Anthony Rios - RankMe

78 papers A* 4A 2B 4Misc 3Journal 38Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Prompting Underestimates LLM Capability for Time Series Classification. CoRR Daniel Schumacher, Erfan Nourbakhsh, Rocky Slavin, Anthony Rios
2026	—	`conf`	Role-Conditioned Refusals: Evaluating Access Control Reasoning in Large Language Models. EACL (Findings) Dorde Klisura, Joseph Khoury, Ashish Kundu, Ram Krishnan, Anthony Rios
2025	—	`conf`	A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems. ACL (1) Dorde Klisura, Astrid R. Bernaga Torres, Anna Karen Gárate-Escamilla, Rajesh Roshan Biswal, Ke Yang, Hilal Pataci, Anthony Rios
2025	J	`jnl`	A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems. CoRR Dorde Klisura, Astrid R. Bernaga Torres, Anna Karen Gárate-Escamilla, Rajesh Roshan Biswal, Ke Yang, Hilal Pataci, Anthony Rios
2025	A	`conf`	Bike Frames: Understanding the Implicit Portrayal of Cyclists in the News. ICWSM Xingmeng Zhao, Daniel Schumacher, Sashank Nalluri, Suhana Shrestha, Xavier Walton, Anthony Rios
2025	J	`jnl`	Can We Reliably Rank Model Performance across Domains without Labeled Data? CoRR Veronica Rammouz, Aaron Gonzalez, Carlos Cruzportillo, Adrian Tan, Nicole Beebe, Anthony Rios
2025	B	`conf`	Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data Visualizations. COLING James Ford, Xingmeng Zhao, Daniel Schumacher, Anthony Rios
2025	—	`conf`	Does It Run and Is That Enough? Revisiting Text-to-Chart Generation with a Multi-Agent Approach. EMNLP (Findings) James Ford, Anthony Rios
2025	J	`jnl`	Does It Run and Is That Enough? Revisiting Text-to-Chart Generation with a Multi-Agent Approach. CoRR James Ford, Anthony Rios
2025	B	`conf`	Extracting Causal Relational Rules for Medical Question-Answering Tasks using Large Language Models. CHASE Md Sohanur Rahman, Yuexia Zhang, Anthony Rios, Ke Yang
2025	—	`conf`	FairPrivacy: A Robust Q&A System for Enhancing Transparency in IoT. AMCIS Turquoise H. Richardson, Dorde Klisura, Hilal Pataci, Anthony Rios
2025	J	`jnl`	How AI Forecasts AI Jobs: Benchmarking LLM Predictions of Labor Market Changes. CoRR Sheri Osborn, Rohit Valecha, H. Raghav Rao, Dan Sass, Anthony Rios
2025	—	`conf`	RASTeR: Robust, Agentic, and Structured Temporal Reasoning. IJCNLP-AACL (long papers) Daniel Schumacher, Fatemeh Haji, Tara Grey, Niharika Bandlamudi, Nupoor Karnik, Gagana Uday Kumar, Cho-Yu Jason Chiang, Peyman Najafirad, Nishant Vishwamitra, Anthony Rios
2025	A*	`conf`	Reflective Agreement: Combining Self-Mixture of Agents with a Sequence Tagger for Robust Event Extraction. EMNLP Fatemeh Haji, Mazal Bethany, Cho-Yu Jason Chiang, Anthony Rios, Peyman Najafirad
2025	J	`jnl`	Reflective Agreement: Combining Self-Mixture of Agents with a Sequence Tagger for Robust Event Extraction. CoRR Fatemeh Haji, Mazal Bethany, Cho-Yu Jason Chiang, Anthony Rios, Peyman Najafirad
2025	J	`jnl`	Role-Conditioned Refusals: Evaluating Access Control Reasoning in Large Language Models. CoRR Dorde Klisura, Joseph Khoury, Ashish Kundu, Ram Krishnan, Anthony Rios
2025	—	`conf`	Simplified Rewriting Improves Expert Summarization. IJCNLP-AACL (long papers) Xingmeng Zhao, Tongnian Wang, Anthony Rios
2025	J	`jnl`	Speculative Model Risk in Healthcare AI: Using Storytelling to Surface Unintended Harms. CoRR Xingmeng Zhao, Daniel Schumacher, Veronica Rammouz, Anthony Rios
