Faramarz Fekri
13 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (13)
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Conference Polyglot
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Academic Marathon
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The Questioner
Conferences
AAAI (5)
ACL (3)
ICLR (2)
AISTATS (1)
EMNLP (1)
IJCAI (1)
Top co-authors
Keywords
large language model
(3)
transfer learning
(3)
temporal reasoning
(3)
stochastic gradient
(2)
distributed training
(2)
logical reasoning
(2)
knowledge graph
(2)
model compression
(2)
gradient compression
(2)
program synthesis
(1)
distributed learning
(1)
chain-of-thought reasoning
(1)
causal discovery
(1)
causal structure learning
(1)
question answering
(1)
model pruning
(1)
variational inference
(1)
distributed inference
(1)
random walk
(1)
parallel computing
(1)
Papers
Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model
ACL 2025
Temporal Inductive Logic Reasoning over Hypergraphs
IJCAI 2024
TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning
AAAI 2024
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation
ACL 2024
Large Language Models Can Learn Temporal Reasoning
ACL 2024
Can LLMs Reason in the Wild with Programs?
EMNLP 2024
Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning
AAAI 2023
LogicDP: Creating Labels for Graph Data via Inductive Logic Programming
ICLR 2023
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning
AISTATS 2023
TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
ICLR 2023
LOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning
AAAI 2022
Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning
AAAI 2020
Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning
AAAI 2020