An Evolutionary-Based Method for Reconstructing Conversation Threads in Email Corpora. - Mostafa Dehghani 001; Masoud Asadpour; Azadeh Shakery (ASONAM, 2012)

A Supervised Approach for Reconstructing Thread Structure in Comments on Blogs and Online News Agencies (El enfoque supervisado para reconstrucción de la estructura de hilos en comentarios en blogs y agencias de noticias en línea). - Ali Balali; Heshaam Faili; Masoud Asadpour; Mostafa Dehghani 001 (Computación y Sistemas, 2013)

A learning approach for email conversation thread reconstruction. - Mostafa Dehghani 001; Azadeh Shakery; Masoud Asadpour; Arash Koushkestani (J. Inf. Sci., 2013)

Expanded N-Grams for Semantic Text Alignment Notebook for PAN at CLEF 2014. - Samira Abnar; Mostafa Dehghani 001; Hamed Zamani; Azadeh Shakery (CLEF (Working Notes), 2014)

Authorship Identification Using Dynamic Selection of Features from Probabilistic Feature Set. - Hamed Zamani; Hossein Nasr Esfahani; Pariya Babaie; Samira Abnar; Mostafa Dehghani 001; Azadeh Shakery (CLEF, 2014)

Entity linking by focusing DBpedia candidate entities. - Alex Olieman; Hosein Azarbonyad; Mostafa Dehghani 001; Jaap Kamps; Maarten Marx (ERD@SIGIR, 2014)

Meta Text Aligner: Text Alignment Based on Predicted Plagiarism Relation. - Samira Abnar; Mostafa Dehghani 001; Azadeh Shakery (CLEF, 2015)

Are Topically Diverse Documents Also Interesting? - Hosein Azarbonyad; Ferron Saan; Mostafa Dehghani 001; Maarten Marx; Jaap Kamps (CLEF, 2015)

Sources of Evidence for Automatic Indexing of Political Texts. - Mostafa Dehghani 001; Hosein Azarbonyad; Maarten Marx; Jaap Kamps (ECIR, 2015)

Revisiting Optimal Rank Aggregation: A Dynamic Programming Approach. - Shayan A. Tabrizi; Javid Dadashkarimi; Mostafa Dehghani 001; Hassan Nasr Esfahani; Azadeh Shakery (ICTIR, 2015)

Time-Aware Authorship Attribution for Short Text Streams. - Hosein Azarbonyad; Mostafa Dehghani 001; Maarten Marx; Jaap Kamps (SIGIR, 2015)

Parsimonious User and Group Profiling in Venue Recommendation. - Seyyed Hadi Hashemi; Mostafa Dehghani 001; Jaap Kamps (TREC, 2015)

Generalized Group Profiling for Content Customization. - Mostafa Dehghani 001; Hosein Azarbonyad; Jaap Kamps; Maarten Marx (CHIIR, 2016)

The Healing Power of Poison: Helpful Non-relevant Documents in Feedback. - Mostafa Dehghani 001; Samira Abnar; Jaap Kamps (CIKM, 2016)

Luhn Revisited: Significant Words Language Models. - Mostafa Dehghani 001; Hosein Azarbonyad; Jaap Kamps; Djoerd Hiemstra; Maarten Marx (CIKM, 2016)

Two-Way Parsimonious Classification Models for Evolving Hierarchies. - Mostafa Dehghani 001; Hosein Azarbonyad; Jaap Kamps; Maarten Marx (CLEF, 2016)

Distributional Semantics for Medical Information Extraction. - Lautaro Quiroz; Lydia Mennes; Mostafa Dehghani 001; Evangelos Kanoulas (CLEF (Working Notes), 2016)

On Horizontal and Vertical Separation in Hierarchical Text Classification. - Mostafa Dehghani 001; Hosein Azarbonyad; Jaap Kamps; Maarten Marx (ICTIR, 2016)

Significant Words Representations of Entities. - Mostafa Dehghani 001 (SIGIR, 2016)

