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Daniel Dan

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedMining United Nations General Assembly Debates

1 citations · 1 across the 1 of their papers we have counts for

collaborators

4 papers

cs.LG2026

On Effectiveness and Efficiency of Agentic Tool-calling and RL Training

Tong Liu, Cheng Qian, Matej Cief +4

Tool-calling is a central component of modern large language model (LLM) agents, equipping them with skills beyond their parametric knowledge. This paper studies tool-calling along…

cs.CL2025

Evaluating LLM-Generated Q&A Test: a Student-Centered Study

Anna Wróblewska, Bartosz Grabek, Jakub Świstak +1

This research prepares an automatic pipeline for generating reliable question-answer (Q&A) tests using AI chatbots. We automatically generated a GPT-4o-mini-based Q&A test for a Na…

cs.CL2025

Applying Text Mining to Analyze Human Question Asking in Creativity Research

Anna Wróblewska, Marceli Korbin, Yoed N. Kenett +3

Creativity relates to the ability to generate novel and effective ideas in the areas of interest. How are such creative ideas generated? One possible mechanism that supports creati…

cs.CL2024★ 1 cited

Mining United Nations General Assembly Debates

Mateusz Grzyb, Mateusz Krzyziński, Bartłomiej Sobieski +4

This project explores the application of Natural Language Processing (NLP) techniques to analyse United Nations General Assembly (UNGA) speeches. Using NLP allows for the efficient…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.