44 citations · 63 across the 11 of their papers we have counts for
12 papers
On Synthesizing Data for Context Attribution in Question Answering
Gorjan Radevski, Kiril Gashteovski, Shahbaz Syed +11
Question Answering (QA) accounts for a significant portion of LLM usage "in the wild". However, LLMs sometimes produce false or misleading responses, also known as "hallucinations"…
TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization
Shahbaz Syed, Khalid Al-Khatib, Martin Potthast
This paper presents TL;DR Progress, a new tool for exploring the literature on neural text summarization. It organizes 514~papers based on a comprehensive annotation scheme for tex…
Citance-Contextualized Summarization of Scientific Papers
Shahbaz Syed, Ahmad Dawar Hakimi, Khalid Al-Khatib +1
Current approaches to automatic summarization of scientific papers generate informative summaries in the form of abstracts. However, abstracts are not intended to show the relation…
Indicative Summarization of Long Discussions
Shahbaz Syed, Dominik Schwabe, Khalid Al-Khatib +1
Online forums encourage the exchange and discussion of different stances on many topics. Not only do they provide an opportunity to present one's own arguments, but may also gather…
Evaluating Generative Ad Hoc Information Retrieval
Lukas Gienapp, Harrisen Scells, Niklas Deckers +9
Recent advances in large language models have enabled the development of viable generative retrieval systems. Instead of a traditional document ranking, generative retrieval system…
Modeling Appropriate Language in Argumentation
Timon Ziegenbein, Shahbaz Syed, Felix Lange +2
Online discussion moderators must make ad-hoc decisions about whether the contributions of discussion participants are appropriate or should be removed to maintain civility. Existi…
Summary Workbench: Unifying Application and Evaluation of Text Summarization Models
Shahbaz Syed, Dominik Schwabe, Martin Potthast
This paper presents Summary Workbench, a new tool for developing and evaluating text summarization models. New models and evaluation measures can be easily integrated as Docker-bas…
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
Milad Alshomary, Timon Gurcke, Shahbaz Syed +5
Key point analysis is the task of extracting a set of concise and high-level statements from a given collection of arguments, representing the gist of these arguments. This paper p…
Summary Explorer: Visualizing the State of the Art in Text Summarization
Shahbaz Syed, Tariq Yousef, Khalid Al-Khatib +2
This paper introduces Summary Explorer, a new tool to support the manual inspection of text summarization systems by compiling the outputs of 55~state-of-the-art single document su…
Generating Informative Conclusions for Argumentative Texts
Shahbaz Syed, Khalid Al-Khatib, Milad Alshomary +2
The purpose of an argumentative text is to support a certain conclusion. Yet, they are often omitted, expecting readers to infer them rather. While appropriate when reading an indi…
Argument Undermining: Counter-Argument Generation by Attacking Weak Premises
Milad Alshomary, Shahbaz Syed, Arkajit Dhar +2
Text generation has received a lot of attention in computational argumentation research as of recent. A particularly challenging task is the generation of counter-arguments. So far…
Abstractive Snippet Generation
Wei-Fan Chen, Shahbaz Syed, Benno Stein +2
An abstractive snippet is an originally created piece of text to summarize a web page on a search engine results page. Compared to the conventional extractive snippets, which are g…