A. B. Siddique

Orcid: 0000-0002-3587-7289

Affiliations:
  • University of Kentucky, Department of Computer Science, Lexington, USA


According to our database1, A. B. Siddique authored at least 46 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
LangFIR: Discovering Sparse Language-Specific Features from Monolingual Data for Language Steering.
CoRR, April, 2026

MobileDev-Bench: A Comprehensive Benchmark for Evaluating Language Models on Mobile Application Development.
CoRR, March, 2026

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution.
Trans. Mach. Learn. Res., 2026

Evaluating Out-of-Domain Generalization of Task-Oriented Dialog Systems for Task Completion without Turn-level Dialog Annotations.
Proceedings of the International Conference on Semantic Computing, 2026

Looking into Black Box Code Language Models.
Proceedings of the International Conference on Semantic Computing, 2026

Improving Multi-turn Task Completion in Task-Oriented Dialog Systems via Prompt Chaining and Fine-Grained Feedback.
Proceedings of the International Conference on Semantic Computing, 2026

Generating Conversational Recommendation Datasets from Real User Interactions.
Proceedings of the International Conference on Semantic Computing, 2026

Evaluating Sparse Autoencoders for Monosemantic Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025
Multi-Granular Node Pruning for Circuit Discovery.
CoRR, December, 2025

Understanding Robustness of Model Editing in Code LLMs: An Empirical Study.
CoRR, November, 2025

A Framework for Generating Conversational Recommendation Datasets from Behavioral Interactions.
CoRR, June, 2025

What Users Value and Critique: Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps.
CoRR, June, 2025

Assessing and Enhancing Quantum Readiness in Mobile Apps.
CoRR, June, 2025

Evaluating and Enhancing Out-of-Domain Generalization of Task-Oriented Dialog Systems for Task Completion without Turn-level Dialog Annotations.
CoRR, February, 2025

Analyzing the Evolution and Maintenance of Quantum Computing Repositories.
CoRR, January, 2025

INTERPOS: Interaction Rhythm Guided Positional Morphing for Mobile App Recommender Systems.
Proceedings of the 19th International Conference on Semantic Computing, 2025

Analyzing the Evolution and Maintenance of Quantum Software Repositories.
Proceedings of the IEEE International Conference on Quantum Software, 2025

A Large-Scale Study on the Development and Issues of Multi-Agent AI Systems.
Proceedings of the IEEE International Conference on Big Data, 2025

Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps.
Proceedings of the IEEE International Conference on Big Data, 2025

2024
Model-Agnostic Zero-Shot Intent Detection via Contrastive Transfer Learning.
Int. J. Semantic Comput., March, 2024

Natural Language Task-Oriented Dialog System 2.0.
CoRR, 2024

MobileConvRec: A Conversational Dataset for Mobile Apps Recommendations.
CoRR, 2024

Search Beyond Queries: Training Smaller Language Models for Web Interactions via Reinforcement Learning.
CoRR, 2024

Mapping Natural Language Intents to User Interfaces through Vision-Language Models.
Proceedings of the 18th IEEE International Conference on Semantic Computing, 2024

2023
A deep learning approach for intrusion detection in Internet of Things using focal loss function.
Internet Things, July, 2023

Toward Open-domain Slot Filling via Self-supervised Co-training.
Proceedings of the ACM Web Conference 2023, 2023

MobileRec: A Large Scale Dataset for Mobile Apps Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Robust Zero-Shot Intent Detection via Contrastive Transfer Learning.
Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

Zero-Shot Generalizable End-to-End Task-Oriented Dialog System using Context Summarization and Domain Schema.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

FS3: Few-Shot and Self-Supervised Framework for Efficient Intrusion Detection in Internet of Things Networks.
Proceedings of the Annual Computer Security Applications Conference, 2023

2022
Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks.
IEEE Access, 2022

Zero-label Anaphora Resolution for Off-Script User Queries in Goal-Oriented Dialog Systems.
Proceedings of the 16th IEEE International Conference on Semantic Computing, 2022

Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Function.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Proactive Prioritization of App Issues via Contrastive Learning.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Generating Predictable and Adaptive Dialog Policies in Single- and Multi-domain Goal-oriented Dialog Systems.
Int. J. Semantic Comput., 2021

Linguistically-Enriched and Context-Aware Zero-shot Slot Filling.
CoRR, 2021

Linguistically-Enriched and Context-AwareZero-shot Slot Filling.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Generalized Zero-shot Intent Detection via Commonsense Knowledge.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Predictable and Adaptive Goal-oriented Dialog Policy Generation.
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

Beast: Scalable Exploratory Analytics on Spatio-temporal Data.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
AARSynth: App-Aware Response Synthesis for User Reviews.
CoRR, 2020

Unsupervised Paraphrasing via Deep Reinforcement Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

App-Aware Response Synthesis for User Reviews.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Comparing Synopsis Techniques for Approximate Spatial Data Analysis.
Proc. VLDB Endow., 2019

Euler++: Improved Selectivity Estimation for Rectangular Spatial Records.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Experimental Evaluation of Sketching Techniques for Big Spatial Data.
Proceedings of the ACM Symposium on Cloud Computing, 2018


  Loading...