/papers/arxiv/2510.18215?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2410.18248 | https://paperswithcode.co/api/v1/papers/arxiv/2410.18248?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.23700 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23700?include_resources=true | 200 | true | 87159 | DiCoFlex: Model-Agnostic Diverse Counterfactuals with Flexible Control | https://arxiv.org/abs/2505.23700 | [] | [] | [] | [] | [] |
2502.16611 | https://paperswithcode.co/api/v1/papers/arxiv/2502.16611?include_resources=true | 200 | true | 87082 | Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments | https://arxiv.org/abs/2502.16611 | [] | [] | [] | [] | [] |
2505.11881 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11881?include_resources=true | 200 | true | 48909 | Revisiting Residual Connections: Orthogonal Updates for Stable and Efficient Deep Networks | https://arxiv.org/abs/2505.11881 | [
{
"url": "https://github.com/bootsoflagrangian/ortho-residual",
"owner": "BootsofLagrangian",
"name": "ortho-residual",
"stars": 3,
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"source": "ai_extraction"
}
] | [
{
"url": "https://bootsoflagrangian.github.io/ortho-residual.github.io/",
"is_official": true
}
] | [] | [] | [] |
2507.14312 | https://paperswithcode.co/api/v1/papers/arxiv/2507.14312?include_resources=true | 200 | true | 87261 | CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation | https://arxiv.org/abs/2507.14312 | [] | [] | [] | [] | [] |
2509.18013 | https://paperswithcode.co/api/v1/papers/arxiv/2509.18013?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.11483 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11483?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2602.17497 | https://paperswithcode.co/api/v1/papers/arxiv/2602.17497?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.22509 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22509?include_resources=true | 200 | true | 86280 | Accelerating Optimization via Differentiable Stopping Time | https://arxiv.org/abs/2505.22509 | [] | [] | [] | [] | [] |
2510.17036 | https://paperswithcode.co/api/v1/papers/arxiv/2510.17036?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.03733 | https://paperswithcode.co/api/v1/papers/arxiv/2505.03733?include_resources=true | 200 | true | 48460 | WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch | https://arxiv.org/abs/2505.03733 | [
{
"url": "https://github.com/mnluzimu/webgen-bench",
"owner": "mnluzimu",
"name": "WebGen-Bench",
"stars": 38,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2510.19158 | https://paperswithcode.co/api/v1/papers/arxiv/2510.19158?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2403.03881 | https://paperswithcode.co/api/v1/papers/arxiv/2403.03881?include_resources=true | 200 | true | 86338 | Unlocking Dataset Distillation with Diffusion Models | https://arxiv.org/abs/2403.03881 | [
{
"url": "https://github.com/brian-moser/prune_and_distill",
"owner": "brian-moser",
"name": "prune_and_distill",
"stars": 7,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2407.04884 | https://paperswithcode.co/api/v1/papers/arxiv/2407.04884?include_resources=true | 200 | true | 86319 | Convex Approximation of Two-Layer ReLU Networks for Hidden State Differential Privacy | https://arxiv.org/abs/2407.04884 | [] | [] | [] | [] | [] |
2509.05193 | https://paperswithcode.co/api/v1/papers/arxiv/2509.05193?include_resources=true | 200 | true | 87367 | Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning | https://arxiv.org/abs/2509.05193 | [] | [] | [] | [] | [] |
2510.01243 | https://paperswithcode.co/api/v1/papers/arxiv/2510.01243?include_resources=true | 200 | true | 86532 | Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing | https://arxiv.org/abs/2510.01243 | [] | [] | [] | [] | [] |
2502.01218 | https://paperswithcode.co/api/v1/papers/arxiv/2502.01218?include_resources=true | 200 | true | 86656 | Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents | https://arxiv.org/abs/2502.01218 | [] | [] | [] | [] | [] |
2506.14951 | https://paperswithcode.co/api/v1/papers/arxiv/2506.14951?include_resources=true | 200 | true | 86137 | Flat Channels to Infinity in Neural Loss Landscapes | https://arxiv.org/abs/2506.14951 | [] | [] | [] | [] | [] |
2511.01396 | https://paperswithcode.co/api/v1/papers/arxiv/2511.01396?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2402.14332 | https://paperswithcode.co/api/v1/papers/arxiv/2402.14332?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.05259 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05259?include_resources=true | 200 | true | 86408 | Learning long range dependencies through time reversal symmetry breaking | https://arxiv.org/abs/2506.05259 | [] | [] | [] | [] | [] |
