Sungjin Lee
31 papers · 2009–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (60) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(161)
Top co-authors
Research topics
Machine Learning
(20)
Artificial Intelligence
(19)
Natural Language Processing
(16)
Core AI
(15)
Learning Types Β· Machine Learning
(15)
Deep Learning
(14)
Generation
(12)
Learning Types Β· Deep Learning
(12)
Applications
(8)
Learning Paradigms
(7)
Reinforcement Learning
(4)
Application Areas
(4)
Core Methods
(4)
Methods
(4)
Models
(3)
Keywords
transfer learning
(6)
few-shot learning
(4)
contrastive learning
(4)
dialogue system
(4)
conversational ai
(3)
dialogue generation
(3)
text classification
(2)
representation learning
(2)
dialogue policy
(2)
response generation
(2)
latent space
(2)
embedding space
(1)
off-policy evaluation
(1)
domain adaptation
(1)
semi-supervised learning
(1)
multi-source learning
(1)
knowledge transfer
(1)
variational inference
(1)
adversarial learning
(1)
self-supervised learning
(1)
Papers
FaVe: Factored and Verified Search Rationale for Long-form Answer
ACL 2025
Label Supervised Contrastive Learning for Imbalanced Text Classification in Euclidean and Hyperbolic Embedding Spaces
EACL 2024
Cluster-Guided Label Generation in Extreme Multi-Label Classification
EACL 2023
Constrained Policy Optimization for Controlled Self-Learning in Conversational AI Systems
ACL 2023
Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space
CVPR 2023
Large-scale Lifelong Learning of In-context Instructions and How to Tackle It
ACL 2023
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information
EACL 2023
Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency
ICCV 2023
Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data
ACL 2022
Explaining Dialogue Evaluation Metrics using Adversarial Behavioral Analysis
NAACL 2022
Open World Classification with Adaptive Negative Samples
EMNLP 2022
PENTATRON: PErsonalized coNText-Aware Transformer for Retrieval-based cOnversational uNderstanding
EMNLP 2022
Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems
NAACL 2022
A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems
EMNLP 2021
AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation
ACL 2021
Dialogue Response Generation via Contrastive Latent Representation Learning
EMNLP 2021
Learning Slice-Aware Representations with Mixture of Attentions
ACL 2021
Modernizing File System through In-Storage Indexing
OSDI 2021
Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents
NAACL 2021
Datasets and Benchmarks for Task-Oriented Log Dialogue Ranking Task
Interspeech 2020
Guided Dialogue Policy Learning without Adversarial Learning in the Loop
EMNLP 2020
ConvLab: Multi-Domain End-to-End Dialog System Platform
ACL 2019
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks
EMNLP 2019
Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models
EMNLP 2019
Jointly Optimizing Diversity and Relevance in Neural Response Generation
NAACL 2019
Structuring Latent Spaces for Stylized Response Generation
EMNLP 2019
Zero-Shot Adaptive Transfer for Conversational Language Understanding
AAAI 2019
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning
EMNLP 2017
Joint Embedding of Query and Ad by Leveraging Implicit Feedback
EMNLP 2015
Online Sentence Novelty Scoring for Topical Document Streams
EMNLP 2015
Realistic Grammar Error Simulation using Markov Logic
ACL 2009