From the paper 'Readability ≠Learnability: Rethinking the Role of Simplicity in Training Small Language Models' (COLM 2025)
Ivan Lee
ivnle
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AI & ML interests
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Organizations
models 69
ivnle/bad-autoencoding
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ivnle/32B_lora_fsdp_bs8192_20250603_214822
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ivnle/14B_lora_fsdp_bs8192_20250603_170333
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ivnle/14B_lora_fsdp_bs8192_20250603_165744
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ivnle/14B_lora_fsdp_bs8192_20250603_163821
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ivnle/14B_lora_fsdp_bs8192_20250603_163310
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ivnle/14B_lora_fsdp_bs8192_20250603_162908
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ivnle/32B_lora_fsdp_bs8192_20250603_150946
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ivnle/14B_lora_fsdp_bs8192_20250603_144818
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ivnle/0.5B_lora_fsdp_bs8192_20250603_144709
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datasets 21
ivnle/advbench_harmful_strings
Viewer
• Updated
• 574 • 7
ivnle/advbench_harmful_behaviors
Viewer
• Updated
• 520 • 57
ivnle/true
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• Updated
• 100 • 8
ivnle/false
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• 100 • 11
ivnle/codex-random-20
Viewer
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• 20 • 8
ivnle/codex-interval-20
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• Updated
• 1.17k • 11
ivnle/codex-intervals-20
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• Updated
• 1.17k • 14
ivnle/codex-llm-10
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• 200 • 10
ivnle/codex-line-50
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• Updated
• 1.17k • 13
ivnle/codex-line-v1
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• 9