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Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.
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47,581 to 47,640 of 120,327
LEAP: Learning Articulated Occupancy of People
Marko Mihajlovic, Yan Zhang, Michael J. Black +1
cs.CVcs.AIarXiv:2104.06849v12021What Does BERT Look At? An Analysis of BERT's Attention
Kevin Clark, Urvashi Khandelwal, Omer Levy +1
cs.CLarXiv:1906.04341v12019Towards Massive Connectivity Support for Scalable mMTC Communications in 5G networks
Carsten Bockelmann, Nuno K. Pratas, Gerhard Wunder +16
cs.ITarXiv:1804.01701v12018On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning
Anvith Thudi, Hengrui Jia, Ilia Shumailov +1
cs.LGcs.AIcs.CRarXiv:2110.11891v22021Unified Panoramic Geometry Estimation via Multi-View Foundation Models
Vukasin Bozic, Isidora Slavkovic, Dominik Narnhofer +4
cs.CVcs.AIarXiv:2605.26368v22026The Problem Is the Problem: Towards Scalable Mathematical Discovery
Zeyu Zheng, Shengtong Zhang, Jeremy Avigad +2
cs.AImath.COarXiv:2608.16977v12026Measuring Chain of Thought Faithfulness by Unlearning Reasoning Steps
Martin Tutek, Fateme Hashemi Chaleshtori, Ana Marasović +1
cs.CLarXiv:2502.14829v42025Cooperative Target Localization in RIS-Enabled ISAC Systems
Rouhollah Amiri, Abdollah Ajorloo, Mohammad Mahdi Mojahedian +2
eess.SParXiv:2609.39708v12026Evaluating the Safety of Deep Learning-Based Brain MRI Reconstruction
Dat Tat Mai, Thai Viet Pham, Thu Nguyen Thi Dang +1
eess.IVcs.CVarXiv:2608.28714v12026PolaFormer: Polarity-aware Linear Attention for Vision Transformers
Weikang Meng, Yadan Luo, Xin Li +2
cs.CVcs.AIarXiv:2501.15061v22025Open Problems in Mechanistic Interpretability
Lee Sharkey, Bilal Chughtai, Joshua Batson +26
cs.LGarXiv:2501.16496v12025The Value of Information for Populations in Varying Environments
Olivier Rivoire, Stanislas Leibler
q-bio.PEcond-mat.stat-mechcs.ITarXiv:1010.5092v12010PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models
Mingue Park, Jisung Hwang, Seungwoo Yoo +2
cs.LGarXiv:2512.20063v32025Encoding Electronic Spectra in Quantum Circuits with Linear T Complexity
Ryan Babbush, Craig Gidney, Dominic W. Berry +5
quant-phcond-mat.str-elphysics.chem-pharXiv:1805.03662v22018All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs
Xi Chen, Mingyu Jin, Jingcheng Niu +7
cs.CLarXiv:2605.12671v12026TodoEvolve: Learning to Architect Agent Planning Systems
Jiaxi Liu, Yanzuo Jiang, Guibin Zhang +5
cs.CLcs.AIcs.LGarXiv:2602.07839v12026Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial Sensors
Xinyu Yi, Yuxiao Zhou, Marc Habermann +4
cs.GRarXiv:2203.08528v22022Let's Scale Step by Step: Compute-Efficient Hyperparameter Transfer for Large-Scale Mixture-of-Experts
Nayeon Kim, Hojin Lee, Yunju Bak +2
cs.LGcs.AIcs.CLarXiv:2608.20061v12026CAST: Alternating State-Value Targets and Expanded Policy Gradients for Model-Based Reinforcement Learning
Pietro Noah Crestaz, Mohamed Yassine Kabouri, Nicolas Mansard +1
cs.ROarXiv:2609.08853v12026BiasReducer: Adaptive Bias Mitigation for Reward Models
Shuang Liu, Yongliang Miao, Yanguang Liu +2
cs.LGarXiv:2609.32720v12026Deep Multi-task Learning for Railway Track Inspection
Xavier Gibert, Vishal M. Patel, Rama Chellappa
cs.CVarXiv:1509.05267v12015Weighted Memory Tree: Remembering What Matters for Long-Horizon LLM Agents
Quang Dao, Purvi Kathalkar, Kenneth Eaton
cs.AIarXiv:2608.20631v12026Diffusable Latents from Structure-Agnostic Distillation
Adrien Ramanana Rahary, Nicolas Dufour, Patrick Pérez +1
cs.CVarXiv:2609.39657v12026VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference
Jiaming Tang, Yufei Sun, Yilong Zhao +7
cs.ROcs.AIcs.LGarXiv:2512.01031v22025Fuzzy Pattern Matching in Ordered Structures
Armen Kostanyan, Arevik Harmandayan
cs.DSarXiv:2608.25032v12026Delay-Doppler Sensing Performance Analysis for MIMO-OFDM ISAC Systems
Peishi Li, Rang Liu, Qian Liu +1
eess.SParXiv:2609.00559v12026Backdoor Defense via Decoupling the Training Process
Kunzhe Huang, Yiming Li, Baoyuan Wu +2
cs.CRcs.CVcs.LGarXiv:2202.03423v12022The Past Is Not Past: Memory-Enhanced Dynamic Reward Shaping
Yang Liu, Enxi Wang, Yufei Gao +6
cs.LGcs.AIcs.CLarXiv:2604.11297v12026Qwen3 Technical Report
An Yang, Anfeng Li, Baosong Yang +57
