Hwaran Lee

Orcid: 0000-0002-3773-4871

According to our database1, Hwaran Lee authored at least 40 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
KoBBQ: Korean Bias Benchmark for Question Answering.
Trans. Assoc. Comput. Linguistics, 2024

Guaranteed Generation from Large Language Models.
CoRR, 2024

MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty.
CoRR, 2024

CSRT: Evaluation and Analysis of LLMs using Code-Switching Red-Teaming Dataset.
CoRR, 2024

BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages.
CoRR, 2024

AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence.
CoRR, 2024

HyperCLOVA X Technical Report.
CoRR, 2024

LifeTox: Unveiling Implicit Toxicity in Life Advice.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Calibrating Large Language Models Using Their Generations Only.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Who Wrote this Code? Watermarking for Code Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models.
CoRR, 2023

KoSBi: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Application.
CoRR, 2023

ProPILE: Probing Privacy Leakage in Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Query-Efficient Black-Box Red Teaming via Bayesian Optimization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

ClaimDiff: Comparing and Contrasting Claims on Contentious Issues.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Critic-Guided Decoding for Controlled Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Beyond Fact Verification: Comparing and Contrasting Claims on Contentious Topics.
CoRR, 2022

Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

TaleBrush: Visual Sketching of Story Generation with Pretrained Language Models.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

TaleBrush: Sketching Stories with Generative Pretrained Language Models.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Plug-and-Play Adaptation for Continuously-updated QA.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
SUMBT+LaRL: Effective Multi-Domain End-to-End Neural Task-Oriented Dialog System.
IEEE Access, 2021

Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
SUMBT+LaRL: End-to-end Neural Task-oriented Dialog System with Reinforcement Learning.
CoRR, 2020

DialGraph: Sparse Graph Learning Networks for Visual Dialog.
CoRR, 2020

2019
Unpaired Speech Enhancement by Acoustic and Adversarial Supervision for Speech Recognition.
IEEE Signal Process. Lett., 2019

SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Rescoring of N-Best Hypotheses Using Top-Down Selective Attention for Automatic Speech Recognition.
IEEE Signal Process. Lett., 2018

2017
Compositional Sentence Representation from Character Within Large Context Text.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Deep CNNs Along the Time Axis With Intermap Pooling for Robustness to Spectral Variations.
IEEE Signal Process. Lett., 2016

Compositional Sentence Representation from Character within Large Context Text.
CoRR, 2016

2015
Hierarchical Committee of Deep CNNs with Exponentially-Weighted Decision Fusion for Static Facial Expression Recognition.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

Active Learning for Large-scale Object Classification: from Exploration to Exploitation.
Proceedings of the 3rd International Conference on Human-Agent Interaction, 2015

2013
Smart user interface for mobile consumer devices using model-based eye-gaze estimation.
IEEE Trans. Consumer Electron., 2013


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