Ali Pesaranghader

Orcid: 0000-0002-5971-6180

According to our database1, Ali Pesaranghader authored at least 21 papers between 2013 and 2024.

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

2024
Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let's Take TravelPlanner as an Example.
CoRR, 2024

Gaussian Process Optimization for Adaptable Multi-Objective Text Generation using Linearly-Weighted Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Athena: Safe Autonomous Agents with Verbal Contrastive Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023
RECipe: Does a Multi-Modal Recipe Knowledge Graph Fit a Multi-Purpose Recommendation System?
CoRR, 2023

Recipe-MPR: A Test Collection for Evaluating Multi-aspect Preference-based Natural Language Retrieval.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

GPT-DETOX: An In-Context Learning-Based Paraphraser for Text Detoxification.
Proceedings of the International Conference on Machine Learning and Applications, 2023

COUNT: COntrastive UNlikelihood Text Style Transfer for Text Detoxification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Self-supervised Contrastive BERT Fine-tuning for Fusion-Based Reviewed-Item Retrieval.
Proceedings of the Advances in Information Retrieval, 2023

DiffuDetox: A Mixed Diffusion Model for Text Detoxification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2019
deepBioWSD: effective deep neural word sense disambiguation of biomedical text data.
J. Am. Medical Informatics Assoc., 2019

2018
Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams.
Mach. Learn., 2018

McDiarmid Drift Detection Methods for Evolving Data Streams.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data.
Proceedings of the Advances in Artificial Intelligence, 2018

2016
Fast Hoeffding Drift Detection Method for Evolving Data Streams.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

A Framework for Classification in Data Streams Using Multi-strategy Learning.
Proceedings of the Discovery Science - 19th International Conference, 2016

2014
Gene Functional Similarity Analysis by Definition-based Semantic Similarity Measurement of GO Terms.
Proceedings of the Advances in Artificial Intelligence, 2014

2013
Applying Latent Semantic Analysis to Optimize Second-order Co-occurrence Vectors for Semantic Relatedness Measurement.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2013

Adapting Gloss Vector Semantic Relatedness Measure for Semantic Similarity Estimation: An Evaluation in the Biomedical Domain.
Proceedings of the Semantic Technology - Third Joint International Conference, 2013

Applying semantic similarity measures to enhance topic-specific web crawling.
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

Augmenting Concept Definition in Gloss Vector Semantic Relatedness Measure using Wikipedia Articles.
Proceedings of the First International Conference on Advanced Data and Information Engineering, 2013


  Loading...