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2020 – today
- 2024
[c12]Anej Svete, Robin Chan, Ryan Cotterell:
On Efficiently Representing Regular Languages as RNNs. ACL (Findings) 2024: 4118-4135- [c11]Franz Nowak, Anej Svete, Alexandra Butoi, Ryan Cotterell:
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning. ACL (1) 2024: 12510-12548 - [c10]Nadav Borenstein, Anej Svete, Robin Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell:
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. ACL (1) 2024: 15115-15134 - [c9]Clemente Pasti, Talu Karagöz, Franz Nowak, Anej Svete, Reda Boumasmoud, Ryan Cotterell:
An L* Algorithm for Deterministic Weighted Regular Languages. EMNLP 2024: 8197-8210 - [c8]Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell:
Can Transformers Learn n-gram Language Models? EMNLP 2024: 9851-9867 - [c7]Naaman Tan, Josef Valvoda, Tianyu Liu, Anej Svete, Yanxia Qin, Min-Yen Kan, Ryan Cotterell:
A Probability-Quality Trade-off in Aligned Language Models and its Relation to Sampling Adaptors. EMNLP 2024: 14805-14829 - [c6]Anej Svete, Franz Nowak, Anisha Mohamed Sahabdeen, Ryan Cotterell:
Lower Bounds on the Expressivity of Recurrent Neural Language Models. NAACL-HLT 2024: 6820-6844 - [c5]Anej Svete, Ryan Cotterell:
Transformers Can Represent n-gram Language Models. NAACL-HLT 2024: 6845-6881 - [c4]Luca Malagutti, Andrius Buinovskij, Anej Svete, Clara Meister, Afra Amini, Ryan Cotterell:
The Role of n-gram Smoothing in the Age of Neural Networks. NAACL-HLT 2024: 6882-6899 - [i15]Anej Svete, Robin Shing Moon Chan, Ryan Cotterell:
A Theoretical Result on the Inductive Bias of RNN Language Models. CoRR abs/2402.15814 (2024) - [i14]Luca Malagutti, Andrius Buinovskij, Anej Svete, Clara Meister, Afra Amini, Ryan Cotterell:
The Role of n-gram Smoothing in the Age of Neural Networks. CoRR abs/2403.17240 (2024) - [i13]Anej Svete, Ryan Cotterell:
Transformers Can Represent n-gram Language Models. CoRR abs/2404.14994 (2024) - [i12]Anej Svete, Franz Nowak
, Anisha Mohamed Sahabdeen, Ryan Cotterell:
Lower Bounds on the Expressivity of Recurrent Neural Language Models. CoRR abs/2405.19222 (2024) - [i11]Robin Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell:
On Affine Homotopy between Language Encoders. CoRR abs/2406.02329 (2024) - [i10]Nadav Borenstein, Anej Svete, Robin Shing Moon Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell:
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. CoRR abs/2406.04289 (2024) - [i9]Naaman Tan, Josef Valvoda, Anej Svete, Tianyu Liu, Yanxia Qin, Min-Yen Kan, Ryan Cotterell:
A Fundamental Trade-off in Aligned Language Models and its Relation to Sampling Adaptors. CoRR abs/2406.10203 (2024) - [i8]Franz Nowak, Anej Svete, Alexandra Butoi, Ryan Cotterell:
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning. CoRR abs/2406.14197 (2024) - [i7]Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell:
Can Transformers Learn n-gram Language Models? CoRR abs/2410.03001 (2024) - 2023
- [c3]Franz Nowak, Anej Svete, Li Du, Ryan Cotterell:
On the Representational Capacity of Recurrent Neural Language Models. EMNLP 2023: 7011-7034 - [c2]Anej Svete, Ryan Cotterell:
Recurrent Neural Language Models as Probabilistic Finite-state Automata. EMNLP 2023: 8069-8086 - [i6]Anej Svete, Benjamin Dayan, Tim Vieira, Ryan Cotterell, Jason Eisner:
Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs. CoRR abs/2301.06862 (2023) - [i5]Clément Guerner, Anej Svete, Tianyu Liu, Alexander Warstadt, Ryan Cotterell:
A Geometric Notion of Causal Probing. CoRR abs/2307.15054 (2023) - [i4]Anej Svete, Ryan Cotterell:
Recurrent Neural Language Models as Probabilistic Finite-state Automata. CoRR abs/2310.05161 (2023) - [i3]Franz Nowak, Anej Svete, Li Du, Ryan Cotterell:
On the Representational Capacity of Recurrent Neural Language Models. CoRR abs/2310.12942 (2023) - [i2]Ryan Cotterell, Anej Svete, Clara Meister, Tianyu Liu, Li Du:
Formal Aspects of Language Modeling. CoRR abs/2311.04329 (2023) - 2022
- [c1]Anej Svete, Benjamin Dayan, Ryan Cotterell, Tim Vieira, Jason Eisner:
Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs. EMNLP 2022: 8289-8305 - 2020
- [i1]Anej Svete, Jakob Hostnik:
It is not just about the Melody: How Europe Votes for its Favorite Songs. CoRR abs/2002.06609 (2020)
Coauthor Index
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