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  3. RIFT: A RubrIc Failure Mode Taxonomy and Automated Diagnosti
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RIFT: A RubrIc Failure Mode Taxonomy and Automated Diagnostics

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Evidence fresh

Evidence Receipt

Freshness: 2026-04-03T20:18:56.318497+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: RIFT: A RubrIc Failure Mode Taxonomy and Automated Diagnostics

PDF: https://arxiv.org/pdf/2604.01375v1

Source count: 0

Coverage: 0%

Last proof check: 2026-04-03T20:18:56.318Z

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RIFT: A RubrIc Failure Mode Taxonomy and Automated Diagnostics

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Canonical Paper Receipt

Last verification: 2026-04-03T20:18:56.318Z

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Prior Work
RubricBench: Aligning Model-Generated Rubrics with Human Standards
Score 5.0stable
Prior Work
RFEval: Benchmarking Reasoning Faithfulness under Counterfactual Reasoning Intervention in Large Reasoning Models
Score 5.0stable
Higher Viability
When Rubrics Fail: Error Enumeration as Reward in Reference-Free RL Post-Training for Virtual Try-On
Score 7.0up
Higher Viability
CDRRM: Contrast-Driven Rubric Generation for Reliable and Interpretable Reward Modeling
Score 8.0up
Higher Viability
AdaRubric: Task-Adaptive Rubrics for LLM Agent Evaluation
Score 8.0up
Higher Viability
A Rubric-Supervised Critic from Sparse Real-World Outcomes
Score 6.0up
Competing Approach
Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
Score 3.0down
Competing Approach
RubricEval: A Rubric-Level Meta-Evaluation Benchmark for LLM Judges in Instruction Following
Score 4.0down

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