Papers with internal mechanisms of bias exploitation

1 papers
Debiasing Reward Models via Causally Motivated Inference-Time Intervention (2026.acl-long)

Copied to clipboard

Challenge: Existing approaches for mitigating spurious features in RMs focus on response length . Existing methods focus on RM activation, resulting in performance trade-offs .
Approach: They propose a method that uses neurons to suppress spurious features in RMs at inference time.
Outcome: The proposed method reduces sensitivity to spurious features without inducing performance trade-offs on RM benchmarks.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations