Saved in:
| Main Authors: | Missaoui, Ahmed, Ozturk, Cemalettin, O'Sullivan, Barry |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.03377 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Fast Algorithms for the Preference Consistency Problem Based on Hierarchical Models
by: George, Anne-Marie, et al.
Published: (2024)
by: George, Anne-Marie, et al.
Published: (2024)
Reasoning Transfer for an Extremely Low-Resource and Endangered Language: Bridging Languages Through Sample-Efficient Language Understanding
by: Tran, Khanh-Tung, et al.
Published: (2025)
by: Tran, Khanh-Tung, et al.
Published: (2025)
IRLBench: A Multi-modal, Culturally Grounded, Parallel Irish-English Benchmark for Open-Ended LLM Reasoning Evaluation
by: Tran, Khanh-Tung, et al.
Published: (2025)
by: Tran, Khanh-Tung, et al.
Published: (2025)
UCCIX: Irish-eXcellence Large Language Model
by: Tran, Khanh-Tung, et al.
Published: (2024)
by: Tran, Khanh-Tung, et al.
Published: (2024)
Questionnaire meets LLM: A Benchmark and Empirical Study of Structural Skills for Understanding Questions and Responses
by: Nguyen, Duc-Hai, et al.
Published: (2025)
by: Nguyen, Duc-Hai, et al.
Published: (2025)
Iterative Translation Refinement with Large Language Models
by: Chen, Pinzhen, et al.
Published: (2023)
by: Chen, Pinzhen, et al.
Published: (2023)
Greedy Is a Strong Default: Agents as Iterative Optimizers
by: Li, Yitao
Published: (2026)
by: Li, Yitao
Published: (2026)
The Initial Exploration Problem in Knowledge Graph Exploration
by: McNamara, Claire, et al.
Published: (2026)
by: McNamara, Claire, et al.
Published: (2026)
Multi-Agent Collaboration Mechanisms: A Survey of LLMs
by: Tran, Khanh-Tung, et al.
Published: (2025)
by: Tran, Khanh-Tung, et al.
Published: (2025)
Surrogate-Based Prevalence Measurement for Large-Scale A/B Testing
by: Xu, Zehao, et al.
Published: (2026)
by: Xu, Zehao, et al.
Published: (2026)
ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool Learning
by: Zeng, Xingshan, et al.
Published: (2025)
by: Zeng, Xingshan, et al.
Published: (2025)
Optimising 4th-Order Runge-Kutta Methods: A Dynamic Heuristic Approach for Efficiency and Low Storage
by: Goodship, Gavin Lee, et al.
Published: (2025)
by: Goodship, Gavin Lee, et al.
Published: (2025)
Preference Guided Iterated Pareto Referent Optimisation for Accessible Route Planning
by: Speziali, Paolo, et al.
Published: (2026)
by: Speziali, Paolo, et al.
Published: (2026)
Investigating Constraint Programming and Hybrid Methods for Real World Industrial Test Laboratory Scheduling
by: Geibinger, Tobias, et al.
Published: (2019)
by: Geibinger, Tobias, et al.
Published: (2019)
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models
by: Sardina, Jeffrey, et al.
Published: (2024)
by: Sardina, Jeffrey, et al.
Published: (2024)
Iterative Critique-Refine Framework for Enhancing LLM Personalization
by: Maram, Durga Prasad, et al.
Published: (2025)
by: Maram, Durga Prasad, et al.
Published: (2025)
ARCS: Agentic Retrieval-Augmented Code Synthesis with Iterative Refinement
by: Bhattarai, Manish, et al.
Published: (2025)
by: Bhattarai, Manish, et al.
Published: (2025)
Agentic Design Patterns: A System-Theoretic Framework
by: Dao, Minh-Dung, et al.
Published: (2026)
by: Dao, Minh-Dung, et al.
Published: (2026)
Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain
by: Asadi, Mohammad, et al.
Published: (2026)
by: Asadi, Mohammad, et al.
Published: (2026)
SparOA: Sparse and Operator-aware Hybrid Scheduling for Edge DNN Inference
by: Zhang, Ziyang, et al.
Published: (2025)
by: Zhang, Ziyang, et al.
Published: (2025)
FLAIRR-TS -- Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series
by: Jalori, Gunjan, et al.
Published: (2025)
by: Jalori, Gunjan, et al.
Published: (2025)
Integrating Graph Neural Networks with Scattering Transform for Anomaly Detection
by: Zoubir, Abdeljalil, et al.
Published: (2024)
by: Zoubir, Abdeljalil, et al.
