Bahare Fatemi

According to our database, Bahare Fatemi authored at least 30 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Multi-Turn Puzzles: Evaluating Interactive Reasoning and Strategic Dialogue in LLMs.

Kartikeya Badola, Jonathan Simon, Arian Hosseini, Sara Marie Mc Carthy, Tsendsuren Munkhdalai, Abhimanyu Goyal, Tomás Kociský, Shyam Upadhyay, Bahare Fatemi, Mehran Kazemi

CoRR, August, 2025

BIG-Bench Extra Hard.

Mehran Kazemi, Bahare Fatemi, Hritik Bansal, John Palowitch, Chrysovalantis Anastasiou, Sanket Vaibhav Mehta, Kshitij Jain, Virginia Aglietti, Disha Jindal, Peter Chen, Nishanth Dikkala, Gladys Tyen, Xin Liu, Uri Shalit, Silvia Chiappa, Kate Olszewska, Yi Tay, Vinh Q. Tran, Quoc V. Le, Orhan Firat

CoRR, February, 2025

CausalGraph2LLM: Evaluating LLMs for Causal Queries.

Ivaxi Sheth, Bahare Fatemi, Mario Fritz

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning.

Bahare Fatemi, Mehran Kazemi, Anton Tsitsulin, Karishma Malkan, Jinyeong Yim, John Palowitch, Sungyong Seo, Jonathan Halcrow, Bryan Perozzi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

BIG-Bench Extra Hard.

Mehran Kazemi, Bahare Fatemi, Hritik Bansal, John Palowitch, Chrysovalantis Anastasiou, Sanket Vaibhav Mehta, Lalit K. Jain, Virginia Aglietti, Disha Jindal, Peter Chen, Nishanth Dikkala, Gladys Tyen, Xin Liu, Uri Shalit, Silvia Chiappa, Kate Olszewska, Yi Tay, Vinh Q. Tran, Quoc V. Le, Orhan Firat

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries.

Kiran Vodrahalli, Santiago Ontanon, Nilesh Tripuraneni, Kelvin Xu, Sanil Jain, Rakesh Shivanna, Jeffrey Hui, Nishanth Dikkala, Mehran Kazemi, Bahare Fatemi, Rohan Anil, Ethan Dyer, Siamak Shakeri, Roopali Vij, Harsh Mehta, Vinay V. Ramasesh, Quoc Le, Ed H. Chi, Yifeng Lu, Orhan Firat, Angeliki Lazaridou, Jean-Baptiste Lespiau, Nithya Attaluri, Kate Olszewska

CoRR, 2024

Don't Forget to Connect! Improving RAG with Graph-based Reranking.

Jialin Dong, Bahare Fatemi, Bryan Perozzi, Lin F. Yang, Anton Tsitsulin

CoRR, 2024

Let Your Graph Do the Talking: Encoding Structured Data for LLMs.

Bryan Perozzi, Bahare Fatemi, Dustin Zelle, Anton Tsitsulin, Seyed Mehran Kazemi, Rami Al-Rfou, Jonathan Halcrow

CoRR, 2024

Understanding Transformer Reasoning Capabilities via Graph Algorithms.

Clayton Sanford, Bahare Fatemi, Ethan Hall, Anton Tsitsulin, Mehran Kazemi, Jonathan Halcrow, Bryan Perozzi, Vahab Mirrokni

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ReMI: A Dataset for Reasoning with Multiple Images.

Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Sreenivas Gollapudi, Dee Guo, Ahmed Qureshi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.

Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Graph Reasoning with LLMs (GReaL).

Anton Tsitsulin, Bryan Perozzi, Bahare Fatemi, Jonathan J. Halcrow

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Talk like a Graph: Encoding Graphs for Large Language Models.

Bahare Fatemi, Jonathan Halcrow, Bryan Perozzi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Geometric deep learning of particle motion by MAGIK.

Bahare Fatemi, Jonathan Halcrow, Khuloud Jaqaman

Nat. Mac. Intell., May, 2023

Knowledge Hypergraph Embedding Meets Relational Algebra.

Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole

J. Mach. Learn. Res., 2023

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs.

Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Charith Mendis, Bryan Perozzi

CoRR, 2023

UGSL: A Unified Framework for Benchmarking Graph Structure Learning.

Bahare Fatemi, Sami Abu-El-Haija, Anton Tsitsulin, Seyed Mehran Kazemi, Dustin Zelle, Neslihan Bulut, Jonathan Halcrow, Bryan Perozzi

CoRR, 2023

Learning to Substitute Ingredients in Recipes.

Bahare Fatemi, Quentin Duval, Rohit Girdhar, Michal Drozdzal, Adriana Romero-Soriano

CoRR, 2023

SubMix: Learning to Mix Graph Sampling Heuristics.

Sami Abu-El-Haija, Joshua V. Dillon, Bahare Fatemi, Kyriakos Axiotis, Neslihan Bulut, Johannes Gasteiger, Bryan Perozzi, MohammadHossein Bateni

Proceedings of the Uncertainty in Artificial Intelligence, 2023

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs.

Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows, Charith Mendis, Bryan Perozzi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

19th International Workshop on Mining and Learning with Graphs (MLG).

Neil Shah, Shobeir Fakhraei, Da Zheng, Bahare Fatemi, Leman Akoglu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Using Graph Algorithms to Pretrain Graph Completion Transformers.

Jonathan Pilault, Michael Galkin, Bahare Fatemi, Perouz Taslakian, David Vázquez, Christopher Pal

CoRR, 2022

2021

Structure learning for relational logistic regression: an ensemble approach.

Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan

Data Min. Knowl. Discov., 2021

SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks.

Bahare Fatemi, Layla El Asri, Seyed Mehran Kazemi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Knowledge Hypergraphs: Prediction Beyond Binary Relations.

Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations.

Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole

CoRR, 2019

Improved Knowledge Graph Embedding Using Background Taxonomic Information.

Bahare Fatemi, Siamak Ravanbakhsh, David Poole

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Record Linkage to Match Customer Names: A Probabilistic Approach.

Bahare Fatemi, Seyed Mehran Kazemi, David Poole

CoRR, 2018

2017

Comparing Aggregators for Relational Probabilistic Models.

Seyed Mehran Kazemi, Bahare Fatemi, Alexandra Kim, Zilun Peng, Moumita Roy Tora, Xing Zeng, Matthew C. Dirks, David Poole

CoRR, 2017

2016

A Learning Algorithm for Relational Logistic Regression: Preliminary Results.

Bahare Fatemi, Seyed Mehran Kazemi, David Poole

CoRR, 2016