126 citations · 161 across the 36 of their papers we have counts for
5 papers · 1 filter
What Makes Linguistic Representations Good Models of High-Level Visual Perception in the Human Brain?
Anna Bavaresco, Ina Klarić, Raquel Fernández +1
Image descriptions represented with language models (LMs) predict human brain responses to naturalistic images in high-level visual regions, but the factors driving this predictivi…
Topics as Proxies for Sociodemographics: How Conversational Context Affects LLM Answers
Vera Neplenbroek, Gabriele Sarti, Arianna Bisazza +1
When large language models (LLMs) are used in high-stakes scenarios, such as legal, medical and financial advice, even a single conversation history is enough to drive differences…
Clarify, Abstain or Answer? Strategising in Conversation with Belief-Augmented Generation
Joris Baan, Wilker Aziz, Barbara Plank +1
Large language models (LLMs) define a distribution over text, which can be viewed as a probabilistic representation of uncertainty: sampling K responses yields a belief state - res…
Post-Training Language Models for Crosslingual Consistency
Tianyu Liu, Jirui Qi, Mrinmaya Sachan +3
Language models often respond inconsistently to translation-equivalent prompts across languages, undermining the reliability of multilingual systems. To quantify this, we give an i…
Where is the multimodal goal post? On the Ability of Foundation Models to Recognize Highlights in Videos
Aditya K Surikuchi, Raquel Fernández, Sandro Pezzelle
Foundation models are used for many real-world applications involving language understanding and generation from temporally-ordered multimodal events. In this work, we study the ab…