Tootfinder

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 …

Differentiable by Design Nonlinear Optimization and its application to Model Predictive Control
Riccardo Zuliani, Efe Balta, John Lygeros
https://arxiv.org/abs/2509.12692 https:…

Differentiable by Design Nonlinear Optimization and its application to Model Predictive Control
Nonlinear optimization-based policies have seen large success in recent years, primarily due to the incredible capabilities of nonlinear Model Predictive Control (nMPC). These policies require solving computationally demanding nonlinear optimization programs (NLP) online at each time-step. The solution map of these NLPs, viewed as a function of the measured state of the system and design parameters, may not be differentiable, which poses significant challenges if the policy is designed with a p…

Probing the Scotogenic Dirac Model with FIMP Dark Matter and $\Delta N_{\rm eff}$
Shu-Yuan Guo, Man-Yu Zhao
https://arxiv.org/abs/2508.16362 https://arxiv.…

Probing the Scotogenic Dirac Model with FIMP Dark Matter and $ΔN_{\rm eff}$
We study a feebly interacting massive particle realization of the Scotogenic Dirac Model in which the lightest neutral fermion $N_1$ serves as a dark matter candidate, produced via the freeze-in or super-WIMP mechanism. The model generates Dirac neutrino masses at one loop, resulting in a rank-2 mass matrix that predicts one nearly massless neutrino. We analyze the DM relic density for various next-to-lightest odd particles (NLOPs), finding that coannihilation effects and enhanced annihilation …

Hierarchical Indexing with Knowledge Enrichment for Multilingual Video Corpus Retrieval
Yu Wang, Tianhao Tan, Yifei Wang
https://arxiv.org/abs/2510.09553 https://

Hierarchical Indexing with Knowledge Enrichment for Multilingual Video Corpus Retrieval
Retrieving relevant instructional videos from multilingual medical archives is crucial for answering complex, multi-hop questions across language boundaries. However, existing systems either compress hour-long videos into coarse embeddings or incur prohibitive costs for fine-grained matching. We tackle the Multilingual Video Corpus Retrieval (mVCR) task in the NLPCC-2025 M4IVQA challenge with a multi-stage framework that integrates multilingual semantics, domain terminology, and efficient long-…

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