Publications (19)
Uncovering Autoregressive LLM Knowledge of Thematic Fit in Event Representation
Safeyah Khaled Alshemali, Daniel Bauer, Yuval Marton
The thematic fit estimation task measures semantic arguments' compatibility with a given semantic role for a given predicate. We investigate if autoregressive LLMs have consistent,…
NLP in Human Rights Research -- Extracting Knowledge Graphs About Police and Army Units and Their Commanders
Daniel Bauer, Tom Longley, Yueen Ma +1
In this working paper we explore the use of an NLP system to assist the work of Security Force Monitor (SFM). SFM creates data about the organizational structure, command personnel…
Integrating Ontologies with Large Language Models for Enhanced Control Systems in Chemical Engineering
Crystal Su, Kuai Yu, Jingrui Zhang +2
This work presents an ontology-integrated large language model (LLM) framework for chemical engineering that unites structured domain knowledge with generative reasoning. The propo…
Episodic Memory Verbalization using Hierarchical Representations of Life-Long Robot Experience
Leonard Bärmann, Chad DeChant, Joana Plewnia +4
Verbalization of robot experience, i.e., summarization of and question answering about a robot's past, is a crucial ability for improving human-robot interaction. Previous works ap…
Learning to Summarize and Answer Questions about a Virtual Robot's Past Actions
Chad DeChant, Iretiayo Akinola, Daniel Bauer
When robots perform long action sequences, users will want to easily and reliably find out what they have done. We therefore demonstrate the task of learning to summarize and answe…
Accelerating Presto with GPUs
Daniel Bauer, Luis Garces-Erice, Deepak Majeti +6
We describe how we extended Presto to be GPU-aware. We focus on two critical challenges: efficiently moving data from storage to GPU operators, and enabling data exchange between o…