安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
|
- [2310. 07289] Beyond Factuality: A Comprehensive Evaluation of Large . . .
Large language models (LLMs) outperform information retrieval techniques for downstream knowledge-intensive tasks when being prompted to generate world knowledge However, community concerns abound regarding the factuality and potential implications of using this uncensored knowledge
- [2310. 07289] Beyond Factuality: A Comprehensive Evaluation of . . . - ar5iv
Large language models (LLMs) outperform information retrieval techniques for downstream knowledge-intensive tasks when being prompted to generate world knowledge Yet, community concerns abound regarding the factuality and potential implications of using this uncensored knowledge
- Beyond Factuality: A Comprehensive Evaluation of Large . . . - ACL Anthology
We conduct an extensive empirical analysis of the generated knowledge from three different types of LLMs on two widely studied knowledge-intensive tasks, i e , open-domain question answering and knowledge-grounded dialogue
- GitHub - ChanLiang CONNER: [EMNLP 2023] Beyond Factuality: A . . .
In this work, we introduce CONNER (COmpreheNsive kNowledge Evaluation fRamework), a systematic approach designed to evaluate the output of Large Language Models (LLMs) across key dimensions such as Factuality, Relevance, Coherence, Informativeness, Helpfulness, and Validity
- Papers with Code - Beyond Factuality: A Comprehensive Evaluation of . . .
We conduct an extensive empirical analysis of the generated knowledge from three different types of LLMs on two widely studied knowledge-intensive tasks, i e , open-domain question answering and knowledge-grounded dialogue
- Beyond Factuality: A Comprehensive Evaluation of Large Language . . . - dblp
DOI: 10 48550 ARXIV 2310 07289 access: open type: Informal or Other Publication metadata version: 2024-10-06
- arXiv:2310. 07289v1 [cs. CL] 11 Oct 2023
ns of using this uncensored knowledge In light of this, we in-troduce CONNER, a COmpreheNsive kNowledge Evaluation fRamework, designed to system-atically and automatically evaluate generated knowle
- Beyond Factuality: A Comprehensive Evaluation of Large Language Models . . .
We conduct an extensive empirical analysis of the generated knowledge from three different types of LLMs on two widely-studied knowledge-intensive tasks, i e , open-domain question answering and knowledge-grounded dialogue
|
|
|