← Authors

Jong Park

25 papers · 2013–2024 · 7 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (6) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (49) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (12) 🀝 Dynamic Duo (12) πŸ’Ž Century Club (25) πŸ“ˆ Trend Setter ⚑ Prolific Year (11) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (104)

Conferences

ACL (9) EMNLP (7) IJCNLP (3) NAACL (3) AACL (1) CONLL (1) EACL (1)

Top co-authors

Soyeong Jeong (12) Sukmin Cho (7) Jinheon Baek (7) Wonsuk Yang (7) Hoyun Song (6) Huije Lee (6) Sung Ju Hwang (4) Jisu Shin (4) Fitsum Gaim (3) Seungwon Yoon (3)

Research topics

Linguistics (1)

Keywords

information retrieval (4) open-domain question answering (4) text classification (3) question answering (3) natural language understanding (3) reason selection (2) abusiveness detection (2) language model (2) retrieval-augmented generation (2) pre-trained language model (2) conversational question answering (2) large language model (2) hierarchical labeling (2) annotation quality (2) unsupervised learning (2) dense retrieval (2) multi-label classification (2) quality control (2) natural language generation (1) sentiment analysis (1)

Papers

DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation ACL 2024
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity NAACL 2024
Ask LLMs Directly, β€œWhat shapes your bias?”: Measuring Social Bias in Large Language Models ACL 2024
A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires ACL 2023
Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker ACL 2023
Phrase Retrieval for Open Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning ACL 2023
Generation of Korean Offensive Language by Leveraging Large Language Models via Prompt Design AACL 2023
Deep Model Compression Also Helps Models Capture Ambiguity ACL 2023
Question-Answering in a Low-resourced Language: Benchmark Dataset and Models for Tigrinya ACL 2023
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement EACL 2023
Knowledge-Augmented Language Model Verification EMNLP 2023
Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering EMNLP 2023
Test-Time Self-Adaptive Small Language Models for Question Answering EMNLP 2023
Generation of Korean Offensive Language by Leveraging Large Language Models via Prompt Design IJCNLP 2023
Query Generation with External Knowledge for Dense Retrieval ACL 2022
Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation ACL 2022
A Large-scale Comprehensive Abusiveness Detection Dataset with Multifaceted Labels from Reddit EMNLP 2021
Generating Negative Samples by Manipulating Golden Responses for Unsupervised Learning of a Response Evaluation Model NAACL 2021
Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation NAACL 2021
A Large-scale Comprehensive Abusiveness Detection Dataset with Multifaceted Labels from Reddit CONLL 2021
Computer Assisted Annotation of Tension Development in TED Talks through Crowdsourcing EMNLP 2019
Generating Sentential Arguments from Diverse Perspectives on Controversial Topic EMNLP 2019
Nonsense!: Quality Control via Two-Step Reason Selection for Annotating Local Acceptability and Related Attributes in News Editorials IJCNLP 2019
Nonsense!: Quality Control via Two-Step Reason Selection for Annotating Local Acceptability and Related Attributes in News Editorials EMNLP 2019
Parsing Dependency Paths to Identify Event-Argument Relations IJCNLP 2013