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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
2505.15195 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15195?include_resources=true | 200 | true | 87322 | Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing | https://arxiv.org/abs/2505.15195 | [] | [] | [] | [] | [] |
2501.19164 | https://paperswithcode.co/api/v1/papers/arxiv/2501.19164?include_resources=true | 200 | true | 43463 | Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs | https://arxiv.org/abs/2501.19164 | [] | [
{
"url": "https://kejiazhang-robust.github.io/poison-cure-lvm",
"is_official": true
}
] | [] | [] | [] |
2505.19986 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19986?include_resources=true | 200 | true | 85721 | Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach | https://arxiv.org/abs/2505.19986 | [] | [] | [] | [] | [] |
2507.03683 | https://paperswithcode.co/api/v1/papers/arxiv/2507.03683?include_resources=true | 200 | true | 51682 | On the rankability of visual embeddings | https://arxiv.org/abs/2507.03683 | [
{
"url": "https://github.com/aktsonthalia/rankable-vision-embeddings",
"owner": "aktsonthalia",
"name": "rankable-vision-embeddings",
"stars": 20,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2410.02675 | https://paperswithcode.co/api/v1/papers/arxiv/2410.02675?include_resources=true | 200 | true | 37784 | FAN: Fourier Analysis Networks | https://arxiv.org/abs/2410.02675v3 | [
{
"url": "https://github.com/yihongdong/fan",
"owner": "yihongdong",
"name": "fan",
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"is_official": true,
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},
{
"url": "https://github.com/jlamprou/Fourier-Analysis-Networks-FAN",
"owner": "jlamprou",
"name": "Fourier-Analysis-Networks-FAN",... | [] | [] | [] | [] |
2503.16527 | https://paperswithcode.co/api/v1/papers/arxiv/2503.16527?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.17589 | https://paperswithcode.co/api/v1/papers/arxiv/2509.17589?include_resources=true | 200 | true | 68022 | Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images
via Reinforced Multimodal Language Models | https://arxiv.org/abs/2509.17589 | [] | [] | [] | [] | [] |
2511.23239 | https://paperswithcode.co/api/v1/papers/arxiv/2511.23239?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.13112 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13112?include_resources=true | 200 | true | 86138 | Attention-based clustering | https://arxiv.org/abs/2505.13112 | [] | [] | [] | [] | [] |
2506.04723 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04723?include_resources=true | 200 | true | 50606 | Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning | https://arxiv.org/abs/2506.04723 | [
{
"url": "https://github.com/sparkle-reasoning/sparkle",
"owner": "sparkle-reasoning",
"name": "sparkle",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://sparkle-reasoning.github.io/",
"is_official": true
}
] | [] | [] | [] |
2510.04714 | https://paperswithcode.co/api/v1/papers/arxiv/2510.04714?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2501.06246 | https://paperswithcode.co/api/v1/papers/arxiv/2501.06246?include_resources=true | 200 | true | 87054 | A Partition Cover Approach to Tokenization | https://arxiv.org/abs/2501.06246 | [] | [] | [] | [] | [] |
2506.12704 | https://paperswithcode.co/api/v1/papers/arxiv/2506.12704?include_resources=true | 200 | true | 71978 | Flexible Realignment of Language Models | https://arxiv.org/abs/2506.12704 | [] | [] | [] | [] | [] |
2511.19390 | https://paperswithcode.co/api/v1/papers/arxiv/2511.19390?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.20461 | https://paperswithcode.co/api/v1/papers/arxiv/2509.20461?include_resources=true | 200 | true | 86549 | Document Summarization with Conformal Importance Guarantees | https://arxiv.org/abs/2509.20461 | [
{
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"owner": "layer6ai-labs",
"name": "conformal-importance-summarization",
"stars": 5,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2510.20342 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20342?include_resources=true | 200 | true | 65986 | Teaching Language Models to Reason with Tools | https://arxiv.org/abs/2510.20342 | [] | [] | [] | [] | [] |
