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The paper introduces DataClawEval, a benchmark that tests autonomous LLM agents on end-to-end data engineering tasks across multiple production-grade SQL and Spark engines using de…

Publications (426)

Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material

KRAIL: A Knowledge-Driven Framework for Base Human Reliability Analysis Integrating IDHEAS and Large Language Models

Stein's method for asymmetric I^±-stable distributions, with application to the stable CLT

Magnetic phase transitions in the triangular-lattice spin-1 dimer compound K2Ni2(SeO3)3

Robust optimization Design of a New Combined Median Barrier Based on Taguchi method and Grey Relational Analysis

Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions

LEVDA: Latent Ensemble Variational Data Assimilation via Differentiable Dynamics

In-plane optically tunable magnetic states in 2D materials via tailored femtosecond laser driving

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness

Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training

Synthesize Boundaries: A Boundary-aware Self-consistent Framework for Weakly Supervised Salient Object Detection

Flip: Data-Centric Edge CGRA Accelerator

Subnatural-linewidth biphotons from a Doppler-broadened hot atomic vapor cell

Dimension reduction for derivative-informed operator learning: An analysis of approximation errors

TEngineDB-V: An OLAP-Native Vector Search System for Large-k Workloads at Tencent

Orbital textures and evolution of correlated insulating state in monolayer 1T phase transition metal dichalcogenides

Toward Robust and Efficient ML-Based GPU Caching for Modern Inference

Thermodynamic Geometry of the Born-Infeld-anti-de Sitter black holes

All Optical Neural Network with Nonlinear Activation Functions

dbMPIKT: A web resource for the kinetic and thermodynamic database of mutant protein interactions

Derivative-enhanced Deep Operator Network

Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning

Tailoring Hybrid Anomalous Hall Response in Engineered Magnetic Topological Insulator Heterostructures

Structured Binary Neural Networks for Image Recognition

CP Symmetries as Guiding Posts: Revamping Tri-Bi-Maximal Mixing-I

Efficient DOA Estimation Method for Reconfigurable Intelligent Surfaces Aided UAV Swarm

Matrix Engines for High Performance Computing:A Paragon of Performance or Grasping at Straws?

HunyuanVideo 1.5 Technical Report

GazeGaussian: High-Fidelity Gaze Redirection with 3D Gaussian Splatting

Efficient production of a narrow-line erbium magneto-optical trap with two-stage slowing

The commutators of Bochner-Riesz Operators for Hermite operator

Learning Video Salient Object Detection Progressively from Unlabeled Videos

Efficient Agentic Reinforcement Learning with On-Policy Intrinsic Knowledge Boundary Enhancement

Precision limit under weak coupling with an ancillary qubit

ProSPy: A Profiling-Driven SQL-Python Agentic Framework for Enterprise Text-to-SQL

PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications

Warped flavor symmetry predictions for neutrino physics

Criterion for qubit-assisted quantum metrology approaching Heisenberg scaling

FalconGEMM: Surpassing Hardware Peaks with Lower-Complexity Matrix Multiplication

Sharp spectral multipliers without semigroup framework and application to random walks

A Link-Based Flow Model with Turn-Level Queue Transmission and Time-Varying Free-Flow Speed for Urban Road Networks

URGLQ: An Efficient Covariance Matrix Reconstruction Method for Robust Adaptive Beamforming

Taylor approximation for chance constrained optimization problems governed by partial differential equations with high-dimensional random parameters

A Dynamic YOLO-Based Sequence-Matching Model for Efficient Coverless Image Steganography

Broad-Wavevector Spin Pumping of Flat-Band Magnons

Empowering Time Series Analysis with Large-Scale Multimodal Pretraining

On maximal functions generated by HÃ¶rmander-type spectral multipliers

Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans

Laser Driven Bulk-to-Layered Phase Transition

The Garnett-Jones Theorem on BMO spaces associated with operators and applications

Transfer learning discovery of molecular modulators for perovskite solar cells

"Tab, Tab, Bug": Security Pitfalls of Next Edit Suggestions in AI-Integrated IDEs

Voltage-Controlled Magnon Transistor via Tunning Interfacial Exchange Coupling

Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems

Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing

Distinguishing Individual Red Pandas from Their Faces

Sequential Bayesian Optimal Experimental Design in Infinite Dimensions via Policy Gradient Reinforcement Learning

Compactness of the Bloom sparse operators and applications

Efficient Re-parameterization Residual Attention Network For Nonhomogeneous Image Dehazing

Thickness-Driven Quantum Anomalous Hall Phase Transition in Magnetic Topological Insulator Thin Films

Strain-controlled Insulator-Metal Transition in YTiO3/SrTiO3 Superlattices: A First-Principles Study

ArSMART: An Improved SMART NoC Design Supporting Arbitrary-Turn Transmission

Locating the Long-range Contact Centers with B-factors and Hydrophobic Cores

Using Adamic-Adar Index Algorithm to Predict Volunteer Collaboration: Less is More

LI-Net: Large-Pose Identity-Preserving Face Reenactment Network

Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt)

Approximation to the stable law by Lindeberg principle

Visualizing modified spin-wave wavefronts near magnetic defects and domains using nitrogen-vacancy centers

STAR: Boosting Time Series Foundation Models for Anomaly Detection through State-aware Adapter

Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation

CausalRCA: Causal Inference based Precise Fine-grained Root Cause Localization for Microservice Applications

Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty

Frequency-Bin Entanglement with Tunable Phase

TIGER: Text-Instructed 3D Gaussian Retrieval and Coherent Editing

Learning pseudo-contractive denoisers for inverse problems

Optimal design of chemoepitaxial guideposts for directed self-assembly of block copolymer systems using an inexact-Newton algorithm

Range-Angle Estimation for FDA-MIMO System With Frequency Offset

FATNN: Fast and Accurate Ternary Neural Networks

Classifying CP transformations according to their texture zeros: theory and implications

Stein's method for asymmetric $I^\pm$ -stable distributions, with application to the stable CLT

TEngineDB-V: An OLAP-Native Vector Search System for Large- $k$ Workloads at Tencent