Imagen de Portada

AMIGO: Agentic Multi-Image Grounding Oracle Benchmark

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Min, Mahjoubfar, Ata
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

CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework
por: Du, Yuexi, et al.
Publicado: (2026)

Evaluating Self-Supervised Learning in Medical Imaging: A Benchmark for Robustness, Generalizability, and Multi-Domain Impact
por: Bundele, Valay, et al.
Publicado: (2024)

Active Policy Improvement from Multiple Black-box Oracles
por: Liu, Xuefeng, et al.
Publicado: (2023)

Characterization of Multi-Model Agentic AI Systems on General Tasks via Trace-Driven Simulation
por: Kim, Donghwan, et al.
Publicado: (2026)

Efficient Learning of Fuzzy Logic Systems for Large-Scale Data Using Deep Learning
por: Koklu, Ata, et al.
Publicado: (2024)

Zadeh's Type-2 Fuzzy Logic Systems: Precision and High-Quality Prediction Intervals
por: Guven, Yusuf, et al.
Publicado: (2024)

Enhancing Interval Type-2 Fuzzy Logic Systems: Learning for Precision and Prediction Intervals
por: Koklu, Ata, et al.
Publicado: (2024)

GCA Framework: A GCC Countries-Grounded Dataset and Agentic Pipeline for Climate Decision Support
por: Sheikh, Muhammad Umer, et al.
Publicado: (2026)

Is Efficient PAC Learning Possible with an Oracle That Responds 'Yes' or 'No'?
por: Daskalakis, Constantinos, et al.
Publicado: (2024)

Auto-bidding in real-time auctions via Oracle Imitation Learning (OIL)
por: Chiappa, Alberto Silvio, et al.
Publicado: (2024)

Multi-Agent Debate: A Unified Agentic Framework for Tabular Anomaly Detection
por: Wang, Pinqiao, et al.
Publicado: (2026)

Improving Autoregressive Training with Dynamic Oracles
por: Yang, Jianing, et al.
Publicado: (2024)

Oracle-Guided Soft Shielding for Safe Move Prediction in Chess
por: Rajendran, Prajit T, et al.
Publicado: (2026)

PepBenchmark: A Standardized Benchmark for Peptide Machine Learning
por: Zhang, Jiahui, et al.
Publicado: (2026)

MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains
por: Lee, Kyungeun, et al.
Publicado: (2025)

SLEA-RL: Step-Level Experience Augmented Reinforcement Learning for Multi-Turn Agentic Training
por: Wang, Prince Zizhuang, et al.
Publicado: (2026)

Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles
por: Kim, Jung-hun, et al.
Publicado: (2017)

Agentic Uncertainty Reveals Agentic Overconfidence
por: Kaddour, Jean, et al.
Publicado: (2026)

BoSS: A Best-of-Strategies Selector as an Oracle for Deep Active Learning
por: Huseljic, Denis, et al.
Publicado: (2026)

Auto-Discovery-Bench: Diagnosing Structured State Tracking in Oracle-Guided Discovery
por: Chen, Tingting, et al.
Publicado: (2025)

Sample and Oracle Efficient Reinforcement Learning for MDPs with Linearly-Realizable Value Functions
por: Mhammedi, Zakaria
Publicado: (2024)

Human-Guided Agentic AI for Multimodal Clinical Prediction: Lessons from the AgentDS Healthcare Benchmark
por: Pulavarthy, Lalitha Pranathi, et al.
Publicado: (2026)

Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows
por: Trirat, Patara, et al.
Publicado: (2025)

TDPNavigator-Placer: Thermal- and Wirelength-Aware Chiplet Placement in 2.5D Systems Through Multi-Agent Reinforcement Learning
por: Hou, Yubo, et al.
Publicado: (2026)

HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization
por: Chen, Hongzheng, et al.
Publicado: (2025)

Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
por: Tang, Zhiwei, et al.
Publicado: (2023)

Harnessing Agentic Evolution
por: Zhang, Jiayi, et al.
Publicado: (2026)

A Practitioner's Guide to Multi-turn Agentic Reinforcement Learning
por: Wang, Ruiyi, et al.
Publicado: (2025)

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization
por: Lange, Robert Tjarko, et al.
Publicado: (2025)

Supplement Generation Training for Enhancing Agentic Task Performance
por: Cho, Young Min, et al.
Publicado: (2026)

EVGeoQA: Benchmarking LLMs on Dynamic, Multi-Objective Geo-Spatial Exploration
por: Wu, Jianfei, et al.
Publicado: (2026)

Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks
por: Watanabe, Shuhei, et al.
Publicado: (2024)

Understanding LLM-Driven Test Oracle Generation
por: Bodicoat, Adam, et al.
Publicado: (2026)

Data Curation Through the Lens of Spectral Dynamics: Static Limits, Dynamic Acceleration, and Practical Oracles
por: Zhang, Yizhou, et al.
Publicado: (2025)

When Do Multi-Agent Systems Outperform? Analysing the Learning Efficiency of Agentic Systems
por: Su, Junwei, et al.
Publicado: (2026)

AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactions
por: Liu, Xianyang, et al.
Publicado: (2026)

Agentics 2.0: Logical Transduction Algebra for Agentic Data Workflows
por: Gliozzo, Alfio Massimiliano, et al.
Publicado: (2026)

Membership Testing in Markov Equivalence Classes via Independence Query Oracles
por: Zhang, Jiaqi, et al.
Publicado: (2024)

Sanity Checks for Agentic Data Science
por: Rewolinski, Zachary T., et al.
Publicado: (2026)

Agentic Unlearning: When LLM Agent Meets Machine Unlearning
por: Wang, Bin, et al.
Publicado: (2026)