19 citations · 31 across the 4 of their papers we have counts for
4 papers · 1 filter
Self-Evaluation of Large Language Model based on Glass-box Features
Hui Huang, Yingqi Qu, Jing Liu +4
The proliferation of open-source Large Language Models (LLMs) underscores the pressing need for evaluation methods. Existing works primarily rely on external evaluators, focusing o…
An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4
Hui Huang, Xingyuan Bu, Hongli Zhou +5
Recently, there has been a growing trend of utilizing Large Language Model (LLM) to evaluate the quality of other LLMs. Many studies have fine-tuned judge models based on open-sour…
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation
Ruiyang Ren, Yuhao Wang, Yingqi Qu +6
Large language models (LLMs) have shown impressive prowess in solving a wide range of tasks with world knowledge. However, it remains unclear how well LLMs are able to perceive the…
Question Answering over Freebase via Attentive RNN with Similarity Matrix based CNN
Yingqi Qu, Jie Liu, Liangyi Kang +2
With the rapid growth of knowledge bases (KBs), question answering over knowledge base, a.k.a. KBQA has drawn huge attention in recent years. Most of the existing KBQA methods foll…