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Hwanjun Song

40 papers · 2019–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸ—ΊοΈ Taxonomy Completionist (11) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (6)
πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (14) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (39) ⚑ Prolific Year (9) ❓ The Questioner (2) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (162)

Conferences

AAAI (5) ACL (5) EMNLP (5) ICML (5) NAACL (5) NIPS (5) ICLR (4) CVPR (2) ICCV (2) COLING (1) ECCV (1)

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