JackZebra performs long-horizon route hijacking of vision-based AVs by converting adversarial patches into online-selected steering primitives via closed-loop control from an attacker vehicle.
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representative citing papers
Fetal-Gauge benchmark shows state-of-the-art vision-language models reach only 55% accuracy on fetal ultrasound tasks, well below clinical needs and highlighting the requirement for domain-adapted models.
Derives non-asymptotic 2-norm and infinity-norm error bounds for deterministic and stochastic variants of OPTQ and Qronos PTQ algorithms.
A new 321-patient multi-center breast FNAC WSI dataset with 7398 patch-level C1-C5 annotations is released for AI-assisted classification research.
The cubic sum rule of S(q,ω) is tested as a kinetic energy estimator using PIMC data and dielectric models for the uniform electron gas, confirming consistency with thermodynamics but exposing flaws in semi-classical approximations.
STEMGym benchmark demonstrates that perception pipelines dominate dose efficiency in autonomous STEM over navigation methods across 33 agent setups.
A parton-shower-inspired local subtraction scheme for double-real corrections in color singlet decays is introduced, with finiteness verified for the e+e- to qqbar remainder and phase-space integrals computed analytically and via sector decomposition.
ColumnKeeper provides the first mitigations for ColumnDisturb using per-subarray counters or probabilistic refresh, with low overheads at 1M and 128K thresholds.
FAIR+S extends FAIR with sustainability metrics and is validated via expert survey confirming importance but revealing awareness gaps in green practices.
Proves sharp threshold on mutation parameter χ for (1+1)-EA on Dynamic Binary Value and Uniform weight dynamic linear problems, yielding O(n log n) runtime below threshold and 2^Ω(n) above, plus a second stagnation-distance threshold for the former.
POPSICLE introduces benchmark datasets for cryoET segmentation and localization built from the CryoET Data Portal.
First unified benchmark finds GLR family has only 3x median slowdown over LR(1) on deterministic grammars and is the fastest among generalized parsers.
Introduces ESAS benchmark dataset using LLM-assisted event injection into acoustic scenes, showing significant performance drops in existing ASC models.
Optimal SSB frame origin for LGWA cuts sampling time by 10x and tightens chirp mass and sky position constraints for stellar-mass binaries beyond LVK performance.
Randomized experiment finds AI draft assistance raises feedback provision by teaching assistants 10.8 percentage points without harming quality.
A matched-pair protocol and Accurate Differentiation Rate metric reveal that conventional LLM accuracy on SAT problems is often inflated by over-predicting satisfiability, while cross-representation agreement exceeds 80 percent for most models.
A new greedy rebalancing algorithm for multi-constraint hypergraphs, integrated into Mt-KaHyPar, reduces geometric mean connectivity by 11.5% versus Metis while improving partition balance reliability.
mcp-attested adds attested admission to MCP via signed clearance assertions at a well-known URI, deny-by-default tool allowlists, and gated enforcement that turns warnings into hard denials with tamper-evident logs.
Bayesian optimization identifies cement-salt hydrate composites achieving up to five times higher specific energy than prior cement-based TCES materials, with LiCl-based formulations reaching 458 kJ/kg.
FLDD learns non-Markovian marginal and posterior distributions for the forward process so a factorized reverse process can match the target better and produce higher-quality samples in fewer steps.
Human face perception aligns with neural networks trained on inverse-generative and naturalistic discriminative tasks, as these best predict human dissimilarity judgments on controversial and random face pairs.
An SMT-based active learning algorithm learns minimal nondeterministic weighted automata over arbitrary semirings, with partial correctness proofs, a sufficient termination condition, and experiments showing smaller models and fewer queries than baselines.
Rabi coupling allows a third component to join a self-bound binary quantum droplet in Bose gases, stabilized by finite detuning despite added repulsive forces.
FDA-QC combines functional data analysis of curves with quasi-conformal mappings to register and analyze both boundaries and interiors of planar biological shapes for morphing and variation studies.
citing papers explorer
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CodeT5+: Open Code Large Language Models for Code Understanding and Generation
CodeT5+ is a flexible encoder-decoder LLM family for code pretrained with diverse objectives on multilingual corpora and initialized from existing LLMs, achieving state-of-the-art results on code generation, completion, math programming, and retrieval tasks including new SoTA on HumanEval with the 1
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BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BLOOM is a 176B-parameter open-access multilingual language model trained on the ROOTS corpus that achieves competitive performance on benchmarks, with improved results after multitask prompted finetuning.
