Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.02527 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866914177391525888 |
|---|---|
| author | Pulkundwar, Parth Dhanawade, Vivek Yadav, Rohit Sonkar, Minal Asurlekar, Medha Rathod, Sarita |
| author_facet | Pulkundwar, Parth Dhanawade, Vivek Yadav, Rohit Sonkar, Minal Asurlekar, Medha Rathod, Sarita |
| contents | Traditional language models face a challenge from hallucinations. Their very presence casts a large, dangerous shadow over the promising realm of natural language processing. It becomes crucial to understand the various kinds of hallucinations that occur nowadays, their origins, and ways of reducing them. This document provides a concise and straightforward summary of that. It serves as a one-stop resource for a general understanding of hallucinations and how to mitigate them. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_02527 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Concise Review of Hallucinations in LLMs and their Mitigation Pulkundwar, Parth Dhanawade, Vivek Yadav, Rohit Sonkar, Minal Asurlekar, Medha Rathod, Sarita Computation and Language Machine Learning Traditional language models face a challenge from hallucinations. Their very presence casts a large, dangerous shadow over the promising realm of natural language processing. It becomes crucial to understand the various kinds of hallucinations that occur nowadays, their origins, and ways of reducing them. This document provides a concise and straightforward summary of that. It serves as a one-stop resource for a general understanding of hallucinations and how to mitigate them. |
| title | A Concise Review of Hallucinations in LLMs and their Mitigation |
| topic | Computation and Language Machine Learning |
| url | https://arxiv.org/abs/2512.02527 |