Hong Yu

88 papers · 2003–2026 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (10) 🐣 Hot Topic Early Bird 🏃 Academic Marathon (22) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (13) 🗺️ Taxonomy Completionist (14) 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (30) 🧬 Topic Evolution 🏆 Keyword Champion (3) 🔬 Deep Specialist (11) 🤝 Dynamic Duo (22) ⚡ Prolific Year (8) ❓ The Questioner (4) 🗃️ Keyword Collector (360) 💎 Century Club (83) 📈 Trend Setter 🚀 Conference Pioneer 🔥 Unstoppable (11)

Conferences

EMNLP (30) NAACL (13) ACL (12) AAAI (11) EACL (6) COLING (4) IJCNLP (3) INTERSPEECH (3) ACML (2) ICML (1) IJCAI (1) MLHC (1) NIPS (1)

Top co-authors

Zonghai Yao (26) Zhichao Yang (18) Sunjae Kwon (10) Xiaotong Zhang (10) Han Liu (10) Feng Zhang (8) Junda Wang (8) Fenglong Ma (8) Dhivya Piraviperumal (7) Joel Ruben Antony Moniz (7)

Keywords

large language model (18) text classification (10) few-shot learning (9) electronic health record (9) text generation (8) natural language inference (6) question answering (5) multi-label classification (5) synthetic data generation (5) contrastive learning (4) prompt engineering (4) multi-agent system (4) retrieval-augmented generation (4) named entity recognition (4) reinforcement learning (4) dialogue system (4) natural language understanding (3) conversational ai (3) zero-shot learning (3) machine translation (3)

Papers

ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care AAAI 2026

MedQA-CS: Objective Structured Clinical Examination (OSCE)-Style Benchmark for Evaluating LLM Clinical Skills EACL 2026

Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty EACL 2026

PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning AAAI 2026

Semantic-Augmented Image Clustering via Adaptive Multi-Modal Collaboration AAAI 2026

MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback NAACL 2025

From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations EMNLP 2025

Synth-SBDH: A Synthetic Dataset of Social and Behavioral Determinants of Health for Clinical Text EMNLP 2025

LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models EMNLP 2025

Evaluating Evaluation Metrics – The Mirage of Hallucination Detection EMNLP 2025

Do Large Language Models Know When Not to Answer in Medical QA? EMNLP 2025

MedCOD: Enhancing English-to-Spanish Medical Translation of Large Language Models Using Enriched Chain-of-Dictionary Framework EMNLP 2025

Chatbot To Help Patients Understand Their Health EMNLP 2025

DischargeSim: A Simulation Benchmark for Educational Doctor–Patient Communication at Discharge EMNLP 2025

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models ACL 2025

AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection ACL 2025

ReadCtrl: Personalizing text generation with readability-controlled instruction learning NAACL 2025

SEP-MLDC: A Simple and Effective Paradigm for Multi-Label Document Classification NAACL 2025

Pairwise Prompt-Based Tuning with Parameter Efficient Fast Adaptation for Generalized Zero-Shot Intent Detection NAACL 2025

Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning AAAI 2025

Can Large Language Models Understand Context? EACL 2024

README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP EMNLP 2024

Large Language Models are In-context Teachers for Knowledge Reasoning EMNLP 2024

Blocks Architecture (BloArk): Efficient, Cost-Effective, and Incremental Dataset Architecture for Wikipedia Revision History EMNLP 2024

Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing AAAI 2024

Depression Detection via Capsule Networks with Contrastive Learning AAAI 2024

NoteChat: A Dataset of Synthetic Patient-Physician Conversations Conditioned on Clinical Notes ACL 2024

Do Clinicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation ACL 2024

LlamaCare: An Instruction Fine-Tuned Large Language Model for Clinical NLP COLING 2024

LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data COLING 2024

UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis NAACL 2024

SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking EACL 2024

SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization EMNLP 2024

ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes NAACL 2024

ODD: A Benchmark Dataset for the Natural Language Processing Based Opioid Related Aberrant Behavior Detection NAACL 2024

Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors IJCAI 2023

5IDER: Unified Query Rewriting for Steering, Intent Carryover, Disfluencies, Entity Carryover and Repair INTERSPEECH 2023

UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations? ACL 2023

Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond ACL 2023

Referring to Screen Texts with Voice Assistants ACL 2023

Generating User-Engaging News Headlines ACL 2023

Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information ACL 2023

SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack AAAI 2023

Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt AAAI 2023

HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text NIPS 2023

Boosting Few-Shot Text Classification via Distribution Estimation AAAI 2023

STEER: Semantic Turn Extension-Expansion Recognition for Voice Assistants EMNLP 2023

Two Directions for Clinical Data Generation with Large Language Models: Data-to-Label and Label-to-Data EMNLP 2023

MARRS: Multimodal Reference Resolution System EMNLP 2023

Generating Coherent Narratives with Subtopic Planning to Answer How-to Questions EMNLP 2022

Generation of Patient After-Visit Summaries to Support Physicians COLING 2022

MedJEx: A Medical Jargon Extraction Model with Wiki’s Hyperlink Span and Contextualized Masked Language Model Score EMNLP 2022

Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding EMNLP 2022

Parameter Efficient Transfer Learning for Suicide Attempt and Ideation Detection EMNLP 2022

ScAN: Suicide Attempt and Ideation Events Dataset NAACL 2022

Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition NAACL 2022

Improving Formality Style Transfer with Context-Aware Rule Injection IJCNLP 2021

Improving Formality Style Transfer with Context-Aware Rule Injection ACL 2021

CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues NAACL 2021

Conversational Semantic Parsing for Dialog State Tracking EMNLP 2020

MetaMT, a Meta Learning Method Leveraging Multiple Domain Data for Low Resource Machine Translation AAAI 2020

ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network AAAI 2020

Conversational Machine Comprehension: a Literature Review COLING 2020

BENTO: A Visual Platform for Building Clinical NLP Pipelines Based on CodaLab ACL 2020

Calibrating Structured Output Predictors for Natural Language Processing ACL 2020

Generating Accurate Electronic Health Assessment from Medical Graph EMNLP 2020

Dynamic Data Selection for Curriculum Learning via Ability Estimation EMNLP 2020

Bacteria Biotope Relation Extraction via Lexical Chains and Dependency Graphs EMNLP 2019

Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds IJCNLP 2019

Clinical Judgement Study using Question Answering from Electronic Health Records MLHC 2019

Generating Classical Chinese Poems from Vernacular Chinese EMNLP 2019

Self-Weighted Multi-View Clustering with Deep Matrix Factorization ACML 2019

Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds EMNLP 2019

Generating Classical Chinese Poems from Vernacular Chinese IJCNLP 2019

Co-regularized Multi-view Subspace Clustering ACML 2018

Sentence Simplification with Memory-Augmented Neural Networks NAACL 2018

Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study EMNLP 2018

Neural Semantic Encoders EACL 2017

Neural Tree Indexers for Text Understanding EACL 2017

Meta Networks ICML 2017

Adversarial Network Bottleneck Features for Noise Robust Speaker Verification INTERSPEECH 2017

Integrated Spoofing Countermeasures and Automatic Speaker Verification: An Evaluation on ASVspoof 2015 INTERSPEECH 2016

Building an Evaluation Scale using Item Response Theory EMNLP 2016

Bidirectional RNN for Medical Event Detection in Electronic Health Records NAACL 2016

Structured prediction models for RNN based sequence labeling in clinical text EMNLP 2016

Key Concept Identification for Medical Information Retrieval EMNLP 2015

BioEx: A Novel User-Interface that Accesses Images from Abstract Sentences NAACL 2006

Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences EMNLP 2003