Significant Words Language Models for Contextual Suggestion. - Mostafa Dehghani 001; Jaap Kamps; Hosein Azarbonyad; Maarten Marx (TREC, 2016)

Alecsa: Attentive Learning for Email Categorization using Structural Aspects. - Mostafa Dehghani 001; Azadeh Shakery; Maryam S. Mirian (Knowl. Based Syst., 2016)

Building a multi-domain comparable corpus using a learning to rank method. - Razieh Rahimi; Azadeh Shakery; Javid Dadashkarimi; Mozhdeh Ariannezhad; Mostafa Dehghani 001; Hossein Nasr Esfahani (Nat. Lang. Eng., 2016)

Telling How to Narrow it Down: Browsing Path Recommendation for Exploratory Search. - Mostafa Dehghani 001; Glorianna Jagfeld; Hosein Azarbonyad; Alex Olieman; Jaap Kamps; Maarten Marx (CHIIR, 2017)

Words are Malleable: Computing Semantic Shifts in Political and Media Discourse. - Hosein Azarbonyad; Mostafa Dehghani 001; Kaspar Beelen; Alexandra Arkut; Maarten Marx; Jaap Kamps (CIKM, 2017)

Learning to Attend, Copy, and Generate for Session-Based Query Suggestion. - Mostafa Dehghani 001; Sascha Rothe; Enrique Alfonseca; Pascal Fleury (CIKM, 2017)

Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity. - Hosein Azarbonyad; Mostafa Dehghani 001; Tom Kenter; Maarten Marx; Jaap Kamps; Maarten de Rijke (ECIR, 2017)

On Search Powered Navigation. - Mostafa Dehghani 001; Glorianna Jagfeld; Hosein Azarbonyad; Alex Olieman; Jaap Kamps; Maarten Marx (ICTIR, 2017)

Neural Ranking Models with Weak Supervision. - Mostafa Dehghani 001; Hamed Zamani; Aliaksei Severyn; Jaap Kamps; W. Bruce Croft (SIGIR, 2017)

Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking. - Mostafa Dehghani 001; Hosein Azarbonyad; Jaap Kamps; Maarten de Rijke (CoRR, 2017)

Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision. - Mostafa Dehghani 001; Aliaksei Severyn; Sascha Rothe; Jaap Kamps (CoRR, 2017)

Learning to Learn from Weak Supervision by Full Supervision. - Mostafa Dehghani 001; Aliaksei Severyn; Sascha Rothe; Jaap Kamps (CoRR, 2017)

Toward Document Understanding for Information Retrieval. - Mostafa Dehghani 001 (SIGIR Forum, 2017)

From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. - Hamed Zamani; Mostafa Dehghani 001; W. Bruce Croft; Erik G. Learned-Miller; Jaap Kamps (CIKM, 2018)

Fidelity-Weighted Learning. - Mostafa Dehghani 001; Arash Mehrjou; Stephan Gouws; Jaap Kamps; Bernhard Schölkopf (ICLR (Poster), 2018)

SIGIR 2018 Workshop on Learning from Limited or Noisy Data for Information Retrieval. - Hamed Zamani; Mostafa Dehghani 001; Fernando Diaz 001; Hang Li 001; Nick Craswell (SIGIR, 2018)

Neural Networks for Information Retrieval. - Tom Kenter; Alexey Borisov; Christophe Van Gysel; Mostafa Dehghani 001; Maarten de Rijke; Bhaskar Mitra 001 (WSDM, 2018)

Learning to Rank from Samples of Variable Quality. - Mostafa Dehghani 001; Jaap Kamps (CoRR, 2018)

Expert finding by the Dempster-Shafer theory for evidence combination. - Nafiseh Torkzadeh Mahani; Mostafa Dehghani 001; Maryam S. Mirian; Azadeh Shakery; Khalil Taheri (Expert Syst. J. Knowl. Eng., 2018)

Universal Transformers. - Mostafa Dehghani 001; Stephan Gouws; Oriol Vinyals; Jakob Uszkoreit; Lukasz Kaiser (ICLR (Poster), 2019)