2508.20294 | https://paperswithcode.co/api/v1/papers/arxiv/2508.20294?include_resources=true | 200 | true | 86614 | Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization | https://arxiv.org/abs/2508.20294 | [] | [] | [] | [] | [] |
2505.10994 | https://paperswithcode.co/api/v1/papers/arxiv/2505.10994?include_resources=true | 200 | true | 86912 | Space Group Equivariant Crystal Diffusion | https://arxiv.org/abs/2505.10994 | [
{
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"owner": "rees-c",
"name": "sgequidiff",
"stars": 22,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2510.20725 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20725?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.02421 | https://paperswithcode.co/api/v1/papers/arxiv/2502.02421?include_resources=true | 200 | true | 43651 | Activation-Informed Merging of Large Language Models | https://arxiv.org/abs/2502.02421 | [
{
"url": "https://github.com/ahnobari/activationinformedmerging",
"owner": "ahnobari",
"name": "ActivationInformedMerging",
"stars": 19,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2511.13880 | https://paperswithcode.co/api/v1/papers/arxiv/2511.13880?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.21056 | https://paperswithcode.co/api/v1/papers/arxiv/2509.21056?include_resources=true | 200 | true | 86009 | Stratify or Die: Rethinking Data Splits in Image Segmentation | https://arxiv.org/abs/2509.21056 | [] | [] | [] | [] | [] |
2406.13890 | https://paperswithcode.co/api/v1/papers/arxiv/2406.13890?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.04027 | https://paperswithcode.co/api/v1/papers/arxiv/2510.04027?include_resources=true | 200 | true | 86749 | Multi-Class Support Vector Machine with Differential Privacy | https://arxiv.org/abs/2510.04027 | [] | [] | [] | [] | [] |
2502.11420 | https://paperswithcode.co/api/v1/papers/arxiv/2502.11420?include_resources=true | 200 | true | 86842 | Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models | https://arxiv.org/abs/2502.11420 | [] | [] | [] | [] | [] |
2509.16606 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16606?include_resources=true | 200 | true | 86429 | Bayesian Ego-graph inference for Networked Multi-Agent Reinforcement Learning | https://arxiv.org/abs/2509.16606 | [] | [] | [] | [] | [] |
2510.20295 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20295?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2412.03556 | https://paperswithcode.co/api/v1/papers/arxiv/2412.03556?include_resources=true | 200 | true | 40991 | Best-of-N Jailbreaking | https://arxiv.org/abs/2412.03556v2 | [
{
"url": "https://github.com/jplhughes/bon-jailbreaking",
"owner": "jplhughes",
"name": "bon-jailbreaking",
"stars": 549,
"is_official": true,
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}
] | [
{
"url": "https://jplhughes.github.io/bon-jailbreaking",
"is_official": true
}
] | [] | [] | [] |
2512.00771 | https://paperswithcode.co/api/v1/papers/arxiv/2512.00771?include_resources=true | 200 | true | 61295 | EAG3R: Event-Augmented 3D Geometry Estimation for Dynamic and Extreme-Lighting Scenes | https://arxiv.org/abs/2512.00771 | [] | [] | [] | [] | [] |
2510.21144 | https://paperswithcode.co/api/v1/papers/arxiv/2510.21144?include_resources=true | 200 | true | 62694 | NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge | https://arxiv.org/abs/2510.21144 | [] | [] | [] | [] | [] |
2502.04799 | https://paperswithcode.co/api/v1/papers/arxiv/2502.04799?include_resources=true | 200 | true | 85823 | A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees | https://arxiv.org/abs/2502.04799 | [] | [] | [] | [] | [] |
2505.20359 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20359?include_resources=true | 200 | true | 49876 | Risk-aware Direct Preference Optimization under Nested Risk Measure | https://arxiv.org/abs/2505.20359v2 | [
{
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"owner": "zlj123-max",
"name": "Ra-DPO",
"stars": 0,
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] | [] | [] | [] | [] |
2505.21124 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21124?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.11487 | https://paperswithcode.co/api/v1/papers/arxiv/2506.11487?include_resources=true | 200 | true | 72021 | Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models | https://arxiv.org/abs/2506.11487 | [] | [] | [] | [] | [] |
2407.16139 | https://paperswithcode.co/api/v1/papers/arxiv/2407.16139?include_resources=true | 200 | true | 86799 | Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation | https://arxiv.org/abs/2407.16139 | [] | [] | [] | [] | [] |
