Copertina

Benchmarking Temporal Web3 Intelligence: Lessons from the FinSurvival 2025 Challenge

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Seneviratne, Oshani, Spadea, Fernando, Pavao, Adrien, Green, Aaron Micah, Bennett, Kristin P.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

FinSurvival: A Suite of Large Scale Survival Modeling Tasks from Finance
di: Green, Aaron, et al.
Pubblicazione: (2025)

From Risk to Rescue: An Agentic Survival Analysis Framework for Liquidation Prevention
di: Spadea, Fernando, et al.
Pubblicazione: (2026)

Federated Fine-Tuning of Large Language Models: Kahneman-Tversky vs. Direct Preference Optimization
di: Spadea, Fernando, et al.
Pubblicazione: (2025)

Avoiding Over-Personalization with Rule-Guided Knowledge Graph Adaptation for LLM Recommendations
di: Spadea, Fernando, et al.
Pubblicazione: (2025)

Federated Personal Knowledge Graph Completion with Lightweight Large Language Models for Personalized Recommendations
di: Spadea, Fernando, et al.
Pubblicazione: (2026)

Aligning Language Models with Investor and Market Behavior for Financial Recommendations
di: Spadea, Fernando, et al.
Pubblicazione: (2025)

Parallel and Multi-Stage Knowledge Graph Retrieval for Behaviorally Aligned Financial Asset Recommendations
di: Spadea, Fernando, et al.
Pubblicazione: (2025)

Explainable Federated Learning for U.S. State-Level Financial Distress Modeling
di: Carta, Lorenzo, et al.
Pubblicazione: (2025)

Support and Scandals in GameFi dApps: A Network Analysis of The Sandbox Transactions
di: Spadea, Fernando, et al.
Pubblicazione: (2024)

Curriculum-Guided Reinforcement Learning for Synthesizing Gas-Efficient Financial Derivatives Contracts
di: Mridul, Maruf Ahmed, et al.
Pubblicazione: (2025)

Blockchain-based Framework for Scalable and Incentivized Federated Learning
di: Wu, Bijun, et al.
Pubblicazione: (2025)

SemCAFE: When Named Entities make the Difference Assessing Web Source Reliability through Entity-level Analytics
di: Shahi, Gautam Kishore, et al.
Pubblicazione: (2025)

We are not able to identify AI-generated images
di: Pavão, Adrien
Pubblicazione: (2025)

Measuring Privacy Risks and Tradeoffs in Financial Synthetic Data Generation
di: Zuo, Michael, et al.
Pubblicazione: (2026)

On Learning Representations for Tabular Data Distillation
di: Kang, Inwon, et al.
Pubblicazione: (2025)

Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19
di: Fong, David, et al.
Pubblicazione: (2024)

AI Competitions and Benchmarks, Practical issues: Proposals, grant money, sponsors, prizes, dissemination, publicity
di: Richard, Magali, et al.
Pubblicazione: (2024)

Personal Health Data Integration and Intelligence through Semantic Web and Blockchain Technologies
di: Seneviratne, Oshani, et al.
Pubblicazione: (2026)

A Differentially Private Blockchain-Based Approach for Vertical Federated Learning
di: Tran, Linh, et al.
Pubblicazione: (2024)

The Feasibility of a Smart Contract "Kill Switch"
di: Seneviratne, Oshani
Pubblicazione: (2024)

MetaExplainer: A Framework to Generate Multi-Type User-Centered Explanations for AI Systems
di: Chari, Shruthi, et al.
Pubblicazione: (2025)

SemStruct: Contextualizing Semantic Embeddings with Structural Information for Schema Matching
di: Kang, Inwon, et al.
Pubblicazione: (2026)

Enhancing Web Spam Detection through a Blockchain-Enabled Crowdsourcing Mechanism
di: Kader, Noah, et al.
Pubblicazione: (2024)

Concept-Based Explainable Artificial Intelligence: Metrics and Benchmarks
di: Aysel, Halil Ibrahim, et al.
Pubblicazione: (2025)

T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs
di: Dizaji, Alireza, et al.
Pubblicazione: (2025)

Consistent Causal Inference of Group Effects in Non-Targeted Trials with Finitely Many Effect Levels
di: Mavroudeas, Georgios, et al.
Pubblicazione: (2025)

FinRLlama: A Solution to LLM-Engineered Signals Challenge at FinRL Contest 2024
di: Grover, Arnav
Pubblicazione: (2025)

A Survey of Deep Long-Tail Classification Advancements
di: de Alvis, Charika, et al.
Pubblicazione: (2024)

A Benchmark for Gap and Overlap Analysis as a Test of KG Task Readiness
di: Mridul, Maruf Ahmed, et al.
Pubblicazione: (2026)

Deep End-to-End Survival Analysis with Temporal Consistency
di: Vieyra, Mariana Vargas, et al.
Pubblicazione: (2024)

CTBench: A Comprehensive Benchmark for Evaluating Language Model Capabilities in Clinical Trial Design
di: Neehal, Nafis, et al.
Pubblicazione: (2024)

TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics
di: Yi, Lu, et al.
Pubblicazione: (2025)

Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse
di: Zhang, Ling-Qi, et al.
Pubblicazione: (2026)

WebGames: Challenging General-Purpose Web-Browsing AI Agents
di: Thomas, George, et al.
Pubblicazione: (2025)

SHFL: Secure Hierarchical Federated Learning Framework for Edge Networks
di: Tavallaie, Omid, et al.
Pubblicazione: (2024)

FinTrust: A Comprehensive Benchmark of Trustworthiness Evaluation in Finance Domain
di: Hu, Tiansheng, et al.
Pubblicazione: (2025)

Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
di: Lagesse, Adrien, et al.
Pubblicazione: (2025)

Detecting Content Rating Violations in Android Applications: A Vision-Language Approach
di: Denipitiyage, D., et al.
Pubblicazione: (2025)

Semantic Interoperability on Blockchain by Generating Smart Contracts Based on Knowledge Graphs
di: Van Woensel, William, et al.
Pubblicazione: (2024)

Resource-Efficient LLM Application for Structured Transformation of Unstructured Financial Contracts
di: Mridul, Maruf Ahmed, et al.
Pubblicazione: (2025)