2505.02867 | https://paperswithcode.co/api/v1/papers/arxiv/2505.02867?include_resources=true | 200 | true | 48421 | RESAnything: Attribute Prompting for Arbitrary Referring Segmentation | https://arxiv.org/abs/2505.02867 | [] | [] | [] | [] | [] |
2502.01074 | https://paperswithcode.co/api/v1/papers/arxiv/2502.01074?include_resources=true | 200 | true | 43544 | Omni-Mol: Exploring Universal Convergent Space for Omni-Molecular Tasks | https://arxiv.org/abs/2502.01074v2 | [] | [] | [] | [] | [] |
2510.06046 | https://paperswithcode.co/api/v1/papers/arxiv/2510.06046?include_resources=true | 200 | true | 86347 | GLVD: Guided Learned Vertex Descent | https://arxiv.org/abs/2510.06046 | [] | [] | [] | [] | [] |
2502.13124 | https://paperswithcode.co/api/v1/papers/arxiv/2502.13124?include_resources=true | 200 | true | 44515 | NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions | https://arxiv.org/abs/2502.13124 | [] | [] | [] | [] | [] |
2505.23599 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23599?include_resources=true | 200 | true | 86134 | On Transferring Transferability: Towards a Theory for Size Generalization | https://arxiv.org/abs/2505.23599 | [] | [] | [] | [] | [] |
2506.10036 | https://paperswithcode.co/api/v1/papers/arxiv/2506.10036?include_resources=true | 200 | true | 50976 | Token Perturbation Guidance for Diffusion Models | https://arxiv.org/abs/2506.10036 | [
{
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"owner": "TaatiTeam",
"name": "Token-Perturbation-Guidance",
"stars": 16,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2511.00252 | https://paperswithcode.co/api/v1/papers/arxiv/2511.00252?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2507.02974 | https://paperswithcode.co/api/v1/papers/arxiv/2507.02974?include_resources=true | 200 | true | 86639 | InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy | https://arxiv.org/abs/2507.02974 | [] | [] | [] | [] | [] |
2505.20641 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20641?include_resources=true | 200 | true | 49890 | See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy Prediction | https://arxiv.org/abs/2505.20641v2 | [
{
"url": "https://github.com/yanzq95/liar",
"owner": "yanzq95",
"name": "liar",
"stars": 22,
"is_official": true,
"source": "links_json"
},
{
"url": "https://github.com/yanzq95/liar}{here",
"owner": "yanzq95",
"name": "LIAR}{here",
"stars": 0,
"is_official": true,
... | [] | [] | [] | [] |
2505.20772 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20772?include_resources=true | 200 | true | 86499 | MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning | https://arxiv.org/abs/2505.20772 | [] | [] | [] | [] | [] |
2504.05812 | https://paperswithcode.co/api/v1/papers/arxiv/2504.05812?include_resources=true | 200 | true | 47412 | Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization | https://arxiv.org/abs/2504.05812v3 | [
{
"url": "https://github.com/qingyangzhang/empo",
"owner": "QingyangZhang",
"name": "EMPO",
"stars": 90,
"is_official": true,
"source": "links_json"
}
] | [
{
"url": "https://bluewhale.yataobian.com/blog/2025/EMPO-Fully-Unsupervised-LLM-Reasoning-Incentivization/",
"is_official": true
}
] | [] | [] | [] |
2506.01946 | https://paperswithcode.co/api/v1/papers/arxiv/2506.01946?include_resources=true | 200 | true | 72370 | MLLMs Need 3D-Aware Representation Supervision for Scene Understanding | https://arxiv.org/abs/2506.01946 | [] | [
{
"url": "https://visual-ai.github.io/3drs/",
"is_official": true
}
] | [] | [] | [] |
2505.24623 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24623?include_resources=true | 200 | true | 86760 | Hyperbolic Dataset Distillation | https://arxiv.org/abs/2505.24623 | [
{
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"name": "hdd",
"stars": 12,
"is_official": true,
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}
] | [] | [] | [] | [] |
2505.22657 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22657?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2402.06674 | https://paperswithcode.co/api/v1/papers/arxiv/2402.06674?include_resources=true | 200 | true | 86463 | Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning | https://arxiv.org/abs/2402.06674 | [] | [] | [] | [] | [] |
2509.15472 | https://paperswithcode.co/api/v1/papers/arxiv/2509.15472?include_resources=true | 200 | true | 86567 | Efficient Multimodal Dataset Distillation via Generative Models | https://arxiv.org/abs/2509.15472 | [] | [] | [] | [] | [] |
