Learning to combine Grammatical Error Corrections. - Yoav Kantor; Yoav Katz; Leshem Choshen; Edo Cohen-Karlik; Naftali Liberman; Assaf Toledo; Amir Menczel; Noam Slonim (BEA@ACL, 2019)

Automatic Argument Quality Assessment - New Datasets and Methods. - Assaf Toledo; Shai Gretz; Edo Cohen-Karlik; Roni Friedman; Elad Venezian; Dan Lahav; Michal Jacovi; Ranit Aharonov; Noam Slonim (EMNLP/IJCNLP (1), 2019)

A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis. - Shai Gretz; Roni Friedman; Edo Cohen-Karlik; Assaf Toledo; Dan Lahav; Ranit Aharonov; Noam Slonim (AAAI, 2020)

The workweek is the best time to start a family - A Study of GPT-2 Based Claim Generation. - Shai Gretz; Yonatan Bilu; Edo Cohen-Karlik; Noam Slonim (EMNLP (Findings), 2020)

Regularizing Towards Permutation Invariance In Recurrent Models. - Edo Cohen-Karlik; Avichai Ben David; Amir Globerson (NeurIPS, 2020)

An autonomous debating system. - Noam Slonim; Yonatan Bilu; Carlos Alzate; Roy Bar-Haim; Ben Bogin; Francesca Bonin; Leshem Choshen; Edo Cohen-Karlik; Lena Dankin; Lilach Edelstein; Liat Ein-Dor; Roni Friedman-Melamed; et al. (Nat., 2021)

On the Implicit Bias of Gradient Descent for Temporal Extrapolation. - Edo Cohen-Karlik; Avichai Ben David; Nadav Cohen 001; Amir Globerson (AISTATS, 2022)

Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network. - Edo Cohen-Karlik; Itamar Menuhin-Gruman; Nadav Cohen 001; Raja Giryes; Amir Globerson (CoRR, 2022)

Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets. - Edo Cohen-Karlik; Itamar Menuhin-Gruman; Raja Giryes; Nadav Cohen 001; Amir Globerson (ICLR, 2023)

Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States. - Noam Razin; Yotam Alexander; Edo Cohen-Karlik; Raja Giryes; Amir Globerson; Nadav Cohen 001 (ICML, 2024)

Provable Benefits of Complex Parameterizations for Structured State Space Models. - Yuval Ran-Milo; Eden Lumbroso; Edo Cohen-Karlik; Raja Giryes; Amir Globerson; Nadav Cohen 001 (NeurIPS, 2024)

Overcoming Order in Autoregressive Graph Generation. - Edo Cohen-Karlik; Eyal Rozenberg; Daniel Freedman (CoRR, 2024)

Overcoming Order in Autoregressive Graph Generation for Molecule Generation. - Edo Cohen-Karlik; Eyal Rozenberg; Daniel Freedman (Trans. Mach. Learn. Res., 2024)

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach. - Edo Cohen-Karlik; Itamar Zimerman; Liane Galanti; Ido Atad; Amir Globerson; Lior Wolf (CoRR, 2025)