Erik Arakelyan

19 papers A* 4B 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
FLARE: Faithful Logic-Aided Reasoning and Exploration.
EMNLP
Erik Arakelyan, Pasquale Minervini, Patrick S. H. Lewis, Pat Verga, Isabelle Augenstein
2025 J jnl
L0-Reasoning Bench: Evaluating Procedural Correctness in Language Models via Simple Program Execution.
CoRR
Simeng Sun, Cheng-Ping Hsieh, Faisal Ladhak, Erik Arakelyan, Santiago Akle Serano, Boris Ginsburg
2025 J jnl
Reasoning Inconsistencies and How to Mitigate Them in Deep Learning.
CoRR
Erik Arakelyan
2025 B conf
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages.
COLING
Gayane Ghazaryan, Erik Arakelyan, Isabelle Augenstein, Pasquale Minervini
2025 J jnl
With Great Backbones Comes Great Adversarial Transferability.
CoRR
Erik Arakelyan, Karen Hambardzumyan, Davit Papikyan, Pasquale Minervini, Albert Gordo, Isabelle Augenstein, Aram H. Markosyan
2024 J jnl
FLARE: Faithful Logic-Aided Reasoning and Exploration.
CoRR
Erik Arakelyan, Pasquale Minervini, Pat Verga, Patrick S. H. Lewis, Isabelle Augenstein
2024 — conf
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models.
EACL (1)
Erik Arakelyan, Zhaoqi Liu, Isabelle Augenstein
2024 J jnl
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models.
CoRR
Erik Arakelyan, Zhaoqi Liu, Isabelle Augenstein
2024 J jnl
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages.
CoRR
Gayane Ghazaryan, Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein
2023 J jnl
Adapting Neural Link Predictors for Complex Query Answering.
CoRR
Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein
2023 A* conf
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering.
NeurIPS
Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein
2023 J jnl
Approximate Answering of Graph Queries.
CoRR
Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren
2023 — ch.
Approximate Answering of Graph Queries.
Compendium of Neurosymbolic Artificial Intelligence
Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren
2023 — conf
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection.
ACL (1)
Erik Arakelyan, Arnav Arora, Isabelle Augenstein
2023 J jnl
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection.
CoRR
Erik Arakelyan, Arnav Arora, Isabelle Augenstein
2022 A* conf
Complex Query Answering with Neural Link Predictors (Extended Abstract).
IJCAI
Pasquale Minervini, Erik Arakelyan, Daniel Daza, Michael Cochez
2021 A* conf
Complex Query Answering with Neural Link Predictors.
ICLR
Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez
2020 J jnl
Complex Query Answering with Neural Link Predictors.
CoRR
Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez
2016 J jnl
Fluid Dynamics Modeling : The Numerical Solution Of 2D Navier Hyperbolic Equations.
CoRR
Erik Arakelyan, Aram Serobyan, Narek Jilavyan