source stringclasses 2
values | paper_id stringlengths 10 26 | doi stringlengths 15 34 ⌀ | version int64 1 6 | title stringlengths 22 201 | authors listlengths 1 43 | license stringclasses 2
values | source_url stringlengths 35 60 | published timestamp[s]date 2021-03-03 00:00:00 2026-07-16 00:00:00 | blocks listlengths 19 529 |
|---|---|---|---|---|---|---|---|---|---|
arxiv | 2607.06766 | null | 2 | Deployment Risk Assessment Using Diff-Aware Features: A Case Study at Prime Video | [
"Mayur Kurup",
"Hyunjae Suh",
"Swathi Vaidyanathan",
"Pranesh Vyas",
"Srinidhi Madabhushi",
"Yegor Silyutin"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06766v2 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1. Introduction"
},
{
"type": "para",
"text": "Live event streaming services such as Prime Video operate under stringent reliability requirements, particularly during large-scale broadcasts like NFL Thursday Night Football (TNF) and Premier League ma... |
arxiv | 2607.08793 | null | 2 | EHR-MPC: Inference-Time Control for Sepsis Treatment with Generative Patient Digital Twins | [
"Joshua Pickard",
"Wei Qi",
"Na Li",
"Ann Woolley",
"Lisa Cosimi",
"Roy Kishony",
"Deborah Hung"
] | CC-BY-4.0 | https://arxiv.org/html/2607.08793v2 | 2026-07-07T00:00:00 | [
{
"type": "para",
"text": ": \\theoremsep \\jmlrvolume [VOLUME # TBD] \\jmlryear 2026 \\jmlrworkshop Machine Learning for Healthcare"
},
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Treatment of sepsis patients is a major healthcare chal... |
arxiv | 2607.06719 | null | 1 | Macroeconomic Message Passing for Anticipating Foreign Exchange Regime Changes: A Deep Logical Learning Approach using Graph Tsetlin Machines | [
"Christian Blakely",
"Melanie Gilmore"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06719v1 | 2026-07-07T00:00:00 | [
{
"type": "para",
"text": "Christian Blakely]blakely@bernoly.com \\alsoaffiliation Head of AI, Bernoly AG, Zurich, Switzerland"
},
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "The identification of foreign exchange (FX) market regimes, n... |
arxiv | 2607.06656 | null | 1 | Robust Human-AI Complementarity under Uncertainty | [
"Yewon Byun",
"Bryan Wilder"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06656v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Many hope that machine learning models will augment human decision making without replacing it by providing decision makers with complementary information. For instance, in scientific settings, LLMs are i... |
arxiv | 2607.06652 | null | 1 | From Jumps to Signatures: a Generative Method for Temporal Point Processes | [
"Niels Cariou-Kotlarek",
"Vasileios Lampos"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06652v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Temporal Point Processes (TPPs) model discrete events occurring in continuous time [ 24 , 12 ] . They underpin applications across finance [ 3 ] , seismology [ 14 ] , information diffusion [ 25 ] , and he... |
arxiv | 2607.06497 | null | 1 | EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning | [
"Przemysław Rola"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06497v1 | 2026-07-07T00:00:00 | [
{
"type": "para",
"text": "Keywords Manifold Learning ⋅ \\cdot Dimensionality Reduction ⋅ \\cdot Geodesic Distance ⋅ \\cdot Maximum Entropy Random Walk ⋅ \\cdot Diffusion Geometry ⋅ \\cdot Path Ensemble ⋅ \\cdot Single-Cell Trajectory Inference"
},
{
"type": "heading",
"level": 1,
"text": "1... |
arxiv | 2607.06495 | null | 1 | Pitwall: Faithful Natural-Language Race-Strategy Briefings from a Calibrated Real-Time Monte Carlo Engine | [
"Juan S. Santillana"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06495v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "A modern Formula 1 race is decided as much on the pit wall as on the track. A pit stop costs roughly 20–25 s of race time, tyre compounds degrade non-linearly and at circuit-specific rates, overtaking dif... |
arxiv | 2607.06484 | null | 1 | Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles | [
"Marwan Lazrag",
"Badis Hammi",
"Lorena Gonzalez-Manzano",
"Joaquin Garcia-Alfaro"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06484v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1. INTRODUCTION"
},
{
"type": "para",
"text": "Connected and Autonomous Vehicles (CAVs) 1 1 1 For the remainder of this paper, the terms “Connected Autonomous Vehicles (CAVs)” and “Autonomous Vehicles (AVs)” are used interchangeably in the context of... |
arxiv | 2607.06648 | null | 1 | Final Checkpoints Are Not Enough: Analyzing Latent Reasoning Faithfulness Along Training Trajectories | [
"Hengyu Jin",
"Shu Yang",
"Di Wang"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06648v1 | 2026-07-07T00:00:00 | [
{
"type": "para",
"text": "Final Checkpoints Are Not Enough: Analyzing Latent Reasoning Faithfulness Along Training Trajectories"
},
{
"type": "para",
"text": "Hengyu Jin 1,2,3 , Shu Yang 2,3 , Di Wang 2,3 † † thanks: Corresponding author. 1 Tongji University 2 Provable Responsible AI and Data A... |
arxiv | 2607.06647 | null | 1 | ORAN-DEFEND: Subspace Detection and Sanitization of Backdoor DRL xApps in Open RAN | [
"Md Raihan Uddin",
"Fatemeh Lotfi",
"Tolunay Seyfi",
"Fatemeh Afghah"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06647v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "I Introduction"
},
{
"type": "para",
"text": "The Open Radio Access Network (O-RAN) initiative disaggregates the cellular radio access network into vendor-neutral, software-defined components coordinated by RAN Intelligent Controllers (RICs) [ 17 ] .... |
arxiv | 2607.06388 | null | 1 | Learning to Throw Objects Safely in Multi-Obstacle Environments | [
"Mohammadreza Kasaei",
"Klemen Voncina",
"Hamidreza Kasaei"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06388v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "I Introduction"
},
{
"type": "para",
"text": "In automated distribution and sorting logistics systems, speed and efficiency play a critical role [ 33 ] . Developing robots with the ability to swiftly pick up and throw objects can significantly enhanc... |
arxiv | 2607.06382 | null | 1 | A Function-Space Dichotomy for Compositional Learning: Exponential Sub-Optimality of the Neural Tangent Kernel | [
"Arkaprabha Ganguli",
"Emil Constantinescu"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06382v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "A central tool for the theory of deep learning is the neural tangent kernel (NTK) (Jacot et al. 2018 ) . It rests on a striking fact: when a network is very wide and trained by gradient descent at the sta... |
arxiv | 2607.06643 | null | 1 | The Power of Backdoor Absorption in Community Training | [