2503.08367 | https://paperswithcode.co/api/v1/papers/arxiv/2503.08367?include_resources=true | 200 | true | 85715 | Embodied Crowd Counting | https://arxiv.org/abs/2503.08367 | [] | [] | [] | [] | [] |
2506.04528 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04528?include_resources=true | 200 | true | 87281 | Hierarchical Implicit Neural Emulators | https://arxiv.org/abs/2506.04528 | [] | [] | [] | [] | [] |
2505.06679 | https://paperswithcode.co/api/v1/papers/arxiv/2505.06679?include_resources=true | 200 | true | 73117 | T2V-OptJail: Discrete Prompt Optimization for Text-to-Video Jailbreak Attacks | https://arxiv.org/abs/2505.06679 | [] | [] | [] | [] | [] |
2510.07980 | https://paperswithcode.co/api/v1/papers/arxiv/2510.07980?include_resources=true | 200 | true | 87191 | Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training | https://arxiv.org/abs/2510.07980 | [] | [] | [] | [] | [] |
2505.18830 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18830?include_resources=true | 200 | true | 86346 | On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization | https://arxiv.org/abs/2505.18830 | [] | [] | [] | [] | [] |
2506.15940 | https://paperswithcode.co/api/v1/papers/arxiv/2506.15940?include_resources=true | 200 | true | 71875 | Polyline Path Masked Attention for Vision Transformer | https://arxiv.org/abs/2506.15940 | [
{
"url": "https://github.com/zhongchenzhao/ppma",
"owner": "zhongchenzhao",
"name": "PPMA",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2503.22154 | https://paperswithcode.co/api/v1/papers/arxiv/2503.22154?include_resources=true | 200 | true | 85874 | Dataset Distillation of 3D Point Clouds via Distribution Matching | https://arxiv.org/abs/2503.22154 | [] | [] | [] | [] | [] |
2502.06343 | https://paperswithcode.co/api/v1/papers/arxiv/2502.06343?include_resources=true | 200 | true | 86079 | Causal Lifting of Neural Representations: Zero-Shot Generalization for Causal Inferences | https://arxiv.org/abs/2502.06343 | [] | [] | [] | [] | [] |
2502.12018 | https://paperswithcode.co/api/v1/papers/arxiv/2502.12018?include_resources=true | 200 | true | 44397 | Atom of Thoughts for Markov LLM Test-Time Scaling | https://arxiv.org/abs/2502.12018v2 | [
{
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"owner": "qixucen",
"name": "atom",
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"url": "https://github.com/qixucen/atom}{https:",
"owner": "qixucen",
"name": "atom}{https:",
"stars": 0,
"is_official": true... | [] | [] | [] | [] |
2506.10943 | https://paperswithcode.co/api/v1/papers/arxiv/2506.10943?include_resources=true | 200 | true | 51041 | Self-Adapting Language Models | https://arxiv.org/abs/2506.10943 | [] | [
{
"url": "https://jyopari.github.io/posts/seal",
"is_official": true
}
] | [] | [] | [] |
2506.12903 | https://paperswithcode.co/api/v1/papers/arxiv/2506.12903?include_resources=true | 200 | true | 86102 | Variational Learning Finds Flatter Solutions at the Edge of Stability | https://arxiv.org/abs/2506.12903 | [] | [] | [] | [] | [] |
2506.20168 | https://paperswithcode.co/api/v1/papers/arxiv/2506.20168?include_resources=true | 200 | true | 51449 | Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models | https://arxiv.org/abs/2506.20168 | [] | [] | [] | [] | [] |
2506.16553 | https://paperswithcode.co/api/v1/papers/arxiv/2506.16553?include_resources=true | 200 | true | 86189 | One Sample is Enough to Make Conformal Prediction Robust | https://arxiv.org/abs/2506.16553 | [] | [] | [] | [] | [] |
2506.03195 | https://paperswithcode.co/api/v1/papers/arxiv/2506.03195?include_resources=true | 200 | true | 86118 | Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs | https://arxiv.org/abs/2506.03195 | [
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"name": "autosep",
"stars": 5,
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] | [] | [] | [] | [] |
2505.13004 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13004?include_resources=true | 200 | true | 72960 | EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of
LLM-Generated Code | https://arxiv.org/abs/2505.13004 | [] | [] | [] | [] | [] |
2506.23046 | https://paperswithcode.co/api/v1/papers/arxiv/2506.23046?include_resources=true | 200 | true | 71656 | SoMi-ToM: Evaluating Multi-Perspective Theory of Mind in Embodied Social
Interactions | https://arxiv.org/abs/2506.23046 | [] | [] | [] | [] | [] |
2509.16567 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16567?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.08710 | https://paperswithcode.co/api/v1/papers/arxiv/2506.08710?include_resources=true | 200 | true | 72104 | SceneSplat++: A Large Dataset and Comprehensive Benchmark for Language
Gaussian Splatting | https://arxiv.org/abs/2506.08710 | [
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"owner": "unique1i",
