Semih Yavuz

1.2k total citations
28 papers, 365 citations indexed

About

Semih Yavuz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Urban Studies. According to data from OpenAlex, Semih Yavuz has authored 28 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Urban Studies. Recurrent topics in Semih Yavuz's work include Topic Modeling (24 papers), Natural Language Processing Techniques (24 papers) and Multimodal Machine Learning Applications (5 papers). Semih Yavuz is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (24 papers) and Multimodal Machine Learning Applications (5 papers). Semih Yavuz collaborates with scholars based in United States, Algeria and Hong Kong. Semih Yavuz's co-authors include Xifeng Yan, Yu Su, İzzeddin Gür, Yingbo Zhou, Caiming Xiong, Kazuma Hashimoto, Bill Byrne, Amit Dubey, Chinnadhurai Sankar and Daniel Duckworth and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, arXiv (Cornell University) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Semih Yavuz

25 papers receiving 339 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Semih Yavuz United States 12 345 50 44 13 8 28 365
Ohad Rubin Israel 2 211 0.6× 34 0.7× 60 1.4× 10 0.8× 16 2.0× 3 240
Jinhao Jiang China 5 206 0.6× 37 0.7× 32 0.7× 24 1.8× 5 0.6× 12 235
Or Honovich Israel 7 199 0.6× 29 0.6× 40 0.9× 5 0.4× 5 0.6× 10 221
Swarnadeep Saha United States 7 201 0.6× 42 0.8× 35 0.8× 20 1.5× 8 1.0× 14 228
Jifan Yu China 9 215 0.6× 85 1.7× 36 0.8× 30 2.3× 8 1.0× 32 262
Zhenghao Liu China 10 208 0.6× 62 1.2× 40 0.9× 17 1.3× 5 0.6× 31 251
Kalpesh Krishna United States 8 155 0.4× 22 0.4× 24 0.5× 5 0.4× 6 0.8× 17 200
Qingyu Yin United States 11 218 0.6× 41 0.8× 49 1.1× 6 0.5× 5 0.6× 30 239
Guanghui Qin United States 6 223 0.6× 28 0.6× 63 1.4× 4 0.3× 6 0.8× 10 254
Scott Yih United States 9 272 0.8× 48 1.0× 90 2.0× 8 0.6× 13 1.6× 19 303

Countries citing papers authored by Semih Yavuz

Since Specialization
Citations

This map shows the geographic impact of Semih Yavuz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Semih Yavuz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Semih Yavuz more than expected).

Fields of papers citing papers by Semih Yavuz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Semih Yavuz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Semih Yavuz. The network helps show where Semih Yavuz may publish in the future.

Co-authorship network of co-authors of Semih Yavuz

This figure shows the co-authorship network connecting the top 25 collaborators of Semih Yavuz. A scholar is included among the top collaborators of Semih Yavuz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Semih Yavuz. Semih Yavuz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Han, Simeng, Yilun Zhao, Semih Yavuz, et al.. (2024). P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. 16553–16565.
4.
Xiong, Caiming, et al.. (2024). Parameter-Efficient Detoxification with Contrastive Decoding. 30–40. 1 indexed citations
5.
Ni, Ansong, Pengcheng Yin, Yilun Zhao, et al.. (2024). L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. Transactions of the Association for Computational Linguistics. 12. 1311–1329. 6 indexed citations
6.
Tu, Lifu, Semih Yavuz, Jiacheng Xu, et al.. (2024). Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding. 15532–15548. 1 indexed citations
7.
Tang, Liyan, Tanya Goyal, Philippe Laban, et al.. (2023). Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. 11626–11644. 21 indexed citations
8.
Pang, Bo, Semih Yavuz, Caiming Xiong, & Yingbo Zhou. (2023). SharPT: Shared Latent Space Prompt Tuning. 1244–1250. 1 indexed citations
9.
Ye, Liu, Semih Yavuz, Rui Meng, et al.. (2023). HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution. 4437–4451. 1 indexed citations
10.
Ye, Liu, Semih Yavuz, Rui Meng, et al.. (2022). Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. 8858–8869. 13 indexed citations
11.
Ye, Xi, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, & Caiming Xiong. (2022). RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6032–6043. 41 indexed citations
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Zhang, Haopeng, Semih Yavuz, Wojciech Kryściński, Kazuma Hashimoto, & Yingbo Zhou. (2022). Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control. 528–535. 19 indexed citations
14.
Liu, Ye, Kazuma Hashimoto, Yingbo Zhou, et al.. (2021). Dense Hierarchical Retrieval for Open-domain Question Answering. 188–200. 12 indexed citations
15.
Wang, Qingyun, Semih Yavuz, Xi Lin, Heng Ji, & Nazneen Fatema Rajani. (2021). Stage-wise Fine-tuning for Graph-to-Text Generation. 16–22. 8 indexed citations
16.
Yavuz, Semih, Kazuma Hashimoto, Wenhao Liu, et al.. (2020). Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging. 5083–5089. 2 indexed citations
17.
Byrne, Bill, Chinnadhurai Sankar, Arvind Neelakantan, et al.. (2019). Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. 4515–4524. 92 indexed citations
18.
Li, Keqian, et al.. (2019). HierCon: Hierarchical Organization of Technical Documents Based on Concepts. 379–388. 2 indexed citations
19.
Yavuz, Semih, İzzeddin Gür, Yu Su, & Xifeng Yan. (2017). Recovering Question Answering Errors via Query Revision. 903–909. 7 indexed citations
20.
Erdoğan, Orhan, et al.. (2015). YAŞLILARDA YAŞAM DOYUMUNU ETKİLEYEN BAZI FAKTÖRLERİN İNCELENMESİ. 8(1). 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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