"Issam Seddik",
"Sami Souihi",
"Mohamed Tamaazousti",
"Sara Tucci Piergiovanni"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06643v1 | 2026-07-07T00:00:00 | [
{
"type": "para",
"text": "K eywords Deep learning, backdoor attacks, defenses"
},
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "As AI systems continue to achieve unprecedented performance across increasingly complex tasks ( Abramson et a... |
arxiv | 2607.06641 | null | 1 | Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering | [
"Felix Feldman",
"Joshua Harris",
"Timothy Laurence",
"Leo Loman",
"Ollie Higgins",
"Fan Grayson",
"Poonam Soma",
"Bethany Pace-Bonello",
"Michael Borowitz",
"Toby Nonnenmacher"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06641v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Artificial intelligence (AI) is playing an expanding role in public health, from chatbots that answer health queries [ 24 ] to decision-support tools for public health professionals [ 15 ] . Large languag... |
arxiv | 2607.06640 | null | 1 | The Rank-One Corner: How Much Value Equivalence Does a Task Need from a World Model? | [
"Donna Vakalis"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06640v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "A learned world model is typically trained to reconstruct what it observes or to predict the reward it receives, and its quality is then reported as a single number: a reconstruction error, or a return un... |
arxiv | 2607.06636 | null | 1 | Specification Grounding Drives Test Effectiveness for LLM Code | [
"Amin Haeri",
"Mahdi Ghelichi"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06636v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "A modern language model, asked to write a small function, almost always returns something that compiles and handles the common case. Failures frequently arise in boundary conditions and under-specified be... |
arxiv | 2607.06632 | null | 1 | Does Demand Response Increase Vulnerability to Cyber Attacks by Adversarial Data Modifications? | [
"Clemens Kortmann",
"Eike Cramer"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06632v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "The volatility of renewable energy sources introduces fluctuations in energy generation. Demand response (DR) encompasses the management of flexible electricity demand and is expected to help balancing su... |
arxiv | 2607.06630 | null | 1 | When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models | [
"Jasmeet Singh Bindra"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06630v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Neural interfaces are moving from laboratory prototypes into clinical deployment across rehabilitation, assistive communication, neuroprosthetic control, and affective computing [ 27 , 16 , 9 ] . In these... |
arxiv | 2607.06175 | null | 1 | Improving LLM-Generated Process Model Quality Through Reinforcement Learning: The Role of Reward Function Design | [
"Alexander Rombach",
"Chantale Lauer",
"Nijat Mehdiyev"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06175v1 | 2026-07-07T00:00:00 | [
{
"type": "para",
"text": "[orcid=0000-0002-9173-4215] \\cormark [1] \\credit Conceptualization, Methodology, Software, Writing – original draft, Writing – review and editing"
},
{
"type": "para",
"text": "Conceptualization, Data curation, Software, Writing – original draft, Writing – review and... |
arxiv | 2607.06163 | null | 1 | X-FEMR: A Token-level Explainable Approach for Electronic Health Records Foundation Models using Transformer-based Models | [
"Jie Huang",
"Pengfei Yin",
"Zihan Xu",
"Daniel Capurro",
"Mike Conway",
"Ting Dang"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06163v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Foundation models (FMs) are trained on large-scale and diverse datasets using self-supervised objectives, learning to acquire general-purpose representations that can be efficiently adapted to a wide rang... |
arxiv | 2607.06115 | null | 1 | 6G Sensing Security: Distributed Game-Theoretic RL for Urban Beamforming and Attacker Detection | [
"Parmida Geranmayeh",
"Onur Günlü"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06115v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "I Introduction"
},
{
"type": "para",
"text": "Integrated sensing and communication (ISAC) is seen as a promising technology for future wireless networks [ 1 , 2 ] investigated from different perspectives, such as waveform design, resource allocation,... |
arxiv | 2607.06114 | null | 2 | x-Prediction Is All You Need:Training-Free Accelerated Generation via Endpoint Decodability | [
"Xin Peng",
"Ang Gao"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06114v2 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "Introduction"
},
{
"type": "para",
"text": "Diffusion models (Ho et al. 2020 ; Song et al. 2021b ; Nichol and Dhariwal 2021 ) and flow matching (Lipman et al. 2023 ; Albergo and Vanden-Eijnden 2023 ; Liu et al. 2023 ) produce stunning images but requ... |
arxiv | 2607.06037 | null | 1 | REAN: Reconstruction-aware ECG Anonymization Based on Privacy--Utility Orthogonality | [
"Taerin Ki",
"Sunghwan Park",
"Junyoung Park",
"Jaewoo Lee"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06037v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "I Introduction"
},
{
"type": "para",
"text": "Electrocardiograms (ECGs) are widely shared for diagnosing arrhythmia, ischemia, and conduction disorders, yet the same waveform is a biometric fingerprint that reveals a patient’s identity, gender, and a... |
arxiv | 2607.06616 | null | 1 | WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning | [
"Sangwoo Lee",
"Sunghwan Park",
"Jaewoo Lee"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06616v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Label skew is a fundamental challenge in federated learning (FL) [ kairouz , lifl ] . Clients hold locally imbalanced class distributions, so their local updates drift apart and degrade the global model [... |
arxiv | 2607.07733 | null | 1 | A Self-Supervised Approach for Minimal-Annotation Hydroacoustic Data Exploration | [
"Pierre-Yves Raumer",
"Axel Marmoret",
"Dorian Cazau",
"Anatole Gros-Martial",
"Richard Dreo",
"Maelle Torterotot",
"Sara Bazin",
"Flore Samaran",
"Jean-Yves Royer"
] | CC-BY-4.0 | https://arxiv.org/html/2607.07733v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "I Introduction"
},
{
"type": "para",
"text": "Passive hydroacoustic monitoring has become a key tool for observing the ocean at large spatial and temporal scales. Because low-frequency sound propagates efficiently underwater, hydrophone networks can ... |
