Position: State-of-the-Art Claims Require State-of-the-Art Evidence
Fuente:
arXiv
Saved in:
| Main Author: | Oh, YongKyung |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis
by: Oh, YongKyung, et al.
Published: (2025)
by: Oh, YongKyung, et al.
Published: (2025)
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
by: Oh, YongKyung, et al.
Published: (2024)
by: Oh, YongKyung, et al.
Published: (2024)
FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification
by: Oh, YongKyung, et al.
Published: (2025)
by: Oh, YongKyung, et al.
Published: (2025)
DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis
by: Oh, YongKyung, et al.
Published: (2024)
by: Oh, YongKyung, et al.
Published: (2024)
TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification
by: Oh, YongKyung, et al.
Published: (2025)
by: Oh, YongKyung, et al.
Published: (2025)
Comprehensive Review of Neural Differential Equations for Time Series Analysis
by: Oh, YongKyung, et al.
Published: (2025)
by: Oh, YongKyung, et al.
Published: (2025)
Calibration in Deep Learning: A Survey of the State-of-the-Art
by: Wang, Cheng
Published: (2023)
by: Wang, Cheng
Published: (2023)
Frontier Large Language Models Rival State-of-the-Art Planners
by: Corrêa, Augusto B., et al.
Published: (2025)
by: Corrêa, Augusto B., et al.
Published: (2025)
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
by: Belgoumri, Mohammed Djameleddine, et al.
Published: (2024)
by: Belgoumri, Mohammed Djameleddine, et al.
Published: (2024)
Persona-Based Conversational AI: State of the Art and Challenges
by: Liu, Junfeng, et al.
Published: (2022)
by: Liu, Junfeng, et al.
Published: (2022)
Abstractive Text Summarization: State of the Art, Challenges, and Improvements
by: Shakil, Hassan, et al.
Published: (2024)
by: Shakil, Hassan, et al.
Published: (2024)
Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code
by: Corrêa, Augusto B., et al.
Published: (2025)
by: Corrêa, Augusto B., et al.
Published: (2025)
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges
by: Franceschelli, Giorgio, et al.
Published: (2023)
by: Franceschelli, Giorgio, et al.
Published: (2023)
DrugSAGE:Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery
by: Zhang, Yikun, et al.
Published: (2026)
by: Zhang, Yikun, et al.
Published: (2026)
Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance
by: Agnihotri, Rudransh, et al.
Published: (2025)
by: Agnihotri, Rudransh, et al.
Published: (2025)
Gradient-Optimized Fuzzy Classifier: A Benchmark Study Against State-of-the-Art Models
by: Sieverding, Magnus, et al.
Published: (2025)
by: Sieverding, Magnus, et al.
Published: (2025)
Large Language Models in Cybersecurity: State-of-the-Art
by: Motlagh, Farzad Nourmohammadzadeh, et al.
Published: (2024)
by: Motlagh, Farzad Nourmohammadzadeh, et al.
Published: (2024)
Generative AI for Visualization: State of the Art and Future Directions
by: Ye, Yilin, et al.
Published: (2024)
by: Ye, Yilin, et al.
Published: (2024)
Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs
by: Panfilov, Alexander, et al.
Published: (2026)
by: Panfilov, Alexander, et al.
Published: (2026)
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
by: Mandi, Jayanta, et al.
Published: (2023)
by: Mandi, Jayanta, et al.
Published: (2023)
A State-of-the-Art SQL Reasoning Model using RLVR
by: Ali, Alnur, et al.
Published: (2025)
by: Ali, Alnur, et al.
Published: (2025)
Time-Series Classification in Smart Manufacturing Systems: An Experimental Evaluation of State-of-the-Art Machine Learning Algorithms
by: Farahani, Mojtaba A., et al.
Published: (2023)
by: Farahani, Mojtaba A., et al.
Published: (2023)
Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Arguments
by: Feger, Marc, et al.
Published: (2025)
by: Feger, Marc, et al.
Published: (2025)
A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives
by: Zhao, Kaixiang, et al.
Published: (2025)
by: Zhao, Kaixiang, et al.
Published: (2025)
LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning
by: Li, Haoming, et al.
Published: (2024)
by: Li, Haoming, et al.
Published: (2024)
Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making
by: Palar, Pramudita Satria, et al.
Published: (2026)
by: Palar, Pramudita Satria, et al.
Published: (2026)
RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition
by: Cofala, Tim, et al.
Published: (2025)
by: Cofala, Tim, et al.
Published: (2025)
Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions
by: Tsai, Chen Feng, et al.
Published: (2023)
by: Tsai, Chen Feng, et al.
Published: (2023)
Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models
by: Nezhurina, Marianna, et al.
Published: (2024)
by: Nezhurina, Marianna, et al.
Published: (2024)
The Art of Scaling Reinforcement Learning Compute for LLMs
by: Khatri, Devvrit, et al.
Published: (2025)
by: Khatri, Devvrit, et al.
Published: (2025)
Path-Coordinated Continual Learning with Neural Tangent Kernel-Justified Plasticity: A Theoretical Framework with Near State-of-the-Art Performance
by: Shit, Rathin Chandra
Published: (2025)
by: Shit, Rathin Chandra
Published: (2025)
AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset
by: Moshkov, Ivan, et al.
Published: (2025)
by: Moshkov, Ivan, et al.
Published: (2025)
Qalb: Largest State-of-the-Art Urdu Large Language Model for 230M Speakers with Systematic Continued Pre-training
by: Hassan, Muhammad Taimoor, et al.
Published: (2026)
by: Hassan, Muhammad Taimoor, et al.
Published: (2026)
Position: Behavioural Assurance Cannot Verify the Safety Claims Governance Now Demands
by: Seth, Pratinav, et al.
Published: (2026)
by: Seth, Pratinav, et al.
Published: (2026)
Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification
by: Li, Nan, et al.
Published: (2024)
by: Li, Nan, et al.
Published: (2024)
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions
by: Macmillan-Scott, Olivia, et al.
Published: (2023)
by: Macmillan-Scott, Olivia, et al.
Published: (2023)
Art and Science of Quantizing Large-Scale Models: A Comprehensive Overview
by: Wang, Yanshu, et al.
Published: (2024)
by: Wang, Yanshu, et al.
Published: (2024)
Attention-Based Neural-Augmented Kalman Filter for Legged Robot State Estimation
by: Lee, Seokju, et al.
Published: (2026)
by: Lee, Seokju, et al.
Published: (2026)
FactReview: Evidence-Grounded Peer Review with Execution-Based Claim Verification
by: Yue, Ling, et al.
Published: (2026)
by: Yue, Ling, et al.
Published: (2026)
Natural Language Generation from Visual Events: State-of-the-Art and Key Open Questions
by: Surikuchi, Aditya K, et al.
Published: (2025)
by: Surikuchi, Aditya K, et al.
Published: (2025)
Similar Items
-
Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis
by: Oh, YongKyung, et al.
Published: (2025) -
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
by: Oh, YongKyung, et al.
Published: (2024) -
FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification
by: Oh, YongKyung, et al.
Published: (2025) -
DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis
by: Oh, YongKyung, et al.
Published: (2024) -
TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification
by: Oh, YongKyung, et al.
Published: (2025)