6 citations · 23 across the 32 of their papers we have counts for
49 papers
Event Interaction in Low-Rank Bottlenecks for Temporal Relation Extraction
Wei Sun, Tingyu Qu, Jesse Davis +1
Temporal relation extraction determines whether an event occurs before, after, or simultaneously with another event, and therefore relies on accurately modeling how the two events…
Cross-lingual Representation Learning via Centroid Intervention Fusion
Wei Sun, Marie-Francine Moens
Large language models (LLMs) exhibit uneven multilingual performance, especially when dealing with low-resource languages. Inference-time intervention offers a lightweight way to i…
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…
ClimateCause: Complex and Implicit Causal Structures in Climate Reports
Liesbeth Allein, Nataly Pineda-Castañeda, Andrea Rocci +1
Understanding climate change requires reasoning over complex causal networks. Yet, existing causal discovery datasets predominantly capture explicit, direct causal relations. We in…
Assessing LLM Reasoning Through Implicit Causal Chain Discovery in Climate Discourse
Liesbeth Allein, Nataly Pineda-Castañeda, Andrea Rocci +1
How does a cause lead to an effect, and which intermediate causal steps explain their connection? This work scrutinizes the mechanistic causal reasoning capabilities of large langu…
Automated Prompt Generation for Creative and Counterfactual Text-to-image Synthesis
Aleksa Jelaca, Ying Jiao, Chang Tian +1
Text-to-image generation has advanced rapidly with large-scale multimodal training, yet fine-grained controllability remains a critical challenge. Counterfactual controllability, d…