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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
2511.17565 | https://paperswithcode.co/api/v1/papers/arxiv/2511.17565?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.16743 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16743?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2411.08410 | https://paperswithcode.co/api/v1/papers/arxiv/2411.08410?include_resources=true | 200 | true | 39957 | The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense | https://arxiv.org/abs/2411.08410v2 | [] | [] | [] | [] | [] |
2506.01369 | https://paperswithcode.co/api/v1/papers/arxiv/2506.01369?include_resources=true | 200 | true | 72411 | Incentivizing LLMs to Self-Verify Their Answers | https://arxiv.org/abs/2506.01369 | [
{
"url": "https://github.com/mansicer/self-verification",
"owner": "mansicer",
"name": "self-verification",
"stars": 18,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2505.16636 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16636?include_resources=true | 200 | true | 85891 | Multivariate Latent Recalibration for Conditional Normalizing Flows | https://arxiv.org/abs/2505.16636 | [] | [] | [] | [] | [] |
2511.00117 | https://paperswithcode.co/api/v1/papers/arxiv/2511.00117?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.07591 | https://paperswithcode.co/api/v1/papers/arxiv/2502.07591?include_resources=true | 200 | true | 85985 | DMWM: Dual-Mind World Model with Long-Term Imagination | https://arxiv.org/abs/2502.07591 | [] | [] | [] | [] | [] |
2505.12668 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12668?include_resources=true | 200 | true | 72970 | Decompile-Bench: Million-Scale Binary-Source Function Pairs for
Real-World Binary Decompilation | https://arxiv.org/abs/2505.12668 | [
{
"url": "https://github.com/albertan017/LLM4Decompile",
"owner": "albertan017",
"name": "LLM4Decompile",
"stars": 6197,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2505.11580 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11580?include_resources=true | 200 | true | 48879 | Flash Invariant Point Attention | https://arxiv.org/abs/2505.11580 | [
{
"url": "https://github.com/flagshippioneering/flash_ipa",
"owner": "flagshippioneering",
"name": "flash_ipa",
"stars": 40,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2405.14741 | https://paperswithcode.co/api/v1/papers/arxiv/2405.14741?include_resources=true | 200 | true | 86767 | Subsampled Ensemble Can Improve Generalization Tail Exponentially | https://arxiv.org/abs/2405.14741 | [
{
"url": "https://github.com/mickeyhqian/voteensemble",
"owner": "mickeyhqian",
"name": "voteensemble",
"stars": 6,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2509.23802 | https://paperswithcode.co/api/v1/papers/arxiv/2509.23802?include_resources=true | 200 | true | 86124 | STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning | https://arxiv.org/abs/2509.23802 | [] | [] | [] | [] | [] |
2503.20752 | https://paperswithcode.co/api/v1/papers/arxiv/2503.20752?include_resources=true | 200 | true | 46806 | Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning | https://arxiv.org/abs/2503.20752v2 | [
{
"url": "https://github.com/tanhuajie/reason-rft",
"owner": "tanhuajie",
"name": "reason-rft",
"stars": 210,
"is_official": false,
"source": "links_json"
}
] | [
{
"url": "https://tanhuajie.github.io/ReasonRFT/",
"is_official": true
}
] | [] | [] | [] |
2603.09538 | https://paperswithcode.co/api/v1/papers/arxiv/2603.09538?include_resources=true | 200 | true | 59652 | Towards Unified Multimodal Interleaved Generation via Group Relative Policy Optimization | https://arxiv.org/abs/2603.09538 | [] | [] | [] | [] | [] |
2501.03937 | https://paperswithcode.co/api/v1/papers/arxiv/2501.03937?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.18454 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18454?include_resources=true | 200 | true | 49611 | Hybrid Latent Reasoning via Reinforcement Learning | https://arxiv.org/abs/2505.18454 | [
{
"url": "https://github.com/yueeeeeeee/hrpo",
"owner": "yueeeeeeee",
"name": "hrpo",
