Joonsuk Park
28 papers · 2015–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Interdisciplinary Bridge π Renaissance Researcher (7) π Conference Polyglot (6) π Academic Marathon (10) πΊοΈ Taxonomy Completionist (59)
πΊοΈ
Taxonomy Completionist
(59)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π±
Topic Pioneer
π
Century Club
(28)
β
The Questioner
β‘
Prolific Year
(6)
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(119)
π
Trend Setter
Conferences
ACL (10)
EMNLP (9)
NAACL (5)
COLING (2)
IJCNLP (1)
NIPS (1)
Top co-authors
Keywords
large language model
(9)
question answering
(5)
text classification
(4)
argument mining
(3)
text generation
(3)
domain adaptation
(3)
natural language inference
(2)
pseudo query generation
(2)
dense retrieval
(2)
sentiment analysis
(2)
abstractive summarization
(2)
argument quality
(2)
language model
(2)
information retrieval
(2)
text summarization
(2)
retrieval-augmented generation
(2)
responsible ai
(2)
in-context learning
(1)
stance detection
(1)
knowledge editing
(1)
Papers
ReSCORE: Label-free Iterative Retriever Training for Multi-hop Question Answering with Relevance-Consistency Supervision
ACL 2025
tRAG: Term-level Retrieval-Augmented Generation for Domain-Adaptive Retrieval
NAACL 2025
AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence
NAACL 2025
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation
NAACL 2025
ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation
ACL 2025
Return of EM: Entity-driven Answer Set Expansion for QA Evaluation
COLING 2025
Argument Quality Assessment in the Age of Instruction-Following Large Language Models
COLING 2024
DADA: Distribution-Aware Domain Adaptation of PLMs for Information Retrieval
ACL 2024
LifeTox: Unveiling Implicit Toxicity in Life Advice
NAACL 2024
Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Utilization
EMNLP 2024
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
NIPS 2023
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration
ACL 2023
KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications
ACL 2023
Critic-Guided Decoding for Controlled Text Generation
ACL 2023
ClaimDiff: Comparing and Contrasting Claims on Contentious Issues
ACL 2023
Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models
EMNLP 2023
mRedditSum: A Multimodal Abstractive Summarization Dataset of Reddit Threads with Images
EMNLP 2023
From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models
EMNLP 2023
Relevance-assisted Generation for Robust Zero-shot Retrieval
EMNLP 2023
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA
EMNLP 2023
Plug-and-Play Adaptation for Continuously-updated QA
ACL 2022
Argument Mining for Review Helpfulness Prediction
EMNLP 2022
Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking
NAACL 2022
Argument Mining on Twitter: A Case Study on the Planned Parenthood Debate
EMNLP 2021
Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning
EMNLP 2021
Argument Mining with Structured SVMs and RNNs
ACL 2017
Automatic Identification of Rhetorical Questions
IJCNLP 2015
Automatic Identification of Rhetorical Questions
ACL 2015