Paraphrase Consensus Is Not Self-Consistency: Instruction Reliance and Robustness in VLA Policies
cs.RO
Submitted: 2026-10-14
Updated: 2026-10-14
Comments: 30 pages (8 pages main text)
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
- A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
- It's MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models
- LangGap: Diagnosing and Closing the Language Gap in Vision-Language-Action Models
- Verifier-free Test-Time Sampling for Vision-Language-Action Models
- LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models
- Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
- Perturbation-Based Uncertainty for Failure Detection in Vision-Language-Action Models
- Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
- VLA-FAIL: Efficient Task Failure Detection for Finetuned Vision-Language-Action Models
- Evaluating the Zero-shot Robustness of Instruction-tuned Language Models
- Unsupervised Data Augmentation for Consistency Training
- Grounded Semantic Re-Binding for Robust Instruction Generalization in Vision-Language-Action Models
- SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
- LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization
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