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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
2506.10980 | https://paperswithcode.co/api/v1/papers/arxiv/2506.10980?include_resources=true | 200 | true | 86366 | InstaInpaint: Instant 3D-Scene Inpainting with Masked Large Reconstruction Model | https://arxiv.org/abs/2506.10980 | [] | [
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"is_official": true
}
] | [] | [] | [] |
2502.10297 | https://paperswithcode.co/api/v1/papers/arxiv/2502.10297?include_resources=true | 200 | true | 44207 | DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products | https://arxiv.org/abs/2502.10297v6 | [
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{
"url": "https://github.com/automl/deltaproduct",
"owner": "automl",
"name": "DeltaProd... | [] | [] | [] | [] |
2505.22650 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22650?include_resources=true | 200 | true | 87078 | On Learning Verifiers for Chain-of-Thought Reasoning | https://arxiv.org/abs/2505.22650 | [] | [] | [] | [] | [] |
2506.04598 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04598?include_resources=true | 200 | true | 50592 | Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets | https://arxiv.org/abs/2506.04598 | [
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{
"url": "https://github.com/laion-ai/scaling-laws-openclip",
"owner": "laion-ai",
"name... | [
{
"url": "https://github.com/LAION-AI/scaling-laws-for-comparison",
"is_official": true
}
] | [] | [] | [] |
2512.03528 | https://paperswithcode.co/api/v1/papers/arxiv/2512.03528?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.22263 | https://paperswithcode.co/api/v1/papers/arxiv/2503.22263?include_resources=true | 200 | true | 73832 | FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning | https://arxiv.org/abs/2503.22263 | [] | [] | [] | [] | [] |
2506.01722 | https://paperswithcode.co/api/v1/papers/arxiv/2506.01722?include_resources=true | 200 | true | 86483 | When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses | https://arxiv.org/abs/2506.01722 | [] | [] | [] | [] | [] |
2505.14905 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14905?include_resources=true | 200 | true | 49240 | Concept Incongruence: An Exploration of Time and Death in Role Playing | https://arxiv.org/abs/2505.14905 | [
{
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"owner": "chicagohai",
"name": "concept-incongruence",
"stars": 0,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2411.06890 | https://paperswithcode.co/api/v1/papers/arxiv/2411.06890?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2507.01649 | https://paperswithcode.co/api/v1/papers/arxiv/2507.01649?include_resources=true | 200 | true | 87431 | GradMetaNet: An Equivariant Architecture for Learning on Gradients | https://arxiv.org/abs/2507.01649 | [] | [] | [] | [] | [] |
2505.24183 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24183?include_resources=true | 200 | true | 50205 | CodeV-R1: Reasoning-Enhanced Verilog Generation | https://arxiv.org/abs/2505.24183v2 | [
{
"url": "https://github.com/iprc-dip/CodeV",
"owner": "iprc-dip",
"name": "CodeV",
"stars": 0,
"is_official": true,
"source": "hf_api"
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] | [
{
"url": "https://iprc-dip.github.io/CodeV-R1",
"is_official": true
}
] | [] | [] | [] |
2511.08938 | https://paperswithcode.co/api/v1/papers/arxiv/2511.08938?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.01215 | https://paperswithcode.co/api/v1/papers/arxiv/2503.01215?include_resources=true | 200 | true | 87060 | Architectural and Inferential Inductive Biases for Exchangeable Sequence Modeling | https://arxiv.org/abs/2503.01215 | [] | [] | [] | [] | [] |
2505.24680 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24680?include_resources=true | 200 | true | 87472 | A Simple Linear Patch Revives Layer-Pruned Large Language Models | https://arxiv.org/abs/2505.24680 | [] | [] | [] | [] | [] |
2501.12959 | https://paperswithcode.co/api/v1/papers/arxiv/2501.12959?include_resources=true | 200 | true | 43111 | Efficient Prompt Compression with Evaluator Heads for Long-Context Transformer Inference | https://arxiv.org/abs/2501.12959 | [] | [] | [] | [] | [] |
2509.20383 | https://paperswithcode.co/api/v1/papers/arxiv/2509.20383?include_resources=true | 200 | true | 86662 | MARS: A Malignity-Aware Backdoor Defense in Federated Learning | https://arxiv.org/abs/2509.20383 | [] | [] | [] | [] | [] |
2412.16112 | https://paperswithcode.co/api/v1/papers/arxiv/2412.16112?include_resources=true | 200 | true | 41993 | CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up | https://arxiv.org/abs/2412.16112 | [
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{
"url": "https://github.com/huage001/linfusion",
"owner": "Huage001",
"name": "LinFusion",
"stars": 311,
