output
19952025
most citedUnsupervised Word and Dependency Path Embeddings for Aspect Term Extraction

62 citations

Showing 2025 · cs.CLShow all

5 papers · 2 filters

cs.CL2025★ 1 cited

Dialogue Is Not Enough to Make a Communicative BabyLM (But Neither Is Developmentally Inspired Reinforcement Learning)

Francesca Padovani, Bastian Bunzeck, Manar Ali +4

We investigate whether pre-training exclusively on dialogue data results in formally and functionally apt small language models. Based on this pre-trained llamalogue model, we empl…

cs.CL2025

TurBLiMP: A Turkish Benchmark of Linguistic Minimal Pairs

Ezgi Başar, Francesca Padovani, Jaap Jumelet +1

We introduce TurBLiMP, the first Turkish benchmark of linguistic minimal pairs, designed to evaluate the linguistic abilities of monolingual and multilingual language models (LMs).…

cs.CL2025

Child-Directed Language Does Not Consistently Boost Syntax Learning in Language Models

Francesca Padovani, Jaap Jumelet, Yevgen Matusevych +1

Seminal work by Huebner et al. (2021) showed that language models (LMs) trained on English Child-Directed Language (CDL) can reach similar syntactic abilities as LMs trained on muc…

cs.CL2025★ 4 cited

Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Task

Leonardo Ranaldi, Barry Haddow, Alexandra Birch

Retrieval-augmented generation (RAG) has become a cornerstone of contemporary NLP, enhancing large language models (LLMs) by allowing them to access richer factual contexts through…

cs.CL2025★ 2 cited

On the Consistency of Multilingual Context Utilization in Retrieval-Augmented Generation

Jirui Qi, Raquel Fernández, Arianna Bisazza

Retrieval-augmented generation (RAG) with large language models (LLMs) has demonstrated strong performance in multilingual question-answering (QA) tasks by leveraging relevant pass…