Anej Svete
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
4
Active years
2022–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Unique Hard Attention: A Tale of Two Sides. | Selim Jerad, Anej Svete, Jiaoda Li, Ryan Cotterell |
| 2025 | ACL | Information Locality as an Inductive Bias for Neural Language Models. | Taiga Someya, Anej Svete, Brian DuSell, Timothy J. O'Donnell, Mario Giulianelli, Ryan Cotterell |
| 2025 | ICLR | Training Neural Networks as Recognizers of Formal Languages. | Alexandra Butoi, Ghazal Khalighinejad, Anej Svete, Josef Valvoda, Ryan Cotterell, Brian DuSell |
| 2025 | ICLR | Gumbel Counterfactual Generation From Language Models. | Shauli Ravfogel, Anej Svete, Vsteinn Snbjarnarson, Ryan Cotterell |
| 2024 | ACL | What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. | Nadav Borenstein, Anej Svete, Robin Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell |
| 2024 | ACL | Computational Expressivity of Neural Language Models. | Alexandra Butoi, Robin Chan, Ryan Cotterell, William Merrill, Franz Nowak, Clemente Pasti, Lena Strobl, Anej Svete |
| 2024 | ACL | On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning. | Franz Nowak, Anej Svete, Alexandra Butoi, Ryan Cotterell |
| 2024 | ACL | On Efficiently Representing Regular Languages as RNNs. | Anej Svete, Robin Chan, Ryan Cotterell |
| 2024 | EMNLP | An L* Algorithm for Deterministic Weighted Regular Languages. | Clemente Pasti, Talu Karagz, Franz Nowak, Anej Svete, Reda Boumasmoud, Ryan Cotterell |
| 2024 | EMNLP | Can Transformers Learn n-gram Language Models? | Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell |
| 2024 | EMNLP | A Probability-Quality Trade-off in Aligned Language Models and its Relation to Sampling Adaptors. | Naaman Tan, Josef Valvoda, Tianyu Liu, Anej Svete, Yanxia Qin, Min-Yen Kan, Ryan Cotterell |
| 2024 | NAACL | The Role of n-gram Smoothing in the Age of Neural Networks. | Luca Malagutti, Andrius Buinovskij, Anej Svete, Clara Meister, Afra Amini, Ryan Cotterell |
| 2024 | NAACL | Transformers Can Represent n-gram Language Models. | Anej Svete, Ryan Cotterell |
| 2024 | NAACL | Lower Bounds on the Expressivity of Recurrent Neural Language Models. | Anej Svete, Franz Nowak, Anisha Mohamed Sahabdeen, Ryan Cotterell |
| 2023 | EMNLP | On the Representational Capacity of Recurrent Neural Language Models. | Franz Nowak, Anej Svete, Li Du, Ryan Cotterell |
| 2023 | EMNLP | Recurrent Neural Language Models as Probabilistic Finite-state Automata. | Anej Svete, Ryan Cotterell |
| 2022 | EMNLP | Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs. | Anej Svete, Benjamin Dayan, Ryan Cotterell, Tim Vieira, Jason Eisner |