Summary of Find the Intention Of Instruction: Comprehensive Evaluation Of Instruction Understanding For Large Language Models, by Hyeonseok Moon et al.
Find the Intention of Instruction: Comprehensive Evaluation of Instruction Understanding for Large Language Models
by Hyeonseok Moon, Jaehyung Seo, Seungyoon Lee, Chanjun Park, Heuiseok Lim
First submitted to arxiv on: 27 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research paper explores the capabilities of Large Language Models (LLMs) in following instructions, a crucial aspect for their utilization across various fields. The instruction-following capability is a well-established metric for evaluating LLMs’ performance, with numerous benchmarks developed to assess this ability. However, most existing benchmarks focus on clear and coherent instructions, neglecting the potential distractions that may arise from extraneous instructions. To address this limitation, the authors introduce the Intention of Instruction (IoInst) benchmark, which evaluates LLLMs’ capacity to remain focused and comprehend instructions without being misled by irrelevant information. The primary objective of IoInst is to identify the appropriate instruction that accurately guides the generation of a given context. The study finds that even state-of-the-art models lack instruction understanding capability, highlighting the need for more sophisticated approaches. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how well Large Language Models can follow instructions. These models are really good at talking to humans and doing things we ask them to do. But sometimes they get confused or distracted by extra information that’s not important. To fix this problem, the researchers created a new way to test these models’ ability to focus on what we’re telling them to do. This test is called Intention of Instruction (IoInst). They found out that even the best models aren’t very good at understanding instructions and need more help. |