2509.23713 | https://paperswithcode.co/api/v1/papers/arxiv/2509.23713?include_resources=true | 200 | true | 86971 | Text-to-Code Generation for Modular Building Layouts in Building Information Modeling | https://arxiv.org/abs/2509.23713 | [
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}
] | [] | [] | [] | [] |
2510.25582 | https://paperswithcode.co/api/v1/papers/arxiv/2510.25582?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.06970 | https://paperswithcode.co/api/v1/papers/arxiv/2506.06970?include_resources=true | 200 | true | 87222 | Guiding Cross-Modal Representations with MLLM Priors via Preference Alignment | https://arxiv.org/abs/2506.06970 | [] | [] | [] | [] | [] |
2505.23495 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23495?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.01034 | https://paperswithcode.co/api/v1/papers/arxiv/2506.01034?include_resources=true | 200 | true | 72439 | Less is More: Local Intrinsic Dimensions of Contextual Language Models | https://arxiv.org/abs/2506.01034 | [
{
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"owner": "aidos-lab",
"name": "Topo_LLM_public",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2508.21800 | https://paperswithcode.co/api/v1/papers/arxiv/2508.21800?include_resources=true | 200 | true | 86967 | Tree-guided Diffusion Planner | https://arxiv.org/abs/2508.21800 | [] | [] | [] | [] | [] |
2503.16199 | https://paperswithcode.co/api/v1/papers/arxiv/2503.16199?include_resources=true | 200 | true | 86045 | Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts | https://arxiv.org/abs/2503.16199 | [] | [] | [] | [] | [] |
2509.18001 | https://paperswithcode.co/api/v1/papers/arxiv/2509.18001?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.06991 | https://paperswithcode.co/api/v1/papers/arxiv/2506.06991?include_resources=true | 200 | true | 87061 | Evaluating LLM-corrupted Crowdsourcing Data Without Ground Truth | https://arxiv.org/abs/2506.06991 | [] | [] | [] | [] | [] |
2505.15424 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15424?include_resources=true | 200 | true | 85818 | Gated Integration of Low-Rank Adaptation for Continual Learning of Language Models | https://arxiv.org/abs/2505.15424 | [] | [] | [] | [] | [] |
2509.01907 | https://paperswithcode.co/api/v1/papers/arxiv/2509.01907?include_resources=true | 200 | true | 68848 | RSCC: A Large-Scale Remote Sensing Change Caption Dataset for Disaster
Events | https://arxiv.org/abs/2509.01907 | [
{
"url": "https://github.com/Bili-Sakura/RSCC",
"owner": "Bili-Sakura",
"name": "RSCC",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2509.07530 | https://paperswithcode.co/api/v1/papers/arxiv/2509.07530?include_resources=true | 200 | true | 68578 | Universal Few-Shot Spatial Control for Diffusion Models | https://arxiv.org/abs/2509.07530 | [
{
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"owner": "kietngt00",
"name": "UFC",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2509.12227 | https://paperswithcode.co/api/v1/papers/arxiv/2509.12227?include_resources=true | 200 | true | 86508 | Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction | https://arxiv.org/abs/2509.12227 | [] | [] | [] | [] | [] |
2512.06854 | https://paperswithcode.co/api/v1/papers/arxiv/2512.06854?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.07862 | https://paperswithcode.co/api/v1/papers/arxiv/2502.07862?include_resources=true | 200 | true | 87098 | ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources | https://arxiv.org/abs/2502.07862 | [] | [] | [] | [] | [] |
2511.08991 | https://paperswithcode.co/api/v1/papers/arxiv/2511.08991?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.07334 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07334?include_resources=true | 200 | true | 72152 | Graph-KV: Breaking Sequence via Injecting Structural Biases into Large
Language Models | https://arxiv.org/abs/2506.07334 | [] | [] | [] | [] | [] |
2510.15455 | https://paperswithcode.co/api/v1/papers/arxiv/2510.15455?include_resources=true | 200 | true | 86003 | CORE: Reducing UI Exposure in Mobile Agents via Collaboration Between Cloud and Local LLMs | https://arxiv.org/abs/2510.15455 | [
{
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"owner": "entropy-fighter",
"name": "core",
