Yafu Li

Orcid: 0000-0002-7895-9997

According to our database1, Yafu Li authored at least 39 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
SafeWork-R1: Coevolving Safety and Intelligence under the AI-45<sup>°</sup> Law.
CoRR, July, 2025

Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning.
CoRR, June, 2025

Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models.
CoRR, May, 2025

Learning to Reason under Off-Policy Guidance.
CoRR, April, 2025

A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond.
CoRR, March, 2025

Multi-LLM Collaborative Search for Complex Problem Solving.
CoRR, February, 2025

Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback.
CoRR, January, 2025

From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning.
CoRR, January, 2025

MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Keyphrase Generation Based on the Fusion of Sequence and Word Graph Features.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Keys to Robust Edits: From Theoretical Insights to Practical Advances.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SEE: Continual Fine-tuning with Sequential Ensemble of Experts.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Lost in Literalism: How Supervised Training Shapes Translationese in LLMs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
On compositional generalization of transformer-based neural machine translation.
Inf. Fusion, 2024

Keys to Robust Edits: from Theoretical Insights to Practical Advances.
CoRR, 2024

LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation.
CoRR, 2024

Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers.
CoRR, 2024

Potential and Challenges of Model Editing for Social Debiasing.
CoRR, 2024

Understanding In-Context Learning from Repetitions.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multi-level Contrastive Learning for Keyphrase Generation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

What Have We Achieved on Non-autoregressive Translation?
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

MAGE: Machine-generated Text Detection in the Wild.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.
CoRR, 2023

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.
CoRR, 2023

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation.
CoRR, 2023

Deepfake Text Detection in the Wild.
CoRR, 2023

Consistency Regularization Training for Compositional Generalization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Explicit Syntactic Guidance for Neural Text Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Label Attention Network for Structured Prediction.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Multi-Granularity Optimization for Non-Autoregressive Translation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Categorizing Semantic Representations for Neural Machine Translation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Prompt-Driven Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Sentence-State LSTMs For Sequence-to-Sequence Learning.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

On Compositional Generalization of Neural Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021


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