2 papers
cs.CL2025
Natural Language Satisfiability: Exploring the Problem Distribution and Evaluating Transformer-based Language Models
Tharindu Madusanka, Ian Pratt-Hartmann, Riza Batista-Navarro
Efforts to apply transformer-based language models (TLMs) to the problem of reasoning in natural language have enjoyed ever-increasing success in recent years. The most fundamental…
cs.CL2024
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation
Hao Li, Yuping Wu, Viktor Schlegel +8
With the recent advances of large language models (LLMs), it is no longer infeasible to build an automated debate system that helps people to synthesise persuasive arguments. Previ…