Search papers, labs, and topics across Lattice.
Affiliation:
3
0
3
Cultural cues can mislead language models into choosing the wrong answers even when they select the correct normative framework, exposing a significant knowledge gap in AI systems.
Contextual biases in INER can lead to catastrophic forgetting, but a novel Type-Balanced Contextual Learning method effectively mitigates this issue, enhancing model retention of old knowledge.
Projector-level forgetting in MLLMs can be mitigated, leading to significant performance gains in continual instruction tuning without excessive parameter growth.