Learning to Transform, Combine, and Reason in Open-Domain Question Answering. - Mostafa Dehghani 001; Hosein Azarbonyad; Jaap Kamps; Maarten de Rijke (WSDM, 2019)

HiTR: Hierarchical Topic Model Re-Estimation for Measuring Topical Diversity of Documents. - Hosein Azarbonyad; Mostafa Dehghani 001; Tom Kenter; Maarten Marx; Jaap Kamps; Maarten de Rijke (IEEE Trans. Knowl. Data Eng., 2019)

MetNet: A Neural Weather Model for Precipitation Forecasting. - Casper Kaae Sønderby; Lasse Espeholt; Jonathan Heek; Mostafa Dehghani 001; Avital Oliver; Tim Salimans; Shreya Agrawal; Jason Hickey; Nal Kalchbrenner (CoRR, 2020)

Transferring Inductive Biases through Knowledge Distillation. - Samira Abnar; Mostafa Dehghani 001; Willem H. Zuidema (CoRR, 2020)

Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks. - Rabeeh Karimi Mahabadi; Sebastian Ruder; Mostafa Dehghani 001; James Henderson 001 (ACL/IJCNLP (1), 2021)

Are Pretrained Convolutions Better than Pretrained Transformers? - Yi Tay; Mostafa Dehghani 001; Jai Prakash Gupta 001; Vamsi Aribandi; Dara Bahri; Zhen Qin 001; Donald Metzler (ACL/IJCNLP (1), 2021)

ViViT: A Video Vision Transformer. - Anurag Arnab; Mostafa Dehghani 001; Georg Heigold; Chen Sun 002; Mario Lucic; Cordelia Schmid (ICCV, 2021)

IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression. - Rianne van den Berg; Alexey A. Gritsenko; Mostafa Dehghani 001; Casper Kaae Sønderby; Tim Salimans (ICLR, 2021)

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. - Alexey Dosovitskiy; Lucas Beyer; Alexander Kolesnikov 003; Dirk Weissenborn; Xiaohua Zhai; Thomas Unterthiner; Mostafa Dehghani 001; Matthias Minderer; Georg Heigold; Sylvain Gelly; Jakob Uszkoreit; Neil Houlsby (ICLR, 2021)

Long Range Arena : A Benchmark for Efficient Transformers. - Yi Tay; Mostafa Dehghani 001; Samira Abnar; Yikang Shen; Dara Bahri; Philip Pham; Jinfeng Rao; Liu Yang; Sebastian Ruder; Donald Metzler (ICLR, 2021)

OmniNet: Omnidirectional Representations from Transformers. - Yi Tay; Mostafa Dehghani 001; Vamsi Aribandi; Jai Prakash Gupta 001; Philip Pham; Zhen Qin 001; Dara Bahri; Da-Cheng Juan; Donald Metzler (ICML, 2021)

TokenLearner: Adaptive Space-Time Tokenization for Videos. - Michael S. Ryoo; A. J. Piergiovanni; Anurag Arnab; Mostafa Dehghani 001; Anelia Angelova (NeurIPS, 2021)

Are Pre-trained Convolutions Better than Pre-trained Transformers? - Yi Tay; Mostafa Dehghani 001; Jai Prakash Gupta 001; Dara Bahri; Vamsi Aribandi; Zhen Qin 001; Donald Metzler (CoRR, 2021)

Gradual Domain Adaptation in the Wild: When Intermediate Distributions are Absent. - Samira Abnar; Rianne van den Berg; Golnaz Ghiasi; Mostafa Dehghani 001; Nal Kalchbrenner; Hanie Sedghi (CoRR, 2021)

TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? - Michael S. Ryoo; A. J. Piergiovanni; Anurag Arnab; Mostafa Dehghani 001; Anelia Angelova (CoRR, 2021)

The Benchmark Lottery. - Mostafa Dehghani 001; Yi Tay; Alexey A. Gritsenko; Zhe Zhao 001; Neil Houlsby; Fernando Diaz 001; Donald Metzler; Oriol Vinyals (CoRR, 2021)

Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers. - Yi Tay; Mostafa Dehghani 001; Jinfeng Rao; William Fedus; Samira Abnar; Hyung Won Chung; Sharan Narang; Dani Yogatama; Ashish Vaswani; Donald Metzler (CoRR, 2021)

PolyViT: Co-training Vision Transformers on Images, Videos and Audio. - Valerii Likhosherstov; Anurag Arnab; Krzysztof Choromanski; Mario Lucic; Yi Tay; Adrian Weller; Mostafa Dehghani 001 (CoRR, 2021)

VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface Modeling. - Yang Li 058; Gang Li 021; Xin Zhou 018; Mostafa Dehghani 001; Alexey A. Gritsenko (CoRR, 2021)

Learning to rank for multi-label text classification: Combining different sources of information. - Hosein Azarbonyad; Mostafa Dehghani 001; Maarten Marx; Jaap Kamps (Nat. Lang. Eng., 2021)

Intersection of Parallels as an Early Stopping Criterion. - Ali Vardasbi; Maarten de Rijke; Mostafa Dehghani 001 (CIKM, 2022)

SCENIC: A JAX Library for Computer Vision Research and Beyond. - Mostafa Dehghani 001; Alexey A. Gritsenko; Anurag Arnab; Matthias Minderer; Yi Tay (CVPR, 2022)

Simple Open-Vocabulary Object Detection. - Matthias Minderer; Alexey A. Gritsenko; Austin Stone; Maxim Neumann; Dirk Weissenborn; Alexey Dosovitskiy; Aravindh Mahendran; Anurag Arnab; Mostafa Dehghani 001; Zhuoran Shen; Xiao Wang 038; Xiaohua Zhai; et al. (ECCV (10), 2022)

The Efficiency Misnomer. - Mostafa Dehghani 001; Yi Tay; Anurag Arnab; Lucas Beyer; Ashish Vaswani (ICLR, 2022)

Exploring the Limits of Large Scale Pre-training. - Samira Abnar; Mostafa Dehghani 001; Behnam Neyshabur; Hanie Sedghi (ICLR, 2022)

Discrete Representations Strengthen Vision Transformer Robustness. - Chengzhi Mao; Lu Jiang 004; Mostafa Dehghani 001; Carl Vondrick; Rahul Sukthankar; Irfan Essa (ICLR, 2022)

Scale Efficiently: Insights from Pretraining and Finetuning Transformers. - Yi Tay; Mostafa Dehghani 001; Jinfeng Rao; William Fedus; Samira Abnar; Hyung Won Chung; Sharan Narang; Dani Yogatama; Ashish Vaswani; Donald Metzler (ICLR, 2022)

Confident Adaptive Language Modeling. - Tal Schuster; Adam Fisch; Jai Gupta 001; Mostafa Dehghani 001; Dara Bahri; Vinh Tran 002; Yi Tay; Donald Metzler (NeurIPS, 2022)

Transformer Memory as a Differentiable Search Index. - Yi Tay; Vinh Tran 002; Mostafa Dehghani 001; Jianmo Ni; Dara Bahri; Harsh Mehta; Zhen Qin 001; Kai Hui 001; Zhe Zhao 001; Jai Prakash Gupta 001; Tal Schuster; William W. Cohen; et al. (NeurIPS, 2022)

Retrieval-Enhanced Machine Learning. - Hamed Zamani; Fernando Diaz 001; Mostafa Dehghani 001; Donald Metzler; Michael Bendersky (SIGIR, 2022)

Unifying Language Learning Paradigms. - Yi Tay; Mostafa Dehghani 001; Vinh Q. Tran 002; Xavier Garcia; Dara Bahri; Tal Schuster; Huaixiu Steven Zheng; Neil Houlsby; Donald Metzler (CoRR, 2022)

Simple Open-Vocabulary Object Detection with Vision Transformers. - Matthias Minderer; Alexey A. Gritsenko; Austin Stone; Maxim Neumann; Dirk Weissenborn; Alexey Dosovitskiy; Aravindh Mahendran; Anurag Arnab; Mostafa Dehghani 001; Zhuoran Shen; Xiao Wang 038; Xiaohua Zhai; et al. (CoRR, 2022)