cs.CLarXiv:2505.09388v12025StableVQ: Practical Guidelines for Stable Vector-Quantized Tokenizer Training
Bao Tang, Jiahao Guo, Haoxiang Cao +4
cs.CVarXiv:2609.26774v12026From Agent Loops to Structured Graphs:A Scheduler-Theoretic Framework for LLM Agent Execution
Hu Wei
cs.AIeess.SYarXiv:2604.11378v12026SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency
Junfeng Guo, Yiming Li, Xun Chen +3
cs.CRarXiv:2302.03251v22023AdaPT: An interactive procedure for multiple testing with side information
Lihua Lei, William Fithian
stat.MEarXiv:1609.06035v42016Transformers generalize differently from information stored in context vs in weights
Stephanie C. Y. Chan, Ishita Dasgupta, Junkyung Kim +3
cs.CLcs.AIcs.LGarXiv:2210.05675v22022What, When, and How: Audio Description as Constrained Global Optimization
Igor Sterner, Mirella Lapata, Alex Lascarides +1
cs.CLcs.CVarXiv:2609.30121v12026Probable but Not Valid: A Psychometric Audit of Decision Models as Synthetic Survey Respondents
Mantas Lukauskas, Viktorija Šarkauskaitė
cs.AIcs.CYstat.AParXiv:2610.14912v12026StepAudio 3 Gen Technical Report
Bin Lin, Bo Zhao, Boyang Wang +68
cs.SDeess.ASarXiv:2609.12945v12026The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman, Andrew Gelman
stat.COcs.LGarXiv:1111.4246v12011Who's asking? User personas and the mechanics of latent misalignment
Asma Ghandeharioun, Ann Yuan, Marius Guerard +3
cs.CLcs.AIarXiv:2406.12094v22024BinaryBERT: Pushing the Limit of BERT Quantization
Haoli Bai, Wei Zhang, Lu Hou +6
cs.CLarXiv:2012.15701v22020Real-Time Detection of Hallucinated Entities in Long-Form Generation
Oscar Obeso, Andy Arditi, Javier Ferrando +3
cs.CLcs.AIcs.LGarXiv:2509.03531v22025Subword Segmental BabyLMs: Learning to Tokenise for Sample-Efficient Pretraining
Francois Meyer
cs.CLarXiv:2609.01151v12026Sprint: Sparse-Dense Residual Fusion for Efficient Diffusion Transformers
Dogyun Park, Moayed Haji-Ali, Yanyu Li +5
cs.CVarXiv:2510.21986v22025VA-$\pi$: Variational Policy Alignment for Pixel-Aware Autoregressive Generation
Xinyao Liao, Qiyuan He, Kai Xu +4
cs.CVarXiv:2512.19680v12025What Makes Good In-context Demonstrations for Code Intelligence Tasks with LLMs?
Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao +3
cs.SEarXiv:2304.07575v22023SENTRY: Deterministic, Intelligent Risk Assessment for IT Change Management
Daniel Arulpragasam, Christer Henrysson, Ella Ly +2
cs.AIarXiv:2608.21203v12026A Survey on 3D Gaussian Splatting
Guikun Chen, Wenguan Wang
cs.CVcs.AIcs.GRarXiv:2401.03890v92024Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Tianhe Ren, Qing Jiang, Shilong Liu +13
cs.CVarXiv:2405.10300v22024How Firm Should a Grasp Be?
Matthew Beveridge, Shree K. Nayar
cs.ROcs.CVarXiv:2610.11221v12026On Diagonalizable Delay-Doppler Channels and Their Diagonalizing Waveforms
Sirui Li, Cheng Du, Yu Zhu
cs.ITeess.SParXiv:2608.30717v12026Active Semi-Supervised Learning Using Sampling Theory for Graph Signals
Akshay Gadde, Aamir Anis, Antonio Ortega
cs.LGstat.MLarXiv:1405.4324v12014Multi-turn Conversational AI from Text to Multimodal Interaction: Data, Models, Evaluation, and Open Challenges
Syeda Faiza Ahmed, Zien Sheikh Ali, Hunzalah Hassan Bhatti +2
cs.CLcs.AIcs.SDarXiv:2608.17605v12026SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild
Weihao Zeng, Yuzhen Huang, Qian Liu +4
cs.LGcs.AIcs.CLarXiv:2503.18892v32025Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs
Yuxia Wang, Haonan Li, Xudong Han +2
cs.CLarXiv:2308.13387v22023In the Driver's Seat: A Multi-Company Study on the Reality of Autonomous Driving System Testing
Qunying Song, Yuan Gao, Johannes Betz +3
cs.SEarXiv:2607.15820v12026Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning
Jiaxin Wen, Jian Guan, Hongning Wang +2
cs.CLarXiv:2409.12452v22024Deep learning for dynamic modeling and coded information storage of vector-soliton pulsations in mode-locked fiber lasers
Zhi-Zeng Si, Da-Lei Wang, Bo-Wei Zhu +6
physics.opticsnlin.PSarXiv:2407.18725v22024What Symmetry Buys a Learned Motion Planner
Andrea Emir Sevincel
cs.ROarXiv:2609.10033v12026Bregman Alternating Direction Method of Multipliers
Huahua Wang, Arindam Banerjee
math.OCcs.LGstat.MLarXiv:1306.3203v32013ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI
Yan Yang, Jian Sun, Huibin Li +1
cs.CVarXiv:1705.06869v12017