Irrelevant context can substantially steer language model decisions

Controlled comparisons show that passive exposure changes model choices, including compliance with user requirements and judgments of false claims.

Academic
Yuxiang Zheng · Lin Tian · Marian-Andrei Rizoiu

Behavioral Data Science Lab · University of Technology Sydney

Research Digest··2 min read
Zheng, Tian and Rizoiu tested whether adding external content changes LLM decisions when that content supplies no valid reason to revise the answer.

The authors compared model responses to the same decision tasks with and without added passages.

Why this paper

From Behavioral Data Science Lab and University of Technology Sydney

In one line

Passive context exposure shifts LLM decisions even when the extra content is irrelevant, sometimes by nearly 50 percentage points, and can increase errors.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ·No stated limitations found
  • ·No benchmark numbers found

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

§

Research Digest

Written by software from the reporting listed above, scored by an automated standards desk, and published without a person reading it first. If something here is wrong, tell the editor and it will be put right.