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Every paper Pith has read. Search by title, abstract, or pith.
506 papers in cs.CE · page 9
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GLUE coordinates frozen generators for feasible UAV designs
GLUE: Coordinating Pre-Trained Generative Models for System-Level Design
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Port-Hamiltonian structure preserved in Cosserat rod discretization
Mixed formulation and structure-preserving discretization of Cosserat rod dynamics in a port-Hamiltonian framework
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Transfer learning cuts high-fidelity structural models to 20 samples
Transfer Learning-Based Surrogate Modeling for Nonlinear Time-History Response Analysis of High-Fidelity Structural Models
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Dataset lifts AI literature review quality by 25 percent
SciNet: Evaluating AI Agents in Relation-Aware Scientific Literature Retrieval
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Benchmark shows AI passes only 38% of real finance workflows
Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflows
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Embeddings fail to improve financial sentiment classification on small data
Comparative Evaluation of Embedding Representations for Financial News Sentiment Analysis
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FiLM DeepONet forecasts composite deformation from cure cycles
Probabilistic Predictions of Process-Induced Deformation in Carbon/Epoxy Composites Using a Deep Operator Network
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A new optimization framework generates sustainable crop rotation patterns that increase…
Robust Crop Planning under Uncertainty: Aligning Economic Optimality with Agronomic Sustainability
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Refinement turns production envelopes into executable schedules
From Production Envelopes to Executable Schedules: Sound Constructive Refinement for High-Mix Manufacturing
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Differentiable framework co-optimizes polypill geometry and composition
PILL-CoDe: Inverse Design of Polypills via Automatic Differentiation for Prescribed Drug-Release Kinetics
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GNN generalizes material networks to new crystal textures
A Texture-Generalizable Deep Material Network via Orientation-Aware Interaction Learning for Polycrystal Modeling and Texture Evolution
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GPU algorithm voxelizes complex meshes in adaptive octree grids on device
GPU-native Embedding of Complex Geometries in Adaptive Octree Grids Applied to the Lattice Boltzmann Method
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Micropolar models enable flexomagnetism in centrosymmetric materials
Cosserat micropolar and couple-stress elasticity models of flexomagnetism at finite deformations
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Angle optimization matches spline results for FDM nozzle pressure loss
Numerical Optimization of Planar Nozzle Shapes for Fused Deposition Modeling
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Constraint embedding lifts QAOA feasible mass exponentially for permutations
Fundamental Limitations of QAOA on Constrained Problems and a Route to Exponential Enhancement
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Random sampling reference shows few optimizers excel on engineering tasks
Randomness as Reference: Benchmark Metric for Optimization in Engineering
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Single sensitivity index ranks each parameter over entire efficiency map
Multivariate Sensitivity Analysis of Electric Machine Efficiency Maps and Profiles Under Design Uncertainty
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Training-free prompts rank third on financial retrieval benchmark
PRISM: Prompt-Refined In-Context System Modelling for Financial Retrieval
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Neural policies control PDEs four orders faster than MPC
Learning to Control PDEs with Differentiable Predictive Control and Time-Integrated Neural Operators
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Sketching matches in-situ compression to offline performance
In Situ Training of Implicit Neural Compressors for Scientific Simulations via Sketch-Based Regularization
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Framework standardizes head-to-head tests of scientific ML algorithms
Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms
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Clustering before attribution picks best sensors amid correlations
Data-driven Sensor Placement for Predictive Applications: A Correlation-Assisted Attribution Framework (CAAF)
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Bank statements lift MSME credit accuracy by 24.6 percent
AI-BAAM: AI-Driven Bank Statement Analytics as Alternative Data for Malaysian MSME Credit Scoring
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Jump-diffusion kernel acts like Black-Scholes for prediction markets
Toward Black Scholes for Prediction Markets: A Unified Kernel and Market Maker's Handbook
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Single RL agent learns stock trading by calling tools on demand
AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading
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Space-time access boosts after-work leisure participation
Space-time accessibility supports participation in after-work leisure activities
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One biaxial test recovers myocardial parameters with uncertainty
Unsupervised full-field Bayesian inference of orthotropic hyperelasticity from a single biaxial test: a myocardial case study
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New corpus labels 3.3 million Chinese policy paragraphs with clarity taxonomy
CAPC-CG: A Large-Scale, Expert-Directed LLM-Annotated Corpus of Adaptive Policy Communication in China
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First dataset labels 3.3M Chinese policy paragraphs for clarity and ambiguity
CAPC-CG: A Large-Scale, Expert-Directed LLM-Annotated Corpus of Adaptive Policy Communication in China
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Benchmark Reveals LLMs Fall Short on Structured Financial Auditing
FinAuditing: A Financial Taxonomy-Structured Multi-Document Benchmark for Evaluating LLMs
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Markovian Reeb Graphs simulate realistic human mobility paths
Markovian Reeb Graphs for Simulating Spatiotemporal Patterns of Life
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AI links molecules to food function and taste
Artificial Intelligence for Food Innovation
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Latency Incentives Cluster Ethereum Validators Geographically
Geographical Centralization Resilience in Ethereum's Block-Building Paradigms
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Guided visual interpolations open high-dimensional parameter spaces
Parameter Space Analysis through Guided Visual Interpolations
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Token-level routing embeds computation experts in LLMs
PiERN: Token-Level Routing for Integrating High-Precision Computation and Reasoning
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CVRP unlikely for early quantum utility on NISQ hardware
Requirements for Early Quantum Utility and Quantum Utility in the Capacitated Vehicle Routing Problem
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Hybrid ATR-biomass cuts zero-emission SAF cost to $2.38/kg
Superstructure Optimization with Embedded Neural Networks for Sustainable Aviation Fuel Production
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Level-set isogeometric optimization skips remeshing
Isogeometric Topology Optimization Based on Topological Derivatives
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Neural net with hard constraints predicts mixture energies from binary data
Thermodynamically consistent machine learning model for excess Gibbs energy
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Neptune recovers PDE parameters from 45 measurements
Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements
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Level-set tuning improves mass conservation for 3D printing simulations
Mass conservation analysis of extrusion-based 3D printing simulations based on the level-set method
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Adaptive MOO acquisition meets reliability error targets efficiently
Balancing the exploration-exploitation trade-off in active learning for surrogate model-based reliability analysis via multi-objective optimization
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Semantic boost lets LLMs forecast time series better
Semantic-Enhanced Time-Series Forecasting via Large Language Models
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Topology mask boosts electricity price forecasts across Europe
PriceFM: Foundation Model for Probabilistic Electricity Price Forecasting
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LLM predicts molecule structures from combined spectra
SpectraLLM: Uncovering the Ability of LLMs for Molecular Structure Elucidation from Multi-Spectral Data
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KEDAS enables real-time knowledge editing in language models
Aligning Language Models with Real-time Knowledge Editing
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Functional group labels lift LLM chemistry reasoning to frontier level
ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge
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Algebraic sentences let diffusion models design metamaterial shells
Algebraic Language Models for Inverse Design of Metamaterials via Diffusion Transformers
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Dataset logs 456k real pull requests from five AI coding agents
The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering
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Model spots institutions, bots and retail in Treasury tokens
Decoding RWA Tokenized U.S. Treasuries: Functional Dissection and Address Role Inference