Decomposition experiments show boundary markers preserve 78-100% of gains from latent tokens while slots fail visual-memory predictions across multiple benchmarks and settings.
Visual sketchpad: Sketching as a visual chain of thought for multimodal language models
4 Pith papers cite this work, alongside 1 external citations. Polarity classification is still indexing.
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BiNSGPS proposes bidirectional neuro-symbolic interaction where an MLLM adviser uses symbolic solver feedback to rectify formal representations and propose hypotheses for geometry problem solving.
SIEVES improves selective prediction coverage by up to 3x on OOD VQA benchmarks by training a selector to score the quality of visual evidence produced by reasoner models, generalizing across benchmarks and proprietary models without internal access or per-task retraining.
citing papers explorer
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Beyond Visual Memory: Mechanistic Diagnostics of Latent Visual Reasoning
Decomposition experiments show boundary markers preserve 78-100% of gains from latent tokens while slots fail visual-memory predictions across multiple benchmarks and settings.
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BiNSGPS: Geometry Problem Solving via Bidirectional Neuro-Symbolic Interaction
BiNSGPS proposes bidirectional neuro-symbolic interaction where an MLLM adviser uses symbolic solver feedback to rectify formal representations and propose hypotheses for geometry problem solving.
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SIEVES: Selective Prediction Generalizes through Visual Evidence Scoring
SIEVES improves selective prediction coverage by up to 3x on OOD VQA benchmarks by training a selector to score the quality of visual evidence produced by reasoner models, generalizing across benchmarks and proprietary models without internal access or per-task retraining.
- MCMit: Hardware-Software Co-Design for Mid-Circuit Measurement Error Mitigation