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Evolving finite elements for advection diffusion with an evolving interface
Develops an evolving finite element method for parabolic PDEs with evolving interfaces, derives a suitable weak formulation, proves optimal error bounds for isoparametric elements of arbitrary order, and verifies convergence numerically.
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The population of merging compact binaries inferred using gravitational waves through GWTC-3
GWTC-3 yields BNS merger rates of 10-1700 Gpc^{-3} yr^{-1}, NS-BH rates of 7.8-140, BBH rates of 17.9-44 at z=0.2 with (1+z)^{2.9} evolution, plus mass distributions showing peaks at chirp masses 8.3 and 27.9 solar masses and a sharp drop after the neutron-star maximum mass.
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A closed-loop all-electronic pixel-wise adaptive imaging system for high dynamic range video
A closed-loop pixel-wise adaptive exposure CMOS system for HDR video implemented with all-electronic control.
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Self Multi-Head Attention for Speaker Recognition
Self multi-head attention applied after CNN encoding of spectrograms outperforms temporal and statistical pooling for speaker verification on VoxCeleb1 with 18% relative EER reduction.
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Pointer-CAD v2: Plan-Then-Construct CAD Generation with Dimension-Aware Parametric Precision
Pointer-CAD v2 decouples planning from construction in LLM-based CAD generation by using a pointer mechanism to reference continuous parameters from a design plan, paired with new hierarchical accuracy metrics.
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Syntactic Separation Implies Computational Indistinguishability: An Abstract Obstruction Theorem
Syntactic separation of Skolem functions in local systems implies computational indistinguishability with Omega(n) or Omega(2^n) derivation lower bounds, presented as an abstract obstruction governing Natural Proofs, Type Omitting Theorem, and AC^0 barriers.
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Same Scrutiny, More Time: Eye Tracking Insights into Reviewing LLM-Labelled Code
Eye-tracking experiment finds that labeling code as LLM-generated increases fixation time without changing review thoroughness, with reviewers adapting criteria or using the prompt.
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Proximity-Induced Spin Reorientation in Monolayer CrI$_3$ on Hexagonal WTe$_2$
WTe2 proximity reorients CrI3 monolayer spins in-plane by shifting the balance between symmetric anisotropic exchange and onsite anisotropy, increasing ordering temperature.
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TrOCR for Medieval HTR: A Systematic Ablation Study with Cross-Dataset Validation
Systematic ablation of TrOCR fine-tuning for medieval HTR finds that freezing up to three encoder or six decoder layers does not significantly harm accuracy and that removing CLAHE contrast normalization yields comparable 7.84% CER on the Cortonese manuscript.
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Impact of the Einstein Telescope's duty cycle on the estimation of binary black holes parameters
ET-Δ outperforms ET-2L on luminosity distance and source-frame masses for BBH events because its redundancy produces higher multi-detector uptime under realistic duty-cycle modeling.
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Work Stealing for the 2D-Mesh Topology of Satellite Constellations in Low Earth Orbit
Neighbor-only work stealing for 2D-mesh satellite constellations yields growing per-attempt latency advantages and performs within 2.2% of global stealing on emulated workloads.
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Embedded Trefftz DG method for steady Navier-Stokes flow. Part II: Nonlinear problem
An embedded Trefftz-DG method for nonlinear steady Navier-Stokes proves existence, uniqueness, and Picard convergence under resolution and small-data assumptions while inheriting a priori error bounds from standard DG analysis.
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Profy: Interpretable Visualization of Expertise-Dependent Motor Skills Toward Supporting Piano Practice
Profy uses take-level expert-amateur labels on 1083 piano recordings to produce time-aligned highlight scores that correlate with expert review points (r=0.61) on held-out amateur clips.
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A Variability-Based Framework for Interpretable Naming in Formal and Relational Concept Analysis
Presents a configurable variability-based framework for LLM-assisted naming of formal concepts in FCA and RCA, illustrated on a small pizzeria relational dataset.
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FXplorer: A Map-Based Interface for Exploratory Audio Effect Design
FXplorer organizes audio effects in a perceptually informed 2D space with ML embeddings for similarity and semantic search, combining spatial browsing with DAW-style controls for interactive editing and interpolation.
