Azal Ahmad Khan

Orcid: 0009-0000-9435-5328

According to our database1, Azal Ahmad Khan authored at least 14 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts.
CoRR, September, 2025

Sem-DPO: Mitigating Semantic Inconsistency in Preference Optimization for Prompt Engineering.
CoRR, July, 2025

LADs: Leveraging LLMs for AI-Driven DevOps.
CoRR, February, 2025

Beyond Expectations: Quantile-Guided Alignment for Risk-Calibrated Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Safety Aware Task Planning via Large Language Models in Robotics.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

IP-FL: Incentive-Driven Personalization in Federated Learning.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation.
Expert Syst. Appl., 2024

A Quantum-Inspired Predator-Prey Algorithm for Real-Parameter Optimization.
Algorithms, 2024

FLOAT: Federated Learning Optimizations with Automated Tuning.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

Mitigating Sycophancy in Large Language Models via Direct Preference Optimization.
Proceedings of the IEEE International Conference on Big Data, 2024

Personalized Federated Learning Techniques: Empirical Analysis.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
PI-FL: Personalized and Incentivized Federated Learning.
CoRR, 2023

2022
Balanced Split: A new train-test data splitting strategy for imbalanced datasets.
CoRR, 2022


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