Hwaran Lee
26 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Artificial Intelligence
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large language model
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question answering
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korean language
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responsible ai
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language model
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knowledge distillation
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benchmark evaluation
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text classification
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sentiment analysis
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reinforcement learning
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fact verification
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attention mechanism
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knowledge editing
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natural language inference
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uncertainty quantification
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few-shot learning
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cross-lingual transfer
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curriculum learning
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text generation
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kl divergence
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Papers
BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language Models
EACL 2026
AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence
NAACL 2025
Code-Switching Curriculum Learning for Multilingual Transfer in LLMs
ACL 2025
Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual Understanding
ACL 2025
Drift: Decoding-time Personalized Alignments with Implicit User Preferences
EMNLP 2025
Guaranteed Generation from Large Language Models
ICLR 2025
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty
NAACL 2025
BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
NeurIPS 2024
Calibrating Large Language Models Using Their Generations Only
ACL 2024
KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge
ACL 2024
LifeTox: Unveiling Implicit Toxicity in Life Advice
NAACL 2024
Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
ICLR 2024
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models
ACL 2024
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification
ACL 2024
Who Wrote this Code? Watermarking for Code Generation
ACL 2024
ClaimDiff: Comparing and Contrasting Claims on Contentious Issues
ACL 2023
Critic-Guided Decoding for Controlled Text Generation
ACL 2023
KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications
ACL 2023
ProPILE: Probing Privacy Leakage in Large Language Models
NeurIPS 2023
Query-Efficient Black-Box Red Teaming via Bayesian Optimization
ACL 2023
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration
ACL 2023
Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking
NAACL 2022
Plug-and-Play Adaptation for Continuously-updated QA
ACL 2022
Why Knowledge Distillation Amplifies Gender Bias and How to Mitigate from the Perspective of DistilBERT
NAACL 2022
Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer
EMNLP 2021
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking
ACL 2019