Beyond Transfer Learning: Co-finetuning for Action Localisation. - Anurag Arnab; Xuehan Xiong; Alexey A. Gritsenko; Rob Romijnders; Josip Djolonga; Mostafa Dehghani 001; Chen Sun 002; Mario Lucic; Cordelia Schmid (CoRR, 2022)

Λ-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells. - Sajad Movahedi; Melika Adabinejad; Ayyoob Imani; Arezou Keshavarz; Mostafa Dehghani 001; Azadeh Shakery; Babak Nadjar Araabi (CoRR, 2022)

Scaling Instruction-Finetuned Language Models. - Hyung Won Chung; Le Hou; Shayne Longpre; Barret Zoph; Yi Tay; William Fedus; Eric Li; Xuezhi Wang 002; Mostafa Dehghani 001; Siddhartha Brahma; Albert Webson; Shixiang Shane Gu; et al. (CoRR, 2022)

Automated Deep Aberration Detection from Chromosome Karyotype Images. - Zahra Shamsi; Drew Bryant; Jacob Wilson; Xiaoyu Qu; Avinava Dubey; Konik Kothari; Mostafa Dehghani 001; Mariya Chavarha; Valerii Likhosherstov; Brian Williams; Michael Frumkin; Fred Appelbaum; et al. (CoRR, 2022)

DSI++: Updating Transformer Memory with New Documents. - Sanket Vaibhav Mehta; Jai Gupta 001; Yi Tay; Mostafa Dehghani 001; Vinh Q. Tran 002; Jinfeng Rao; Marc Najork; Emma Strubell; Donald Metzler (EMNLP, 2023)

Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? - Yi Tay; Mostafa Dehghani 001; Samira Abnar; Hyung Won Chung; William Fedus; Jinfeng Rao; Sharan Narang; Vinh Q. Tran 002; Dani Yogatama; Donald Metzler (EMNLP (Findings), 2023)

Transcending Scaling Laws with 0.1% Extra Compute. - Yi Tay; Jason Wei; Hyung Won Chung; Vinh Q. Tran 002; David R. So; Siamak Shakeri; Xavier Garcia; Huaixiu Steven Zheng; Jinfeng Rao; Aakanksha Chowdhery; Denny Zhou; Donald Metzler; et al. (EMNLP, 2023)

How (not) to ensemble LVLMs for VQA. - Lisa Alazraki; Lluís Castrejón; Mostafa Dehghani 001; Fantine Huot; Jasper R. R. Uijlings; Thomas Mensink (ICBINB, 2023)

Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints. - Aran Komatsuzaki; Joan Puigcerver; James Lee-Thorp; Carlos Riquelme Ruiz; Basil Mustafa; Joshua Ainslie; Yi Tay; Mostafa Dehghani 001; Neil Houlsby (ICLR, 2023)

$ Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells. - Sajad Movahedi; Melika Adabinejad; Ayyoob Imani; Arezou Keshavarz; Mostafa Dehghani 001; Azadeh Shakery; Babak Nadjar Araabi (ICLR, 2023)

L2 Norm Guided Adaptive Computation. - Mani Shemiranifar; Mostafa Dehghani 001 (Tiny Papers @ ICLR, 2023)

UL2: Unifying Language Learning Paradigms. - Yi Tay; Mostafa Dehghani 001; Vinh Q. Tran 002; Xavier Garcia; Jason Wei; Xuezhi Wang 002; Hyung Won Chung; Dara Bahri; Tal Schuster; Huaixiu Steven Zheng; Denny Zhou; Neil Houlsby; et al. (ICLR, 2023)

Scaling Vision Transformers to 22 Billion Parameters. - Mostafa Dehghani 001; Josip Djolonga; Basil Mustafa; Piotr Padlewski; Jonathan Heek; Justin Gilmer; Andreas Peter Steiner; Mathilde Caron; Robert Geirhos; Ibrahim Alabdulmohsin; Rodolphe Jenatton; Lucas Beyer; et al. (ICML, 2023)

