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)

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

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

Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity. - Samira Abnar; Rasyan Ahmed; Max Mijnheer; Willem H. Zuidema (CMCL, 2018)

Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains. - Samira Abnar; Lisa Beinborn; Rochelle Choenni; Willem H. Zuidema (BlackboxNLP@ACL, 2019)

Robust Evaluation of Language-Brain Encoding Experiments. - Lisa Beinborn; Samira Abnar; Rochelle Choenni (CICLing (1), 2019)

Incremental Reading for Question Answering. - Samira Abnar; Tania Bedrax-Weiss; Tom Kwiatkowski; William W. Cohen (CoRR, 2019)

Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains. - Samira Abnar; Lisa Beinborn; Rochelle Choenni; Willem H. Zuidema (CoRR, 2019)

A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings. - Niels van der Heijden; Samira Abnar; Ekaterina Shutova (AAAI, 2020)

Quantifying Attention Flow in Transformers. - Samira Abnar; Willem H. Zuidema (ACL, 2020)

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

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)

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)

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)

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

GAUDI: A Neural Architect for Immersive 3D Scene Generation. - Miguel Ángel Bautista 001; Pengsheng Guo; Samira Abnar; Walter Talbott; Alexander Toshev; Zhuoyuan Chen; Laurent Dinh; Shuangfei Zhai; Hanlin Goh; Daniel Ulbricht; Afshin Dehghan; Joshua M. Susskind (NeurIPS, 2022)

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)

Diffusion Probabilistic Fields. - Peiye Zhuang; Samira Abnar; Jiatao Gu; Alexander G. Schwing; Joshua M. Susskind; Miguel Ángel Bautista 001 (ICLR, 2023)

Adaptivity and Modularity for Efficient Generalization Over Task Complexity. - Samira Abnar; Omid Saremi; Laurent Dinh; Shantel Wilson; Miguel Ángel Bautista 001; Chen Huang 001; Vimal Thilak; Etai Littwin; Jiatao Gu; Josh M. Susskind; Samy Bengio (CoRR, 2023)

Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP. - Chen Huang 001; Skyler Seto; Samira Abnar; David Grangier; Navdeep Jaitly; Joshua M. Susskind (NeurIPS, 2024)

Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models. - Samira Abnar; Harshay Shah; Dan Busbridge; Alaaeldin Mohamed Elnouby Ali; Joshua M. Susskind; Vimal Thilak (CoRR, 2025)

From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs. - Kumari Nishu; Sachin Mehta; Samira Abnar; Mehrdad Farajtabar; Maxwell Horton; Mahyar Najibi; Moin Nabi; Minsik Cho; Devang Naik (CoRR, 2025)

How PARTs assemble into wholes: Learning the relative composition of images. - Melika Ayoughi; Samira Abnar; Chen Huang 001; Christopher Michael Sandino; Sayeri Lala; Eeshan Gunesh Dhekane; Dan Busbridge; Shuangfei Zhai; Vimal Thilak; Joshua M. Susskind; Pascal Mettes; Paul Groth; et al. (CoRR, 2025)