"stars": 9,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2509.15594 | https://paperswithcode.co/api/v1/papers/arxiv/2509.15594?include_resources=true | 200 | true | 86582 | Beyond the Average: Distributional Causal Inference under Imperfect Compliance | https://arxiv.org/abs/2509.15594 | [] | [] | [] | [] | [] |
2505.24205 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24205?include_resources=true | 200 | true | 86580 | On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks | https://arxiv.org/abs/2505.24205 | [] | [] | [] | [] | [] |
2511.20698 | https://paperswithcode.co/api/v1/papers/arxiv/2511.20698?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.03401 | https://paperswithcode.co/api/v1/papers/arxiv/2503.03401?include_resources=true | 200 | true | 86421 | Evolutionary Prediction Games | https://arxiv.org/abs/2503.03401 | [] | [] | [] | [] | [] |
2510.25387 | https://paperswithcode.co/api/v1/papers/arxiv/2510.25387?include_resources=true | 200 | true | 65684 | Instance-Level Composed Image Retrieval | https://arxiv.org/abs/2510.25387 | [
{
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"owner": "billpsomas",
"name": "icir",
"stars": 0,
"is_official": true,
"source": "hf_api"
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] | [
{
"url": "https://vrg.fel.cvut.cz/icir/",
"is_official": true
}
] | [] | [] | [] |
2505.22246 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22246?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2512.18634 | https://paperswithcode.co/api/v1/papers/arxiv/2512.18634?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.05587 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05587?include_resources=true | 200 | true | 50676 | MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark | https://arxiv.org/abs/2506.05587 | [
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"owner": "MMTU-Benchmark",
"name": "MMTU",
"stars": 14,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2506.05551 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05551?include_resources=true | 200 | true | 50672 | When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding | https://arxiv.org/abs/2506.05551 | [
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"name": "MLLM-Semantic-Hallucination",
"stars": 21,
"is_official": true,
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] | [] | [] | [] | [] |
2505.13941 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13941?include_resources=true | 200 | true | 86718 | MLZero: A Multi-Agent System for End-to-end Machine Learning Automation | https://arxiv.org/abs/2505.13941 | [] | [] | [] | [] | [] |
2502.02216 | https://paperswithcode.co/api/v1/papers/arxiv/2502.02216?include_resources=true | 200 | true | 86458 | Flatten Graphs as Sequences: Transformers are Scalable Graph Generators | https://arxiv.org/abs/2502.02216 | [
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"owner": "borgwardtlab",
"name": "autograph",
"stars": 16,
"is_official": true,
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] | [] | [] | [] | [] |
2506.05331 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05331?include_resources=true | 200 | true | 50651 | MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning | https://arxiv.org/abs/2506.05331 | [
{
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2410.13903 | https://paperswithcode.co/api/v1/papers/arxiv/2410.13903?include_resources=true | 200 | true | 86481 | CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment | https://arxiv.org/abs/2410.13903 | [] | [] | [] | [] | [] |
2507.11847 | https://paperswithcode.co/api/v1/papers/arxiv/2507.11847?include_resources=true | 200 | true | 86427 | Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update | https://arxiv.org/abs/2507.11847 | [] | [] | [] | [] | [] |
2406.02613 | https://paperswithcode.co/api/v1/papers/arxiv/2406.02613?include_resources=true | 200 | true | 86234 | ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training | https://arxiv.org/abs/2406.02613 | [] | [] | [] | [] | [] |
2504.04827 | https://paperswithcode.co/api/v1/papers/arxiv/2504.04827?include_resources=true | 200 | true | 86796 | From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes | https://arxiv.org/abs/2504.04827 | [] | [] | [] | [] | [] |
2512.00708 | https://paperswithcode.co/api/v1/papers/arxiv/2512.00708?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2508.05926 | https://paperswithcode.co/api/v1/papers/arxiv/2508.05926?include_resources=true | 200 | true | 86544 | Reverse Diffusion Sequential Monte Carlo Samplers | https://arxiv.org/abs/2508.05926 | [] | [] | [] | [] | [] |