"name": "GaussianWorld_Benchmark",
"stars": 0,
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2510.20369 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20369?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2412.01605 | https://paperswithcode.co/api/v1/papers/arxiv/2412.01605?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.14907 | https://paperswithcode.co/api/v1/papers/arxiv/2506.14907?include_resources=true | 200 | true | 87145 | PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning | https://arxiv.org/abs/2506.14907 | [] | [] | [] | [] | [] |
2506.03144 | https://paperswithcode.co/api/v1/papers/arxiv/2506.03144?include_resources=true | 200 | true | 50498 | MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query | https://arxiv.org/abs/2506.03144 | [
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"owner": "weichow23",
"name": "merit",
"stars": 0,
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] | [
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"url": "https://merit-2025.github.io",
"is_official": true
}
] | [] | [] | [] |
2505.11852 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11852?include_resources=true | 200 | true | 73015 | MedSG-Bench: A Benchmark for Medical Image Sequences Grounding | https://arxiv.org/abs/2505.11852 | [] | [] | [] | [] | [] |
2506.07235 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07235?include_resources=true | 200 | true | 50754 | Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification | https://arxiv.org/abs/2506.07235 | [
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"owner": "Open-DataFlow",
"name": "vts-v",
"stars": 11,
"is_official": true,
"source": "links_json"
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] | [] | [] | [] | [] |
2503.16422 | https://paperswithcode.co/api/v1/papers/arxiv/2503.16422?include_resources=true | 200 | true | 46492 | 1000+ FPS 4D Gaussian Splatting for Dynamic Scene Rendering | https://arxiv.org/abs/2503.16422 | [] | [
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2412.06646 | https://paperswithcode.co/api/v1/papers/arxiv/2412.06646?include_resources=true | 200 | true | 85989 | The Narrow Gate: Localized Image-Text Communication in Vision-Language Models | https://arxiv.org/abs/2412.06646 | [] | [] | [] | [] | [] |
2505.21844 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21844?include_resources=true | 200 | true | 87245 | Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation | https://arxiv.org/abs/2505.21844 | [] | [] | [] | [] | [] |
2504.05288 | https://paperswithcode.co/api/v1/papers/arxiv/2504.05288?include_resources=true | 200 | true | 47379 | Seeking and Updating with Live Visual Knowledge | https://arxiv.org/abs/2504.05288v2 | [
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"url": "https://livevqa.github.io/",
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2510.10480 | https://paperswithcode.co/api/v1/papers/arxiv/2510.10480?include_resources=true | 200 | true | 87215 | Latent Retrieval Augmented Generation of Cross-Domain Protein Binders | https://arxiv.org/abs/2510.10480 | [] | [] | [] | [] | [] |
2510.15783 | https://paperswithcode.co/api/v1/papers/arxiv/2510.15783?include_resources=true | 200 | true | 86659 | ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection | https://arxiv.org/abs/2510.15783 | [
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2503.24123 | https://paperswithcode.co/api/v1/papers/arxiv/2503.24123?include_resources=true | 200 | true | 86789 | CTSketch: Compositional Tensor Sketching for Scalable Neurosymbolic Learning | https://arxiv.org/abs/2503.24123 | [] | [] | [] | [] | [] |
2510.01938 | https://paperswithcode.co/api/v1/papers/arxiv/2510.01938?include_resources=true | 200 | true | 85698 | StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold | https://arxiv.org/abs/2510.01938 | [] | [] | [] | [] | [] |
2502.08365 | https://paperswithcode.co/api/v1/papers/arxiv/2502.08365?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.22881 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22881?include_resources=true | 200 | true | 87465 | Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints | https://arxiv.org/abs/2505.22881 | [] | [] | [] | [] | [] |
2505.12345 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12345?include_resources=true | 200 | true | 48950 | UniEdit: A Unified Knowledge Editing Benchmark for Large Language Models | https://arxiv.org/abs/2505.12345 | [] | [] | [] | [] | [] |
2511.06142 | https://paperswithcode.co/api/v1/papers/arxiv/2511.06142?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2501.01957 | https://paperswithcode.co/api/v1/papers/arxiv/2501.01957?include_resources=true | 200 | true | 42463 | VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction | https://arxiv.org/abs/2501.01957v3 | [
