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Found 5 papers, 2 papers with code
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Reasoners
Chain of Thought prompting strategy has enhanced the performance of Large Language Models (LLMs) across various NLP tasks.
Ranked #1 on
Math Word Problem Solving
on SVAMP
(Accuracy metric)
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction
Experiments across various prompts, PLMs, and benchmarks show that our approach can not only correct the overfitted performance caused by prompt bias, but also significantly improve the prompt retrieval capability (up to 10% absolute performance gain).
Hidden Flaws Behind Expert-Level Accuracy of GPT-4 Vision in Medicine
GPT-4V also performs well in cases where physicians incorrectly answer, with over 78% accuracy.
A Comprehensive Review of Community Detection in Graphs
This review article delves into the topic of community detection in graphs, which serves as a thorough exposition of various community detection methods from perspectives of modularity-based method, spectral clustering, probabilistic modelling, and deep learning.
PTransIPs: Identification of phosphorylation sites enhanced by protein PLM embeddings
Phosphorylation is pivotal in numerous fundamental cellular processes and plays a significant role in the onset and progression of various diseases.
