Dongha Lee
39 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Conference Polyglot (11) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (7)
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Cross-Pollinator
(7)
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Renaissance Researcher
(11)
πΊοΈ
Taxonomy Completionist
(98)
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Dynamic Duo
(19)
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Topic Evolution
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Unstoppable
(7)
β
The Questioner
(5)
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Century Club
(38)
ποΈ
Keyword Collector
(187)
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Prolific Year
(10)
Conferences
EMNLP (13)
ACL (9)
AAAI (4)
NAACL (4)
EACL (2)
IJCAI (2)
CVPR (1)
ICCV (1)
ICLR (1)
IJCNLP (1)
NIPS (1)
Top co-authors
Keywords
large language model
(11)
dialogue system
(5)
question answering
(4)
code generation
(3)
conversational recommender system
(3)
language model
(3)
sentiment analysis
(2)
commonsense reasoning
(2)
contextual embedding
(2)
generative model
(2)
transfer learning
(2)
conversational agent
(2)
preference elicitation
(2)
text classification
(2)
convolutional neural network
(2)
dense retrieval
(2)
preference alignment
(2)
knowledge distillation
(2)
feature learning
(2)
data augmentation
(2)
Papers
P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist
ACL 2026
Stop Playing the Guessing Game! Evaluating Conversational Recommender Systems via Target-free User Simulation
EMNLP 2025
Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation
ICLR 2025
Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization
ACL 2025
MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple Tables
ACL 2025
Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics
NAACL 2025
Towards Lifelong Dialogue Agents via Timeline-based Memory Management
NAACL 2025
Can Large Language Models be Effective Online Opinion Miners?
EMNLP 2025
How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code
EMNLP 2025
Can Code-Switched Texts Activate a Knowledge Switch in LLMs? A Case Study on English-Korean Code-Switching
EMNLP 2025
Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic Action
EMNLP 2025
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
NIPS 2024
Eliciting Instruction-tuned Code Language Modelsβ Capabilities to Utilize Auxiliary Function for Code Generation
EMNLP 2024
Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysis
EMNLP 2024
Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization
EMNLP 2024
Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory
EMNLP 2024
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
EMNLP 2024
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
AAAI 2024
Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
AAAI 2024
VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models
ACL 2024
Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation
ACL 2024
Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset
ACL 2024
Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy
ACL 2024
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection
CVPR 2024
Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement
EACL 2024
Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering
EACL 2024
Taxonomy-guided Semantic Indexing for Academic Paper Search
EMNLP 2024
RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization
NAACL 2024
Exploring Language Modelβs Code Generation Ability with Auxiliary Functions
NAACL 2024
Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents
EMNLP 2023
Learning Topology-Specific Experts for Molecular Property Prediction
AAAI 2023
Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation
EMNLP 2022
Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning
ACL 2022
OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification
IJCNLP 2021
Learnable Dynamic Temporal Pooling for Time Series Classification
AAAI 2021
OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification
ACL 2021
Weakly Supervised Temporal Anomaly Segmentation With Dynamic Time Warping
ICCV 2021
Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection
IJCAI 2020
Action Space Learning for Heterogeneous User Behavior Prediction
IJCAI 2019