"is_official": fa... | [] | [] | [] | [] |
2511.21063 | https://paperswithcode.co/api/v1/papers/arxiv/2511.21063?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.18917 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18917?include_resources=true | 200 | true | 49664 | Behavior Injection: Preparing Language Models for Reinforcement Learning | https://arxiv.org/abs/2505.18917 | [
{
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] | [] | [] | [] | [] |
2502.14709 | https://paperswithcode.co/api/v1/papers/arxiv/2502.14709?include_resources=true | 200 | true | 44676 | Data-Efficient Pretraining with Group-Level Data Influence Modeling | https://arxiv.org/abs/2502.14709 | [
{
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"owner": "facebookresearch",
"name": "Group-MATES",
"stars": 8,
"is_official": true,
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}
] | [] | [] | [] | [] |
2503.22976 | https://paperswithcode.co/api/v1/papers/arxiv/2503.22976?include_resources=true | 200 | true | 46969 | From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D | https://arxiv.org/abs/2503.22976v3 | [
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"owner": "fudan-zvg",
"name": "spar",
"stars": 60,
"is_official": false,
"source": "links_json"
}
] | [
{
"url": "https://fudan-zvg.github.io/spar",
"is_official": true
}
] | [] | [] | [] |
2411.19623 | https://paperswithcode.co/api/v1/papers/arxiv/2411.19623?include_resources=true | 200 | true | 86444 | FairDD: Fair Dataset Distillation | https://arxiv.org/abs/2411.19623 | [
{
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"owner": "zqhang",
"name": "fairdd",
"stars": 5,
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}
] | [] | [] | [] | [] |
2505.24149 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24149?include_resources=true | 200 | true | 86239 | RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget | https://arxiv.org/abs/2505.24149 | [] | [] | [] | [] | [] |
2506.07918 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07918?include_resources=true | 200 | true | 50793 | CausalPFN: Amortized Causal Effect Estimation via In-Context Learning | https://arxiv.org/abs/2506.07918 | [
{
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"owner": "vdblm",
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"stars": 83,
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}
] | [] | [] | [] | [] |
2509.16423 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16423?include_resources=true | 200 | true | 68107 | 3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction | https://arxiv.org/abs/2509.16423 | [] | [] | [] | [] | [] |
2601.02386 | https://paperswithcode.co/api/v1/papers/arxiv/2601.02386?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.19941 | https://paperswithcode.co/api/v1/papers/arxiv/2510.19941?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.17599 | https://paperswithcode.co/api/v1/papers/arxiv/2505.17599?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.20219 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20219?include_resources=true | 200 | true | 85908 | New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results | https://arxiv.org/abs/2505.20219 | [] | [] | [] | [] | [] |
2505.18781 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18781?include_resources=true | 200 | true | 72759 | Geometry Aware Operator Transformer as an Efficient and Accurate Neural
Surrogate for PDEs on Arbitrary Domains | https://arxiv.org/abs/2505.18781 | [
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2511.01755 | https://paperswithcode.co/api/v1/papers/arxiv/2511.01755?include_resources=true | 200 | true | 65466 | 3EED: Ground Everything Everywhere in 3D | https://arxiv.org/abs/2511.01755 | [] | [] | [] | [] | [] |
2505.21258 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21258?include_resources=true | 200 | true | 86849 | Plenodium: UnderWater 3D Scene Reconstruction with Plenoptic Medium Representation | https://arxiv.org/abs/2505.21258 | [] | [
{
"url": "https://plenodium.github.io/",
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] | [] | [] | [] |
2507.05077 | https://paperswithcode.co/api/v1/papers/arxiv/2507.05077?include_resources=true | 200 | true | 86671 | Sequential Attention-based Sampling for Histopathological Analysis | https://arxiv.org/abs/2507.05077 | [] | [] | [] | [] | [] |
2512.00352 | https://paperswithcode.co/api/v1/papers/arxiv/2512.00352?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2508.12491 | https://paperswithcode.co/api/v1/papers/arxiv/2508.12491?include_resources=true | 200 | true | 69559 | Cost-Aware Contrastive Routing for LLMs | https://arxiv.org/abs/2508.12491 | [] | [] | [] | [] | [] |
2504.19044 | https://paperswithcode.co/api/v1/papers/arxiv/2504.19044?include_resources=true | 200 | true | 73304 | Calibrating Translation Decoding with Quality Estimation on LLMs | https://arxiv.org/abs/2504.19044 | [
