2 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
GAW-PO: Preference Optimization with Gradient-Aligned Token Weights
Andreea Dutulescu, Stefan Ruseti, Mihai Masala +2
Most preference optimization methods, such as Direct Preference Optimization (DPO), apply preference supervision at the response level, although autoregressive language models are…
Neural Grammatical Error Correction for Romanian
Teodor-Mihai Cotet, Stefan Ruseti, Mihai Dascalu
Resources for Grammatical Error Correction (GEC) in non-English languages are scarce, while available spellcheckers in these languages are mostly limited to simple corrections and…
Value-Aware Numerical Representations for Transformer Language Models
Andreea Dutulescu, Stefan Ruseti, Mihai Dascalu
Transformer-based language models often achieve strong results on mathematical reasoning benchmarks while remaining fragile on basic numerical understanding and arithmetic operatio…
Training Language Models with homotokens Leads to Delayed Overfitting
Adrian Cosma, Stefan Ruseti, Emilian Radoi +1
Subword tokenization introduces a computational layer in language models where many distinct token sequences decode to the same surface form and preserve meaning, yet induce differ…