Yingqian Min

According to our database1, Yingqian Min authored at least 23 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A Survey of Large Language Models.
Frontiers Comput. Sci., December, 2026

Improving Vision-language Models with Perception-centric Process Reward Models.
CoRR, April, 2026

Towards Effective Code-Integrated Reasoning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
VIPER: Process-aware Evaluation for Generative Video Reasoning.
CoRR, December, 2025

Revisiting the Necessity of Lengthy Chain-of-Thought in Vision-centric Reasoning Generalization.
CoRR, November, 2025

ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests.
CoRR, June, 2025

Towards Effective Code-Integrated Reasoning.
CoRR, May, 2025

R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning.
CoRR, May, 2025

Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models.
CoRR, March, 2025

R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.
CoRR, March, 2025

An Empirical Study on Eliciting and Improving R1-like Reasoning Models.
CoRR, March, 2025

Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Smart-Searcher: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Towards Effective and Efficient Continual Pre-training of Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems.
CoRR, 2024

Technical Report: Enhancing LLM Reasoning with Reward-guided Tree Search.
CoRR, 2024

LLMBox: A Comprehensive Library for Large Language Models.
CoRR, 2024

LLMBox: A Comprehensive Library for Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024

DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
A Survey of Large Language Models.
CoRR, 2023

2021
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021


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