A collection of models and dataset from the paper "The Hallucination Tax of Reinforcement Finetuning".
Language, Intelligence, and Model Evaluation Lab
non-profit
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
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lime-nlp/Llama-3.1-8B-Instruct-SUM30
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lime-nlp/Llama-3.1-8B-Instruct-SUM10
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2
lime-nlp/Llama-3.1-8B-Instruct-SUM01
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2
lime-nlp/Llama-3.1-8B-Instruct-SUM00
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lime-nlp/Qwen2.5-7B-SUM00
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lime-nlp/Qwen2.5-7B-SUM01
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lime-nlp/Qwen2.5-7B-SUM10
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2
lime-nlp/Qwen2.5-7B-SUM30
Updated
lime-nlp/Qwen2.5-7B-SUM50
Updated
datasets
6
lime-nlp/Synthetic_Unanswerable_Math
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Updated
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36.8k
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226
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7
lime-nlp/DeepScaleR_Difficulty
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Updated
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5.06M
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409
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6
lime-nlp/orz_math_difficulty
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Updated
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6.18M
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249
lime-nlp/MATH_Difficulty
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Updated
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1.61M
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277
lime-nlp/GSM8K_Difficulty
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Updated
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1.13M
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187
lime-nlp/safer-instruct
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Updated
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11.2k
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90
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1