2506.01162 | https://paperswithcode.co/api/v1/papers/arxiv/2506.01162?include_resources=true | 200 | true | 87149 | Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor | https://arxiv.org/abs/2506.01162 | [] | [] | [] | [] | [] |
2510.00515 | https://paperswithcode.co/api/v1/papers/arxiv/2510.00515?include_resources=true | 200 | true | 53185 | Efficient Multi-modal Large Language Models via Progressive Consistency
Distillation | https://arxiv.org/abs/2510.00515 | [
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"owner": "ZichenWen1",
"name": "EPIC",
"stars": 38,
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"url": "https://zichenwen1.github.io/EPIC",
"is_official": true
}
] | [] | [] | [] |
2504.15471 | https://paperswithcode.co/api/v1/papers/arxiv/2504.15471?include_resources=true | 200 | true | 73411 | Bigram Subnetworks: Mapping to Next Tokens in Transformer Language
Models | https://arxiv.org/abs/2504.15471 | [] | [] | [] | [] | [] |
2505.21749 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21749?include_resources=true | 200 | true | 49974 | Revisiting Bi-Linear State Transitions in Recurrent Neural Networks | https://arxiv.org/abs/2505.21749 | [] | [] | [] | [] | [] |
2511.15906 | https://paperswithcode.co/api/v1/papers/arxiv/2511.15906?include_resources=true | 200 | true | 54377 | Unified all-atom molecule generation with neural fields | https://arxiv.org/abs/2511.15906 | [
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"url": "https://github.com/prescient-design/funcbind",
"owner": "prescient-design",
"name": "funcbind",
"st... | [] | [] | [] | [] |
2508.05954 | https://paperswithcode.co/api/v1/papers/arxiv/2508.05954?include_resources=true | 200 | true | 52276 | Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents | https://arxiv.org/abs/2508.05954 | [
{
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"owner": "HL-hanlin",
"name": "Bifrost-1",
"stars": 44,
"is_official": true,
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] | [
{
"url": "https://bifrost-1.github.io/",
"is_official": true
}
] | [] | [] | [] |
2503.17007 | https://paperswithcode.co/api/v1/papers/arxiv/2503.17007?include_resources=true | 200 | true | 85704 | RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching | https://arxiv.org/abs/2503.17007 | [] | [] | [] | [] | [] |
2505.24407 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24407?include_resources=true | 200 | true | 85752 | Efficient RAW Image Deblurring with Adaptive Frequency Modulation | https://arxiv.org/abs/2505.24407 | [
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2502.16320 | https://paperswithcode.co/api/v1/papers/arxiv/2502.16320?include_resources=true | 200 | true | 85777 | Direct Alignment with Heterogeneous Preferences | https://arxiv.org/abs/2502.16320 | [] | [] | [] | [] | [] |
2510.08748 | https://paperswithcode.co/api/v1/papers/arxiv/2510.08748?include_resources=true | 200 | true | 86164 | Conformal Risk Training: End-to-end optimization of conformal risk control | https://arxiv.org/abs/2510.08748 | [] | [] | [] | [] | [] |
2509.16950 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16950?include_resources=true | 200 | true | 85830 | Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving | https://arxiv.org/abs/2509.16950 | [] | [] | [] | [] | [] |
2402.03077 | https://paperswithcode.co/api/v1/papers/arxiv/2402.03077?include_resources=true | 200 | true | 87289 | Markov Persuasion Processes: Learning to Persuade From Scratch | https://arxiv.org/abs/2402.03077 | [] | [] | [] | [] | [] |
2504.16275 | https://paperswithcode.co/api/v1/papers/arxiv/2504.16275?include_resources=true | 200 | true | 73387 | Quantum Doubly Stochastic Transformers | https://arxiv.org/abs/2504.16275 | [] | [] | [] | [] | [] |
2507.00018 | https://paperswithcode.co/api/v1/papers/arxiv/2507.00018?include_resources=true | 200 | true | 71976 | Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections | https://arxiv.org/abs/2507.00018 | [] | [] | [] | [] | [] |
2506.00911 | https://paperswithcode.co/api/v1/papers/arxiv/2506.00911?include_resources=true | 200 | true | 87388 | Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models | https://arxiv.org/abs/2506.00911 | [] | [] | [] | [] | [] |
