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叶宏彬 committed Oct 21, 2023
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Expand Up @@ -193,6 +193,11 @@ detection and improvement methods; (3) We propose several research directions th
- Wenhao Yu, Zhihan Zhang, Zhenwen Liang
- [[Paper]](https://doi.org/10.48550/arXiv.2305.14002)

- **"Teaching Language Models to Hallucinate Less with Synthetic Tasks."**, 2023.10
- Erik Jones, Hamid Palangi, Clarisse Simões
- [[Paper]](https://arxiv.org/abs/2310.06827)


## 🪁Taxonomy of LLMs Hallucination in NLP tasks

### ✨Machine Translation
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- Razi Mahmood, Ge Wang, Mannudeep K. Kalra
- [[Paper]](https://doi.org/10.48550/arXiv.2307.14634)

- **"Chain of Natural Language Inference for Reducing Large Language Model Ungrounded Hallucinations."**, 2023.10
- Deren Lei, Yaxi Li, Mengya Hu
- [[Paper]](https://arxiv.org/abs/2310.03951)



### ✨Uncertainty Measure
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- Niels Mündler, Jingxuan He, Slobodan Jenko
- [[Paper]](https://arxiv.org/abs/2305.15852)

- **"A New Benchmark and Reverse Validation Method for Passage-level Hallucination Detection."**, 2023.10
- Shiping Yang, Renliang Sun, Xiaojun Wan
- [[Paper]](https://arxiv.org/abs/2310.06498)

### ✨Evidence Retrieval

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- Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu
- [[Paper]](https://arxiv.org/abs/2309.11495)

- **"Chain of Natural Language Inference for Reducing Large Language Model Ungrounded Hallucinations."**, 2023.10
- Deren Lei, Yaxi Li, Mengya Hu
- [[Paper]](https://arxiv.org/abs/2310.03951)


### ✨Utilizing Programming Languages

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- I-Chun Chern, Zhiruo Wang, Sanjan Das
- [[Paper]](https://doi.org/10.48550/arXiv.2307.04507)

- **"Towards Mitigating Hallucination in Large Language Models via Self-Reflection."**, 2023.10
- Ziwei Ji, Tiezheng Yu, Yan Xu
- [[Paper]](https://arxiv.org/abs/2310.06271)


### ✨Mindset Society

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