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Timo Pierre Schrader

2 accepted papers

2026

A Solver-in-the-Loop Framework for Improving LLMs on Answer Set Programming for Logic Puzzle Solving

AAAI 2026technical

The rise of large language models (LLMs) has sparked interest in coding assistants. While general-purpose programming languages are well supported, generating code for domain-specific languages remains a challenging problem for LLMs. In this paper, we focus on the LLM-based generation of code for An

Cited by 0SourcePDFScholar
2024

QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios

EMNLP 2024main

Reasoning is key to many decision making processes. It requires consolidating a set of rule-like premises that are often associated with degrees of uncertainty and observations to draw conclusions. In this work, we address both the case where premises are specified as numeric probabilistic rules and…

Cited by 0SourcePDFScholar