"stars": 166,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2503.08153 | https://paperswithcode.co/api/v1/papers/arxiv/2503.08153?include_resources=true | 200 | true | 45851 | WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation | https://arxiv.org/abs/2503.08153 | [
{
"url": "https://github.com/360CVGroup/WISA",
"owner": "360CVGroup",
"name": "WISA",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://360cvgroup.github.io/WISA/",
"is_official": true
}
] | [] | [] | [] |
2505.21077 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21077?include_resources=true | 200 | true | 85826 | Efficient Large Language Model Inference with Neural Block Linearization | https://arxiv.org/abs/2505.21077 | [] | [] | [] | [] | [] |
2506.05632 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05632?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.00998 | https://paperswithcode.co/api/v1/papers/arxiv/2511.00998?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.14520 | https://paperswithcode.co/api/v1/papers/arxiv/2502.14520?include_resources=true | 200 | true | 86153 | Learning Temporal 3D Semantic Scene Completion via Optical Flow Guidance | https://arxiv.org/abs/2502.14520 | [] | [] | [] | [] | [] |
2505.10139 | https://paperswithcode.co/api/v1/papers/arxiv/2505.10139?include_resources=true | 200 | true | 86264 | Path Gradients after Flow Matching | https://arxiv.org/abs/2505.10139 | [] | [] | [] | [] | [] |
2507.05362 | https://paperswithcode.co/api/v1/papers/arxiv/2507.05362?include_resources=true | 200 | true | 71364 | On the Bias of Next-Token Predictors Toward Systematically Inefficient
Reasoning: A Shortest-Path Case Study | https://arxiv.org/abs/2507.05362 | [] | [] | [] | [] | [] |
2509.17552 | https://paperswithcode.co/api/v1/papers/arxiv/2509.17552?include_resources=true | 200 | true | 85948 | Can LLMs Reason Over Non-Text Modalities in a Training-Free Manner? A Case Study with In-Context Representation Learning | https://arxiv.org/abs/2509.17552 | [] | [] | [] | [] | [] |
2511.10439 | https://paperswithcode.co/api/v1/papers/arxiv/2511.10439?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.15031 | https://paperswithcode.co/api/v1/papers/arxiv/2509.15031?include_resources=true | 200 | true | 68194 | AutoEdit: Automatic Hyperparameter Tuning for Image Editing | https://arxiv.org/abs/2509.15031 | [
{
"url": "https://github.com/chaupham1709/autoedit",
"owner": "chaupham1709",
"name": "AutoEdit",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2501.11384 | https://paperswithcode.co/api/v1/papers/arxiv/2501.11384?include_resources=true | 200 | true | 86266 | Transductive Conformal Inference for Full Ranking | https://arxiv.org/abs/2501.11384 | [] | [] | [] | [] | [] |
2506.13589 | https://paperswithcode.co/api/v1/papers/arxiv/2506.13589?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.10576 | https://paperswithcode.co/api/v1/papers/arxiv/2503.10576?include_resources=true | 200 | true | 86190 | Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures | https://arxiv.org/abs/2503.10576 | [] | [] | [] | [] | [] |
2506.06549 | https://paperswithcode.co/api/v1/papers/arxiv/2506.06549?include_resources=true | 200 | true | 86968 | GeoClip: Geometry-Aware Clipping for Differentially Private SGD | https://arxiv.org/abs/2506.06549 | [] | [] | [] | [] | [] |
2410.16928 | https://paperswithcode.co/api/v1/papers/arxiv/2410.16928?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.09167 | https://paperswithcode.co/api/v1/papers/arxiv/2505.09167?include_resources=true | 200 | true | 86792 | Online Learning of Neural Networks | https://arxiv.org/abs/2505.09167 | [] | [] | [] | [] | [] |
2505.18455 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18455?include_resources=true | 200 | true | 86192 | On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts | https://arxiv.org/abs/2505.18455 | [] | [] | [] | [] | [] |
2506.01183 | https://paperswithcode.co/api/v1/papers/arxiv/2506.01183?include_resources=true | 200 | true | 72431 | Doubly Robust Alignment for Large Language Models | https://arxiv.org/abs/2506.01183 | [
{
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"owner": "drpo4llm",
"name": "drpo4llm",
"stars": 14,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2510.15304 | https://paperswithcode.co/api/v1/papers/arxiv/2510.15304?include_resources=true | 200 | true | 86317 | Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation | https://arxiv.org/abs/2510.15304 | [
