Zhiyu Chen

Orcid: 0009-0006-6028-4836

Affiliations:
  • University of Texas at Dallas, Department of Computer Science, Dallas, TX, USA
  • Carnegie Mellon University, PA, USA (2023 - 2024)
  • Meta, Redmond, CA, USA (2022 - 2023)
  • University of California, Santa Barbara, CA, USA (PhD 2022)


According to our database1, Zhiyu Chen authored at least 40 papers between 2017 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
AMARIS: A Memory-Augmented Rubric Improvement System for Rubric-Based Reinforcement Learning.
CoRR, May, 2026

Is Grokking Worthwhile? Functional Analysis and Transferability of Generalization Circuits in Transformers.
CoRR, January, 2026

RescueLens: LLM-Powered Triage and Action on Volunteer Feedback for Food Rescue.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation.
CoRR, October, 2025

GEAR: A General Evaluation Framework for Abductive Reasoning.
CoRR, September, 2025

Complex Logical Instruction Generation.
CoRR, August, 2025

LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research.
CoRR, June, 2025

Do Retrieval-Augmented Language Models Adapt to Varying User Needs?
CoRR, February, 2025

Preference Learning Unlocks LLMs' Psycho-Counseling Skills.
CoRR, February, 2025

From Reasoning to Learning: A Survey on Hypothesis Discovery and Rule Learning with Large Language Models.
Trans. Mach. Learn. Res., 2025

CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

IDEA: Enhancing the Rule Learning Ability of Large Language Model Agent through Induction, Deduction, and Abduction.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law.
Trans. Mach. Learn. Res., 2024

IDEA:Enhancing the Rule Learning Ability of Language Agents through Induction, Deduction, and Abduction.
CoRR, 2024

PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals.
CoRR, 2024

PATIENT-ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Multimodal Procedural Planning via Dual Text-Image Prompting.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Large Language Models as Zero-shot Dialogue State Tracker through Function Calling.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Robust NLP for Finance (RobustFin).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling.
Proceedings of the International Conference on Machine Learning, 2023

Empowering Psychotherapy with Large Language Models: Cognitive Distortion Detection through Diagnosis of Thought Prompting.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Knowledge-Grounded Natural Language Processing
PhD thesis, 2022

Explanations from Large Language Models Make Small Reasoners Better.
CoRR, 2022

KETOD: Knowledge-Enriched Task-Oriented Dialogue.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Inductive Relation Prediction by BERT.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

FinQA: A Dataset of Numerical Reasoning over Financial Data.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

2020
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Logic2Text: High-Fidelity Natural Language Generation from Logical Forms.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Few-Shot NLG with Pre-Trained Language Model.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Logical Natural Language Generation from Open-Domain Tables.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Few-shot NLG with Pre-trained Language Model.
CoRR, 2019

How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Global Textual Relation Embedding for Relational Understanding.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017
IMAP: An iterative method for aligning protein-protein interaction networks.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017


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