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Found 4 papers, 2 papers with code
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation
We evaluate the ability of Large Language Models (LLMs) to discern and express their internal knowledge state, a key factor in countering factual hallucination and ensuring reliable application of LLMs.
AcademicGPT: Empowering Academic Research
Our training corpus mainly consists of academic papers, thesis, content from some academic domain, high-quality Chinese data and others.
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
We define a maximum traceable distance metric, through which we learn to what extent the text contrastive learning benefits from the historical information of negative samples.
Learning to Remove: Towards Isotropic Pre-trained BERT Embedding
We train the weights on word similarity tasks and show that processed embedding is more isotropic.
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