arxiv | 2607.05937 | null | 1 | Is Domain Adaptation Always Helpful? A Frozen-Backbone Study of Cross-Domain Sentiment Transfer | [
"Phat Tran",
"Artin Lahni",
"Pranav Kulkarni",
"Yaolun Zhang"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05937v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "I Introduction"
},
{
"type": "para",
"text": "Sentiment analysis, the task of classifying the subjective polarity of text, is a cornerstone application of natural language processing (NLP), powering everything from product recommendation systems to f... |
arxiv | 2607.05933 | null | 1 | Energy-Efficient GPU DVFS for Fine-Tuning of SLMs on Resource-constrained Embedded Devices | [
"Jurn-Gyu Park",
"Sanzhar Zholdybayev",
"Aidar Amangeldi",
"Ademi Zhanuzakova"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05933v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "I Introduction"
},
{
"type": "para",
"text": "Transformer models on integrated GPU-based embedded and mobile platforms are increasingly adopted for on-device SLM fine-tuning in healthcare, finance, and autonomous systems, where privacy, latency, and ... |
arxiv | 2607.05908 | null | 1 | Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift | [
"Robin Holzinger",
"Riccardo Colletti"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05908v1 | 2026-07-07T00:00:00 | [
{
"type": "para",
"text": "marginparsep has been altered. topmargin has been altered. marginparpush has been altered. The page layout violates the ICML style. Please do not change the page layout, or include packages like geometry, savetrees, or fullpage, which change it for you. We’re not able to reliably ... |
arxiv | 2607.05904 | null | 1 | More Convincing, Not More Correct: Self-Play Reward Hacking of Reference-Free LLM Judges | [
"Chenyu Zhou"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05904v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Reinforcement learning from a model’s own evaluations has become a central recipe for improving language models without human labels. Reference-free “LLM-as-a-judge” rewards, self-reward, and self-play sc... |
arxiv | 2607.05903 | null | 1 | K-ABENA: K-Adaptive Backpropagation with Error-based N-exclusion Algorithm : (Compensated Loss-Based Sample Exclusion with Unbiased Gradient Estimation) | [
"Jean-Francois Bonbhel"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05903v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "In large-scale empirical risk minimization, a substantial fraction of per-iteration computation is spent on observations the model has already learned: their per-sample losses are small, their gradients a... |
arxiv | 2607.05898 | null | 1 | Auditing of Unlearning Algorithms | [
"Sahasrajit Sarmasarkar",
"Anastasia Koloskova",
"Sanmi Koyejo"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05898v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Machine unlearning is the task of removing the influence of specific training samples from an already-trained model, ideally yielding a model that behaves as if those samples had never been seen during tr... |
arxiv | 2607.05872 | null | 1 | No Subspace to Track: Non-Identifiability and Optimizer State in Low-Rank Training | [
"Noel Thomas"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05872v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Training large models is increasingly bottlenecked by optimizer memory: Adam stores two moments per parameter, doubling the footprint of the weights themselves. Low-rank gradient optimizers such as GaLore... |
arxiv | 2607.06609 | null | 1 | D2PO: Optimizing Diffusion Samplers via Dynamic Preference | [
"Jinkyu Kim",
"Jinyoung Choi",
"Bohyung Han"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06609v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Diffusion Probabilistic Models (DPMs) [ sohl2015deep , ho2020denoising , song2021scorebased ] have achieved unprecedented fidelity in high-resolution image synthesis, text-to-image generation [ rombach202... |
arxiv | 2607.05855 | null | 1 | Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns | [
"Sishun Liu",
"Sajal Halder",
"Ke Deng",
"Yan Wang",
"Xiuzhen Zhang"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05855v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "The development of Social Networks (SNs) enables fast dissemination of critical information, large-scale discussions, and joint actions about political and social issues because SNs connect people [ 6 ] .... |
arxiv | 2607.05791 | null | 1 | Boosting with List-Decodable Codes | [
"Addison Prairie",
"Li-Yang Tan"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05791v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Boosting is a celebrated method for systematically improving the accuracy of learning algorithms. Given black-box access to a weak learner —an algorithm that produces hypotheses with accuracy slightly bet... |
arxiv | 2607.05735 | null | 1 | Width-Robust Learnability in Mean-Field Bayesian Neural Networks | [
"Dmitry Vaintrob",
"Kaarel Hänni"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05735v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "A wide neural network generalizes far better than its parameter count would suggest, because its prior places more mass on simple, structured functions than on complex ones. Making this precise means iden... |
arxiv | 2607.05724 | null | 1 | Low-Overhead Error-Corrected QCNNs Using Bivariate Bicycle Codes | [
"Alejandro Rosales",
"Animesh Yadav"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05724v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "I Introduction"
},
{
"type": "para",
"text": "Advancements in machine learning (ML) have made it a crucial technology across various domains, from signal processing to healthcare, with applications such as speech recognition, computer vision, and dru... |
arxiv | 2607.06601 | null | 1 | TriRoute: Unified Learned Routing for Joint Adaptive Attention, Experts, and KV-Cache Allocation | [
"Andrii Balashov",
"Olena Ponomarova"
] | CC-BY-4.0 | https://arxiv.org/html/2607.06601v1 | 2026-07-07T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "The dominant cost of deploying large language models (LLMs) is incurred at inference, one token at a time, and it is remarkably uniform : a dense transformer spends the same floating-point operations and ... |
arxiv | 2607.05691 | null | 1 | Where to cut, how deep: BPE and Unigram-LM on chemistry SMILES | [
"Hunter Heidenreich"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05691v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Every chemical language model that operates on a SMILES string [ 53 ] begins with a tokenizer that maps it to integer IDs, fixing the vocabulary the model embeds, the granularity at which it operates, and... |