{
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"stars": 0,
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}
] | [] | [] | [] | [] |
2511.02329 | https://paperswithcode.co/api/v1/papers/arxiv/2511.02329?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2504.03206 | https://paperswithcode.co/api/v1/papers/arxiv/2504.03206?include_resources=true | 200 | true | 47278 | Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward | https://arxiv.org/abs/2504.03206 | [] | [] | [] | [] | [] |
2510.10477 | https://paperswithcode.co/api/v1/papers/arxiv/2510.10477?include_resources=true | 200 | true | 86423 | Anchor-based Maximum Discrepancy for Relative Similarity Testing | https://arxiv.org/abs/2510.10477 | [
{
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] | [] | [] | [] | [] |
2506.00635 | https://paperswithcode.co/api/v1/papers/arxiv/2506.00635?include_resources=true | 200 | true | 87266 | Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting | https://arxiv.org/abs/2506.00635 | [] | [] | [] | [] | [] |
2505.11277 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11277?include_resources=true | 200 | true | 48851 | Search and Refine During Think: Autonomous Retrieval-Augmented Reasoning of LLMs | https://arxiv.org/abs/2505.11277 | [
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] | [
{
"url": "https://syr-cn.github.io/AutoRefine/",
"is_official": true
}
] | [] | [] | [] |
2502.02132 | https://paperswithcode.co/api/v1/papers/arxiv/2502.02132?include_resources=true | 200 | true | 86771 | How Memory in Optimization Algorithms Implicitly Modifies the Loss | https://arxiv.org/abs/2502.02132 | [] | [] | [] | [] | [] |
2410.18083 | https://paperswithcode.co/api/v1/papers/arxiv/2410.18083?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.18445 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18445?include_resources=true | 200 | true | 49610 | OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data | https://arxiv.org/abs/2505.18445 | [
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] | [
{
"url": "https://huggingface.co/spaces/yiren98/OmniConsistency",
"is_official": true
}
] | [] | [] | [] |
2510.17457 | https://paperswithcode.co/api/v1/papers/arxiv/2510.17457?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2507.00833 | https://paperswithcode.co/api/v1/papers/arxiv/2507.00833?include_resources=true | 200 | true | 51610 | HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning | https://arxiv.org/abs/2507.00833 | [
{
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"owner": "TeleHuman",
"name": "HumanoidGen",
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] | [] | [] | [] |
2502.09767 | https://paperswithcode.co/api/v1/papers/arxiv/2502.09767?include_resources=true | 200 | true | 86920 | Non-Markovian Discrete Diffusion with Causal Language Models | https://arxiv.org/abs/2502.09767 | [] | [] | [] | [] | [] |
2505.13171 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13171?include_resources=true | 200 | true | 87183 | Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks | https://arxiv.org/abs/2505.13171 | [] | [] | [] | [] | [] |
2509.16429 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16429?include_resources=true | 200 | true | 86132 | TractoTransformer: Diffusion MRI Streamline Tractography using CNN and Transformer Networks | https://arxiv.org/abs/2509.16429 | [] | [] | [] | [] | [] |
2509.22807 | https://paperswithcode.co/api/v1/papers/arxiv/2509.22807?include_resources=true | 200 | true | 86937 | MTRec: Learning to Align with User Preferences via Mental Reward Models | https://arxiv.org/abs/2509.22807 | [] | [] | [] | [] | [] |
2506.09050 | https://paperswithcode.co/api/v1/papers/arxiv/2506.09050?include_resources=true | 200 | true | 50907 | ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering | https://arxiv.org/abs/2506.09050 | [
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] | [] | [] | [] | [] |
2502.01618 | https://paperswithcode.co/api/v1/papers/arxiv/2502.01618?include_resources=true | 200 | true | 43585 | A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods | https://arxiv.org/abs/2502.01618v2 | [
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2604.05926 | https://paperswithcode.co/api/v1/papers/arxiv/2604.05926?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.19307 | https://paperswithcode.co/api/v1/papers/arxiv/2510.19307?include_resources=true | 200 | true | 53750 | Unified Reinforcement and Imitation Learning for Vision-Language Models | https://arxiv.org/abs/2510.19307 | [] | [
{
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2510.20218 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20218?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.19187 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19187?include_resources=true | 200 | true | 49699 | LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling | https://arxiv.org/abs/2505.19187 | [
