The paper defines Cherry-pick Override (CCO) as unauthorized directional commitment by LLM judges under mixed evidence and quantifies its prevalence (>84% on AVeriTeC conflicting subset) while testing intervention ladders and a two-channel reference probe.
curious case of contexts
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
A new Latent Imagination Module uses cross-attention to predict latent visual embeddings from text, improving accuracy and calibration of vision-language models on text-only inputs.
Mask-to-Correct and M2C+ use diversity-aware masking in RAG to identify erroneous claim spans and produce faithful corrections, outperforming baselines by up to 14% SARI without gold evidence.
citing papers explorer
-
Cherry-pick Override: Unsafe Directional Commitment in LLM Judges under Mixed Evidence
The paper defines Cherry-pick Override (CCO) as unauthorized directional commitment by LLM judges under mixed evidence and quantifies its prevalence (>84% on AVeriTeC conflicting subset) while testing intervention ladders and a two-channel reference probe.
-
Bridging the Missing-Modality Gap: Improving Text-Only Calibration of Vision Language Models
A new Latent Imagination Module uses cross-attention to predict latent visual embeddings from text, improving accuracy and calibration of vision-language models on text-only inputs.
-
Mask-to-Correct$^+$: Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction
Mask-to-Correct and M2C+ use diversity-aware masking in RAG to identify erroneous claim spans and produce faithful corrections, outperforming baselines by up to 14% SARI without gold evidence.