PPaperPicks

Hwanjun Song

27 papers at tracked venues · 16 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Aligning Extraction and Generation for Robust Retrieval-Augmented Generation
    WSDM 2026 · Hwanjun Song
  2. Alignment Tuning for Large Language Models: A Data-Centric Lens on Alignment Data Pipelines
    ACL 2026 · Hwanjun Song
  3. Distilling LLM Reasoning into Dense Encoders: Bridging the Accuracy-Efficiency Gap in Recommendation
  4. Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher Decoding
  5. QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval
  6. Bi-Modal Learning for Networked Time Series
  7. Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation
  8. Learning to Summarize from LLM-generated Feedback
    NAACL 2025 · Hwanjun Song
  9. Mobility Networked Time-Series Forecasting Benchmark Datasets
  10. RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models
  11. Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration
  12. Robust Dataset Condensation using Supervised Contrastive Learning
  13. Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages
  14. Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Book-Length Contexts
  15. Word2Passage: Word-level Importance Re-weighting for Query Expansion
  16. Adaptive Shortcut Debiasing for Online Continual Learning
  17. Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection
  18. Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders
  19. Controllable Contextualized Image Captioning: Directing the Visual Narrative Through User-Defined Highlights
  20. Exploiting Representation Curvature for Boundary Detection in Time Series
  21. FineSurE: Fine-grained Summarization Evaluation using LLMs
    ACL 2024 · Hwanjun Song
  22. MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets
  23. One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
  24. Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection
  25. TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
  26. Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise
    AAAI 2024 · Hwanjun Song
  27. UniSumEval: Towards Unified, Fine-grained, Multi-dimensional Summarization Evaluation for LLMs