arxiv | 2607.05669 | null | 1 | Uncertainty-Aware Velocity Correction for Proprioceptive Vehicle Localization using Evidential Mamba | [
"Abinav Kalyanasundaram",
"Karthikeyan Chandra Sekaran",
"Wolfgang Utschick",
"Michael Botsch"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05669v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "I Introduction"
},
{
"type": "para",
"text": "Accurate localization is a key requirement for the safe and reliable operation of intelligent vehicles, enabling essential functions such as path planning, motion control, and automated driving [ 1 ] . In... |
arxiv | 2607.05663 | null | 1 | Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors | [
"Abinav Kalyanasundaram",
"Karthikeyan Chandra Sekaran",
"Wolfgang Utschick",
"Michael Botsch"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05663v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "I Introduction"
},
{
"type": "para",
"text": "Precise localization is crucial for the safe and reliable operation of autonomous vehicles. The knowledge about the ego vehicle’s pose acts as a foundation for critical downstream tasks such as path plann... |
arxiv | 2607.05658 | null | 1 | Integrating GNSS-Derived Zenith Wet Delay into a Weather Foundation Model Improves Precipitation Forecasting | [
"Leonardo Trentini",
"Fanny Lehmann",
"Laura Crocetti",
"Benedikt Soja"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05658v1 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": "Geophysical Research Letters"
},
{
"type": "para",
"text": "Institute of Geodesy and Photogrammetry, ETH Zurich, Switzerland ETH AI Center, ETH Zurich, Switzerland Computational and Applied Mathematics Laboratory, Seminar for Applied Mathematics, ETH Zurich, Switzerlan... |
arxiv | 2607.05653 | null | 1 | Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces | [
"Jeanie Schreiber",
"Tyrus Berry",
"Zeeshan Ahmed"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05653v1 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": "Principal Component Analysis or PCA-like properties (orthogonality, variance ranking) are seldom realized in deep autoencoder architectures. In this work, we present ODIN (Orthogonal Dendritic Intrinsic Network), a novel autoencoder architecture that recovers PCA-like latent struc... |
arxiv | 2607.05649 | null | 1 | REVIVE: A Multi-Modal Framework for Vandalism Detection and Recovery in Autonomous Vehicles | [
"Abdullah Tariq Choudhry",
"Tapadhir Das"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05649v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "I Introduction"
},
{
"type": "para",
"text": "The proliferation of autonomous vehicles (AVs) represents one of the most significant technological advances in modern transportation, with the global AV market projected to reach $980.7 billion by 2040 [... |
arxiv | 2607.05645 | null | 1 | Domain-Adaptive Climate Downscaling Under Temporal Distribution Shift | [
"Shuochen Wang",
"Nishant Yadav",
"Auroop R. Ganguly"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05645v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Global Climate Models (GCMs) are essential tools for understanding the Earth system, simulating historical climate variability, and projecting future climate change under different forcing scenarios. Desp... |
arxiv | 2607.05620 | null | 1 | Safe Bayesian Optimization with Counterfactual Policies | [
"Katherine Avery",
"Bruno Castro da Silva",
"David Jensen"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05620v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "In many sequential decision-making problems, we seek to improve performance while ensuring that each action is safe. We may define safety in absolute terms, such as keeping blood pressure below a threshol... |
arxiv | 2607.05615 | null | 1 | A Coin Flip Per Token: Bernoulli Sparse Steering of Large Language Models | [
"Nima Eshraghi",
"Lovedeep Gondara",
"Yuqing Huang",
"Sagarika Suresh",
"Leizer Teran",
"Jithin Pradeep",
"Xiaotong Xu",
"Fanny Chevalier"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05615v1 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": "A Coin Flip Per Token: Bernoulli Sparse Steering of Large Language Models"
},
{
"type": "para",
"text": "Nima Eshraghi 1 , Lovedeep Gondara 1 , Yuqing Huang 1 , Sagarika Suresh 1 , Leizer Teran 1 , Jithin Pradeep 1 , Xiaotong (Tone) Xu 2 , Fanny Chevalier 2 1 The Vangu... |
arxiv | 2607.05585 | null | 1 | Hierarchical Classification via Cascading Feature Elimination: Application to Human Phenotype Ontology-Aligned Facial Phenotyping (FaceMesh2HPO) | [
"Fabio Hellmann",
"Alexander Hustinx",
"Benjamin D. Solomon",
"GestaltMatcher Database Consortium",
"Tzung-Chien Hsieh",
"Peter Krawitz",
"Elisabeth André"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05585v1 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": "[1] \\fnm Fabio \\sur Hellmann"
},
{
"type": "para",
"text": "[1] \\orgdiv Chair for Human-centered Artificial Intelligence, \\orgname University of Augsburg, \\orgaddress \\street Universitätsstr. 6a, \\city Augsburg, \\postcode 86159, \\state Bavaria, \\country Germa... |
arxiv | 2607.05559 | null | 1 | EquiFiLM: Charge-Conditioned Equivariant Force Fields via Feature-wise Linear Modulation | [
"Samuel Sahel-Schackis",
"Ken-ichi Nomura",
"Aiichiro Nakano",
"Matthias F. Kling",
"Thomas Linker"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05559v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Atomistic simulation under continuous external control, conditioned by total charge, temperature, applied field, hydrostatic pressure or doping fraction, is central to electrochemistry, photochemistry, do... |
arxiv | 2607.05541 | null | 1 | Self-Review Reinforcement Learning (SRRL) with Cross-Episode Memory and Policy Distillation | [
"Muhammad Zain Amin",
"Kibele Sebnem Yildirim"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05541v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "These days, large language models (LLMs) are increasingly employed as decision-making agents in situations with delayed rewards and partial knowledge (Bai and others, 2026 ; Song et al. , 2026 ; Wang et a... |
arxiv | 2607.05394 | null | 2 | Weak-to-Strong Generalization via Direct On-Policy Distillation | [
"Shiyuan Feng",
"Huan-ang Gao",
"Haohan Chi",
"Hanlin Wu",
"Zhilong Zhang",
"Zheng Jiang",
"Bingxiang He",
"Wei-Ying Ma",
"Ya-Qin Zhang",
