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cs.CL2024
Curriculum Learning for Cross-Lingual Data-to-Text Generation With Noisy Data
Kancharla Aditya Hari, Manish Gupta, Vasudeva Varma
Curriculum learning has been used to improve the quality of text generation systems by ordering the training samples according to a particular schedule in various tasks. In the con…
cs.CL2024
MetaCheckGPT -- A Multi-task Hallucination Detector Using LLM Uncertainty and Meta-models
Rahul Mehta, Andrew Hoblitzell, Jack O'Keefe +2
Hallucinations in large language models (LLMs) have recently become a significant problem. A recent effort in this direction is a shared task at Semeval 2024 Task 6, SHROOM, a Shar…