repro-differentiable-conformal-training-for-llm-reasoning-factuality / source_current /results /felm_best_optimization_results.json
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https://huggingface.co/spaces/SabaPivot/repro-differentiable-conformal-training-for-llm-reasoning-factuality/resolve/main/source_current/results/felm_best_optimization_results.json
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19.9 kB
| { | |
| "description": "Best FELM DCF results aggregated from multiple runs", | |
| "date_generated": "2026-01-16", | |
| "source_runs": { | |
| "felm_anneal": "results/felm_anneal/dataset/hyperparams.json", | |
| "felm_anneal_low_lambda_v2": "results/felm_anneal_low_lambda_v2/dataset/hyperparams.json", | |
| "felm_hone": "results/felm_hone/dataset/hyperparams.json" | |
| }, | |
| "alpha_to_source": { | |
| "0.01": "felm_anneal", | |
| "0.02": "felm_anneal", | |
| "0.03": "felm_anneal", | |
| "0.04": "felm_anneal", | |
| "0.05": "felm_anneal", | |
| "0.06": "felm_anneal_low_lambda_v2", | |
| "0.07": "felm_anneal_low_lambda_v2", | |
| "0.08": "felm_anneal", | |
| "0.09": "felm_hone", | |
| "0.1": "felm_hone" | |
| }, | |
| "alpha_to_features": { | |
| "0.01": [ | |
| "frequency-score", | |
| "coherent_to_ancestors", | |
| "inference_gap_size", | |
| "has_missing_dependencies", | |
| "nx_pagerank", | |
| "nx_reachability", | |
| "nx_out_degree" | |
| ], | |
| "0.02": [ | |
| "frequency-score", | |
| "coherent_to_ancestors", | |
| "inference_gap_size", | |
| "has_missing_dependencies", | |
| "nx_pagerank", | |
| "nx_reachability", | |
| "nx_out_degree" | |
| ], | |
| "0.03": [ | |
| "frequency-score", | |
| "coherent_to_ancestors", | |
| "inference_gap_size", | |
| "has_missing_dependencies", | |
| "nx_pagerank", | |
| "nx_reachability", | |
| "nx_out_degree" | |
| ], | |
| "0.04": [ | |
| "frequency-score", | |
| "coherent_to_ancestors", | |
| "inference_gap_size", | |
| "has_missing_dependencies", | |
| "nx_pagerank", | |
| "nx_reachability", | |
| "nx_out_degree" | |
| ], | |
| "0.05": [ | |
| "frequency-score", | |
| "coherent_to_ancestors", | |
| "inference_gap_size", | |
| "has_missing_dependencies", | |
| "nx_pagerank", | |
| "nx_reachability", | |
| "nx_out_degree" | |
| ], | |
| "0.06": [ | |
| "frequency-score", | |
| "coherent_to_ancestors", | |
| "inference_gap_size", | |
| "has_missing_dependencies", | |
| "nx_pagerank", | |
| "nx_reachability", | |
| "nx_out_degree" | |
| ], | |
| "0.07": [ | |
| "frequency-score", | |
| "coherent_to_ancestors", | |
| "inference_gap_size", | |
| "has_missing_dependencies", | |
| "nx_pagerank", | |
| "nx_reachability", | |
| "nx_out_degree" | |
| ], | |
| "0.08": [ | |
| "frequency-score", | |
| "coherent_to_ancestors", | |
| "inference_gap_size", | |
| "has_missing_dependencies", | |
| "nx_pagerank", | |
| "nx_reachability", | |
| "nx_out_degree" | |
| ], | |
| "0.09": [ | |
| "frequency-score", | |
| "claim_index", | |
| "coherent_to_ancestors", | |
| "inference_gap_size", | |
| "has_missing_dependencies", | |
| "has_unnecessary_dependencies", | |
| "problem_relevance", | |
| "uses_problem_data", | |
| "domain_science", | |
| "domain_reasoning", | |
| "nx_in_degree", | |
| "nx_out_degree", | |
| "nx_pagerank", | |
| "nx_betweenness", | |
| "nx_closeness", | |
| "nx_clustering", | |
| "nx_is_source", | |
| "nx_is_sink", | |
| "nx_reachability", | |
| "nx_depth_from_sources" | |
| ], | |
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| "frequency-score", | |
| "claim_index", | |
| "coherent_to_ancestors", | |
| "inference_gap_size", | |
| "has_missing_dependencies", | |
| "has_unnecessary_dependencies", | |
| "problem_relevance", | |
| "uses_problem_data", | |
| "domain_science", | |
| "domain_reasoning", | |
| "nx_in_degree", | |
| "nx_out_degree", | |
