Renren Jin

Orcid: 0009-0009-7452-9883

According to our database¹, Renren Jin authored at least 34 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2026

Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models.

[BibT_eX]

[DOI]

CoRR, April, 2026

KnowRL: Boosting LLM Reasoning via Reinforcement Learning with Minimal-Sufficient Knowledge Guidance.

[BibT_eX]

[DOI]

CoRR, April, 2026

SOUP: Token-level Single-sample Mix-policy Reinforcement Learning for Large Language Models.

[BibT_eX]

[DOI]

CoRR, January, 2026

2025

FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models.

[BibT_eX]

[DOI]

ACM Trans. Asian Low Resour. Lang. Inf. Process., December, 2025

Revisiting Entropy in Reinforcement Learning for Large Reasoning Models.

[BibT_eX]

[DOI]

CoRR, November, 2025

Advancing Large Language Models for Tibetan with Curated Data and Continual Pre-Training.

[BibT_eX]

[DOI]

CoRR, July, 2025

TaP: A Taxonomy-Guided Framework for Automated and Scalable Preference Data Generation.

[BibT_eX]

[DOI]

CoRR, June, 2025

ProBench: Benchmarking Large Language Models in Competitive Programming.

[BibT_eX]

[DOI]

CoRR, February, 2025

CMGBench: Benchmarking Chinese Metaphor Generation for Large Language Models.

[BibT_eX]

[DOI]

Data Intell., 2025

Optimize Quantization for Large Language Models via Progressive Training.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Towards a Unified Paradigm of Concept Editing in Large Language Models.

[BibT_eX]

[DOI]

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

Do Large Language Models Mirror Cognitive Language Processing?

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Empirical Study on Data Attributes Insufficiency of Evaluation Benchmarks for LLMs.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

CONTRANS: Weak-to-Strong Alignment Engineering via Concept Transplantation.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Does Personality Shape AI Minds Like Humans? A Systematic Study on the Cognition and Behavior of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

How Do Personality Traits Affect LLM Performance on a Variety of Tasks?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Praetor: A Fine-Grained Generative LLM Evaluator with Instance-Level Customizable Evaluation Criteria.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Large Language Model Safety: A Holistic Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Multilingual Large Language Models: A Systematic Survey.

[BibT_eX]

[DOI]

CoRR, 2024

FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Evaluating Chinese Large Language Models on Discipline Knowledge Acquisition via Memorization and Robustness Assessment.

[BibT_eX]

[DOI]

Proceedings of the First Data Contamination Workshop, 2024

LHMKE: A Large-scale Holistic Multi-subject Knowledge Evaluation Benchmark for Chinese Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

A Comprehensive Evaluation of Quantization Strategies for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024

2023

FollowEval: A Multi-Dimensional Benchmark for Assessing the Instruction-Following Capability of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Evaluating Large Language Models: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Model Alignment: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Joint Training and Decoding for Multilingual End-to-End Simultaneous Speech Translation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Informative Language Representation Learning for Massively Multilingual Neural Machine Translation.

[BibT_eX]

[DOI]

Renren Jin

Deyi Xiong

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

Renren Jin

Timeline

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On csauthors.net:

Bibliography

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