PPaperPicks

Jiajun Chen

Nanjing University, National Key Laboratory for Novel Software Technology, Nanjing, China

29 papers at tracked venues · 15 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAMΔ Integration into Upcycled MoE
  2. How Does Alignment Enhance LLMs' Multilingual Capabilities? A Language Neurons Perspective
  3. Improving Long-Context Translation via Self-Supervised Dual Learning
  4. Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation
  5. CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era
  6. EnAnchored-X2X: English-Anchored Optimization for Many-to-Many Translation
  7. MoE-LPR: Multilingual Extension of Large Language Models Through Mixture-of-Experts with Language Priors Routing
  8. R-PRM: Reasoning-Driven Process Reward Modeling
  9. SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models
  10. TRANS-ZERO: Self-Play Incentivizes Large Language Models for Multilingual Translation Without Parallel Data
  11. Understanding LLMs' Cross-Lingual Context Retrieval: How Good It Is And Where It Comes From
  12. Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement
  13. A Hierarchical Network for Multimodal Document-Level Relation Extraction
  14. A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily
  15. Exploring the Factual Consistency in Dialogue Comprehension of Large Language Models
  16. Focus & Gating: A Multimodal Approach for Unveiling Relations in Noisy Social Media
  17. Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge
  18. Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners
  19. Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs
  20. Large Language Models are Limited in Out-of-Context Knowledge Reasoning
  21. Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation
  22. MAPO: Advancing Multilingual Reasoning through Multilingual-Alignment-as-Preference Optimization
  23. MT-PATCHER: Selective and Extendable Knowledge Distillation from Large Language Models for Machine Translation
  24. Measuring Meaning Composition in the Human Brain with Composition Scores from Large Language Models
  25. Multilingual Contrastive Decoding via Language-Agnostic Layers Skipping
  26. Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis
  27. Multilingual Pretraining and Instruction Tuning Improve Cross-Lingual Knowledge Alignment, But Only Shallowly
  28. PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment
  29. Question Translation Training for Better Multilingual Reasoning