Frontier models still show greediness and frequency bias, researchers say
m_wulfmeier · x · 2026-07-21
The author says frontier models still show two decision biases: greediness, where the model collapses onto the highest-prior answer, and frequency bias, where salient context outweighs evidence.
They add that some training recipes can reduce these biases over the long term, including RL fine-tuning on self-generated rationales, as shown in their greedy agents paper.
More from Research
- Causal-only attention for non-generative tasks is wasteful, argues HF engineer — antoine_chaffin · 2026-09-11
- Catholic University of Chile researcher: scaling AI feedback is key to sustainable medical education — julianvarascom · 2026-09-11
- Nature paper images cellular activity across all organs, revealing body-wide circuits — arjunrajlab · 2026-09-11
- SignNet 1M Dataset Released for Sign Language Research — ducha_aiki · 2026-09-11
- ECCV26 Oral: Flow Matching Enables Single-Stage Multi-View Point Cloud Registration — ducha_aiki · 2026-09-11
- InFlux++ Method Released — ducha_aiki · 2026-09-11