Imagen de Portada

Automating Forecasting Question Generation and Resolution for AI Evaluation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Bosse, Nikos I., Mühlbacher, Peter, Wildman, Jack, Phillips, Lawrence, Schwarz, Dan
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Bench to the Future: A Pastcasting Benchmark for Forecasting Agents
por: FutureSearch, et al.
Publicado: (2025)

Deep Research Bench: Evaluating AI Web Research Agents
por: FutureSearch, et al.
Publicado: (2025)

Evaluating Strategic Reasoning in Forecasting Agents
por: Liptay, Tom, et al.
Publicado: (2026)

Towards a Realistic Long-Term Benchmark for Open-Web Research Agents
por: Mühlbacher, Peter, et al.
Publicado: (2024)

Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data
por: Symeonidis, Charalampos, et al.
Publicado: (2024)

AI-Assisted Generation of Difficult Math Questions
por: Shah, Vedant, et al.
Publicado: (2024)

Automating Computational Design with Generative AI
por: Ploennigs, Joern, et al.
Publicado: (2023)

Human-Centered Evaluation of XAI Methods
por: Dawoud, Karam, et al.
Publicado: (2023)

Automated Conjecture Resolution with Formal Verification
por: Ju, Haocheng, et al.
Publicado: (2026)

EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection
por: Qiu, Zihang, et al.
Publicado: (2024)

Multiple-Resolution Tokenization for Time Series Forecasting with an Application to Pricing
por: Peršak, Egon, et al.
Publicado: (2024)

Automated Spatio-Temporal Weather Modeling for Load Forecasting
por: Keisler, Julie, et al.
Publicado: (2024)

Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting
por: Tran, Nhat Thanh, et al.
Publicado: (2023)

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice
por: Li, Yuanpeng, et al.
Publicado: (2025)

A Multi-scenario Attention-based Generative Model for Personalized Blood Pressure Time Series Forecasting
por: Wan, Cheng, et al.
Publicado: (2024)

Skillful High-Resolution Ensemble Precipitation Forecasting with an Integrated Deep Learning Framework
por: He, Shuangshuang, et al.
Publicado: (2025)

SAFE: A Novel Approach to AI Weather Evaluation through Stratified Assessments of Forecasts over Earth
por: Masi, Nick, et al.
Publicado: (2025)

Toward an Evaluation Science for Generative AI Systems
por: Weidinger, Laura, et al.
Publicado: (2025)

Articulated Animal AI: An Environment for Animal-like Cognition in a Limbed Agent
por: Lucas, Jeremy, et al.
Publicado: (2024)

Filter then Attend: Improving attention-based Time Series Forecasting with Spectral Filtering
por: Dayag, Elisha, et al.
Publicado: (2025)

Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
por: Xu, Wanghan, et al.
Publicado: (2024)

A Lightweight DL Model for Smart Grid Power Forecasting with Feature and Resolution Mismatch
por: Al-Shareeda, Sarah, et al.
Publicado: (2025)

QUIS: Question-guided Insights Generation for Automated Exploratory Data Analysis
por: Manatkar, Abhijit, et al.
Publicado: (2024)

AI-Driven Forecasting and Monitoring of Urban Water System
por: Guo, Qiming, et al.
Publicado: (2025)

Tailored Architectures for Time Series Forecasting: Evaluating Deep Learning Models on Gaussian Process-Generated Data
por: Hankemeier, Victoria, et al.
Publicado: (2025)

Seg-MoE: Multi-Resolution Segment-wise Mixture-of-Experts for Time Series Forecasting Transformers
por: Ortigossa, Evandro S., et al.
Publicado: (2026)

Concept-driven Off Policy Evaluation
por: Majumdar, Ritam, et al.
Publicado: (2024)

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases
por: Tiwari, Yash, et al.
Publicado: (2025)

Scales++: Compute Efficient Evaluation Subset Selection with Cognitive Scales Embeddings
por: Bean, Andrew M., et al.
Publicado: (2025)

Training and Evaluating Causal Forecasting Models for Time-Series
por: Crasson, Thomas, et al.
Publicado: (2024)

AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting
por: Lyu, Tengfei, et al.
Publicado: (2024)

Automated Text Scoring in the Age of Generative AI for the GPU-poor
por: Ormerod, Christopher Michael, et al.
Publicado: (2024)

AIGS: Generating Science from AI-Powered Automated Falsification
por: Liu, Zijun, et al.
Publicado: (2024)

Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks
por: Grotov, Konstantin, et al.
Publicado: (2024)

From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation
por: Achtibat, Reduan, et al.
Publicado: (2022)

Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation
por: Santos, Moisés, et al.
Publicado: (2023)

Automated Deep Learning for Load Forecasting
por: Keisler, Julie, et al.
Publicado: (2024)

Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI
por: Shu, Bo, et al.
Publicado: (2024)

Grounding Language Models in Autonomous Loco-manipulation Tasks
por: Wang, Jin, et al.
Publicado: (2024)

From Time Series Analysis to Question Answering: A Survey in the LLM Era
por: Li, Wei, et al.
Publicado: (2025)