{
"url": "https://github.com/mpi-lab/come",
"owner": "mpi-lab",
"name": "come",
"stars": 1,
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}
] | [] | [] | [] | [] |
2510.17103 | https://paperswithcode.co/api/v1/papers/arxiv/2510.17103?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.07185 | https://paperswithcode.co/api/v1/papers/arxiv/2510.07185?include_resources=true | 200 | true | 86942 | Split conformal classification with unsupervised calibration | https://arxiv.org/abs/2510.07185 | [] | [] | [] | [] | [] |
2506.23329 | https://paperswithcode.co/api/v1/papers/arxiv/2506.23329?include_resources=true | 200 | true | 51579 | IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering | https://arxiv.org/abs/2506.23329 | [
{
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"owner": "LiuHengyu321",
"name": "IR3D-Bench",
"stars": 42,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://ir3d-bench.github.io/",
"is_official": true
}
] | [] | [] | [] |
2505.20781 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20781?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.02667 | https://paperswithcode.co/api/v1/papers/arxiv/2511.02667?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.06277 | https://paperswithcode.co/api/v1/papers/arxiv/2506.06277?include_resources=true | 200 | true | 72192 | ExAct: A Video-Language Benchmark for Expert Action Analysis | https://arxiv.org/abs/2506.06277 | [
{
"url": "https://github.com/Texaser/Exact",
"owner": "Texaser",
"name": "Exact",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://texaser.github.io/exact_project_page/",
"is_official": true
}
] | [] | [] | [] |
2505.00787 | https://paperswithcode.co/api/v1/papers/arxiv/2505.00787?include_resources=true | 200 | true | 86259 | Constructing an Optimal Behavior Basis for the Option Keyboard | https://arxiv.org/abs/2505.00787 | [] | [] | [] | [] | [] |
2405.12207 | https://paperswithcode.co/api/v1/papers/arxiv/2405.12207?include_resources=true | 200 | true | 87314 | Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search | https://arxiv.org/abs/2405.12207 | [] | [] | [] | [] | [] |
2511.00457 | https://paperswithcode.co/api/v1/papers/arxiv/2511.00457?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.21416 | https://paperswithcode.co/api/v1/papers/arxiv/2506.21416?include_resources=true | 200 | true | 51513 | XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation | https://arxiv.org/abs/2506.21416 | [
{
"url": "https://github.com/bytedance/xverse",
"owner": "bytedance",
"name": "XVerse",
"stars": 616,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://bytedance.github.io/XVerse/",
"is_official": true
},
{
"url": "https://bytedance.github.io/XVerse",
"is_official": true
}
] | [] | [] | [] |
2506.08062 | https://paperswithcode.co/api/v1/papers/arxiv/2506.08062?include_resources=true | 200 | true | 86979 | FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning | https://arxiv.org/abs/2506.08062 | [] | [] | [] | [] | [] |
2505.15496 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15496?include_resources=true | 200 | true | 86211 | Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes | https://arxiv.org/abs/2505.15496 | [] | [] | [] | [] | [] |
2512.01987 | https://paperswithcode.co/api/v1/papers/arxiv/2512.01987?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.19252 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19252?include_resources=true | 200 | true | 86016 | Learning-Augmented Online Bipartite Fractional Matching | https://arxiv.org/abs/2505.19252 | [] | [] | [] | [] | [] |
2507.01467 | https://paperswithcode.co/api/v1/papers/arxiv/2507.01467?include_resources=true | 200 | true | 71525 | Representation Entanglement for Generation:Training Diffusion
Transformers Is Much Easier Than You Think | https://arxiv.org/abs/2507.01467 | [
{
"url": "https://github.com/martinser/reg",
"owner": "Martinser",
"name": "REG",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2505.14142 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14142?include_resources=true | 200 | true | 72936 | AudSemThinker: Enhancing Audio-Language Models through Reasoning over