2025	J	`jnl`	UTSA-NLP at ArchEHR-QA 2025: Improving EHR Question Answering via Self-Consistency Prompting. CoRR Sara Shields-Menard, Zach Reimers, Joshua Gardner, David Perry, Anthony Rios
2025	—	`conf`	Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems. NAACL (Findings) Dorde Klisura, Anthony Rios
2024	—	`conf`	A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models. NAACL-HLT Xingmeng Zhao, Ali Niazi, Anthony Rios
2024	—	`conf`	A Dataset for the Prediction of Spanish Language Fluency by Quantification of Linguistic Components with Artificial Intelligence. NLPIR Brock P. Wilson, Anthony Rios, Amanda S. Fernandez, Michael Rushforth, Samuel Ang, John Quarles, Mario A. Flores
2024	J	`jnl`	Beyond Text-to-SQL for IoT Defense: A Comprehensive Framework for Querying and Classifying IoT Threats. CoRR Ryan Pavlich, Nima Ebadi, Richard Tarbell, Billy Linares, Adrian Tan, Rachael Humphreys, Jayanta Kumar Das, Rambod Ghandiparsi, Hannah Haley, Jerris George, Rocky Slavin, Kim-Kwang Raymond Choo, Glenn Dietrich, Anthony Rios
2024	J	`jnl`	Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data Visualizations. CoRR James Ford, Xingmeng Zhao, Daniel Schumacher, Anthony Rios
2024	J	`jnl`	Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems. CoRR Daniel Schumacher, Fatemeh Haji, Tara Grey, Niharika Bandlamudi, Nupoor Karnik, Gagana Uday Kumar, Jason Cho-Yu Chiang, Paul Rad, Nishant Vishwamitra, Anthony Rios
2024	A*	`conf`	Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text. USENIX Security Symposium Mazal Bethany, Brandon Wherry, Emet Bethany, Nishant Vishwamitra, Anthony Rios, Peyman Najafirad
2024	J	`jnl`	Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphs. CoRR Mazal Bethany, Emet Bethany, Brandon Wherry, Jason Cho-Yu Chiang, Nishant Vishwamitra, Anthony Rios, Peyman Najafirad
2024	—	`conf`	Extracting Biomedical Entities from Noisy Audio Transcripts. LREC/COLING Nima Ebadi, Kellen Morgan, Adrian Tan, Billy Linares, Sheri Osborn, Emma Majors, Jeremy Davis, Anthony Rios
2024	J	`jnl`	Extracting Biomedical Entities from Noisy Audio Transcripts. CoRR Nima Ebadi, Kellen Morgan, Adrian Tan, Billy Linares, Sheri Osborn, Emma Majors, Jeremy Davis, Anthony Rios
2024	J	`jnl`	Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary. CoRR Xingmeng Zhao, Tongnian Wang, Anthony Rios
2024	J	`jnl`	Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator Agent. CoRR Fatemeh Haji, Mazal Bethany, Maryam Tabar, Jason Cho-Yu Chiang, Anthony Rios, Peyman Najafirad
2024	—	`conf`	Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4. SemEval@NAACL Daniel Schumacher, Anthony Rios
2024	J	`jnl`	Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4. CoRR Daniel Schumacher, Anthony Rios
2024	—	`conf`	Translating Natural Language Specifications into Access Control Policies by Leveraging Large Language Models. TPS-ISA Sherifdeen Lawal, Xingmeng Zhao, Anthony Rios, Ram Krishnan, David F. Ferraiolo
2024	—	`conf`	UTSA-NLP at ChemoTimelines 2024: Evaluating Instruction-Tuned Language Models for Temporal Relation Extraction. ClinicalNLP@NAACL Xingmeng Zhao, Anthony Rios
2024	J	`jnl`	Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems. CoRR Dorde Klisura, Anthony Rios
