PPaperPicks

Linh Ngo Van

Hanoi University of Science and Technology, HUST, School of Information and Communication Technology, Vietnam

35 papers at tracked venues · 19 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Beyond Coherence: Improving Temporal Consistency and Interpretability in Dynamic Topic Models
  2. CTPD: Cross Tokenizer Preference Distillation
  3. DWA-KD: Dual-Space Weighting and Time-Warped Alignment for Cross-Tokenizer Knowledge Distillation
  4. GloCTM: Cross-Lingual Topic Modeling via a Global Context Space
  5. LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models
  6. MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models
  7. MIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining
  8. MTA: Multi-Granular Trajectory Alignment for Large Language Model Distillation
  9. MemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational Agents
  10. Octopus: Gated Selective Attention for Memory-Bounded Long-Context Inference in Large Language Models
  11. SRA: Span Representation Alignment for Large Language Model Distillation
  12. TALAS: Teacher-Anchored Layer Alignment with Adaptive Sharpness-Aware Minimization for Embedding Distillation
  13. Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective
  14. EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments
  15. Enhancing Discriminative Representation in Similar Relation Clusters for Few-Shot Continual Relation Extraction
  16. Few-Shot, No Problem: Descriptive Continual Relation Extraction
  17. GloCOM: A Short Text Neural Topic Model via Global Clustering Context
  18. HiCOT: Improving Neural Topic Models via Optimal Transport and Contrastive Learning
  19. Improving Vietnamese-English Cross-Lingual Retrieval for Legal and General Domains
  20. MaGiX: A Multi-Granular Adaptive Graph Intelligence Framework for Enhancing Cross-Lingual RAG
  21. Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction
  22. Multi-Surrogate-Objective Optimization for Neural Topic Models
  23. Mutual-pairing Data Augmentation for Fewshot Continual Relation Extraction
  24. Sharpness-Aware Minimization for Topic Models with High-Quality Document Representations
  25. ToVo: Toxicity Taxonomy via Voting
  26. Token-Level Self-Play with Importance-Aware Guidance for Large Language Models
  27. Topic Modeling for Short Texts via Optimal Transport-Based Clustering
  28. XTRA: Cross-Lingual Topic Modeling with Topic and Representation Alignments
  29. Continual Relation Extraction via Sequential Multi-Task Learning
  30. Lifelong Event Detection via Optimal Transport
  31. Mixture of Experts Meets Prompt-Based Continual Learning
  32. NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization
  33. Preserving Generalization of Language models in Few-shot Continual Relation Extraction
  34. Realistic Evaluation of Toxicity in Large Language Models
  35. SharpSeq: Empowering Continual Event Detection through Sharpness-Aware Sequential-task Learning