"Hao Zhou"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05394v2 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": "1]SIA-Lab of Tsinghua AIR and ByteDance Seed 2]Institute for AI Industry Research (AIR), Tsinghua University 3]Department of Computer Science and Technology, Tsinghua University 4]Peking University \\correspondence zhouhao@air.tsinghua.edu.cn \\projectpage https://bytedtsinghua-si... |
arxiv | 2607.05391 | null | 2 | LLM-as-a-Verifier: A General-Purpose Verification Framework | [
"Jacky Kwok",
"Shulu Li",
"Pranav Atreya",
"Yuejiang Liu",
"Yixing Jiang",
"Chelsea Finn",
"Marco Pavone",
"Ion Stoica",
"Azalia Mirhoseini"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05391v2 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": "Jacky Kwok <jackykwok@stanford.edu>"
},
{
"type": "para",
"text": "Abstract: Scaling pre-training, post-training, and test-time compute have become the central paradigms for improving the capabilities of large language models (LLMs). In this work, we identify verificat... |
arxiv | 2607.05369 | null | 1 | GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks | [
"Kaiyuan Chen",
"Shuangyu Xie",
"Letian Fu",
"Justin Yu",
"William Pacini",
"Sandeep Bajamahal",
"Hudson Kim",
"Jaimyn Drake",
"Daehwa Kim",
"Haoru Xue",
"Jonathan Francis",
"Christian Juette",
"Peter Schaldenbrand",
"Muhammet Yunus Seker",
"Ruwan Wickramarachchi",
"Uksang Yoo",
"Gua... | CC-BY-4.0 | https://arxiv.org/html/2607.05369v1 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": "Keywords: Agentic Coding, Automation, Self-Learning"
},
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "A majority of robot learning research focuses on generalist robotics, where a robot must perform a broad vari... |
arxiv | 2607.05353 | null | 1 | Selective Disclosure Watermarking for Large Language Models | [
"Xuyang Chen",
"Xiang Li",
"Yangxinyu Xie",
"Qi Long"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05353v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "The widespread adoption of large language models (LLMs) has fundamentally transformed content creation across many domains. Their ability to produce high-quality, human-like text at scale brings substanti... |
arxiv | 2607.05339 | null | 1 | TREK: Distill to Explore, Reinforce to Refine | [
"Yuanda Xu",
"Zhengze Zhou",
"Kayhan Behdin",
"Jelena Markovic-Voronov",
"Hejian Sang",
"Xiaomin Li",
"Wenhui Zhu",
"Xinchen Du",
"Aida Rahmattalabi",
"Ran He",
"Sen Na",
"Zhipeng Wang",
"Alborz Geramifard"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05339v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Distillation, curriculum learning, and reinforcement learning from verifiable rewards have become central tools for improving language-model reasoning (Hinton et al. , 2015 ; Kim and Rush, 2016 ; Bengio e... |
arxiv | 2607.05317 | null | 2 | Shape Over Intensity: Directional Topological Encoding for False Positive Reduction in Intracranial Aneurysm Detection | [
"Akshay Gokhale",
"Mansi Dhamne"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05317v2 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": ": \\theoremsep"
},
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "The automated detection of Intracranial Aneurysms (IAs) remains a critical challenge in machine learning for healthcare. IAs are abnormal, localiz... |
arxiv | 2607.05292 | null | 1 | Air Quality Downscaling with Station-Guided Pseudo-Supervision | [
"Guorun Wang",
"Simone Foti",
"Andreas D. Demou",
"Leonidas Kotoulas",
"Theodoros Christoudias",
"Alexandros Koliousis",
"Mihalis Nicolaou",
"Stefanos Zafeiriou"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05292v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Climate change is reshaping atmospheric conditions in ways that directly influence air quality through complex interactions between meteorology, atmospheric chemistry, and human activities. As climatic co... |
arxiv | 2607.05281 | null | 1 | Routing Anonymity and Identifiability of Noisy Quantum Hardware | [
"Ben Priestley",
"Mina Doosti"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05281v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "The prospect of quantum computation has long transitioned from a theoretical novelty to an active practical pursuit of useful quantum advantages across many different domains: cryptography and cryptanalys... |
arxiv | 2607.05483 | null | 1 | PatchOptic for Shared-State LLM Workflows with Projected Views and Verified Structured Updates | [
"Zhaoyu Bai",
"Jiaqi Cai"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05483v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Progressive disclosure is now common in agentic workflows. Because LLM context windows are limited, systems typically expose to each model invocation only the fragment of the full state needed for the cur... |
arxiv | 2607.05252 | null | 1 | FUSE: FK-Steered Multi-Modal Flow Matching for Efficient Simulation-Based Posterior Estimation | [
"Weichen Qin",
"Yufan Xie",
"Peihao Wang",
"Chia-Jui Chou",
"Minghui Du",
"Peng Xu",
"Ziren Luo",
"Yi Yang",
"Jingyi Yu",
"Bo Liang",
"Jiakai Zhang"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05252v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "The rapid evolution of generative models (Kingma and Welling, 2014 ; Lipman et al. , 2023 ; Ho et al. , 2020 ) has recently unlocked transformative capabilities in multi-modal domains, enabling seamless t... |
arxiv | 2607.05251 | null | 1 | Privacy-Preserving Robustness Verification for Neural Networks | [
"Nianyun Song",
"Xiaokun Luan",
"Yu Guo",
"Rongfang Bie",
"Meng Sun",
"Xiyue Zhang"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05251v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "The field of deep learning (DL) has experienced enormous growth recently, with deep neural networks (DNNs) now deployed in a variety of safety-critical applications, including medical diagnosis [Litjens e... |
arxiv | 2607.05481 | null | 1 | Full-range Binary Classifier Calibration for Stable Model Updates in Production | [
"Konstantin Berlin"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05481v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Detection models running in adversarial environments face a malicious distribution that drifts rapidly while the benign distribution stays comparatively stable. Teams therefore retrain and redeploy detect... |
arxiv | 2607.05230 | null | 1 | Video-based detection of cessation of breathing in pre-term infants using machine learning | [
"Dineo Serame",
"Lionel Tarassenko",
"Mauricio Villarroel"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05230v1 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": "Keywords: Apnoea of prematurity; neonatal intensive care; video-based respiratory monitoring; non-contact monitoring; machine learning; multimodal data fusion."
