Anthony Rios

Orcid: 0000-0003-1781-3975

According to our database1, Anthony Rios authored at least 48 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data Visualizations.
CoRR, 2024

Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator Agent.
CoRR, 2024

Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphs.
CoRR, 2024

Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems.
CoRR, 2024

Beyond Text-to-SQL for IoT Defense: A Comprehensive Framework for Querying and Classifying IoT Threats.
CoRR, 2024

Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems.
CoRR, 2024

Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary.
CoRR, 2024

Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text.
Proceedings of the 33rd USENIX Security Symposium, 2024

Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Extracting Biomedical Entities from Noisy Audio Transcripts.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

UTSA-NLP at ChemoTimelines 2024: Evaluating Instruction-Tuned Language Models for Temporal Relation Extraction.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023
A marker-based neural network system for extracting social determinants of health.
J. Am. Medical Informatics Assoc., July, 2023

BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories?
CoRR, 2023

Towards Understanding the Generalization of Medical Text-to-SQL Models and Datasets.
CoRR, 2023

Bike Frames: Understanding the Implicit Portrayal of Cyclists in the News.
CoRR, 2023

UTSA-NLP at RadSum23: Multi-modal Retrieval-Based Chest X-Ray Report Summarization.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022
Linguistic Elements of Engaging Customer Service Discourse on Social Media.
CoRR, 2022

UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Turning Stocks into Memes: A Dataset for Understanding How Social Communities Can Drive Wall Street.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Measuring Geographic Performance Disparities of Offensive Language Classifiers.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Mitigating Data Shift of Biomedical Research Articles for Information Retrieval and Semantic Indexing.
Proceedings of the Third Workshop on Scholarly Document Processing, 2022

2021
The risk of racial bias while tracking influenza-related content on social media using machine learning.
J. Am. Medical Informatics Assoc., 2021

Case Study on Detecting COVID-19 Health-Related Misinformation in Social Media.
CoRR, 2021

Assigning ICD-O-3 codes to pathology reports using neural multi-task training with hierarchical regularization.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

Detecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Quantifying 60 Years of Gender Bias in Biomedical Research with Word Embeddings.
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Cross-registry neural domain adaptation to extract mutational test results from pathology reports.
J. Biomed. Informatics, 2019

Neural transfer learning for assigning diagnosis codes to EMRs.
Artif. Intell. Medicine, 2019

Complex contagions of information diffusion across social networking platforms.
Proceedings of the 25th Americas Conference on Information Systems, 2019

2018
Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task.
J. Am. Medical Informatics Assoc., 2018

Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models.
CoRR, 2018

Generalizing biomedical relation classification with neural adversarial domain adaptation.
Bioinform., 2018

Extracting chemical-protein relations with ensembles of SVM and deep learning models.
Database J. Biol. Databases Curation, 2018

EMR Coding with Semi-Parametric Multi-Head Matching Networks.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Predicting Psychological Health from Childhood Essays with Convolutional Neural Networks for the CLPsych 2018 Shared Task (Team UKNLP).
Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, 2018

2017
Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Team UKNLP: Detecting ADRs, Classifying Medication Intake Messages, and Normalizing ADR Mentions on Twitter.
Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), 2017

2015
An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records.
Artif. Intell. Medicine, 2015

Analyzing the Moving Parts of a Large-Scale Multi-label Text Classification Pipeline: Experiences in Indexing Biomedical Articles.
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

Convolutional neural networks for biomedical text classification: application in indexing biomedical articles.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

Automatic Assignment of Non-Leaf MeSH Terms to Biomedical Articles.
Proceedings of the AMIA 2015, 2015

2014
A Knowledge-Based Collaborative Clinical Case Mining Framework.
Proceedings of the AMIA 2014, 2014

2013
Supervised Extraction of Diagnosis Codes from EMRs: Role of Feature Selection, Data Selection, and Probabilistic Thresholding.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

A Multi-Label Classification Approach for Coding Cancer Information Service Chat Transcripts.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013


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