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2020 – today
- 2024
[c25]Hossein A. Rahmani
, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos:
Synthetic Test Collections for Retrieval Evaluation. SIGIR 2024: 2647-2651- [i26]Luke Merrick, Danmei Xu, Gaurav Nuti, Daniel Campos:
Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models. CoRR abs/2405.05374 (2024) - [i25]Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos:
Synthetic Test Collections for Retrieval Evaluation. CoRR abs/2405.07767 (2024) - [i24]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 abs/2406.16828 (2024) - [i23]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 abs/2407.09619 (2024) - [i22]Shivani Upadhyay, Ronak Pradeep, Nandan Thakur, Daniel Campos, Nick Craswell, Ian Soboroff, Hoa Trang Dang, Jimmy Lin:
A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look. CoRR abs/2411.08275 (2024) - [i21]Ronak Pradeep, Nandan Thakur, Shivani Upadhyay, Daniel Campos, Nick Craswell, Jimmy Lin:
Initial Nugget Evaluation Results for the TREC 2024 RAG Track with the AutoNuggetizer Framework. CoRR abs/2411.09607 (2024) - 2023
- [c24]Daniel Campos, Daniel J. Perry, Samir Joshi, Yashmeet Gambhir, Wei Du, Zhengzheng Xing, Aaron Colak:
Compressing Cross-Lingual Multi-Task Models at Qualtrics. AAAI 2023: 15661-15667 - [c23]T. J. OConnor, Dylan Jessee, Daniel Campos:
Towards Examining The Security Cost of Inexpensive Smart Home IoT Devices. COMPSAC 2023: 1293-1298 - [c22]Daniel Campos, Alexandre Marques, Mark Kurtz, ChengXiang Zhai:
oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes. SustaiNLP 2023: 39-58 - [c21]Daniel Campos, Alessandro Magnani, Chengxiang Zhai:
Quick Dense Retrievers Consume KALE: Post Training KullbackLeibler Alignment of Embeddings for Asymmetrical dual encoders. SustaiNLP 2023: 59-77 - [c20]Daniel Campos, Chengxiang Zhai:
To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency. SustaiNLP 2023: 91-109 - [c19]Daniel Campos, Surya Kallumadi, Corby Rosset, Cheng Xiang Zhai, Alessandro Magnani:
OVERVIEW OF THE TREC 2023 PRODUCT PRODUCT SEARCH TRACK. TREC 2023 - [c18]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Hossein A. Rahmani, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff:
Overview of the TREC 2023 Deep Learning Track. TREC 2023 - [i20]Daniel Campos, Alexandre Marques, Mark Kurtz, ChengXiang Zhai:
oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes. CoRR abs/2303.17612 (2023) - [i19]Daniel Campos, ChengXiang Zhai:
Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval. CoRR abs/2304.00114 (2023) - [i18]Daniel Campos, Alessandro Magnani, ChengXiang Zhai:
Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders. CoRR abs/2304.01016 (2023) - [i17]Daniel Campos, ChengXiang Zhai:
To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency. CoRR abs/2304.02721 (2023) - [i16]Daniel Campos, ChengXiang Zhai, Alessandro Magnani:
Noise-Robust Dense Retrieval via Contrastive Alignment Post Training. CoRR abs/2304.03401 (2023) - [i15]Daniel Campos, Surya Kallumadi, Corby Rosset, ChengXiang Zhai, Alessandro Magnani:
Overview of the TREC 2023 Product Product Search Track. CoRR abs/2311.07861 (2023) - 2022
- [j3]Javier Cristín, Vicenç Méndez, Daniel Campos:
Informational Entropy Threshold as a Physical Mechanism for Explaining Tree-like Decision Making in Humans. Entropy 24(12): 1819 (2022) - [c17]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: 4163-4181 - [c16]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: 2939-2948 - [c15]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 - [i14]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 abs/2203.07259 (2022) - [i13]Daniel Campos, Alexandre Marques, Tuan Nguyen, Mark Kurtz, ChengXiang Zhai:
Sparse*BERT: Sparse Models are Robust. CoRR abs/2205.12452 (2022) - [i12]Daniel Campos, Daniel J. Perry, Samir Joshi, Yashmeet Gambhir, Wei Du, Zhengzheng Xing, Aaron Colak:
Compressing Cross-Lingual Multi-Task Models at Qualtrics. CoRR abs/2211.15927 (2022) - 2021
- [c14]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. SIGIR 2021: 1566-1576 - [c13]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: 2283-2287 - [c12]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: 2369-2375 - [c11]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
Overview of the TREC 2021 Deep Learning Track. TREC 2021 - [c10]Daniel Campos, T. J. OConnor:
Towards Labeling On-Demand IoT Traffic. CSET @ USENIX Security Symposium 2021: 49-57 - [c9]T. J. OConnor, Dylan Jessee, Daniel Campos:
Through the Spyglass: Towards IoT Companion App Man-in-the-Middle Attacks. CSET @ USENIX Security Symposium 2021: 58-62 - [i11]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos:
Overview of the TREC 2020 deep learning track. CoRR abs/2102.07662 (2021) - [i10]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 abs/2102.12887 (2021) - [i9]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 abs/2104.09399 (2021) - [i8]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. CoRR abs/2105.04021 (2021) - [i7]Daniel Campos:
Curriculum learning for language modeling. CoRR abs/2108.02170 (2021) - [i6]Daniel Campos, Heng Ji:
IMG2SMI: Translating Molecular Structure Images to Simplified Molecular-input Line-entry System. CoRR abs/2109.04202 (2021) - 2020
- [c8]Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck:
ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search. CIKM 2020: 2983-2989 - [c7]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: 6008-6018 - [c6]Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos:
On the Reliability of Test Collections for Evaluating Systems of Different Types. SIGIR 2020: 2101-2104 - [c5]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos:
Overview of the TREC 2020 Deep Learning Track. TREC 2020 - [c4]Corbin Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul N. Bennett:
Leading Conversational Search by Suggesting Useful Questions. WWW 2020: 1160-1170 - [i5]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees:
Overview of the TREC 2019 deep learning track. CoRR abs/2003.07820 (2020) - [i4]Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos:
On the Reliability of Test Collections for Evaluating Systems of Different Types. CoRR abs/2004.13486 (2020) - [i3]Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck:
ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search. CoRR abs/2006.05324 (2020)
2010 – 2019
- 2019
- [c3]Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk:
Open Domain Web Keyphrase Extraction Beyond Language Modeling. EMNLP/IJCNLP (1) 2019: 5174-5183 - [i2]Daniel Campos, Zoe Konrad:
Experiments in Inferring Social Networks of Diffusion. CoRR abs/1910.04277 (2019) - [i1]Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk:
Open Domain Web Keyphrase Extraction Beyond Language Modeling. CoRR abs/1911.02671 (2019) - 2016
- [j2]John Atkinson, Daniel Campos:
Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers. Expert Syst. Appl. 47: 35-41 (2016) - [j1]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): 18 (2016)
2000 – 2009
- 2006
- [c2]Daniel Campos, Luis Gerardo Guerrero-Ojeda, Vicente Alarcón Aquino, David Báez-López:
Satellite-Indoor Mobile Communications Path Propagation Losses. CONIELECOMP 2006: 4
1990 – 1999
- 1998
- [c1]Marcela Varas, A. Ricardo Contreras, Daniel Campos:
Constraints in Generalization Structures in Conceptual Database Schemes. SCCC 1998: 202-
Coauthor Index
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last updated on 2025-01-04 03:13 CET by the dblp team
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