| "nx_pagerank", | |
| "nx_betweenness", | |
| "nx_closeness", | |
| "nx_clustering", | |
| "nx_is_source", | |
| "nx_is_sink", | |
| "nx_reachability", | |
| "nx_depth_from_sources" | |
| ] | |
| }, | |
| "results": { | |
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| "alpha": 0.01, | |
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| "source": "felm_anneal", | |
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| "inference_gap_size", | |
| "has_missing_dependencies", | |
| "nx_pagerank", | |
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| "nx_out_degree" | |
| ], | |
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| "nx_closeness", | |
| "nx_clustering", | |
| "nx_is_source", | |
| "nx_is_sink", | |
| "nx_reachability", | |
| "nx_depth_from_sources" | |
| ], | |
| "learned": { | |
| "coverage": 0.9139285714285714, | |
| "coverage_std": 0.04530729530451504, | |
| "avg_claims_retained": 2.760357142857143, | |
| "avg_claims_retained_std": 0.444718557405786, | |
| "precision": 0.7079765419765419, | |
| "precision_std": 0.05769065357895684 | |
| }, | |
| "baseline": { | |
| "coverage": 0.9079999999999998, | |
| "coverage_std": 0.019979040793232657, | |
| "avg_claims_retained": 2.6562816901408444, | |
| "avg_claims_retained_std": 0.1811952994981004, | |
| "precision": 0.6821681198300918, | |
| "precision_std": 0.03279157111570292 | |
| }, | |
| "hyperparams": { | |
| "temp": 1.0, | |
| "beta": 1, | |
| "gamma": 1.0, | |
| "lambda_": 1.65, | |
| "violation_mode": "exponential", | |
| "squash_temp": 0.8, | |
| "cutoff_temp": 0.01, | |
| "lr": 0.015, | |
| "hard_coverage_mean": 0.9139285714285714, | |
| "hard_coverage_std": 0.04530729530451504, | |
| "hard_avg_claims_retained_mean": 2.760357142857143, | |
| "hard_avg_claims_retained_std": 0.444718557405786, | |
| "hard_precision_mean": 0.7079765419765419, | |
| "hard_precision_std": 0.05769065357895684 | |
| }, | |
| "meets_coverage": true | |
| }, | |
| "0.1": { | |
| "alpha": 0.1, | |
| "target_coverage": 0.9, | |
| "source": "felm_hone", | |
| "feature_set": "20_features", | |
| "features": [ | |
| "frequency-score", | |
| "claim_index", | |
| "coherent_to_ancestors", | |
| "inference_gap_size", | |
| "has_missing_dependencies", | |
| "has_unnecessary_dependencies", | |
| "problem_relevance", | |
| "uses_problem_data", | |
| "domain_science", | |
| "domain_reasoning", | |
| "nx_in_degree", | |
| "nx_out_degree", | |
| "nx_pagerank", | |
| "nx_betweenness", | |
| "nx_closeness", | |
| "nx_clustering", | |
| "nx_is_source", | |
| "nx_is_sink", | |
| "nx_reachability", | |
| "nx_depth_from_sources" | |
| ], | |
| "learned": { | |
| "coverage": 0.9053571428571429, | |
| "coverage_std": 0.04800168687197146, | |
| "avg_claims_retained": 2.846746031746032, | |
| "avg_claims_retained_std": 0.4311378112567819, | |
| "precision": 0.7341042568542568, | |
| "precision_std": 0.058453704655857086 | |
| }, | |
| "baseline": { | |
| "coverage": 0.9007887323943662, | |
| "coverage_std": 0.020213421880577218, | |
| "avg_claims_retained": 2.7548732394366198, | |
| "avg_claims_retained_std": 0.15754765135642929, | |
| "precision": 0.7018582606751622, | |
| "precision_std": 0.022396892802106768 | |
| }, | |
| "hyperparams": { | |
| "temp": 0.5, | |
| "beta": 1, | |
| "gamma": 1.25, | |
| "lambda_": 1.9, | |
| "violation_mode": "exponential", | |
| "squash_temp": 0.8, | |
| "cutoff_temp": 0.01, | |
| "lr": 0.015, | |
| "hard_coverage_mean": 0.9053571428571429, | |
| "hard_coverage_std": 0.04800168687197146, | |
| "hard_avg_claims_retained_mean": 2.846746031746032, | |
| "hard_avg_claims_retained_std": 0.4311378112567819, | |
| "hard_precision_mean": 0.7341042568542568, | |
| "hard_precision_std": 0.058453704655857086 | |
| }, | |
| "meets_coverage": true | |
| } | |
| } | |
| } |