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Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs
Xintong Tang, Meiru Zhang, Shang Xiao +5
Large language models (LLMs) are often constrained by rigid reasoning processes, limiting their ability to generate creative and diverse responses. To address this, a novel framewo…
Auto-MLM: Improved Contrastive Learning for Self-supervised Multi-lingual Knowledge Retrieval
Wenshen Xu, Mieradilijiang Maimaiti, Yuanhang Zheng +2
Contrastive learning (CL) has become a ubiquitous approach for several natural language processing (NLP) downstream tasks, especially for question answering (QA). However, the majo…
Improving Multilingual Semantic Textual Similarity with Shared Sentence Encoder for Low-resource Languages
Xin Tang, Shanbo Cheng, Loc Do +5
Measuring the semantic similarity between two sentences (or Semantic Textual Similarity - STS) is fundamental in many NLP applications. Despite the remarkable results in supervised…