Rongxiang Weng
23 papers · 2017–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (14)
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Academic Marathon
(8)
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Hot Topic Early Bird
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Deep Specialist
(10)
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Mega-Team
(27)
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Topic Evolution
🗃️
Keyword Collector
(83)
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Century Club
(20)
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(5)
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Prolific Year
(6)
Conferences
ACL (11)
AAAI (5)
EMNLP (4)
COLING (1)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
neural machine translation
(9)
large language model
(5)
representation learning
(3)
transfer learning
(3)
data selection
(2)
multi-task learning
(2)
semantic augmentation
(2)
data quality
(2)
language model
(2)
pre-trained model
(2)
semantic equivalence
(2)
multilingual nlp
(1)
machine translation
(1)
data augmentation
(1)
knowledge distillation
(1)
adversarial learning
(1)
uncertainty quantification
(1)
code generation
(1)
curriculum learning
(1)
reinforcement learning
(1)
Papers
Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text
ACL 2026
LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance
ACL 2026
LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points
ACL 2026
FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy
ACL 2025
Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM
AAAI 2025
Multi-Programming Language Sandbox for LLMs
ACL 2025
Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training
ACL 2025
Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data
ACL 2025
FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining
EMNLP 2025
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning
AAAI 2023
G-Tuning: Improving Generalization of Pre-trained Language Models with Generative Adversarial Network
ACL 2023
Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation
ACL 2022
Deep Fusing Pre-trained Models into Neural Machine Translation
AAAI 2022
Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation
COLING 2022
On Learning Universal Representations Across Languages
ICLR 2021
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation
EMNLP 2020
GRET: Global Representation Enhanced Transformer
AAAI 2020
Towards Enhancing Faithfulness for Neural Machine Translation
EMNLP 2020
Acquiring Knowledge from Pre-Trained Model to Neural Machine Translation
AAAI 2020
Multiscale Collaborative Deep Models for Neural Machine Translation
ACL 2020
Correct-and-Memorize: Learning to Translate from Interactive Revisions
IJCAI 2019
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
ACL 2019
Neural Machine Translation with Word Predictions
EMNLP 2017