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BiEAR: A Human Auditory-Inspired Adaptive Binaural Front-end for Multi-Speaker Localisation and Distance Estimation
BiEAR adaptively tunes binaural auditory filterbanks via a neural controller to improve multi-speaker localisation and distance estimation over fixed front-ends in anechoic and real rooms.
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Effect of isotropic errors on the complexity of Grover's algorithm
Numerical simulations indicate isotropic errors degrade Grover's algorithm performance and success probability on noisy quantum hardware.
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Mathematical framework for perception-driven parameter choice in image denoising
Authors create psychometrically scaled image sets from human tests on denoised photos and provide a HaarPSI threshold for choosing denoising parameters based on perceived similarity.
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EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture
EVA is a vector-quantization hardware architecture that transforms LLM decoding from GEMV to GEMM via direct codebook dot products and conflict-free output buffering, claiming up to 11.17x speedup over prior lookup designs.
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Optimal Non-Asymptotic Edgeworth Expansions for Multivariate Neural Network Outputs
Proves total variation distance between finite neural network output laws and their order-(4m-1) Edgeworth approximations is O(n^{-m}) with matching lower bounds, under invertible covariance and polynomially bounded activations; extends to conditionally Gaussian sequences.
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Achieving Material Robustness via Symmetric Stress Finite Element Discretizations
Strong enforcement of symmetry in H(div)-conforming finite elements yields material-robust stress approximations independent of the constitutive law, whereas weak enforcement produces arbitrarily poor results even in zero-stress cases with anisotropic laws.
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Hypergraph Partitioning on GPU with Distinct Incident Hyperedges and Size Constraints
GPU algorithm for hypergraph partitioning with size and distinct hyperedge constraints achieves 380x speedup and 1.2-2.0x better connectivity than sequential methods.
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Rethinking the Good Enough Embedding for Easy Few-Shot Learning
Frozen DINOv2-L features with k-NN classification and PCA/ICA refinement achieve state-of-the-art few-shot performance on four benchmarks without any backpropagation or fine-tuning.
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ReproScore: Separating Readiness from Outcome in Research Software Reproducibility Assessment
ReproScore separates readiness (26 static sub-metrics) from outcome (execution probes) and shows near-zero correlation between them on 423 repositories, validating the separation.
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Symmetry in the Wild: The Role of Equivariance in Neural Fluid Surrogates
Explicit E(3)-equivariance in neural CFD surrogates improves generalization on diverse-geometry hemodynamics benchmarks but degrades in-distribution performance on strongly aligned aerodynamics data, consistently beating data augmentation.
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On the Distortion of Partitioning Performance by Random Quantum Circuits
Random quantum circuits distort hypergraph partitioning evaluations by inflating cut costs and altering strategy rankings, while structured generated circuits more closely match real algorithmic workload behavior.
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Influence of Heterogeneity on the Response of Architected Metamaterials
Stochastic material heterogeneity modeled with Gaussian random fields in a nonlocal framework fundamentally changes phase nucleation, localization, and macroscopic mechanical response in architected metamaterials.
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How Do Software Engineering Students Use Generative AI in Real-World Capstone Projects? An Empirical Baseline Study
This empirical baseline study characterizes generative AI usage across the software lifecycle in capstone projects, student-recommended responsible practices, and client expectations for understanding and quality.
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Delving into the depths of NGC 3783 with XRISM: V. Broad-band modeling of ionized outflows
New 2024 observations of NGC 3783 show the warm absorbers have 1.5 times higher total column density, with structural changes including a tripling in the dominant component, indicating significant evolution over 24 years.
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Reliability of AI Bots Footprints in GitHub Actions CI/CD Workflows
Large-scale analysis of AI bot PRs shows Copilot and Codex achieve the highest CI/CD success rates but more frequent AI contributions correlate with reduced workflow reliability.
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Fairness-First Design Thinking for Software Architecture
A fairness-first Design Thinking method is proposed and tested in software architecture education to systematically address hidden fairness issues in digital systems.
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Three ways to share a QPU: Scheduling strategies for hybrid Quantum-HPC applications
Three scheduling strategies for hybrid quantum-HPC systems cut classical resource use by up to 64% or boost QPU utilization depending on workload balance, validated on real hardware.