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"name": "LIMOPro",
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] | [] | [] | [] | [] |
2502.09080 | https://paperswithcode.co/api/v1/papers/arxiv/2502.09080?include_resources=true | 200 | true | 86440 | BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization | https://arxiv.org/abs/2502.09080 | [] | [] | [] | [] | [] |
2505.12667 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12667?include_resources=true | 200 | true | 48982 | Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking | https://arxiv.org/abs/2505.12667 | [
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2510.19687 | https://paperswithcode.co/api/v1/papers/arxiv/2510.19687?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.23871 | https://paperswithcode.co/api/v1/papers/arxiv/2509.23871?include_resources=true | 200 | true | 85781 | Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack | https://arxiv.org/abs/2509.23871 | [
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2505.16707 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16707?include_resources=true | 200 | true | 49435 | KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Models | https://arxiv.org/abs/2505.16707 | [
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2505.14251 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14251?include_resources=true | 200 | true | 86237 | A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input | https://arxiv.org/abs/2505.14251 | [] | [] | [] | [] | [] |
2507.14793 | https://paperswithcode.co/api/v1/papers/arxiv/2507.14793?include_resources=true | 200 | true | 51989 | Flow Equivariant Recurrent Neural Networks | https://arxiv.org/abs/2507.14793 | [] | [] | [] | [] | [] |
2604.04496 | https://paperswithcode.co/api/v1/papers/arxiv/2604.04496?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.19144 | https://paperswithcode.co/api/v1/papers/arxiv/2506.19144?include_resources=true | 200 | true | 87241 | Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality | https://arxiv.org/abs/2506.19144 | [] | [] | [] | [] | [] |
2503.08250 | https://paperswithcode.co/api/v1/papers/arxiv/2503.08250?include_resources=true | 200 | true | 45857 | Aligning Text to Image in Diffusion Models is Easier Than You Think | https://arxiv.org/abs/2503.08250v2 | [
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2510.10790 | https://paperswithcode.co/api/v1/papers/arxiv/2510.10790?include_resources=true | 200 | true | 87038 | BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics | https://arxiv.org/abs/2510.10790 | [] | [] | [] | [] | [] |
2512.21586 | https://paperswithcode.co/api/v1/papers/arxiv/2512.21586?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.14334 | https://paperswithcode.co/api/v1/papers/arxiv/2502.14334?include_resources=true | 200 | true | 86051 | Purest Quantum State Identification | https://arxiv.org/abs/2502.14334 | [] | [] | [] | [] | [] |
2510.20472 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20472?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2110.03155 | https://paperswithcode.co/api/v1/papers/arxiv/2110.03155?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2504.13128 | https://paperswithcode.co/api/v1/papers/arxiv/2504.13128?include_resources=true | 200 | true | 47861 | FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents | https://arxiv.org/abs/2504.13128 | [
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2509.23041 | https://paperswithcode.co/api/v1/papers/arxiv/2509.23041?include_resources=true | 200 | true | 86472 | Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data | https://arxiv.org/abs/2509.23041 | [] | [] | [] | [] | [] |
2504.06312 | https://paperswithcode.co/api/v1/papers/arxiv/2504.06312?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2507.06450 | https://paperswithcode.co/api/v1/papers/arxiv/2507.06450?include_resources=true | 200 | true | 87131 | A Semantic Parsing Framework for End-to-End Time Normalization | https://arxiv.org/abs/2507.06450 | [] | [] | [] | [] | [] |
2411.12448 | https://paperswithcode.co/api/v1/papers/arxiv/2411.12448?include_resources=true | 200 | true | 86034 | Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need | https://arxiv.org/abs/2411.12448 | [] | [] | [] | [] | [] |
2511.10366 | https://paperswithcode.co/api/v1/papers/arxiv/2511.10366?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2602.02341 | https://paperswithcode.co/api/v1/papers/arxiv/2602.02341?include_resources=true | 200 | true | 55805 | LongVPO: From Anchored Cues to Self-Reasoning for Long-Form Video Preference Optimization | https://arxiv.org/abs/2602.02341 | [
