Hongyuan Lu
17 papers · 2022–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (38) 🤝 Dynamic Duo (14) 🗃️ Keyword Collector (73)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Natural Language Processing
(15)
Machine Learning
(12)
Generation
(9)
Artificial Intelligence
(8)
Resources & Methods
(8)
Application Areas
(7)
Deep Learning
(6)
Core AI
(6)
Applications
(5)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(3)
Models
(3)
Learning Paradigms
(2)
Optimization & Theory
(2)
Reinforcement Learning
(1)
Keywords
large language model
(7)
dialogue generation
(4)
paraphrase generation
(3)
machine translation
(3)
curriculum learning
(2)
natural language generation
(2)
semantic equivalence
(2)
text generation
(2)
transfer learning
(2)
in-context learning
(2)
benchmark evaluation
(2)
data contamination
(2)
dialogue system
(2)
prompt engineering
(1)
conversational ai
(1)
cross-lingual transfer
(1)
text classification
(1)
few-shot learning
(1)
document-level translation
(1)
data augmentation
(1)
Papers
Adam’s Law: Textual Frequency Law on Large Language Models
ACL 2026
LNE-Blocking: An Efficient Framework for Contamination Mitigation Evaluation on Large Language Models
EMNLP 2025
SLoW: Select Low-frequency Words! Automatic Dictionary Selection for Translation on Large Language Models
EMNLP 2025
Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations
NAACL 2025
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models
EMNLP 2024
CLEAN–EVAL: Clean Evaluation on Contaminated Large Language Models
NAACL 2024
Consecutive Batch Model Editing with HooK Layers
EMNLP 2024
Exploring Compositional Generalization of Large Language Models
NAACL 2024
Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References
NAACL 2024
Rephrasing Invokes Better Generations for Large Language Models
NAACL 2024
Revamping Multilingual Agreement Bidirectionally via Switched Back-translation for Multilingual Neural Machine Translation
EACL 2024
Unveiling the Generalization Power of Fine-Tuned Large Language Models
NAACL 2024
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation
EACL 2023
TRIP: Accelerating Document-level Multilingual Pre-training via Triangular Document-level Pre-training on Parallel Data Triplets
EMNLP 2023
Grounded Dialogue Generation with Cross-encoding Re-ranker, Grounding Span Prediction, and Passage Dropout
ACL 2022
On Controlling Fallback Responses for Grounded Dialogue Generation
ACL 2022
Partner Personas Generation for Dialogue Response Generation
NAACL 2022