Papers by Rumi Chunara
Identity-Robust Language Model Generation via Content Integrity Preservation (2026.acl-long)
Copied to clipboard
| Challenge: | Existing studies show that Large Language Model outputs vary across sociodemographic attributes . this causes disparities in factual accuracy, utility, and safety, even for objective questions . |
| Approach: | They propose a lightweight framework for identity-robust generation that neutralizes non-critical identity information while preserving semantically essential attributes. |
| Outcome: | The proposed framework reduces identity-dependent generation bias by 66.3% over vanilla prompting and outperforms existing prompt-based defenses. |