Semantics of Sound | https://arxiv.org/abs/2505.14142 | [
{
"url": "https://github.com/gljs/audsemthinker",
"owner": "gljs",
"name": "audsemthinker",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2510.09240 | https://paperswithcode.co/api/v1/papers/arxiv/2510.09240?include_resources=true | 200 | true | 66647 | Incentivizing Time-Aware Fairness in Data Sharing | https://arxiv.org/abs/2510.09240 | [] | [] | [] | [] | [] |
2505.18809 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18809?include_resources=true | 200 | true | 72757 | VORTA: Efficient Video Diffusion via Routing Sparse Attention | https://arxiv.org/abs/2505.18809 | [
{
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"owner": "wenhao728",
"name": "vorta",
"stars": 0,
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"source": "hf_api"
}
] | [] | [] | [] | [] |
2507.09837 | https://paperswithcode.co/api/v1/papers/arxiv/2507.09837?include_resources=true | 200 | true | 86960 | A Pre-training Framework for Relational Data with Information-theoretic Principles | https://arxiv.org/abs/2507.09837 | [] | [] | [] | [] | [] |
2505.19234 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19234?include_resources=true | 200 | true | 86605 | GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling | https://arxiv.org/abs/2505.19234 | [
{
"url": "https://github.com/jialongzhou666/guardian",
"owner": "jialongzhou666",
"name": "guardian",
"stars": 8,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2510.20322 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20322?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2512.08138 | https://paperswithcode.co/api/v1/papers/arxiv/2512.08138?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.17065 | https://paperswithcode.co/api/v1/papers/arxiv/2506.17065?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.04168 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04168?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.20313 | https://paperswithcode.co/api/v1/papers/arxiv/2502.20313?include_resources=true | 200 | true | 45172 | FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction | https://arxiv.org/abs/2502.20313 | [
{
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"owner": "jiaosiyu1999",
"name": "FlexVAR",
"stars": 121,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2506.00618 | https://paperswithcode.co/api/v1/papers/arxiv/2506.00618?include_resources=true | 200 | true | 50326 | RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents | https://arxiv.org/abs/2506.00618v3 | [
{
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"owner": "yjyddq",
"name": "RiOSWorld",
"stars": 103,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://yjyddq.github.io/RiOSWorld.github.io/",
"is_official": true
}
] | [] | [] | [] |
2412.00661 | https://paperswithcode.co/api/v1/papers/arxiv/2412.00661?include_resources=true | 200 | true | 86861 | Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning | https://arxiv.org/abs/2412.00661 | [] | [] | [] | [] | [] |
2505.20302 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20302?include_resources=true | 200 | true | 49866 | VeriThoughts: Enabling Automated Verilog Code Generation using Reasoning and Formal Verification | https://arxiv.org/abs/2505.20302v2 | [
{
"url": "https://github.com/wilyub/verithoughts",
"owner": "wilyub",
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{
"url": "https://github.com/wilyub/verithoughts}{this",
"owner": "wilyub",
"name": "VeriThoughts}{this",
"stars": 0,
... | [] | [] | [] | [] |
2506.03719 | https://paperswithcode.co/api/v1/papers/arxiv/2506.03719?include_resources=true | 200 | true | 87372 | On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity | https://arxiv.org/abs/2506.03719 | [] | [] | [] | [] | [] |
2506.04970 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04970?include_resources=true | 200 | true | 72246 | Bringing SAM to new heights: Leveraging elevation data for tree crown segmentation from drone imagery | https://arxiv.org/abs/2506.04970 | [] | [] | [] | [] | [] |
2504.10612 | https://paperswithcode.co/api/v1/papers/arxiv/2504.10612?include_resources=true | 200 | true | 86484 | Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling | https://arxiv.org/abs/2504.10612 | [] | [] | [] | [] | [] |