},
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "P... |
arxiv | 2607.05184 | null | 1 | Rethinking On-Policy Self-Distillation for Thinking Models | [
"Simran Kaur",
"Narutatsu Ri",
"Yinghui He",
"Liam Fowl",
"Sanjeev Arora"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05184v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "On-policy self-distillation (OPSD) has emerged as an exciting approach for self-improvement in language models (Zhao et al. , 2026 ; Shenfeld et al. , 2026 ; Hübotter et al. , 2026 ) . In this setting, a ... |
arxiv | 2607.05179 | null | 1 | Relational Multi-Agent Reinforcement Learning for Dynamic Pricing in High-Speed Railway Markets | [
"Enrique Adrian Villarrubia-Martin",
"David Muñoz-Valero",
"Luis Rodriguez-Benitez",
"Giovanni Montana",
"Luis Jimenez-Linares"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05179v1 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": "[affi1]organization=Department of Technologies and Information Systems, Universidad de Castilla-La Mancha, addressline=Paseo de la Universidad 4, city=Ciudad Real, postcode=13071, country=Spain"
},
{
"type": "para",
"text": "[affi2]organization=Department of Technologi... |
arxiv | 2607.05127 | null | 3 | Physically-Relevant Information Learning in High-Dimensional Time-Derivatives Spaces | [
"Domiziano Doria",
"Matteo Becchi",
"Giovanni M. Pavan"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05127v3 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": "Time derivatives | | High-dimensional space | | Complex systems | | Time-series analyses | | Information"
},
{
"type": "heading",
"level": 1,
"text": "Introduction"
},
{
"type": "para",
"text": "Deciphering the behavior of complex systems through their ... |
arxiv | 2607.05104 | null | 1 | Grokking Is Conditional and Fragile: A Fully-Tractable, Multi-Seed Study at 12K Parameters | [
"Yoshiyuki Ootani"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05104v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "A neural network can fit a small algorithmic dataset to perfect training accuracy and continue, for thousands of further steps, to generalize no better than chance, and then, abruptly, generalize almost p... |
arxiv | 2607.05098 | null | 1 | Functional Bilevel Optimization for Predictive Fairness | [
"Ieva Petrulionyte",
"Julien Mairal",
"Michael Arbel"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05098v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Predictive machine learning models are effective because they exploit statistical signals that reduce prediction error. Unfortunately, standard training does not distinguish between signals we want the mo... |
arxiv | 2607.05061 | null | 2 | KVpop -- Key-Value Cache Compression with Predictive Online Pruning | [
"Lukas Hauzenberger",
"Niklas Schmidinger",
"Anamaria-Roberta Hartl",
"David Stap",
"Thomas Schmied",
"Sebastian Böck",
"Günter Klambauer",
"Sepp Hochreiter"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05061v2 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Transformer-based large language models rely on a key–value ( KV ) cache to make autoregressive decoding efficient. At each generation step, the model stores the key and value representations of previous ... |
arxiv | 2607.05052 | null | 1 | Beyond Independent Labels: Schwartz-Geometry Decoding for Human Value Detection | [
"Víctor Yeste",
"Paolo Rosso"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05052v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Human values underlie moral, social, political, and cultural language, and detecting them in text supports work across NLP and computational social science. The task is commonly posed as sentence-level mu... |
arxiv | 2607.05025 | null | 2 | Uncertainty-aware damage identification in short-span bridges via physics-informed variational autoencoder | [
"Ana Fernandez-Navamuel",
"A. Javier Omella",
"Diego Zamora-Sanchez",
"David Pardo"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05025v2 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": "[1] \\fnm Ana \\sur Fernandez-Navamuel 1] \\orgname Basque Center for Applied Mathematics (BCAM), \\orgaddress \\city Bilbao, \\country Spain"
},
{
"type": "para",
"text": "2] \\orgname Departamento de Matematica Aplicada, Universidad de Zaragoza/IUMA, \\orgaddress \\c... |
arxiv | 2607.05013 | null | 1 | Knowledge Knows, Verbalization Tells: Disentangling Latent Directions for Mathematical Solvability in LLMs | [
"Nikolaos Xiros",
"Maria-Eleni Zoumpoulidi",
"Georgios Paraskevopoulos"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05013v1 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": "Knowledge Knows, Verbalization Tells: Disentangling Latent Directions for Mathematical Solvability in LLMs"
},
{
"type": "para",
"text": "Nikolaos Xiros † † thanks: Equal contribution. Author order determined by coin flip. Maria-Eleni Zoumpoulidi 1 1 footnotemark: 1 Ge... |
arxiv | 2607.04983 | null | 2 | LLM for the development of FCM | [
"Alexis Kafantaris"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04983v2 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "heading",
"level": 2,
"text": "1.1 LLM"
},
{
"type": "para",
"text": "One of the most recent advances in the scientific field is the large language model (LLM) technology. The LLM technology has redefined... |
arxiv | 2607.04978 | null | 1 | Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Control | [
"Ruslan Rakhimov",
"George Bredis",
"Yuriy Maksyuta",
"Daniil Gavrilov"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04978v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "A robot deployed for visuomotor control faces inference-time constraints (per-step latency, the size of the action search space, whether a goal observation can be supplied) that the training run cannot an... |
arxiv | 2607.04969 | null | 1 | Train Smarter, Not Longer: Memorization-Guided Data Reuse for Efficient LLM Training | [
"Jingwei Zuo",
"Cong Zeng",
"Ilyas Chahed",
"Maksim Velikanov",
"Dhia Eddine Rhaiem",
"Pasquale Balsebre",
"Abhay Kumar",
"Younes Belkada",
"Hakim Hacid"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04969v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Despite most LLMs were trained with a single epoch prior to 2024, recent advances in large language model (LLM) training rely heavily on multi-epoch training, in which training data are reused across epoc... |
arxiv | 2607.04926 | null | 1 | Input Pathways Shape Few-Shot, Not Zero-Shot, Binding in Tiny Transformers: A Fully-Enumerable Study | [