2023	J	`jnl`	A marker-based neural network system for extracting social determinants of health. J. Am. Medical Informatics Assoc. Xingmeng Zhao, Anthony Rios
2023	J	`jnl`	BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories? CoRR Xingmeng Zhao, Tongnian Wang, Sheri Osborn, Anthony Rios
2023	J	`jnl`	Bike Frames: Understanding the Implicit Portrayal of Cyclists in the News. CoRR Xingmeng Zhao, Xavier Walton, Suhana Shrestha, Anthony Rios
2023	J	`jnl`	Towards Understanding the Generalization of Medical Text-to-SQL Models and Datasets. CoRR Richard Tarbell, Kim-Kwang Raymond Choo, Glenn Dietrich, Anthony Rios
2023	—	`conf`	UTSA-NLP at RadSum23: Multi-modal Retrieval-Based Chest X-Ray Report Summarization. BioNLP@ACL Tongnian Wang, Xingmeng Zhao, Anthony Rios
2022	J	`jnl`	A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models. CoRR Xingmeng Zhao, Ali Niazi, Anthony Rios
2022	J	`jnl`	A Marker-based Neural Network System for Extracting Social Determinants of Health. CoRR Xingmeng Zhao, Anthony Rios
2022	J	`jnl`	Linguistic Elements of Engaging Customer Service Discourse on Social Media. CoRR Sonam Singh, Anthony Rios
2022	B	`conf`	Measuring Geographic Performance Disparities of Offensive Language Classifiers. COLING Brandon Lwowski, Paul Rad, Anthony Rios
2022	J	`jnl`	Measuring Geographic Performance Disparities of Offensive Language Classifiers. CoRR Brandon Lwowski, Paul Rad, Anthony Rios
2022	—	`conf`	Mitigating Data Shift of Biomedical Research Articles for Information Retrieval and Semantic Indexing. SDP@COLING Nima Ebadi, Anthony Rios, Peyman Najafirad
2022	A	`conf`	Turning Stocks into Memes: A Dataset for Understanding How Social Communities Can Drive Wall Street. ICWSM Richard Alvarez, Paras Bhatt, Xingmeng Zhao, Anthony Rios
2022	J	`jnl`	Turning Stocks into Memes: A Dataset for Understanding How Social Communities Can Drive Wall Street. CoRR Richard Alvarez, Paras Bhatt, Xingmeng Zhao, Anthony Rios
2022	—	`conf`	UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks. SemEval@NAACL Xingmeng Zhao, Anthony Rios
2022	J	`jnl`	UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks. CoRR Xingmeng Zhao, Anthony Rios
2021	—	`conf`	Assigning ICD-O-3 codes to pathology reports using neural multi-task training with hierarchical regularization. BCB Anthony Rios, Eric B. Durbin, Isaac Hands, Ramakanth Kavuluru
2021	J	`jnl`	Case Study on Detecting COVID-19 Health-Related Misinformation in Social Media. CoRR Mir Mehedi A. Pritom, Rosana Montanez Rodriguez, Asad Ali Khan, Sebastian A. Nugroho, Esra'a Alrashydah, Beatrice N. Ruiz, Anthony Rios
2021	—	`conf`	Detecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions. ACL/IJCNLP (Findings) Paras Bhatt, Anthony Rios
2021	J	`jnl`	Detecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions. CoRR Paras Bhatt, Anthony Rios
2021	J	`jnl`	The risk of racial bias while tracking influenza-related content on social media using machine learning. J. Am. Medical Informatics Assoc. Brandon Lwowski, Anthony Rios
2020	B	`conf`	An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings. COLING Anthony Rios, Brandon Lwowski
2020	A*	`conf`	FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English. AAAI Anthony Rios
2020	—	`conf`	Quantifying 60 Years of Gender Bias in Biomedical Research with Word Embeddings. BioNLP Anthony Rios, Reenam Joshi, Hejin Shin
