A collection of models and dataset from the paper "The Hallucination Tax of Reinforcement Finetuning".
AI & ML interests
Natural Language Processing
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LIME NLP is part of the USC NLP Group. Our team's primary focus is on creating trustworthy NLP models. We meticulously investigate the ethical consequences and broader societal effects of NLP models, striving to ensure that language technologies are constructed and employed in ways that align with ethical guidelines and uphold human values.
models
20
lime-nlp/Llama-3.1-8B-Instruct-SUM50
8B
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Updated
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57
lime-nlp/Llama-3.1-8B-Instruct-SUM30
8B
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Updated
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37
lime-nlp/Llama-3.1-8B-Instruct-SUM10
8B
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Updated
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10
lime-nlp/Llama-3.1-8B-Instruct-SUM01
8B
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Updated
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8
lime-nlp/Llama-3.1-8B-Instruct-SUM00
8B
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Updated
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45
lime-nlp/Qwen2.5-7B-SUM00
8B
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Updated
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8
lime-nlp/Qwen2.5-7B-SUM01
8B
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Updated
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7
lime-nlp/Qwen2.5-7B-SUM10
8B
•
Updated
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27
lime-nlp/Qwen2.5-7B-SUM30
8B
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Updated
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6
lime-nlp/Qwen2.5-7B-SUM50
8B
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Updated
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27
datasets
6
lime-nlp/Synthetic_Unanswerable_Math
Viewer
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Updated
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36.8k
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524
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12
lime-nlp/DeepScaleR_Difficulty
Viewer
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Updated
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5.06M
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222
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6
lime-nlp/orz_math_difficulty
Viewer
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Updated
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6.18M
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133
lime-nlp/MATH_Difficulty
Viewer
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Updated
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1.61M
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118
lime-nlp/GSM8K_Difficulty
Viewer
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Updated
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1.13M
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122
lime-nlp/safer-instruct
Viewer
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Updated
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11.2k
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83
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1