5 papers · 1 filter
Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering
Jiajun Zhu, Ye Liu, Meikai Bao +3
Recently, large language models (LLMs) have demonstrated remarkable capabilities in natural language processing tasks, yet they remain prone to hallucinations when reasoning with i…
MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality
Shuaike Li, Kai Zhang, Qi Liu +1
Knowledge editing is a technique for efficiently and accurately updating the knowledge of large language models (LLMs) to alleviate obsolescence and correct errors. However, most e…
Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment
Yuze Zhao, Tianyun Ji, Wenjun Feng +6
The reasoning abilities are one of the most enigmatic and captivating aspects of large language models (LLMs). Numerous studies are dedicated to exploring and expanding the boundar…
SentiFormer: Metadata Enhanced Transformer for Image Sentiment Analysis
Bin Feng, Shulan Ruan, Mingzheng Yang +4
As more and more internet users post images online to express their daily emotions, image sentiment analysis has attracted increasing attention. Recently, researchers generally ten…
Chinese Spelling Correction: A Comprehensive Survey of Progress, Challenges, and Opportunities
Changchun Liu, Kai Zhang, Junzhe Jiang +3
Chinese Spelling Correction (CSC) is a critical task in natural language processing, aimed at detecting and correcting spelling errors in Chinese text. This survey provides a compr…