Sang-Woo Lee
31 papers · 2016–2025 · 11 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (9) 🌍 Conference Polyglot (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🐝
Cross-Pollinator
(3)
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(9)
🌟
Keyword Trendsetter Combo
(3)
👥
Mega-Team
(37)
🌱
Topic Pioneer
🧬
Topic Evolution
🏆
Keyword Champion
🤝
Dynamic Duo
(13)
📈
Trend Setter
🗃️
Keyword Collector
(134)
🔥
Unstoppable
(10)
💎
Century Club
(30)
❓
The Questioner
(2)
⚡
Prolific Year
(9)
Conferences
ACL (7)
EMNLP (7)
NIPS (4)
IJCNLP (3)
COLING (2)
ICLR (2)
NAACL (2)
AAAI (1)
AACL (1)
IJCAI (1)
INTERSPEECH (1)
Top co-authors
Research topics
Keywords
large language model
(7)
few-shot learning
(5)
in-context learning
(5)
dialogue system
(4)
dialogue state tracking
(3)
question answering
(3)
reinforcement learning
(3)
korean language
(2)
open-domain question answering
(2)
neural network
(2)
transfer learning
(2)
domain adaptation
(2)
task-oriented dialogue
(2)
goal-oriented dialog
(2)
safety alignment
(2)
knowledge distillation
(2)
prompt engineering
(2)
zero-shot learning
(2)
language modeling
(2)
text classification
(1)
Papers
How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts?
EMNLP 2025
Building Helpful-Only Large Language Models: A Complete Approach from Motivation to Evaluation
IJCNLP 2025
Building Helpful-Only Large Language Models: A Complete Approach from Motivation to Evaluation
AACL 2025
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
ICLR 2024
Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners
AAAI 2023
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP
EMNLP 2023
Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning
ACL 2023
Query-Efficient Black-Box Red Teaming via Bayesian Optimization
ACL 2023
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA
EMNLP 2023
Keep Me Updated! Memory Management in Long-term Conversations
EMNLP 2022
Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models
NAACL 2022
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model
NAACL 2022
Plug-and-Play Adaptation for Continuously-updated QA
ACL 2022
Two-Step Question Retrieval for Open-Domain QA
ACL 2022
Attribute Injection for Pretrained Language Models: A New Benchmark and an Efficient Method
COLING 2022
Continuous Decomposition of Granularity for Neural Paraphrase Generation
COLING 2022
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models
NIPS 2022
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
EMNLP 2022
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
EMNLP 2021
NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation
ACL 2021
Weakly Supervised Pre-Training for Multi-Hop Retriever
ACL 2021
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
EMNLP 2021
NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation
IJCNLP 2021
Weakly Supervised Pre-Training for Multi-Hop Retriever
IJCNLP 2021
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers
INTERSPEECH 2020
Efficient Dialogue State Tracking by Selectively Overwriting Memory
ACL 2020
Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation
ICLR 2019
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog
NIPS 2018
Overcoming Catastrophic Forgetting by Incremental Moment Matching
NIPS 2017
Multimodal Residual Learning for Visual QA
NIPS 2016
Dual-Memory Deep Learning Architectures for Lifelong Learning of Everyday Human Behaviors
IJCAI 2016