Published: (2024)
Visual Prompting with Iterative Refinement for Design Critique Generation
by: Duan, Peitong, et al.
Published: (2024)
by: Duan, Peitong, et al.
Published: (2024)
Machine Learning for Energy-Performance-aware Scheduling
by: Hu, Zheyuan, et al.
Published: (2026)
by: Hu, Zheyuan, et al.
Published: (2026)
GreedySnake: Accelerating SSD-Offloaded LLM Training with Efficient Scheduling and Optimizer Step Overlapping
by: Yin, Yishu, et al.
Published: (2025)
by: Yin, Yishu, et al.
Published: (2025)
Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization Problems
by: Schäpermeier, Lennart
Published: (2025)
by: Schäpermeier, Lennart
Published: (2025)
Who Is Lagging Behind: Profiling Student Behaviors with Graph-Level Encoding in Curriculum-Based Online Learning Systems
by: Xiao, Qian, et al.
Published: (2025)
by: Xiao, Qian, et al.
Published: (2025)
Spontaneous Reward Hacking in Iterative Self-Refinement
by: Pan, Jane, et al.
Published: (2024)
by: Pan, Jane, et al.
Published: (2024)
Sliding Window 3-Objective Pareto Optimization for Problems with Chance Constraints
by: Neumann, Frank, et al.
Published: (2024)
by: Neumann, Frank, et al.
Published: (2024)
Decision Quality Evaluation Framework at Pinterest
by: Tian, Yuqi, et al.
Published: (2026)
by: Tian, Yuqi, et al.
Published: (2026)
Machine Learning and Constraint Programming for Efficient Healthcare Scheduling
by: Said, Aymen Ben, et al.
Published: (2024)
by: Said, Aymen Ben, et al.
Published: (2024)
GeoScatt-GNN: A Geometric Scattering Transform-Based Graph Neural Network Model for Ames Mutagenicity Prediction
by: Zoubir, Abdeljalil, et al.
Published: (2024)
by: Zoubir, Abdeljalil, et al.
Published: (2024)
Asking an AI for salary negotiation advice is a matter of concern: Controlled experimental perturbation of ChatGPT for protected and non-protected group discrimination on a contextual task with no clear ground truth answers
by: Geiger, R. Stuart, et al.
Published: (2024)
by: Geiger, R. Stuart, et al.
Published: (2024)
Online Pareto-Optimal Decision-Making for Complex Tasks using Active Inference
by: Amorese, Peter, et al.
Published: (2024)
by: Amorese, Peter, et al.
Published: (2024)
Optimal Linear Decay Learning Rate Schedules and Further Refinements
by: Defazio, Aaron, et al.
Published: (2023)
by: Defazio, Aaron, et al.
Published: (2023)
DeepFeature: Iterative Context-aware Feature Generation for Wearable Biosignals
by: Liu, Kaiwei, et al.
Published: (2025)
by: Liu, Kaiwei, et al.
Published: (2025)
AIR: Complex Instruction Generation via Automatic Iterative Refinement
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
Diversify and Conquer: Diversity-Centric Data Selection with Iterative Refinement
by: Yu, Simon, et al.
Published: (2024)
by: Yu, Simon, et al.
Published: (2024)
R-ConstraintBench: Evaluating LLMs on NP-Complete Scheduling
by: Jain, Raj, et al.
Published: (2025)
by: Jain, Raj, et al.
Published: (2025)
ARTAI: An Evaluation Platform to Assess Societal Risk of Recommender Algorithms
by: Ruan, Qin, et al.
Published: (2024)
by: Ruan, Qin, et al.
Published: (2024)
Similar Items
-
Towards Fast Algorithms for the Preference Consistency Problem Based on Hierarchical Models
by: George, Anne-Marie, et al.
Published: (2024) -
Reasoning Transfer for an Extremely Low-Resource and Endangered Language: Bridging Languages Through Sample-Efficient Language Understanding
by: Tran, Khanh-Tung, et al.
Published: (2025) -
IRLBench: A Multi-modal, Culturally Grounded, Parallel Irish-English Benchmark for Open-Ended LLM Reasoning Evaluation
by: Tran, Khanh-Tung, et al.
Published: (2025) -
UCCIX: Irish-eXcellence Large Language Model
by: Tran, Khanh-Tung, et al.
Published: (2024) -
Questionnaire meets LLM: A Benchmark and Empirical Study of Structural Skills for Understanding Questions and Responses
by: Nguyen, Duc-Hai, et al.
Published: (2025)