Publication
arXiv
Stage
Preprint
What we read
Summary of the paper
Authors
Wonje Jeung, Sangyeon Yoon, Hyesoo Hong, Yoonjun Cho, Dongjae Jeon, Bumjun Kim, Jean Oh, Youngjae Yu, Albert No
Universities and research institutions
Not yet supplied in verified metadata; the Brief does not guess.

Institution metadata: OpenAlex record ↗

What they did and found

Researchers tested whether describing the same goal in different but equivalent words changes the robot's reward signal. Across many models, small wording changes often flip the score from success to failure, even when the robot's actions stay the same.

Why it matters

Word choice can mislead planners. Relying on a single wording may steer the robot toward the wrong goal; checking phrasings or averaging scores can cut bias.

In experiments, researchers saw that rewriting the same goal in different words changed the reward signal used to guide learning, even when robot acted same.

A practical takeaway is to test rewards with different wordings and scores across phrases to avoid teaching the robot to chase wording rather than goals.

Read the paper PDF ↗

Original sources · 1
  1. Same Trajectory, Contradictory Rewards (ROBORMBENCH): Paraphrase Fragility in Vision Language Reward Models ↗arXiv · 2026-09-04

Check the original paper for its authors, methods, version and access terms.

What remains uncertain

This test uses English phrases and fixed tests; results may differ in other languages or real-world tasks.