Papers by Sumanth Manduru
Beyond Bias Scores: Unmasking Vacuous Neutrality in Small Language Models (2026.eacl-srw)
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| Challenge: | Large Language Models (LLMs) are expensive to deploy locally and can reproduce harmful social biases in high-stakes settings such as healthcare and education. |
| Approach: | They propose a multi-dimensional evaluation paradigm to assess SLM fairness prior to deployment. |
| Outcome: | The proposed framework examines model robustness across four stages - biases, utility, ambiguity handling, and positional bias over diverse social bias categories. |