Rongxiang Weng

According to our database¹, Rongxiang Weng authored at least 47 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

Prefix Teach, Suffix Fade: Local Teachability Collapse in Strong-to-Weak On-Policy Distillation.

[BibT_eX]

[DOI]

CoRR, May, 2026

Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization.

[BibT_eX]

[DOI]

CoRR, May, 2026

LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Efficient Context Scaling with LongCat ZigZag Attention.

[BibT_eX]

[DOI]

CoRR, December, 2025

A Survey on LLM Mid-training.

[BibT_eX]

[DOI]

CoRR, October, 2025

Making Mathematical Reasoning Adaptive.

[BibT_eX]

[DOI]

CoRR, October, 2025

Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns.

[BibT_eX]

[DOI]

CoRR, September, 2025

OneCAT: Decoder-Only Auto-Regressive Model for Unified Understanding and Generation.

[BibT_eX]

[DOI]

CoRR, September, 2025

Large-Scale Diverse Synthesis for Mid-Training.

[BibT_eX]

[DOI]

CoRR, August, 2025

Libra: Assessing and Improving Reward Model by Learning to Think.

[BibT_eX]

[DOI]

CoRR, July, 2025

XBOUND: Exploring the Capability Boundaries of Device-Control Agents through Trajectory Tree Exploration.

[BibT_eX]

[DOI]

CoRR, May, 2025

Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment.

[BibT_eX]

[DOI]

CoRR, May, 2025

The rise and potential of large language model based agents: a survey.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2025

FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Multi-Programming Language Sandbox for LLMs.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Look Before You Leap: Enhancing Attention and Vigilance Regarding Harmful Content with GuidelineLLM.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Programming Language Sandbox for LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Length Desensitization in Directed Preference Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study.

[BibT_eX]

[DOI]

CoRR, 2024

2023

The Rise and Potential of Large Language Model Based Agents: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Secrets of RLHF in Large Language Models Part I: PPO.

[BibT_eX]

[DOI]

CoRR, 2023

G-Tuning: Improving Generalization of Pre-trained Language Models with Generative Adversarial Network.

[BibT_eX]

[DOI]

Rongxiang Weng

Wensen Cheng

Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation.

[BibT_eX]

[DOI]

Qiang Wang

Rongxiang Weng

Ming Chen

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Deep Fusing Pre-trained Models into Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

On Learning Universal Representations Across Languages.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Improving Self-Attention Networks With Sequential Relations.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2020

AR: Auto-Repair the Synthetic Data for Neural Machine Translation.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Enhancing Faithfulness for Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Uncertainty-Aware Semantic Augmentation for Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multiscale Collaborative Deep Models for Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Acquiring Knowledge from Pre-Trained Model to Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

GRET: Global Representation Enhanced Transformer.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Improving Neural Machine Translation with Pre-trained Representation.

[BibT_eX]

[DOI]

CoRR, 2019

Correct-and-Memorize: Learning to Translate from Interactive Revisions.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Learning to Discriminate Noises for Incorporating External Information in Neural Machine Translation.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Neural Machine Translation with Word Predictions.

[BibT_eX]

[DOI]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Rongxiang Weng

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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