2507.07580 | https://paperswithcode.co/api/v1/papers/arxiv/2507.07580?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.09251 | https://paperswithcode.co/api/v1/papers/arxiv/2506.09251?include_resources=true | 200 | true | 86558 | Extrapolation by Association: Length Generalization Transfer In Transformers | https://arxiv.org/abs/2506.09251 | [] | [] | [] | [] | [] |
2505.19076 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19076?include_resources=true | 200 | true | 72744 | ChartSketcher: Reasoning with Multimodal Feedback and Reflection for
Chart Understanding | https://arxiv.org/abs/2505.19076 | [
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"name": "chartsketcher",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2505.22647 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22647?include_resources=true | 200 | true | 50025 | Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation | https://arxiv.org/abs/2505.22647 | [
{
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"owner": "meigen-ai",
"name": "multitalk",
"stars": 2727,
"is_official": true,
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] | [
{
"url": "https://meigen-ai.github.io/multi-talk/",
"is_official": true
}
] | [] | [] | [] |
2502.04670 | https://paperswithcode.co/api/v1/papers/arxiv/2502.04670?include_resources=true | 200 | true | 74853 | CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation | https://arxiv.org/abs/2502.04670 | [] | [] | [] | [] | [] |
2509.16204 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16204?include_resources=true | 200 | true | 71548 | Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs | https://arxiv.org/abs/2509.16204 | [] | [] | [] | [] | [] |
2410.01779 | https://paperswithcode.co/api/v1/papers/arxiv/2410.01779?include_resources=true | 200 | true | 37689 | Composing Global Optimizers to Reasoning Tasks via Algebraic Objects in Neural Nets | https://arxiv.org/abs/2410.01779v3 | [
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"owner": "facebookresearch",
"name": "luckmatters",
"stars": 305,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2510.09710 | https://paperswithcode.co/api/v1/papers/arxiv/2510.09710?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.12075 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12075?include_resources=true | 200 | true | 87380 | Do different prompting methods yield a common task representation in language models? | https://arxiv.org/abs/2505.12075 | [] | [] | [] | [] | [] |
2511.00804 | https://paperswithcode.co/api/v1/papers/arxiv/2511.00804?include_resources=true | 200 | true | 65527 | EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment | https://arxiv.org/abs/2511.00804 | [] | [] | [] | [] | [] |
2511.19914 | https://paperswithcode.co/api/v1/papers/arxiv/2511.19914?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2412.03054 | https://paperswithcode.co/api/v1/papers/arxiv/2412.03054?include_resources=true | 200 | true | 40946 | TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception | https://arxiv.org/abs/2412.03054 | [] | [] | [] | [] | [] |
2410.21151 | https://paperswithcode.co/api/v1/papers/arxiv/2410.21151?include_resources=true | 200 | true | 86417 | BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces | https://arxiv.org/abs/2410.21151 | [] | [] | [] | [] | [] |
2506.16349 | https://paperswithcode.co/api/v1/papers/arxiv/2506.16349?include_resources=true | 200 | true | 51292 | Watermarking Autoregressive Image Generation | https://arxiv.org/abs/2506.16349 | [
{
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"owner": "facebookresearch",
"name": "wmar",
"stars": 49,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2511.22305 | https://paperswithcode.co/api/v1/papers/arxiv/2511.22305?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.17982 | https://paperswithcode.co/api/v1/papers/arxiv/2505.17982?include_resources=true | 200 | true | 85979 | Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling | https://arxiv.org/abs/2505.17982 | [
{
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"owner": "bryanwong17",
"name": "hive-mil",
"stars": 26,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2412.17213 | https://paperswithcode.co/api/v1/papers/arxiv/2412.17213?include_resources=true | 200 | true | 86316 | Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool | https://arxiv.org/abs/2412.17213 | [] | [] | [] | [] | [] |
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