arxiv:2411.16035
Charlie Snell
sea-snell
AI & ML interests
NLP, RL, open-endedness, generative modeling
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sea-snell/dakota_model_prm_initial_rollouts_64_per_question_for_seth_no_metadata_just_prompts
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a dataset
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sea-snell/dakota_model_prm_initial_rollouts_64_per_question_for_seth_no_metadata
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Predicting Emergent Capabilities by Finetuning
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sea-snell/merged_verifier_generator_mean_v8
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sea-snell/merged_verifier_generator_mean_v7
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sea-snell/merged_verifier_generator_mean_v6
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sea-snell/merged_verifier_generator_mean_v5
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sea-snell/merged_verifier_generator_mean_v4
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sea-snell/merged_verifier_generator_mean_v3
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sea-snell/merged_verifier_generator_mean_v2
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sea-snell/merged_verifier_generator_mean
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sea-snell/dakota_model_prm_initial_rollouts_64_per_question_for_seth_no_metadata_just_prompts
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sea-snell/dakota_model_prm_initial_rollouts_64_per_question_for_seth_no_metadata
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sea-snell/anikait_prm_data_dedup_try2
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sea-snell/anikait_prm_data_dedup
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