2506.17090 | https://paperswithcode.co/api/v1/papers/arxiv/2506.17090?include_resources=true | 200 | true | 51313 | Better Language Model Inversion by Compactly Representing Next-Token Distributions | https://arxiv.org/abs/2506.17090v2 | [] | [] | [] | [] | [] |
2505.17847 | https://paperswithcode.co/api/v1/papers/arxiv/2505.17847?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.04661 | https://paperswithcode.co/api/v1/papers/arxiv/2509.04661?include_resources=true | 200 | true | 85963 | Flexible inference of learning rules from de novo learning data using neural networks | https://arxiv.org/abs/2509.04661 | [] | [] | [] | [] | [] |
2410.23169 | https://paperswithcode.co/api/v1/papers/arxiv/2410.23169?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.23387 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23387?include_resources=true | 200 | true | 50104 | Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization | https://arxiv.org/abs/2505.23387v3 | [
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"owner": "Elfsong",
"name": "Afterburner",
"stars": 10,
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] | [
{
"url": "https://github.com/Elfsong/Afterburner",
"is_official": true
}
] | [] | [] | [] |
2412.15188 | https://paperswithcode.co/api/v1/papers/arxiv/2412.15188?include_resources=true | 200 | true | 41921 | LMFusion: Adapting Pretrained Language Models for Multimodal Generation | https://arxiv.org/abs/2412.15188v3 | [] | [] | [] | [] | [] |
2506.11357 | https://paperswithcode.co/api/v1/papers/arxiv/2506.11357?include_resources=true | 200 | true | 87348 | Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel | https://arxiv.org/abs/2506.11357 | [] | [] | [] | [] | [] |
2503.02875 | https://paperswithcode.co/api/v1/papers/arxiv/2503.02875?include_resources=true | 200 | true | 45441 | The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models | https://arxiv.org/abs/2503.02875 | [
{
"url": "https://github.com/1ke-ji/upft",
"owner": "1KE-JI",
"name": "UPFT",
"stars": 14,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2506.11997 | https://paperswithcode.co/api/v1/papers/arxiv/2506.11997?include_resources=true | 200 | true | 51089 | pLSTM: parallelizable Linear Source Transition Mark networks | https://arxiv.org/abs/2506.11997 | [
{
"url": "https://github.com/ml-jku/plstm_experiments",
"owner": "ml-jku",
"name": "plstm_experiments",
"stars": 16,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2412.14161 | https://paperswithcode.co/api/v1/papers/arxiv/2412.14161?include_resources=true | 200 | true | 41850 | TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks | https://arxiv.org/abs/2412.14161v2 | [
{
"url": "https://github.com/theagentcompany/theagentcompany",
"owner": "TheAgentCompany",
"name": "TheAgentCompany",
"stars": 605,
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2501.01243 | https://paperswithcode.co/api/v1/papers/arxiv/2501.01243?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.05345 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05345?include_resources=true | 200 | true | 50661 | Inference-Time Hyper-Scaling with KV Cache Compression | https://arxiv.org/abs/2506.05345 | [] | [] | [] | [] | [] |
2505.19238 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19238?include_resources=true | 200 | true | 86165 | Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees | https://arxiv.org/abs/2505.19238 | [] | [] | [] | [] | [] |
2505.23696 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23696?include_resources=true | 200 | true | 85982 | Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms | https://arxiv.org/abs/2505.23696 | [] | [] | [] | [] | [] |
2505.18705 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18705?include_resources=true | 200 | true | 49643 | AI-Researcher: Autonomous Scientific Innovation | https://arxiv.org/abs/2505.18705 | [