2019	—	`conf`	Complex contagions of information diffusion across social networking platforms. AMCIS Rachael Ruizhu Xiong, Charles Zhechao Liu, Kim-Kwang Raymond Choo, Anthony Rios
2019	J	`jnl`	Cross-registry neural domain adaptation to extract mutational test results from pathology reports. J. Biomed. Informatics Anthony Rios, Eric B. Durbin, Isaac Hands, Susanne M. Arnold, Darshil Shah, Stephen M. Schwartz, Bernardo H. L. Goulart, Ramakanth Kavuluru
2019	J	`jnl`	Neural transfer learning for assigning diagnosis codes to EMRs. Artif. Intell. Medicine Anthony Rios, Ramakanth Kavuluru
2018	J	`jnl`	Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models. CoRR Yifan Peng, Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu
2018	J	`jnl`	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. Abeed Sarker, Maksim Belousov, Jasper Friedrichs, Kai Hakala, Svetlana Kiritchenko, Farrokh Mehryary, Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru, Berry de Bruijn, Filip Ginter, Debanjan Mahata, Saif M. Mohammad, Goran Nenadic, Graciela Gonzalez-Hernandez
2018	—	`conf`	EMR Coding with Semi-Parametric Multi-Head Matching Networks. NAACL-HLT Anthony Rios, Ramakanth Kavuluru
2018	J	`jnl`	Extracting chemical-protein relations with ensembles of SVM and deep learning models. Database J. Biol. Databases Curation Yifan Peng, Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu
2018	A*	`conf`	Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces. EMNLP Anthony Rios, Ramakanth Kavuluru
2018	J	`jnl`	Generalizing biomedical relation classification with neural adversarial domain adaptation. Bioinform. Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu
2018	—	`conf`	Predicting Psychological Health from Childhood Essays with Convolutional Neural Networks for the CLPsych 2018 Shared Task (Team UKNLP). CLPsych@NAACL-HTL Anthony Rios, Tung Tran, Ramakanth Kavuluru
2017	—	`conf`	Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks. ICHI Ramakanth Kavuluru, Anthony Rios, Tung Tran
2017	—	`conf`	Team UKNLP: Detecting ADRs, Classifying Medication Intake Messages, and Normalizing ADR Mentions on Twitter. SMM4H@AMIA Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru
2015	J	`jnl`	An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records. Artif. Intell. Medicine Ramakanth Kavuluru, Anthony Rios, Yuan Lu
2015	—	`conf`	Analyzing the Moving Parts of a Large-Scale Multi-label Text Classification Pipeline: Experiences in Indexing Biomedical Articles. ICHI Anthony Rios, Ramakanth Kavuluru
2015	Misc	`conf`	Automatic Assignment of Non-Leaf MeSH Terms to Biomedical Articles. AMIA Ramakanth Kavuluru, Anthony Rios
2015	—	`conf`	Convolutional neural networks for biomedical text classification: application in indexing biomedical articles. BCB Anthony Rios, Ramakanth Kavuluru
2014	Misc	`conf`	A Knowledge-Based Collaborative Clinical Case Mining Framework. AMIA Ramakanth Kavuluru, Anthony Rios, Brandon Kulengowski, Patrick McNamara
2013	Misc	`conf`	A Multi-Label Classification Approach for Coding Cancer Information Service Chat Transcripts. FLAIRS Anthony Rios, Robin Vanderpool, Pam Shaw, Ramakanth Kavuluru
2013	—	`conf`	Supervised Extraction of Diagnosis Codes from EMRs: Role of Feature Selection, Data Selection, and Probabilistic Thresholding. ICHI Anthony Rios, Ramakanth Kavuluru