Adaptive Computation with Elastic Input Sequence. - Fuzhao Xue; Valerii Likhosherstov; Anurag Arnab; Neil Houlsby; Mostafa Dehghani 001; Yang You 001 (ICML, 2023)

Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. - Mostafa Dehghani 001; Basil Mustafa; Josip Djolonga; Jonathan Heek; Matthias Minderer; Mathilde Caron; Andreas Steiner 001; Joan Puigcerver; Robert Geirhos; Ibrahim M. Alabdulmohsin; Avital Oliver; Piotr Padlewski; et al. (NeurIPS, 2023)

PaLM 2 Technical Report. - Rohan Anil; Andrew M. Dai; Orhan Firat; Melvin Johnson; Dmitry Lepikhin; Alexandre Passos; Siamak Shakeri; Emanuel Taropa; Paige Bailey; Zhifeng Chen; Eric Chu; Jonathan H. Clark; et al. (CoRR, 2023)

PaLI-X: On Scaling up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CoRR, 2023)

Group Membership Bias. - Ali Vardasbi; Maarten de Rijke; Fernando Diaz 001; Mostafa Dehghani 001 (CoRR, 2023)

Parameter-Efficient Multilingual Summarisation: An Empirical Study. - Chenxi Whitehouse; Fantine Huot; Jasmijn Bastings; Mostafa Dehghani 001; Chu-Cheng Lin; Mirella Lapata (CoRR, 2023)

Efficient Transformers: A Survey. - Yi Tay; Mostafa Dehghani 001; Dara Bahri; Donald Metzler (ACM Comput. Surv., 2023)

Dual PatchNorm. - Manoj Kumar; Mostafa Dehghani 001; Neil Houlsby (Trans. Mach. Learn. Res., 2023)

PolyViT: Co-training Vision Transformers on Images, Videos and Audio. - Valerii Likhosherstov; Anurag Arnab; Krzysztof Marcin Choromanski; Mario Lucic; Yi Tay; Mostafa Dehghani 001 (Trans. Mach. Learn. Res., 2023)

Frozen Feature Augmentation for Few-Shot Image Classification. - Andreas Bär; Neil Houlsby; Mostafa Dehghani 001; Manoj Kumar (CVPR, 2024)

On Scaling Up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CVPR, 2024)

End-to-End Spatio-Temporal Action Localisation with Video Transformers. - Alexey A. Gritsenko; Xuehan Xiong; Josip Djolonga; Mostafa Dehghani 001; Chen Sun 002; Mario Lucic; Cordelia Schmid; Anurag Arnab (CVPR, 2024)

Low-Rank Adaptation for Multilingual Summarization: An Empirical Study. - Chenxi Whitehouse; Fantine Huot; Jasmijn Bastings; Mostafa Dehghani 001; Chu-Cheng Lin; Mirella Lapata (NAACL-HLT (Findings), 2024)

Fractal Patterns May Illuminate the Success of Next-Token Prediction. - Ibrahim M. Alabdulmohsin; Vinh Q. Tran 002; Mostafa Dehghani 001 (NeurIPS, 2024)

The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking. - Ali Vardasbi; Maarten de Rijke; Fernando Diaz 001; Mostafa Dehghani 001 (SIGIR, 2024)

Fractal Patterns May Unravel the Intelligence in Next-Token Prediction. - Ibrahim Alabdulmohsin; Vinh Q. Tran 002; Mostafa Dehghani 001 (CoRR, 2024)

Scaling Instruction-Finetuned Language Models. - Hyung Won Chung; Le Hou; Shayne Longpre; Barret Zoph; Yi Tay; William Fedus; Yunxuan Li; Xuezhi Wang 002; Mostafa Dehghani 001; Siddhartha Brahma; Albert Webson; Shixiang Shane Gu; et al. (J. Mach. Learn. Res., 2024)

Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers. - David Rau; Mostafa Dehghani 001; Jaap Kamps (ACM Trans. Inf. Syst., 2024)