8 citations · 14 across the 7 of their papers we have counts for
7 papers
How Uncertainty Estimation Scales with Sampling in Reasoning Models
Maksym Del, Markus Kängsepp, Marharyta Domnich +4
Uncertainty estimation is critical for deploying reasoning language models, yet remains poorly understood under extended chain-of-thought reasoning. We study parallel sampling as a…
To Err Is Human, but Llamas Can Learn It Too
Agnes Luhtaru, Taido Purason, Martin Vainikko +2
This study explores enhancing grammatical error correction (GEC) through artificial error generation (AEG) using language models (LMs). Specifically, we fine-tune Llama 2-based LMs…
Cross-lingual Similarity of Multilingual Representations Revisited
Maksym Del, Mark Fishel
Related works used indexes like CKA and variants of CCA to measure the similarity of cross-lingual representations in multilingual language models. In this paper, we argue that ass…
True Detective: A Deep Abductive Reasoning Benchmark Undoable for GPT-3 and Challenging for GPT-4
Maksym Del, Mark Fishel
Large language models (LLMs) have demonstrated solid zero-shot reasoning capabilities, which is reflected in their performance on the current test tasks. This calls for a more chal…
Translation Transformers Rediscover Inherent Data Domains
Maksym Del, Elizaveta Korotkova, Mark Fishel
Many works proposed methods to improve the performance of Neural Machine Translation (NMT) models in a domain/multi-domain adaptation scenario. However, an understanding of how NMT…
Similarity of Sentence Representations in Multilingual LMs: Resolving Conflicting Literature and Case Study of Baltic Languages
Maksym Del, Mark Fishel
Low-resource languages, such as Baltic languages, benefit from Large Multilingual Models (LMs) that possess remarkable cross-lingual transfer performance capabilities. This work is…
Grammatical Error Correction and Style Transfer via Zero-shot Monolingual Translation
Elizaveta Korotkova, Agnes Luhtaru, Maksym Del +3
Both grammatical error correction and text style transfer can be viewed as monolingual sequence-to-sequence transformation tasks, but the scarcity of directly annotated data for ei…