Hong Yu
87 papers · 2003–2026 · 13 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (120) π Conference Polyglot Β· Gold π Academic Marathon Β· Ultra π Interdisciplinary Bridge Β· Diamond π£ Hot Topic Early Bird
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(30)
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Deep Specialist
(11)
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Dynamic Duo
(26)
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Keyword Trendsetter Combo
(4)
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Topic Evolution
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Keyword Champion
(3)
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Keyword Pioneer
β‘
Prolific Year Β· Prolific
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Trend Setter
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Unstoppable Β· Silver
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The Questioner
(4)
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Conference Pioneer
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Renaissance Researcher
(8)
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Century Club Β· Silver
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Keyword Collector
(363)
Venues
Top co-authors
Research topics
Natural Language Processing
(57)
Machine Learning
(51)
Artificial Intelligence
(49)
Core AI
(40)
Applications
(37)
Learning Types Β· Machine Learning
(34)
Deep Learning
(28)
Generation
(23)
Application Areas
(17)
Learning Types Β· Deep Learning
(17)
Healthcare & Medicine
(15)
Clinical
(15)
Core Methods
(14)
Learning Paradigms
(12)
Resources & Methods
(11)
Keywords
large language model
(19)
text classification
(10)
electronic health record
(10)
few-shot learning
(9)
text generation
(7)
question answering
(5)
multi-label classification
(5)
synthetic data generation
(5)
multi-agent system
(5)
natural language inference
(5)
contrastive learning
(4)
prompt engineering
(4)
named entity recognition
(4)
dialogue system
(4)
retrieval-augmented generation
(4)
conversational ai
(3)
medical nlp
(3)
zero-shot learning
(3)
machine translation
(3)
neural machine translation
(3)
Papers
ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care
AAAI 2026
From Where Things Are to What They Are For: Benchmarking Spatial-Functional Intelligence in Multimodal LLMs
CVPR 2026
Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty
EACL 2026
LLM-Based Multi-Agent Systems for Clinical Workflows: A Survey of AI Hospitals
ACL 2026
MedQA-CS: Objective Structured Clinical Examination (OSCE)-Style Benchmark for Evaluating LLM Clinical Skills
EACL 2026
PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning
AAAI 2026
Semantic-Augmented Image Clustering via Adaptive Multi-Modal Collaboration
AAAI 2026
AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection
ACL 2025
Chatbot To Help Patients Understand Their Health
EMNLP 2025
DischargeSim: A Simulation Benchmark for Educational DoctorβPatient Communication at Discharge
EMNLP 2025
Do Large Language Models Know When Not to Answer in Medical QA?
EMNLP 2025
Evaluating Evaluation Metrics β The Mirage of Hallucination Detection
EMNLP 2025
From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations
EMNLP 2025
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models
EMNLP 2025
MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback
NAACL 2025
MedCOD: Enhancing English-to-Spanish Medical Translation of Large Language Models Using Enriched Chain-of-Dictionary Framework
EMNLP 2025
Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning
AAAI 2025
Pairwise Prompt-Based Tuning with Parameter Efficient Fast Adaptation for Generalized Zero-Shot Intent Detection
NAACL 2025
RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models
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
Synth-SBDH: A Synthetic Dataset of Social and Behavioral Determinants of Health for Clinical Text
EMNLP 2025
Blocks Architecture (BloArk): Efficient, Cost-Effective, and Incremental Dataset Architecture for Wikipedia Revision History
EMNLP 2024
Can Large Language Models Understand Context?
EACL 2024
ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes
NAACL 2024
Depression Detection via Capsule Networks with Contrastive Learning
AAAI 2024
Do Clinicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation
ACL 2024
Large Language Models are In-context Teachers for Knowledge Reasoning
EMNLP 2024
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing
AAAI 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
NoteChat: A Dataset of Synthetic Patient-Physician Conversations Conditioned on Clinical Notes
ACL 2024
ODD: A Benchmark Dataset for the Natural Language Processing Based Opioid Related Aberrant Behavior Detection
NAACL 2024
README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP
EMNLP 2024
SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization
EMNLP 2024
SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking
EACL 2024
UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis
NAACL 2024
5IDER: Unified Query Rewriting for Steering, Intent Carryover, Disfluencies, Entity Carryover and Repair
Interspeech 2023
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors
IJCAI 2023
Boosting Few-Shot Text Classification via Distribution Estimation
AAAI 2023
Generating User-Engaging News Headlines
ACL 2023
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text
NeurIPS 2023
MARRS: Multimodal Reference Resolution System
EMNLP 2023
Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt
AAAI 2023
Referring to Screen Texts with Voice Assistants
ACL 2023
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond
ACL 2023
SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack
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
UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?
ACL 2023
Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information
ACL 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
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding
EMNLP 2022
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition
NAACL 2022
MedJEx: A Medical Jargon Extraction Model with Wikiβs Hyperlink Span and Contextualized Masked Language Model Score
EMNLP 2022
Parameter Efficient Transfer Learning for Suicide Attempt and Ideation Detection
EMNLP 2022
ScAN: Suicide Attempt and Ideation Events Dataset
NAACL 2022
CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues
NAACL 2021
Improving Formality Style Transfer with Context-Aware Rule Injection
ACL 2021
BENTO: A Visual Platform for Building Clinical NLP Pipelines Based on CodaLab
ACL 2020
Calibrating Structured Output Predictors for Natural Language Processing
ACL 2020
Conversational Machine Comprehension: a Literature Review
COLING 2020
Conversational Semantic Parsing for Dialog State Tracking
EMNLP 2020
Dynamic Data Selection for Curriculum Learning via Ability Estimation
EMNLP 2020
Generating Accurate Electronic Health Assessment from Medical Graph
EMNLP 2020
ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network
AAAI 2020
MetaMT, a Meta Learning Method Leveraging Multiple Domain Data for Low Resource Machine Translation
AAAI 2020
Bacteria Biotope Relation Extraction via Lexical Chains and Dependency Graphs
EMNLP 2019
Clinical Judgement Study using Question Answering from Electronic Health Records
MLHC 2019
Generating Classical Chinese Poems from Vernacular Chinese
EMNLP 2019
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds
EMNLP 2019
Self-Weighted Multi-View Clustering with Deep Matrix Factorization
ACML 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
Adversarial Network Bottleneck Features for Noise Robust Speaker Verification
Interspeech 2017
Meta Networks
ICML 2017
Neural Semantic Encoders
EACL 2017
Neural Tree Indexers for Text Understanding
EACL 2017
Bidirectional RNN for Medical Event Detection in Electronic Health Records
NAACL 2016
Building an Evaluation Scale using Item Response Theory
EMNLP 2016
Integrated Spoofing Countermeasures and Automatic Speaker Verification: An Evaluation on ASVspoof 2015
Interspeech 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