4 papers
Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches
Teddy Ferdinan, BartÅomiej Koptyra, MikoÅaj Langner +42
While Reasoning Language Models (RLMs) are rapidly emerging as powerful tools for scientific research, their impact is primarily concentrated in "hard science" fields. The slow --…
What properties of reasoning supervision are associated with improved downstream model quality?
MikoÅaj Langner, Dzmitry Pihulski, Jan Eliasz +5
Validating training data for reasoning models typically requires expensive trial-and-error fine-tuning cycles. In this work, we investigate whether the utility of a reasoning datas…
LLMSQL: Upgrading WikiSQL for the LLM Era of Text-to-SQL
Dzmitry Pihulski, Karol Charchut, Viktoria Novogrodskaia +1
Converting natural language questions into SQL queries enables non-expert users to interact with relational databases and has long been a central task for natural language interfac…
Language, Culture, and Ideology: Personalizing Offensiveness Detection in Political Tweets with Reasoning LLMs
Dzmitry Pihulski, Jan KocoÅ
We explore how large language models (LLMs) assess offensiveness in political discourse when prompted to adopt specific political and cultural perspectives. Using a multilingual su…