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2505.12207 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12207?include_resources=true | 200 | true | 48932 | Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind | https://arxiv.org/abs/2505.12207 | [
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2506.11700 | https://paperswithcode.co/api/v1/papers/arxiv/2506.11700?include_resources=true | 200 | true | 87186 | Geometry-Aware Edge Pooling for Graph Neural Networks | https://arxiv.org/abs/2506.11700 | [] | [] | [] | [] | [] |
2506.11088 | https://paperswithcode.co/api/v1/papers/arxiv/2506.11088?include_resources=true | 200 | true | 86049 | Two Birds with One Stone: Improving Factuality and Faithfulness of LLMs via Dynamic Interactive Subspace Editing | https://arxiv.org/abs/2506.11088 | [] | [] | [] | [] | [] |
2508.07434 | https://paperswithcode.co/api/v1/papers/arxiv/2508.07434?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.22224 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22224?include_resources=true | 200 | true | 86940 | Solver-Free Decision-Focused Learning for Linear Optimization Problems | https://arxiv.org/abs/2505.22224 | [] | [] | [] | [] | [] |
2506.09534 | https://paperswithcode.co/api/v1/papers/arxiv/2506.09534?include_resources=true | 200 | true | 87101 | Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS | https://arxiv.org/abs/2506.09534 | [
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2510.09485 | https://paperswithcode.co/api/v1/papers/arxiv/2510.09485?include_resources=true | 200 | true | 86494 | Locally Optimal Private Sampling: Beyond the Global Minimax | https://arxiv.org/abs/2510.09485 | [] | [] | [] | [] | [] |
2505.12844 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12844?include_resources=true | 200 | true | 49002 | AGI-Elo: How Far Are We From Mastering A Task? | https://arxiv.org/abs/2505.12844v2 | [
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2510.27257 | https://paperswithcode.co/api/v1/papers/arxiv/2510.27257?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.20380 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20380?include_resources=true | 200 | true | 86388 | GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining | https://arxiv.org/abs/2505.20380 | [] | [] | [] | [] | [] |
2510.18650 | https://paperswithcode.co/api/v1/papers/arxiv/2510.18650?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.11693 | https://paperswithcode.co/api/v1/papers/arxiv/2510.11693?include_resources=true | 200 | true | 53505 | Scaling Language-Centric Omnimodal Representation Learning | https://arxiv.org/abs/2510.11693 | [
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2511.23428 | https://paperswithcode.co/api/v1/papers/arxiv/2511.23428?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2501.18962 | https://paperswithcode.co/api/v1/papers/arxiv/2501.18962?include_resources=true | 200 | true | 86527 | Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping | https://arxiv.org/abs/2501.18962 | [] | [] | [] | [] | [] |
2505.24161 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24161?include_resources=true | 200 | true | 86100 | Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control | https://arxiv.org/abs/2505.24161 | [] | [] | [] | [] | [] |
2508.08211 | https://paperswithcode.co/api/v1/papers/arxiv/2508.08211?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.03318 | https://paperswithcode.co/api/v1/papers/arxiv/2505.03318?include_resources=true | 200 | true | 48439 | Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning | https://arxiv.org/abs/2505.03318 | [
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2505.14579 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14579?include_resources=true | 200 | true | 87242 | Inference with correlated priors using sisters cells | https://arxiv.org/abs/2505.14579 | [] | [] | [] | [] | [] |
2502.07154 | https://paperswithcode.co/api/v1/papers/arxiv/2502.07154?include_resources=true | 200 | true | 43998 | Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning | https://arxiv.org/abs/2502.07154 | [
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2505.21375 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21375?include_resources=true | 200 | true | 72637 | GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to
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2510.04057 | https://paperswithcode.co/api/v1/papers/arxiv/2510.04057?include_resources=true | 200 | true | 66988 | MetaFind: Scene-Aware 3D Asset Retrieval for Coherent Metaverse Scene
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2502.02493 | https://paperswithcode.co/api/v1/papers/arxiv/2502.02493?include_resources=true | 200 | true | 43660 | EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization | https://arxiv.org/abs/2502.02493 | [] | [] | [] | [] | [] |
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