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"owner": "VITA-MLLM",
"name": "VITA",
"stars": 2462,
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"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2505.11434 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11434?include_resources=true | 200 | true | 85844 | Controlling the Flow: Stability and Convergence for Stochastic Gradient Descent with Decaying Regularization | https://arxiv.org/abs/2505.11434 | [] | [] | [] | [] | [] |
2505.14161 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14161?include_resources=true | 200 | true | 85814 | Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation | https://arxiv.org/abs/2505.14161 | [] | [] | [] | [] | [] |
2505.13447 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13447?include_resources=true | 200 | true | 49072 | Mean Flows for One-step Generative Modeling | https://arxiv.org/abs/2505.13447 | [
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2505.24873 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24873?include_resources=true | 200 | true | 50279 | MiniMax-Remover: Taming Bad Noise Helps Video Object Removal | https://arxiv.org/abs/2505.24873 | [] | [
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2501.19224 | https://paperswithcode.co/api/v1/papers/arxiv/2501.19224?include_resources=true | 200 | true | 86112 | Fast exact recovery of noisy matrix from few entries: the infinity norm approach | https://arxiv.org/abs/2501.19224 | [] | [] | [] | [] | [] |
2506.09063 | https://paperswithcode.co/api/v1/papers/arxiv/2506.09063?include_resources=true | 200 | true | 87179 | Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery | https://arxiv.org/abs/2506.09063 | [] | [] | [] | [] | [] |
2504.10568 | https://paperswithcode.co/api/v1/papers/arxiv/2504.10568?include_resources=true | 200 | true | 47693 | AgMMU: A Comprehensive Agricultural Multimodal Understanding and Reasoning Benchmark | https://arxiv.org/abs/2504.10568 | [
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2506.08065 | https://paperswithcode.co/api/v1/papers/arxiv/2506.08065?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.00135 | https://paperswithcode.co/api/v1/papers/arxiv/2506.00135?include_resources=true | 200 | true | 85944 | Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning | https://arxiv.org/abs/2506.00135 | [] | [] | [] | [] | [] |
2411.06568 | https://paperswithcode.co/api/v1/papers/arxiv/2411.06568?include_resources=true | 200 | true | 87355 | Meta-Learning Objectives for Preference Optimization | https://arxiv.org/abs/2411.06568 | [] | [] | [] | [] | [] |
2510.16782 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16782?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.26324 | https://paperswithcode.co/api/v1/papers/arxiv/2510.26324?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.22014 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22014?include_resources=true | 200 | true | 85863 | Learning in Compact Spaces with Approximately Normalized Transformer | https://arxiv.org/abs/2505.22014 | [] | [] | [] | [] | [] |
2505.01481 | https://paperswithcode.co/api/v1/papers/arxiv/2505.01481?include_resources=true | 200 | true | 48341 | VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding | https://arxiv.org/abs/2505.01481v2 | [
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2505.23757 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23757?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.10683 | https://paperswithcode.co/api/v1/papers/arxiv/2511.10683?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2501.19342 | https://paperswithcode.co/api/v1/papers/arxiv/2501.19342?include_resources=true | 200 | true | 87335 | Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization | https://arxiv.org/abs/2501.19342 | [
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2502.14828 | https://paperswithcode.co/api/v1/papers/arxiv/2502.14828?include_resources=true | 200 | true | 87177 | Fundamental Limitations in Defending LLM Finetuning APIs | https://arxiv.org/abs/2502.14828 | [] | [] | [] | [] | [] |
2505.22913 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22913?include_resources=true | 200 | true | 50051 | Mustafar: Promoting Unstructured Sparsity for KV Cache Pruning in LLM Inference | https://arxiv.org/abs/2505.22913 | [
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2509.15087 | https://paperswithcode.co/api/v1/papers/arxiv/2509.15087?include_resources=true | 200 | true | 85711 | Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning | https://arxiv.org/abs/2509.15087 | [] | [] | [] | [] | [] |
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