Faisal Ladhak
- Health Informatics top 5%
- Artificial Intelligence top 5%
- Topic Modeling 11
- Natural Language Processing Techniques 10
- Advanced Text Analysis Techniques 6
- Hate Speech and Cyberbullying Detection 1
- General Social Sciences top 5%
- Safety Research top 10%
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- Multimodal Machine Learning Applications 1
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- Media Influence and Politics 1
- Misinformation and Its Impacts 1
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- Rough Sets and Fuzzy Logic 1
- Co-authors
- Esin DurmusTatsunori HashimotoKathleen McKeownTianyi ZhangPercy LiangDan JurafskyAylin CaliskanDebora Nozza
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)Edinburgh Research Explorer (1 paper)
- Partner nations
- United StatesSlovakiaItaly
In The Last Decade
Faisal Ladhak
13 papers receiving 418 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Health Informatics 29
- Artificial Intelligence 303
- General Social Sciences 19
- Safety Research 37
- Computer Vision and Pattern Recognition 74
Countries citing papers authored by Faisal Ladhak
This map shows the geographic impact of Faisal Ladhak'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 Faisal Ladhak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faisal Ladhak more than expected).
Fields of papers citing papers by Faisal Ladhak
This network shows the impact of papers produced by Faisal Ladhak. 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 Faisal Ladhak. The network helps show where Faisal Ladhak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Faisal Ladhak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inferencebreakdown → | 2025 | 14 |
| 2 | 2024 | 0 | |
| 3 | Benchmarking Large Language Models for News Summarizationbreakdown → | 2024 | 124 |
| 4 | 2023 | 18 | |
| 5 | 2023 | 3 | |
| 6 | Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scalebreakdown → | 2023 | 118 |
| 7 | 2023 | 15 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 38 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 3 | |
| 13 | 2018 | 50 | |
| 14 | 2016 | 38 |
About Faisal Ladhak
Faisal Ladhak is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 14 papers that have together received 443 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers), Advanced Text Analysis Techniques (6 papers), Media Influence and Politics (1 paper), Rough Sets and Fuzzy Logic (1 paper), Multimodal Machine Learning Applications (1 paper), Hate Speech and Cyberbullying Detection (1 paper) and Misinformation and Its Impacts (1 paper). The work is most often cited by research in Health Informatics (29 citations), Artificial Intelligence (303 citations) and General Social Sciences (19 citations). Faisal Ladhak has collaborated with scholars based in United States, Slovakia and Italy. Frequent co-authors include Esin Durmus, Tatsunori Hashimoto, Kathleen McKeown, Tianyi Zhang, Percy Liang, Dan Jurafsky, Aylin Caliskan, Debora Nozza, Federico Bianchi and Pratyusha Kalluri. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and Edinburgh Research Explorer.
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.