activity
20182026
most citedContrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities

10 citations · 46 across the 48 of their papers we have counts for

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28 papers · 1 filter

cs.CL2026

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…

cs.CL2026

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…

cs.CL2026

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…

cs.CL2025

Bridging Language Gaps: Enhancing Few-Shot Language Adaptation

Philipp Borchert, Jochen De Weerdt, Marie-Francine Moens

The disparity in language resources poses a challenge in multilingual NLP, with high-resource languages benefiting from extensive data, while low-resource languages lack sufficient…

cs.CL2025

Mitigating Negative Interference in Multilingual Sequential Knowledge Editing through Null-Space Constraints

Wei Sun, Tingyu Qu, Mingxiao Li +2

Efficiently updating multilingual knowledge in large language models (LLMs), while preserving consistent factual representations across languages, remains a long-standing and unres…

cs.CL2025

Language Fusion for Parameter-Efficient Cross-lingual Transfer

Philipp Borchert, Ivan Vulić, Marie-Francine Moens +1

Limited availability of multilingual text corpora for training language models often leads to poor performance on downstream tasks due to undertrained representation spaces for lan…