Summary of Hallucination Is Inevitable: An Innate Limitation Of Large Language Models, by Ziwei Xu et al.
Hallucination is Inevitable: An Innate Limitation of Large Language Models
by Ziwei Xu, Sanjay Jain, Mohan Kankanhalli
First submitted to arxiv on: 22 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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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 paper tackles a crucial issue in large language models (LLMs), namely hallucination. Despite various empirical efforts to reduce this phenomenon, the fundamental question remains: can hallucination be completely eliminated? The authors formalize the problem and surprisingly show that it’s impossible to eliminate hallucination in LLMs. By leveraging learning theory results, they demonstrate that LLMs cannot learn all computable functions and will inevitably hallucinate when used as general problem solvers. Building on this formal world framework, the paper also discusses the implications for real-world LLMs, identifying tasks prone to hallucinations and validating their claims empirically. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large language models (LLMs) can sometimes make things up that aren’t true! This is called “hallucination.” People have tried to fix this problem, but they haven’t really answered the question of whether it’s possible to completely get rid of hallucination. In this paper, some smart people show that it’s actually impossible for LLMs to stop making up things entirely. They use special math and computer science ideas to prove this point. This means that even if we make LLMs better, they’ll still sometimes invent things that aren’t real. The authors also talk about what kinds of tasks are most likely to cause hallucinations and show that their ideas match what happens in the real world. |
Keywords
* Artificial intelligence * Hallucination
