Saved in:
| Main Author: | Rodis, Panteleimon |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.04631 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Transformer autoencoder with local attention for sparse and irregular time series with application on risk estimation
by: Rodis, Panteleimon
Published: (2026)
by: Rodis, Panteleimon
Published: (2026)
On defining and modeling context-awareness
by: Rodis, Panteleimon
Published: (2026)
by: Rodis, Panteleimon
Published: (2026)
CHAINTRIX: A multi-pipeline LLM-augmented framework for automated smart-contract security auditing
by: Dobrita, Gabriela, et al.
Published: (2026)
by: Dobrita, Gabriela, et al.
Published: (2026)
Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions
by: Rodis, Nikolaos, et al.
Published: (2023)
by: Rodis, Nikolaos, et al.
Published: (2023)
Dynamic benchmarking framework for LLM-based conversational data capture
by: Aluffi, Pietro Alessandro, et al.
Published: (2025)
by: Aluffi, Pietro Alessandro, et al.
Published: (2025)
AutoMathKG: The automated mathematical knowledge graph based on LLM and vector database
by: Bian, Rong, et al.
Published: (2025)
by: Bian, Rong, et al.
Published: (2025)
LLM-as-a-qualitative-judge: automating error analysis in natural language generation
by: Chirkova, Nadezhda, et al.
Published: (2025)
by: Chirkova, Nadezhda, et al.
Published: (2025)
LLM-based agents for automating the enhancement of user story quality: An early report
by: Zhang, Zheying, et al.
Published: (2024)
by: Zhang, Zheying, et al.
Published: (2024)
LLM Echo Chamber: personalized and automated disinformation
by: Ma, Tony
Published: (2024)
by: Ma, Tony
Published: (2024)
Speaking images. A novel framework for the automated self-description of artworks
by: Bernasconi, Valentine, et al.
Published: (2025)
by: Bernasconi, Valentine, et al.
Published: (2025)
Towards end-to-end LLM-based censoring-aware survival analysis
by: Wei, Yishu, et al.
Published: (2026)
by: Wei, Yishu, et al.
Published: (2026)
LLM-guided Task and Motion Planning using Knowledge-based Reasoning
by: Din, Muhayy Ud, et al.
Published: (2024)
by: Din, Muhayy Ud, et al.
Published: (2024)
Learn2Drive: A neural network-based framework for socially compliant automated vehicle control
by: Liu, Yuhui, et al.
Published: (2025)
by: Liu, Yuhui, et al.
Published: (2025)
Towards LLM-guided Causal Explainability for Black-box Text Classifiers
by: Bhattacharjee, Amrita, et al.
Published: (2023)
by: Bhattacharjee, Amrita, et al.
Published: (2023)
Towards LLM-guided Efficient and Interpretable Multi-linear Tensor Network Rank Selection
by: Iacovides, Giorgos, et al.
Published: (2024)
by: Iacovides, Giorgos, et al.
Published: (2024)
Test Time Training for AC Power Flow Surrogates via Physics and Operational Constraint Refinement
by: Dogoulis, Panteleimon, et al.
Published: (2025)
by: Dogoulis, Panteleimon, et al.
Published: (2025)
A modular framework for automated evaluation of procedural content generation in serious games with deep reinforcement learning agents
by: Kalafatis, Eleftherios, et al.
Published: (2025)
by: Kalafatis, Eleftherios, et al.
Published: (2025)
Towards explainable decision support using hybrid neural models for logistic terminal automation
by: D'Elia, Riccardo, et al.
Published: (2025)
by: D'Elia, Riccardo, et al.
Published: (2025)
Toward a unified framework for data-efficient evaluation of large language models
by: Liao, Lele, et al.
Published: (2025)
by: Liao, Lele, et al.
Published: (2025)
StarWhisper Telescope: An AI framework for automating end-to-end astronomical observations
by: Wang, Cunshi, et al.
Published: (2024)
by: Wang, Cunshi, et al.
Published: (2024)
AutoML-guided Fusion of Entity and LLM-based Representations for Document Classification
by: Koloski, Boshko, et al.
Published: (2024)
by: Koloski, Boshko, et al.