"Yoshiyuki Ootani"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04926v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "A transformer can receive the same fact in different ways. “The object on the right is a square” can arrive as words in the token stream, as a slot in a structured state vector, or as coordinates of an en... |
arxiv | 2607.04919 | null | 1 | When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters | [
"Nicholas Tan Jerome",
"Frank Simon"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04919v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "I Introduction"
},
{
"type": "para",
"text": "The landscape of time series forecasting is undergoing a paradigm shift. Foundation models—large neural networks pretrained on diverse time series corpora—promise to deliver accurate forecasts without tas... |
arxiv | 2607.04912 | null | 1 | Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction | [
"Johannes Kiechle",
"Richard Osuala",
"Daniel M. Lang",
"Stefan M. Fischer",
"Ivana Janíčková",
"Karim Lekadir",
"Julia A. Schnabel",
"Jan C. Peeken"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04912v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "With an estimated 2.3 million women diagnosed with breast cancer annually [ 24 ] , optimizing treatment remains a clinical priority where neoadjuvant chemotherapy (NACT) crucially enables early response a... |
arxiv | 2607.04856 | 10.1007/s10844-025-01010-x | 1 | Framework for Grouping Local Process Models | [
"Viki Peeva",
"Wil M. P. van der Aalst"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04856v1 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": "Postprint Notice This version of the article has been accepted for publication, after peer review but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: Peeva, V., van der Aalst, W.M.P. ... |
arxiv | 2607.04846 | null | 1 | Pretraining Curricula Enable Selective Fine-tuning | [
"Sebastian A. Bruijns",
"Jirko Rubruck",
"Mia H. Whitefield",
"Kai J. Sandbrink",
"Fazl Barez",
"Christopher Summerfield"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04846v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Neural networks trained with gradient descent learn representations in a progressive, stage-like manner [ 52 , 70 ] . Theoretical work has shown that neural networks learn linear before nonlinear function... |
arxiv | 2607.04800 | null | 1 | Compressed Computation under $L^4$ Loss is likely Computation in Superposition | [
"Francisco Ferreira da Silva",
"Stefan Heimersheim"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04800v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Neural networks are widely assumed to make use of superposition to represent more concepts than they have dimensions (Elhage et al. , 2022 ) . A natural follow-up is whether they also compute in superposi... |
arxiv | 2607.04782 | null | 1 | Predicting Drafted Deck Strength for "Magic: the Gathering" | [
"Tomas Rigaux",
"Hisashi Kashima"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04782v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "I Introduction"
},
{
"type": "para",
"text": "Complex games have long served as useful benchmarks for evaluating the capabilities of learning agents, as they offer clearly defined rules and measurable objectives. Collectible card games extend the sco... |
arxiv | 2607.04777 | null | 1 | Towards Personalized Differentially Private Learning for Decentralized Local Graphs | [
"Longzhu He",
"Peng Tang",
"Chaozhuo Li",
"Jinhu Fu",
"Litian Zhang",
"Li Sun",
"Philip S. Yu",
"Sen Su"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04777v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "I Introduction"
},
{
"type": "para",
"text": "Graph-structured data has become a fundamental data type in modern information systems, widely used to model complex relationships in social networks, mobile applications, and online platforms. In many re... |
arxiv | 2607.05469 | null | 1 | Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy | [
"Jingyun Zhang",
"Hao Peng",
"Jianxin Li",
"Angsheng Li",
"Philip S. Yu"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05469v1 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": "PVLDB Reference Format: PVLDB, 19(1): XXX-XXX, 2026. doi:XX.XX/XXX.XX † † This work is licensed under the Creative Commons BY-NC-ND 4.0 International License. Visit https://creativecommons.org/licenses/by-nc-nd/4.0/ to view a copy of this license. For any use beyond those covered ... |
arxiv | 2607.04733 | null | 1 | LP-SFT: Local-Preserving Supervised Fine-Tuning via Multimodal Entropy Structure | [
"Yueyang Wang",
"Baolong Bi",
"Shuo Lu",
"Jingyuan Zhang"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04733v1 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": "K eywords Supervised Fine-Tuning ⋅ \\cdot Catastrophic Forgetting ⋅ \\cdot Distribution Preservation ⋅ \\cdot Multimodal Entropy Structure"
},
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Supervised fine-tuning... |
arxiv | 2607.05467 | null | 1 | A Task-Driven Evaluation of UAV Detection and Tracking under Synthetic Fog | [
"Amir Pouladi",
"Vesal Ahsani",
"Haijun Li",
"Homayoun Najjaran",
"Afzal Suleman"
] | CC-BY-4.0 | https://arxiv.org/html/2607.05467v1 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": "Keywords: UAV detection; sense and avoid; adverse weather; synthetic fog; image dehazing; atmospheric scattering model; depth estimation; tracking-by-detection; deep learning; autonomous systems"
},
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{... |
arxiv | 2607.04647 | null | 1 | Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data | [
"Yuankang Zhao",
"Youngsoo Baek",
"Felipe A. Medeiros",
"Samuel Berchuck",
"Matthew M. Engelhard"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04647v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Bayesian Generalized Linear Mixed Models (GLMMs) are commonly used to analyze clustered and longitudinal outcomes (Breslow and Clayton, 1993 ) in clinical medicine and other high-stakes settings requiring... |
arxiv | 2607.04645 | null | 1 | Retroactive Chain-of-Thought (RetroCoT): Forensic Reconstruction Prompts as a Safety Diagnostic Across Model Generations | [
"Samira Hajizadeh"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04645v1 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Large language models (LLMs) are aligned to refuse harmful requests, but this alignment is not invariant to how those requests are expressed. We show that models which consistently refuse direct imperativ... |
