Tootfinder

I have long been opposed to Jury Nullification. However, I recognize that it happens.
(I was a juror once in an extremely clear cut criminal case where one of the other jurors clearly did not want to besmirch the defendant and wanted to punish the homosexual victim, so she caused us become a "hung jury.". The other eleven of us were very angry at her clear, but successful, nullification of the law.)
Today my reluctance to support jury nullification has diminished, eve…

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing
Chengyan Wu, Yiqiang Cai, Yufei Cheng, Yun Xue
https://arxiv.org/abs/2509.07889

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing
This paper presents our team's solution to Shared Task 7 of NLPCC-2025, which focuses on sentence-level gender bias detection and mitigation in Chinese. The task aims to promote fairness and controllability in natural language generation by automatically detecting, classifying, and mitigating gender bias. To address this challenge, we adopt a fine-tuning approach based on large language models (LLMs), efficiently adapt to the bias detection task via Low-Rank Adaptation (LoRA). In terms of data …