Hwanjun Song
40 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
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Conferences
AAAI (5)
ACL (5)
EMNLP (5)
ICML (5)
NAACL (5)
NIPS (5)
ICLR (4)
CVPR (2)
ICCV (2)
COLING (1)
ECCV (1)
Top co-authors
Keywords
large language model
(6)
label noise
(4)
text summarization
(4)
semi-supervised learning
(3)
recommender system
(3)
hallucination detection
(3)
synthetic datum
(2)
deep neural network
(2)
retrieval-augmented generation
(2)
representation learning
(2)
contrastive learning
(2)
robust learning
(2)
continual learning
(2)
online learning
(2)
query selection
(2)
data augmentation
(2)
synthetic data generation
(2)
noisy label learning
(2)
active learning
(2)
knowledge distillation
(2)
Papers
QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval
ACL 2026
RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models
ICLR 2025
Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages
ACL 2025
Word2Passage: Word-level Importance Re-weighting for Query Expansion
ACL 2025
Learning to Verify Summary Facts with Fine-Grained LLM Feedback
COLING 2025
Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Book-Length Contexts
EMNLP 2025
Robust Dataset Condensation using Supervised Contrastive Learning
ICCV 2025
Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration
EMNLP 2025
Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation
NAACL 2025
Learning to Summarize from LLM-generated Feedback
NAACL 2025
UniSumEval: Towards Unified, Fine-grained, Multi-dimensional Summarization Evaluation for LLMs
EMNLP 2024
Exploiting Representation Curvature for Boundary Detection in Time Series
NIPS 2024
Adaptive Shortcut Debiasing for Online Continual Learning
AAAI 2024
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise
AAAI 2024
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders
ACL 2024
FineSurE: Fine-grained Summarization Evaluation using LLMs
ACL 2024
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights
ECCV 2024
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
ICML 2024
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
NAACL 2024
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets
NAACL 2024
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection
NAACL 2024
Generating Instance-level Prompts for Rehearsal-free Continual Learning
ICCV 2023
Online Boundary-Free Continual Learning by Scheduled Data Prior
ICLR 2023
Context Consistency Regularization for Label Sparsity in Time Series
ICML 2023
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation
EMNLP 2023
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy
NIPS 2023
Re-Thinking Federated Active Learning Based on Inter-Class Diversity
CVPR 2023
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding
EMNLP 2023
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
NIPS 2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
NIPS 2022
Online Continual Learning on a Contaminated Data Stream With Blurry Task Boundaries
CVPR 2022
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies
AAAI 2022
Meta-Learning for Online Update of Recommender Systems
AAAI 2022
Coherence-based Label Propagation over Time Series for Accelerated Active Learning
ICLR 2022
ViDT: An Efficient and Effective Fully Transformer-based Object Detector
ICLR 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization
ICML 2022
Time Is MattEr: Temporal Self-supervision for Video Transformers
ICML 2022
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
AAAI 2021
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data
NIPS 2021
SELFIE: Refurbishing Unclean Samples for Robust Deep Learning
ICML 2019