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ToxiShield: Promoting Inclusive Developer Communication through Real-Time Toxicity Filtering
ToxiShield delivers a real-time GitHub extension with a BERT toxicity detector at 98% accuracy, a Claude-based coach, and a fine-tuned Llama reframer at 95% style transfer accuracy, validated by a 10-person TAM study.
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From transient shocks to unexpected outcomes: disruptive drivers in scenario pathways
Extends established CIB analysis by defining four run types that emphasize one-off shocks, extremes under alternative regimes, widening influence-structure uncertainty, and exogenous shocks as a baseline for decarbonisation pathways.
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Planet-induced Periodic Modulation of Stellar Activity in GJ~436: Insights into a Warm Neptune's Magnetic Field
Long-term spectroscopy of GJ 436 shows activity modulated by the planet's orbit, yielding a 6-110 G estimate for the warm Neptune's magnetic field via a new geometrical model.
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Risk mapping novel respiratory pathogens with large-scale dynamic contact networks
A Dutch population-scale actor model on registry-derived contact networks shows western urban municipalities as key drivers of novel respiratory pathogen spread and quantifies effects of symptomatic isolation and travel restrictions.
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Phase Transitions in Collective Damage of Civil Structures under Natural Hazards
Urban structural damage shows phase transitions and critical regimes via a random-field Ising model, with common modeling practices biasing risk metrics by up to 50% under moderate earthquakes.
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Quasinormal mode/grey-body factor correspondence for Kerr black holes
WKB analysis of the Teukolsky equation establishes a quasinormal-mode to greybody-factor correspondence for Kerr black holes that holds in the eikonal limit for gravitational perturbations and matches numerics at high angular momentum.
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Knobs and dials of retrieving JWST transmission spectra. II. Impacts of pipeline-level differences on retrieval posteriors
Retrieval posteriors for WASP-39 b differ between transmission spectra reduced from identical JWST raw data, producing stable Gaussian distributions for well-constrained species like H2O and CO2 but unstable heavy-tailed distributions for species like SO2 and C2H2.
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Stochastic simulation of partial discharge inception
Monte Carlo method simulates electron avalanches with feedback to estimate discharge inception probability and time lag per initial electron position across 2D and 3D electrode geometries.
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BABY 1L: First Tritium Breeding Campaign Results
BABY 1L reports a six-fold higher measured Tritium Breeding Ratio than the prior 100 mL campaign, with experimental values in good agreement with OpenMC simulations and diffusion-limited release dynamics identified.
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Systematic errors in fast relativistic waveforms for Extreme Mass Ratio Inspirals
For high-spin Kerr circular orbits, l_max >=30 and Chebyshev interpolation with global relative flux error matching the mass ratio yield mismatches below 10^{-3} and negligible parameter biases in 4-year EMRI signals with SNR ~100.
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AVEX: What Matters for Animal Vocalization Encoding
Large empirical study finds self-supervised pre-training then supervised post-training on mixed bioacoustics and general audio data produces the strongest encoders across 26 datasets for species classification, detection, individual ID and repertoire discovery.
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AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data
AlphaEarth Foundations produces general geospatial embedding fields that consistently outperform other featurization methods on diverse mapping tasks from sparse labels and releases annual global layers for 2017-2024.
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Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data
GP15 maps BBH spectrograms to parameter posteriors via residual networks and normalizing flows, producing results consistent with LVK analyses on GWTC-2.1 and GWTC-3 events while running in seconds.
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Artificial Intelligence in Number Theory: LLMs for Algorithm Generation and Ensemble Methods for Conjecture Verification
LLM reaches >=0.95 accuracy on 60 number theory problems with optimal hints; LightGBM classifier empirically supports Dirichlet conductor conjecture via zero features at 93.9% test accuracy for small q.
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OpDiffer: LLM-Assisted Opcode-Level Differential Testing of Ethereum Virtual Machine
OpDiffer applies LLMs and static analysis to opcode-level differential testing of EVMs, reporting 26 previously unknown bugs across nine implementations along with coverage gains and an estimate that 7.21% of real contracts could trigger the bugs.
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Surgical Visual Understanding (SurgVU) Dataset
Releases the SurgVU dataset of surgical videos and labels to enable machine learning research in surgical data science.