Daniel Campos
6 papers in the PaperMetrix corpus
Papers by this author
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Leading Conversational Search by Suggesting Useful Questions
2020
This paper studies a new scenario in conversational search, conversational question suggestion, which leads search engine users to more engaging experiences by suggesting interesting, informative, and useful follow-up questions. We first establish a novel evaluation …
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Overview of the TREC 2019 deep learning track
2020 · arXiv (Cornell University)
The Deep Learning Track is a new track for TREC 2019, with the goal of studying ad hoc ranking in a large data regime. It is the first track with large human-labeled training sets, introducing …
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Overview of the TREC 2021 deep learning track
2025 · arXiv (Cornell University)
This is the fifth year of the TREC Deep Learning track. As in previous years, we leverage the MS MARCO datasets that made hundreds of thousands of human-annotated training labels available for both passage and …
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oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes
2023 · arXiv (Cornell University)
In this paper, we introduce the range of oBERTa language models, an easy-to-use set of language models which allows Natural Language Processing (NLP) practitioners to obtain between 3.8 and 24.3 times faster models without expertise …
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Safeguarding the Future: Forecasting Cybersecurity and Privacy Challenges and Solutions in Emerging Technologies for SMEs
2025 · Procedia Computer Science
Small and medium-sized enterprises (SMEs) are increasingly vulnerable to cybersecurity threats, risking their operations and growth. This paper examines SMEs’ specific weaknesses and identifies effective protection strategies. Combining quantitative tests and qualitative surveys and interviews, …
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XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
2020
Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung …