7 citations · 11 across the 4 of their papers we have counts for
4 papers
Do Large Language Models Mirror Cognitive Language Processing?
Yuqi Ren, Renren Jin, Tongxuan Zhang +1
Large Language Models (LLMs) have demonstrated remarkable abilities in text comprehension and logical reasoning, indicating that the text representations learned by LLMs can facili…
M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models
Chuang Liu, Renren Jin, Yuqi Ren +10
Large language models have recently made tremendous progress in a variety of aspects, e.g., cross-task generalization, instruction following. Comprehensively evaluating the capabil…
Bridging between Cognitive Processing Signals and Linguistic Features via a Unified Attentional Network
Yuqi Ren, Deyi Xiong
Cognitive processing signals can be used to improve natural language processing (NLP) tasks. However, it is not clear how these signals correlate with linguistic information. Bridg…
CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals
Yuqi Ren, Deyi Xiong
Most previous studies integrate cognitive language processing signals (e.g., eye-tracking or EEG data) into neural models of natural language processing (NLP) just by directly conc…