output
20112025
most citedEvaluating Generative Ad Hoc Information Retrieval

44 citations

14 papers

cs.CL2025

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling

Hovhannes Tamoyan, Subhabrata Dutta, Iryna Gurevych

Factual incorrectness in generated content is one of the primary concerns in ubiquitous deployment of large language models (LLMs). Prior findings suggest LLMs can (sometimes) dete…

astro-ph.IM2025★ 1 cited

The New Science of Unidentified Aerospace-Undersea Phenomena (UAP)

Kevin H. Knuth, Philippe Ailleris, Hussein Ali Agrama +36

After decades of dismissal and secrecy, it has become clear that a significant number of the world's governments take Unidentified Aerospace-Undersea Phenomena (UAP), formerly know…

cs.CL2024★ 3 cited

Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions

Qian Ruan, Ilia Kuznetsov, Iryna Gurevych

Classification is a core NLP task architecture with many potential applications. While large language models (LLMs) have brought substantial advancements in text generation, their…

cs.RO2024★ 2 cited

Towards Probabilistic Clearance, Explanation and Optimization

Simon Kohaut, Benedict Flade, Devendra Singh Dhami +2

Employing Unmanned Aircraft Systems (UAS) beyond visual line of sight (BVLOS) is an endearing and challenging task. While UAS have the potential to significantly enhance today's lo…

cs.RO2024★ 3 cited

Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs

Simon Kohaut, Benedict Flade, Devendra Singh Dhami +2

Advanced Air Mobility (AAM) is a growing field that demands a deep understanding of legal, spatial and temporal concepts in navigation. Hence, any implementation of AAM is forced t…

cs.CL2024★ 2 cited

Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision

Qian Ruan, Ilia Kuznetsov, Iryna Gurevych

Collaborative review and revision of textual documents is the core of knowledge work and a promising target for empirical analysis and NLP assistance. Yet, a holistic framework tha…