arxiv | 2607.04581 | null | 2 | MTEB-BR: A Text Embedding Benchmark for Brazilian Portuguese | [
"Tardelli Ronan Coelho Stekel"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04581v2 | 2026-07-06T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "I Introduction"
},
{
"type": "para",
"text": "Brazilian Portuguese is spoken natively by over 200 million people, yet a practitioner who needs to deploy a sentence-embedding model for it, whether for semantic search, classification, or retrieval-augm... |
arxiv | 2607.04574 | null | 1 | A Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent Post-Training | [
"Junze Ye",
"Jiayi Cheng",
"Miao Lu",
"Michal Mankowski",
"Jose Blanchet",
"Mohsen Bayati"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04574v1 | 2026-07-06T00:00:00 | [
{
"type": "para",
"text": "RLxF: Reinforcement Learning from World Feedback"
},
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Supervised fine-tuning (SFT) trains a language-model agent by teacher forcing on labeled assistant turns (Willia... |
arxiv | 2607.04546 | null | 1 | Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models | [
"Riccardo O. Feingold",
"Davide Liconti",
"Chenyu Yang",
"Robert K. Katzschmann"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04546v1 | 2026-07-05T00:00:00 | [
{
"type": "para",
"text": "Keywords: World Models, Dexterous Manipulation, Simulation"
},
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "World models are increasingly used in robot learning [ 1 ] . In this setting, they commonly take two f... |
arxiv | 2607.04542 | null | 1 | Auto: The AGI Compiler | [
"Jaber Jaber",
"Osama Jaber"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04542v1 | 2026-07-05T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "An LLM agent that triages support tickets makes the same routing decision thousands of times a day, and pays a frontier model to re-derive it from scratch every single time. The tax is real money. We meas... |
arxiv | 2607.04541 | null | 1 | CRISP: A Spatiotemporal Camera-Radar Backbone for Driving via Forecasting-Based World-Model Pretraining | [
"Jingyu Song",
"Yi Liu",
"Katherine A. Skinner"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04541v1 | 2026-07-05T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "I Introduction"
},
{
"type": "para",
"text": "Autonomous vehicles (AVs) rely on perception systems to understand the surrounding environment and support downstream prediction and planning modules [ 1 , 2 , 3 , 4 , 5 ] . Common sensing modalities incl... |
arxiv | 2607.04527 | null | 2 | Causal ASCEND: Scalable Two-tier Causal Discovery on High Dimensional Multi-omics Data | [
"Stephen Asiedu",
"David Watson"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04527v2 | 2026-07-05T00:00:00 | [
{
"type": "para",
"text": "Bioinformatics \\DOI DOI HERE \\access Advance Access Publication Date: Day Month Year \\appnotes Paper"
},
{
"type": "para",
"text": "Asiedu et al."
},
{
"type": "para",
"text": "[ ∗ \\ast ]Corresponding authors. stephen.asiedu@kcl.ac.uk , david.watson@kcl... |
arxiv | 2607.04487 | null | 1 | Two Black Boxes, One Solver: Encoder Probing and Decoder Attribution for Neural Multi-Attribute VRP under Hard-Mask and Recourse Decoders | [
"Sohaib Afifi"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04487v1 | 2026-07-05T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "The Multi-Attribute Vehicle Routing Problem (MAVRP) packs several VRP variants into a single combinatorial problem: a single instance can simultaneously activate capacity, time-window, distance-limit, bac... |
arxiv | 2607.04478 | null | 1 | PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification | [
"Moshiur Rahman",
"Shafqat Alam",
"Tasnia Binte Mamun"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04478v1 | 2026-07-05T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "A large proportion of hospital admissions and mortality in the world are due to thoracic diseases, with conditions including pneumonia, pleural effusion, and cardiomegaly causing a long-term strain on pub... |
arxiv | 2607.04470 | null | 1 | Regime-Conditional Stabilisation of LLM-Augmented Cooperative Multi-Agent Reinforcement Learning | [
"Faid Keddouri",
"Sohaib Houhou",
"Aissa Boulmerka",
"Nadir Farhi"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04470v1 | 2026-07-05T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Cooperative multi-agent reinforcement learning (MARL) has produced strong team behaviour in complex coordination tasks through value-decomposition methods such as QMIX (Rashid et al. , 2018 ) and policy-g... |
arxiv | 2607.04464 | null | 2 | Operator-on-F complements value-equivalence: a planning-time diagnostic for latent world models | [
"Donna Vakalis"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04464v2 | 2026-07-05T00:00:00 | [
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "World-model evaluation in model-based reinforcement learning often treats two questions as equivalent: does the learned model predict reward and value well, and does it model the task’s dynamics well? Val... |
arxiv | 2607.04449 | null | 1 | Fields of the Planet: Field Boundary Mapping Beyond 10m | [
"Isaac Corley",
"Caleb Robinson",
"Jennifer Marcus",
"Hannah Kerner"
] | CC-BY-4.0 | https://arxiv.org/html/2607.04449v1 | 2026-07-05T00:00:00 | [
{
"type": "para",
"text": "research.taylorgeospatial.org/fields-of-the-planet"
},
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Field boundaries feed downstream pipelines for crop-yield estimation, irrigation accounting, subsidy verificat... |
arxiv | 2607.04443 | null | 3 | Wan-Streamer v0.2: Higher Resolution, Same Latency | [
"Lianghua Huang",
"Zhi-Fan Wu",
"Yupeng Shi",
"Wei Wang",
"Mengyang Feng",
"Junjie He",
"Chen-Wei Xie",
"Yu Liu",
"Jingren Zhou",
"Ang Wang",
"Bang Zhang",
"Baole Ai",
"Chen Liang",
"Cheng Yu",
"Chongyang Zhong",
"Jinwei Qi",
"Kai Zhu",
"Pandeng Li",
"Peng Zhang",
"Wenyuan Zhan... | CC-BY-4.0 | https://arxiv.org/html/2607.04443v3 | 2026-07-05T00:00:00 | [
{
"type": "para",
"text": "] See Contributions and Acknowledgements for the full author list."
},
{
"type": "para",
"text": "[Website] https://wan-streamer.com/"
},
{
"type": "heading",
"level": 1,
"text": "1 Introduction"
},
{
"type": "para",
"text": "Wan-Streamer v0... |
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