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2512.01048 | https://paperswithcode.co/api/v1/papers/arxiv/2512.01048?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.20520 | https://paperswithcode.co/api/v1/papers/arxiv/2506.20520?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.11252 | https://paperswithcode.co/api/v1/papers/arxiv/2506.11252?include_resources=true | 200 | true | 86275 | Anti-Aliased 2D Gaussian Splatting | https://arxiv.org/abs/2506.11252 | [] | [] | [] | [] | [] |
2506.02385 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02385?include_resources=true | 200 | true | 86778 | Multi-agent Markov Entanglement | https://arxiv.org/abs/2506.02385 | [] | [] | [] | [] | [] |
2506.09890 | https://paperswithcode.co/api/v1/papers/arxiv/2506.09890?include_resources=true | 200 | true | 86916 | The Emergence of Abstract Thought in Large Language Models Beyond Any Language | https://arxiv.org/abs/2506.09890 | [] | [] | [] | [] | [] |
2510.08445 | https://paperswithcode.co/api/v1/papers/arxiv/2510.08445?include_resources=true | 200 | true | 66179 | Synthetic Series-Symbol Data Generation for Time Series Foundation Models | https://arxiv.org/abs/2510.08445 | [
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2506.04490 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04490?include_resources=true | 200 | true | 85796 | Multiscale guidance of AlphaFold3 with heterogeneous cryo-EM data | https://arxiv.org/abs/2506.04490 | [] | [] | [] | [] | [] |
2502.05790 | https://paperswithcode.co/api/v1/papers/arxiv/2502.05790?include_resources=true | 200 | true | 74811 | Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining | https://arxiv.org/abs/2502.05790 | [] | [] | [] | [] | [] |
2510.08396 | https://paperswithcode.co/api/v1/papers/arxiv/2510.08396?include_resources=true | 200 | true | 66711 | FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit
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2509.23779 | https://paperswithcode.co/api/v1/papers/arxiv/2509.23779?include_resources=true | 200 | true | 87070 | Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression | https://arxiv.org/abs/2509.23779 | [] | [] | [] | [] | [] |
2507.15857 | https://paperswithcode.co/api/v1/papers/arxiv/2507.15857?include_resources=true | 200 | true | 70913 | Diffusion Beats Autoregressive in Data-Constrained Settings | https://arxiv.org/abs/2507.15857 | [
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2510.12950 | https://paperswithcode.co/api/v1/papers/arxiv/2510.12950?include_resources=true | 200 | true | 87114 | An Investigation of Memorization Risk in Healthcare Foundation Models | https://arxiv.org/abs/2510.12950 | [] | [] | [] | [] | [] |
2511.02109 | https://paperswithcode.co/api/v1/papers/arxiv/2511.02109?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.22434 | https://paperswithcode.co/api/v1/papers/arxiv/2506.22434?include_resources=true | 200 | true | 51553 | MiCo: Multi-image Contrast for Reinforcement Visual Reasoning | https://arxiv.org/abs/2506.22434 | [] | [] | [] | [] | [] |
2501.13772 | https://paperswithcode.co/api/v1/papers/arxiv/2501.13772?include_resources=true | 200 | true | 43159 | Jailbreak-AudioBench: In-Depth Evaluation and Analysis of Jailbreak Threats for Large Audio Language Models | https://arxiv.org/abs/2501.13772v3 | [] | [
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2506.05184 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05184?include_resources=true | 200 | true | 85856 | Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis | https://arxiv.org/abs/2506.05184 | [] | [] | [] | [] | [] |
2505.20612 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20612?include_resources=true | 200 | true | 54189 | Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models | https://arxiv.org/abs/2505.20612v4 | [
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2505.05082 | https://paperswithcode.co/api/v1/papers/arxiv/2505.05082?include_resources=true | 200 | true | 85836 | ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model | https://arxiv.org/abs/2505.05082 | [] | [] | [] | [] | [] |
2506.07104 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07104?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.17543 | https://paperswithcode.co/api/v1/papers/arxiv/2505.17543?include_resources=true | 200 | true | 72816 | MEGADance: Mixture-of-Experts Architecture for Genre-Aware 3D Dance
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