Daniel Campos

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 48

Top Topics

Test Collection

Top Venues

Publications

Joao F. Santos, Alexandre Huff, Daniel Campos, Kleber Vieira Cardoso, Cristiano Bonato Both, Luiz A. DaSilva
Managing O-RAN Networks: xApp Development from Zero to Hero. CoRR (2024)
Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos
Synthetic Test Collections for Retrieval Evaluation. SIGIR (2024)
Ronak Pradeep, Nandan Thakur, Sahel Sharifymoghaddam, Eric Zhang, Ryan Nguyen, Daniel Campos, Nick Craswell, Jimmy Lin
Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track. CoRR (2024)
Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos
Synthetic Test Collections for Retrieval Evaluation. CoRR (2024)
Luke Merrick, Danmei Xu, Gaurav Nuti, Daniel Campos
Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models. CoRR (2024)
Daniel Campos, Surya Kallumadi, Corby Rosset, ChengXiang Zhai, Alessandro Magnani
Overview of the TREC 2023 Product Product Search Track. CoRR (2023)
Daniel Campos, ChengXiang Zhai
Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval. CoRR (2023)
Daniel Campos, Alessandro Magnani, Chengxiang Zhai
Quick Dense Retrievers Consume KALE: Post Training KullbackLeibler Alignment of Embeddings for Asymmetrical dual encoders. SustaiNLP (2023)
Daniel Campos, ChengXiang Zhai, Alessandro Magnani
Noise-Robust Dense Retrieval via Contrastive Alignment Post Training. CoRR (2023)
Daniel Campos, Daniel Perry, Samir Joshi, Yashmeet Gambhir, Wei Du, Zhengzheng Xing, Aaron Colak
Compressing Cross-Lingual Multi-Task Models at Qualtrics. AAAI (2023)
Daniel Campos, Alexandre Marques, Mark Kurtz, ChengXiang Zhai
oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes. SustaiNLP (2023)
Daniel Campos, ChengXiang Zhai
To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency. CoRR (2023)
Daniel Campos, Alessandro Magnani, ChengXiang Zhai
Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders. CoRR (2023)
T. J. OConnor, Dylan Jessee, Daniel Campos
Towards Examining The Security Cost of Inexpensive Smart Home IoT Devices. COMPSAC (2023)
Daniel Campos, Alexandre Marques, Mark Kurtz, ChengXiang Zhai
oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes. CoRR (2023)
Daniel Campos, Chengxiang Zhai
To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency. SustaiNLP (2023)
Daniel Campos, Alexandre Marques, Tuan Nguyen, Mark Kurtz, ChengXiang Zhai
Sparse*BERT: Sparse Models are Robust. CoRR (2022)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff
Overview of the TREC 2022 Deep Learning Track. TREC (2022)
Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz
Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards. SIGIR (2022)
Eldar Kurtic, Daniel Campos, Tuan Nguyen, Elias Frantar, Mark Kurtz, Benjamin Fineran, Michael Goin, Dan Alistarh
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models. CoRR (2022)
Daniel Campos, Daniel Perry, Samir Joshi, Yashmeet Gambhir, Wei Du, Zhengzheng Xing, Aaron Colak
Compressing Cross-Lingual Multi-Task Models at Qualtrics. CoRR (2022)
Javier Cristín, Vicenç Méndez, Daniel Campos
Informational Entropy Threshold as a Physical Mechanism for Explaining Tree-like Decision Making in Humans. Entropy 24 (12) (2022)
Eldar Kurtic, Daniel Campos, Tuan Nguyen, Elias Frantar, Mark Kurtz, Benjamin Fineran, Michael Goin, Dan Alistarh
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models. EMNLP (2022)
Daniel Campos, T. J. OConnor
Towards Labeling On-Demand IoT Traffic. CSET @ USENIX Security Symposium (2021)
Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. CoRR (2021)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. SIGIR (2021)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos
Overview of the TREC 2020 deep learning track. CoRR (2021)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. SIGIR (2021)
Daniel Campos
Curriculum learning for language modeling. CoRR (2021)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. CoRR (2021)
Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. SIGIR (2021)
Daniel Campos, Heng Ji
IMG2SMI: Translating Molecular Structure Images to Simplified Molecular-input Line-entry System. CoRR (2021)
T. J. OConnor, Dylan Jessee, Daniel Campos
Through the Spyglass: Towards IoT Companion App Man-in-the-Middle Attacks. CSET @ USENIX Security Symposium (2021)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. CoRR (2021)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin
Overview of the TREC 2021 Deep Learning Track. TREC (2021)
Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck
ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search. CIKM (2020)
Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos
On the Reliability of Test Collections for Evaluating Systems of Different Types. CoRR (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 Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou
XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. EMNLP (1) (2020)
Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos
On the Reliability of Test Collections for Evaluating Systems of Different Types. SIGIR (2020)
Corbin Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul N. Bennett
Leading Conversational Search by Suggesting Useful Questions. WWW (2020)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos
Overview of the TREC 2020 Deep Learning Track. TREC (2020)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees
Overview of the TREC 2019 deep learning track. CoRR (2020)
Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck
ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search. CoRR (2020)
Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk
Open Domain Web Keyphrase Extraction Beyond Language Modeling. CoRR (2019)
Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk
Open Domain Web Keyphrase Extraction Beyond Language Modeling. EMNLP/IJCNLP (1) (2019)
Daniel Campos, Zoe Konrad
Experiments in Inferring Social Networks of Diffusion. CoRR (2019)
David Ortega, Juan-José Ibáñez, Daniel Campos, Lamya Khalidi, Vicenç Méndez, Luís Teira
Systems of Interaction between the First Sedentary Villages in the Near East Exposed Using Agent-Based Modelling of Obsidian Exchange. Syst. 4 (2) (2016)
John Atkinson, Daniel Campos
Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers. Expert Syst. Appl. 47 (2016)
Daniel Campos, Luis Gerardo Guerrero-Ojeda, Vicente Alarcón Aquino, David Báez-López
Satellite-Indoor Mobile Communications Path Propagation Losses. CONIELECOMP (2006)
Marcela Varas, A. Ricardo Contreras, Daniel Campos
Constraints in Generalization Structures in Conceptual Database Schemes. SCCC (1998)