🧑‍🔬 Who cites Vibhav Vineet

86 citations of their works from 86 papers of our library (of the 149,439 whose bibliographies we read) · 24 with a page here, the most cited first · ← Vibhav Vineet

1. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?arXiv:1703.04977Alex Kendall, Yarin Gal2017 · 2,870 citations
2. OpenThoughts: Data Recipes for Reasoning ModelsarXiv:2506.04178Etash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 122 citations
3. MathArena: Evaluating LLMs on Uncontaminated Math CompetitionsConference on Neural Information Processing Systems (NeurIPS)Mislav Balunović, Jasper Dekoninck, Ivo Petrov, et al.2025 · 99 citations
4. Phi-4-reasoning Technical ReportarXiv:2504.21318Marah Abdin, Sahaj Agarwal, Ahmed Awadallah, et al.2025 · 64 citations
5. AICD Bench: A Challenging Benchmark for AI-Generated Code DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Daniil Orel, Dilshod Azizov, Indraneil Paul, et al.2026 · 23 citations
6. Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal ThinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Yilong Chen, Junyuan Shang, Zhenyu Zhang, et al.2025 · 16 citations
7. Optimizing Length Compression in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengxiang Cheng, Dongping Chen, Mingyang Fu, et al.2026 · 11 citations
8. AlphaOne: Reasoning Models Thinking Slow and Fast at Test TimeConference on Empirical Methods in Natural Language Processing (EMNLP)Junyu Zhang, Runpei Dong, Han Wang, et al.2025 · 10 citations
9. rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified DatasetConference on Neural Information Processing Systems (NeurIPS)Yifei Liu, Li Lyna Zhang, Yi Zhu, et al.2025 · 8 citations
10. DEBATE, TRAIN, EVOLVE: Self-Evolution of Language Model ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Gaurav Srivastava, Zhenyu Bi, Meng Lu, et al.2025 · 7 citations
11. FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Guizhen Chen, Weiwen Xu, Hao Zhang, et al.2025 · 6 citations
12. rStar2-Agent: Agentic Reasoning Technical ReportarXiv:2508.20722Ning Shang, Yifei Liu, Yi Zhu, et al.2025 · 6 citations
13. Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Yuming Yang, Mingyoung Lai, Wanxu Zhao, et al.2026 · 4 citations
14. Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language ModelsFindings of the Association for Computational LinguisticsGaurav Srivastava, Aafiya Shamshad Hussain, Sriram Srinivasan, et al.2026 · 3 citations
15. SynthRL: Scaling Visual Reasoning with Verifiable Data SynthesisFindings of the Association for Computational LinguisticsZijian Wu, Jinjie Ni, Xiangyan Liu, et al.2026 · 3 citations
16. Author-in-the-Loop Response Generation and Evaluation: Integrating Author Expertise and Intent in Responses to Peer ReviewAnnual Meeting of the Association for Computational Linguistics (ACL)Qian Ruan, Iryna Gurevych2026 · 2 citations
17. ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha MomentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuquan Wang, Mi Zhang, Yining Wang, et al.2026 · 1 citation
18. ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu, et al.2026 · 1 citation
19. ThinkBrake: Efficient Reasoning via Log-Probability Margin Guided DecodingFindings of the Association for Computational LinguisticsSangjun Song, Minjae Oh, Seungkyu Lee, et al.2026 · 1 citation
20. Who Endorsed It? Measuring Authority Bias Across Expertise Levels in Language ModelsWorkshop on Generation, Evaluation and Metrics (GEM)Priyanka Mary Mammen, Emil Joswin, Shankar Venkitachalam2026 · 1 citation
21. Can LLMs Reason Like Doctors? Exploring the Limits of Large Language Models in Complex Medical ReasoningFindings of the Association for Computational LinguisticsFlavio Merenda, Jose Manuel Gomez-Perez, German Rigau2026
22. Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher DecodingFindings of the Association for Computational LinguisticsTaewon Yun, Jisu Shin, Jeonghwan Choi, et al.2026
23. ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document ImagesConference of the European Chapter of the Association for Computational Linguistics (EACL)Mathieu Sibue, Andrés Muñoz Garza, Samuel Mensah, et al.2026
24. MUTANT: A Recipe for Multilingual Tokenizer DesignAnnual Meeting of the Association for Computational Linguistics (ACL)Souvik Rana, Ashish Kulkarni, Arul Menezes, et al.2026

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