Published: (2024)
An extended reality-based framework for user risk training in urban built environment
by: Konstantakos, Sotirios, et al.
Published: (2025)
by: Konstantakos, Sotirios, et al.
Published: (2025)
The emergence of Large Language Models (LLM) as a tool in literature reviews: an LLM automated systematic review
by: Scherbakov, Dmitry, et al.
Published: (2024)
by: Scherbakov, Dmitry, et al.
Published: (2024)
MetaOpenFOAM: an LLM-based multi-agent framework for CFD
by: Chen, Yuxuan, et al.
Published: (2024)
by: Chen, Yuxuan, et al.
Published: (2024)
A framework for GNSS-based solutions performance analysis in an ERTMS context
by: Marais, Juliette, et al.
Published: (2024)
by: Marais, Juliette, et al.
Published: (2024)
Label-dependent and event-guided interpretable disease risk prediction using EHRs
by: Niu, Shuai, et al.
Published: (2022)
by: Niu, Shuai, et al.
Published: (2022)
Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation
by: Chen, Jinpeng, et al.
Published: (2025)
by: Chen, Jinpeng, et al.
Published: (2025)
Entropy-guided sequence weighting for efficient exploration in RL-based LLM fine-tuning
by: Vanlioglu, Abdullah
Published: (2025)
by: Vanlioglu, Abdullah
Published: (2025)
Large model retrieval enhancement framework for construction site risk identification
by: Li, Jiawei, et al.
Published: (2025)
by: Li, Jiawei, et al.
Published: (2025)
Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models
by: Ji, Chenyi, et al.
Published: (2026)
by: Ji, Chenyi, et al.
Published: (2026)
Enhancing FKG.in: automating Indian food composition analysis
by: Gupta, Saransh Kumar, et al.
Published: (2024)
by: Gupta, Saransh Kumar, et al.
Published: (2024)
Structured Uncertainty guided Clarification for LLM Agents
by: Suri, Manan, et al.
Published: (2025)
by: Suri, Manan, et al.
Published: (2025)
An approach to automated videogame beta testing
by: Hernández-Bécares, Jennifer, et al.
Published: (2024)
by: Hernández-Bécares, Jennifer, et al.
Published: (2024)
Toward Physics-guided Time Series Embedding
by: Hu, Jiaxi, et al.
Published: (2024)
by: Hu, Jiaxi, et al.
Published: (2024)
Enhancing LLM Reasoning with Reward-guided Tree Search
by: Jiang, Jinhao, et al.
Published: (2024)
by: Jiang, Jinhao, et al.
Published: (2024)
LLM-Explorer: Towards Efficient and Affordable LLM-based Exploration for Mobile Apps
by: Zhao, Shanhui, et al.
Published: (2025)
by: Zhao, Shanhui, et al.
Published: (2025)
Towards LLM-based Autograding for Short Textual Answers
by: Schneider, Johannes, et al.
Published: (2023)
by: Schneider, Johannes, et al.
Published: (2023)
Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents
by: Ren, Shuo, et al.
Published: (2025)
by: Ren, Shuo, et al.
Published: (2025)
Deep reinforcement learning-based longitudinal control strategy for automated vehicles at signalised intersections
by: Kumar, Pankaj, et al.
Published: (2025)
by: Kumar, Pankaj, et al.
Published: (2025)
FrGNet: A fourier-guided weakly-supervised framework for nuclear instance segmentation
by: Ling, Peng, et al.
Published: (2025)
by: Ling, Peng, et al.
Published: (2025)
Similar Items
-
Transformer autoencoder with local attention for sparse and irregular time series with application on risk estimation
by: Rodis, Panteleimon
Published: (2026) -
On defining and modeling context-awareness
by: Rodis, Panteleimon
Published: (2026) -
CHAINTRIX: A multi-pipeline LLM-augmented framework for automated smart-contract security auditing
by: Dobrita, Gabriela, et al.
Published: (2026) -
Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions
by: Rodis, Nikolaos, et al.
Published: (2023) -
Dynamic benchmarking framework for LLM-based conversational data capture
by: Aluffi, Pietro Alessandro, et al.
Published: (2025)