Bahare Fatemi

41 papers A* 12A 1Journal 26Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
BIG-Bench Extra Hard.
ACL (1)
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
2025 J jnl
BIG-Bench Extra Hard.
CoRR
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
2025 — conf
CausalGraph2LLM: Evaluating LLMs for Causal Queries.
NAACL (Findings)
Ivaxi Sheth, Bahare Fatemi, Mario Fritz
2025 J jnl
Multi-Turn Puzzles: Evaluating Interactive Reasoning and Strategic Dialogue in LLMs.
CoRR
Kartikeya Badola, Jonathan Simon, Arian Hosseini, Sara Marie Mc Carthy, Tsendsuren Munkhdalai, Abhimanyu Goyal, Tomás Kociský, Shyam Upadhyay, Bahare Fatemi, Mehran Kazemi
2025 A* conf
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning.
ICLR
Bahare Fatemi, Mehran Kazemi, Anton Tsitsulin, Karishma Malkan, Jinyeong Yim, John Palowitch, Sungyong Seo, Jonathan Halcrow, Bryan Perozzi
2024 J jnl
CausalGraph2LLM: Evaluating LLMs for Causal Queries.
CoRR
Ivaxi Sheth, Bahare Fatemi, Mario Fritz
2024 J jnl
Don't Forget to Connect! Improving RAG with Graph-based Reranking.
CoRR
Jialin Dong, Bahare Fatemi, Bryan Perozzi, Lin F. Yang, Anton Tsitsulin
2024 A* conf
Graph Reasoning with LLMs (GReaL).
KDD
Anton Tsitsulin, Bryan Perozzi, Bahare Fatemi, Jonathan J. Halcrow
2024 J jnl
Let Your Graph Do the Talking: Encoding Structured Data for LLMs.
CoRR
Bryan Perozzi, Bahare Fatemi, Dustin Zelle, Anton Tsitsulin, Seyed Mehran Kazemi, Rami Al-Rfou, Jonathan Halcrow
2024 J jnl
Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries.
CoRR
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
2024 A* conf
ReMI: A Dataset for Reasoning with Multiple Images.
NeurIPS
Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Sreenivas Gollapudi, Dee Guo, Ahmed Qureshi
2024 J jnl
ReMI: A Dataset for Reasoning with Multiple Images.
CoRR
Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Dee Guo, Sreenivas Gollapudi, Ahmed Qureshi
2024 A* conf
Talk like a Graph: Encoding Graphs for Large Language Models.
ICLR
Bahare Fatemi, Jonathan Halcrow, Bryan Perozzi
2024 J jnl
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning.
CoRR
Bahare Fatemi, Mehran Kazemi, Anton Tsitsulin, Karishma Malkan, Jinyeong Yim, John Palowitch, Sungyong Seo, Jonathan Halcrow, Bryan Perozzi
2024 A* conf
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.
NeurIPS
Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
2024 J jnl
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.
CoRR
Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
2024 A* conf
Understanding Transformer Reasoning Capabilities via Graph Algorithms.
NeurIPS
Clayton Sanford, Bahare Fatemi, Ethan Hall, Anton Tsitsulin, Mehran Kazemi, Jonathan Halcrow, Bryan Perozzi, Vahab Mirrokni
2024 J jnl
Understanding Transformer Reasoning Capabilities via Graph Algorithms.
CoRR
Clayton Sanford, Bahare Fatemi, Ethan Hall, Anton Tsitsulin, Seyed Mehran Kazemi, Jonathan Halcrow, Bryan Perozzi, Vahab Mirrokni
2023 A* conf
19th International Workshop on Mining and Learning with Graphs (MLG).
KDD
Neil Shah, Shobeir Fakhraei, Da Zheng, Bahare Fatemi, Leman Akoglu
2023 J jnl
Geometric deep learning of particle motion by MAGIK.
Nat. Mac. Intell.
Bahare Fatemi, Jonathan Halcrow, Khuloud Jaqaman
2023 J jnl
Knowledge Hypergraph Embedding Meets Relational Algebra.
J. Mach. Learn. Res.
Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole
2023 J jnl
Learning to Substitute Ingredients in Recipes.
CoRR
Bahare Fatemi, Quentin Duval, Rohit Girdhar, Michal Drozdzal, Adriana Romero-Soriano
2023 A conf
SubMix: Learning to Mix Graph Sampling Heuristics.
UAI
Sami Abu-El-Haija, Joshua V. Dillon, Bahare Fatemi, Kyriakos Axiotis, Neslihan Bulut, Johannes Gasteiger, Bryan Perozzi, MohammadHossein Bateni
2023 J jnl
Talk like a Graph: Encoding Graphs for Large Language Models.
CoRR
Bahare Fatemi, Jonathan Halcrow, Bryan Perozzi
2023 A* conf
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs.
NeurIPS
Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows, Charith Mendis, Bryan Perozzi
2023 J jnl
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs.
CoRR
Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Charith Mendis, Bryan Perozzi
2023 J jnl
UGSL: A Unified Framework for Benchmarking Graph Structure Learning.
CoRR
Bahare Fatemi, Sami Abu-El-Haija, Anton Tsitsulin, Seyed Mehran Kazemi, Dustin Zelle, Neslihan Bulut, Jonathan Halcrow, Bryan Perozzi
2022 J jnl
Using Graph Algorithms to Pretrain Graph Completion Transformers.
CoRR
Jonathan Pilault, Michael Galkin, Bahare Fatemi, Perouz Taslakian, David Vázquez, Christopher Pal
2021 J jnl
Knowledge Hypergraph Embedding Meets Relational Algebra.
CoRR
Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole
2021 A* conf
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks.
NeurIPS
Bahare Fatemi, Layla El Asri, Seyed Mehran Kazemi
2021 J jnl
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks.
CoRR
Bahare Fatemi, Layla El Asri, Seyed Mehran Kazemi
2021 J jnl
Structure learning for relational logistic regression: an ensemble approach.
Data Min. Knowl. Discov.
Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
2020 A* conf
Knowledge Hypergraphs: Prediction Beyond Binary Relations.
IJCAI
Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole
2019 A* conf
Improved Knowledge Graph Embedding Using Background Taxonomic Information.
AAAI
Bahare Fatemi, Siamak Ravanbakhsh, David Poole
2019 J jnl
Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations.
CoRR
Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole
2018 J jnl
Improved Knowledge Graph Embedding using Background Taxonomic Information.
CoRR
Bahare Fatemi, Siamak Ravanbakhsh, David Poole
2018 J jnl
Record Linkage to Match Customer Names: A Probabilistic Approach.
CoRR
Bahare Fatemi, Seyed Mehran Kazemi, David Poole
2018 A* conf
Structure Learning for Relational Logistic Regression: An Ensemble Approach.
KR
Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
2018 J jnl
Structure Learning for Relational Logistic Regression: An Ensemble Approach.
CoRR
Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
2017 J jnl
Comparing Aggregators for Relational Probabilistic Models.
CoRR
Seyed Mehran Kazemi, Bahare Fatemi, Alexandra Kim, Zilun Peng, Moumita Roy Tora, Xing Zeng, Matthew C. Dirks, David Poole
2016 J jnl
A Learning Algorithm for Relational Logistic Regression: Preliminary Results.
CoRR
Bahare Fatemi, Seyed Mehran Kazemi, David Poole