11 citations · 29 across the 8 of their papers we have counts for
8 papers
Boosting Process-Correct CoT Reasoning by Modeling Solvability of Multiple-Choice QA
Raphael Schumann, Stefan Riezler
Reasoning quality in large language models depends not only on producing correct answers but also on generating valid intermediate steps. We study this through multiple-choice ques…
Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap
Michael Staniek, Raphael Schumann, Maike Züfle +1
We present Text-to-OverpassQL, a task designed to facilitate a natural language interface for querying geodata from OpenStreetMap (OSM). The Overpass Query Language (OverpassQL) al…
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View
Raphael Schumann, Wanrong Zhu, Weixi Feng +3
Incremental decision making in real-world environments is one of the most challenging tasks in embodied artificial intelligence. One particularly demanding scenario is Vision and L…
Backward Compatibility During Data Updates by Weight Interpolation
Raphael Schumann, Elman Mansimov, Yi-An Lai +3
Backward compatibility of model predictions is a desired property when updating a machine learning driven application. It allows to seamlessly improve the underlying model without…
Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor Areas
Raphael Schumann, Stefan Riezler
Vision and language navigation (VLN) is a challenging visually-grounded language understanding task. Given a natural language navigation instruction, a visual agent interacts with…
Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem
Raphael Schumann, Stefan Riezler
Car-focused navigation services are based on turns and distances of named streets, whereas navigation instructions naturally used by humans are centered around physical objects cal…