83 citations · 316 across the 22 of their papers we have counts for
6 papers · 1 filter
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs
Rui Cao, Yuming Jiang, Michael Schlichtkrull +1
Multimodal Large Language Models (MLLMs) can enhance trustworthiness by aligning with human preferences. As human preference labeling is laborious, recent works employ evaluation m…
Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking
Mubashara Akhtar, Michael Schlichtkrull, Andreas Vlachos
Current automated fact-checking (AFC) approaches typically evaluate evidence either implicitly via the predicted verdicts or through exact matches with predefined closed knowledge…
The Automated Verification of Textual Claims (AVeriTeC) Shared Task
Michael Schlichtkrull, Yulong Chen, Chenxi Whitehouse +9
The Automated Verification of Textual Claims (AVeriTeC) shared task asks participants to retrieve evidence and predict veracity for real-world claims checked by fact-checkers. Evid…
Generating Media Background Checks for Automated Source Critical Reasoning
Michael Schlichtkrull
Not everything on the internet is true. This unfortunate fact requires both humans and models to perform complex reasoning about credibility when working with retrieved information…
Document-level Claim Extraction and Decontextualisation for Fact-Checking
Zhenyun Deng, Michael Schlichtkrull, Andreas Vlachos
Selecting which claims to check is a time-consuming task for human fact-checkers, especially from documents consisting of multiple sentences and containing multiple claims. However…
Automated Focused Feedback Generation for Scientific Writing Assistance
Eric Chamoun, Michael Schlichktrull, Andreas Vlachos
Scientific writing is a challenging task, particularly for novice researchers who often rely on feedback from experienced peers. Recent work has primarily focused on improving surf…