We welcome you to the next Natural Language Processing and Vision (NLPV) 
seminar at the University of Exeter. 
 
Scheduled: Thursday 25 Sep 2025 at 15:00 to 16:00, GMT+1
Location: 
https://Universityofexeter.zoom.us/j/92525879857?pwd=goytDAcZ4zTpM0OIogW9YbIgeDXccT.1
 (Meeting ID: 925 2587 9857 Password: 485835)

Title: From Framing to False Premises: A Two-Axis View of Robust LLM Reasoning

Abstract: Large language models often appear to “reason”, yet their answers can 
be steered by how we ask and by what assumptions slip into the question. This 
talk advances a two-axis view of question robustness grounded in two 
benchmarks. On the surface, logically equivalent phrasings (e.g., more vs less) 
can directionally bias conclusions, a systematic framing effect, captured by 
More or Less Wrong. In the depths, multi-hop questions can embed false 
premises; when such premises are present, models often answer anyway instead of 
detecting and rejecting them, behavior exposed by MultiHoax. Together, these 
benchmarks set non-negotiable standards for robust reasoning: framing 
invariance and premise integrity.

Speaker's bio: Dr Nafise Sadat Moosavi is a Lecturer in Natural Language 
Processing at the University of Sheffield. Her research tackles the nuanced 
challenges of large language models, including reasoning, efficiency, 
robustness and fairness. She earned her PhD in Computational Linguistics from 
the University of Heidelberg. In the research community, she has served as 
Senior Area Chair for ACL, NAACL, EMNLP, and COLING, and co-initiated and 
co-organized the SustaiNLP workshop series. At Sheffield, she is Deputy 
Director of EDI, leading initiatives that foster equity, inclusion and a 
positive research culture.

We will update future talks on the website: 
https://sites.google.com/view/neurocognit-lang-viz-group/seminars 
 
Joining our *Google group* for future seminar and research information: 
https://groups.google.com/g/neurocognition-language-and-vision-processing-group
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