1 citations · 1 across the 6 of their papers we have counts for
6 papers
End-to-end Planner Training for Language Modeling
Nathan Cornille, Florian Mai, Jingyuan Sun +1
Through end-to-end training to predict the next token, LLMs have become valuable tools for various tasks. Enhancing their core training in language modeling can improve numerous do…
DMON: A Simple yet Effective Approach for Argument Structure Learning
Wei Sun, Mingxiao Li, Jingyuan Sun +2
Argument structure learning~(ASL) entails predicting relations between arguments. Because it can structure a document to facilitate its understanding, it has been widely applied in…
Computational Models to Study Language Processing in the Human Brain: A Survey
Shaonan Wang, Jingyuan Sun, Yunhao Zhang +3
Despite differing from the human language processing mechanism in implementation and algorithms, current language models demonstrate remarkable human-like or surpassing language ca…
NeuroCine: Decoding Vivid Video Sequences from Human Brain Activties
Jingyuan Sun, Mingxiao Li, Zijiao Chen +1
In the pursuit to understand the intricacies of human brain's visual processing, reconstructing dynamic visual experiences from brain activities emerges as a challenging yet fascin…
Tuning In to Neural Encoding: Linking Human Brain and Artificial Supervised Representations of Language
Jingyuan Sun, Xiaohan Zhang, Marie-Francine Moens
To understand the algorithm that supports the human brain's language representation, previous research has attempted to predict neural responses to linguistic stimuli using embeddi…
Decoding Realistic Images from Brain Activity with Contrastive Self-supervision and Latent Diffusion
Jingyuan Sun, Mingxiao Li, Marie-Francine Moens
Reconstructing visual stimuli from human brain activities provides a promising opportunity to advance our understanding of the brain's visual system and its connection with compute…