bias mitigation 1logical reasoning 1multilingual evaluation 1multi-objective optimization 1synthetic data generation 1
From the 1 of 2 papers with an AI index.
2 papers
cs.CL2026
HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization
Abdullah Shaikh, Zain Naqi, Taha Zahid +2
The paper describes a system for SemEval‑2026 Task 11 that uses synthetic rule‑based training data and a multi‑objective loss to separate formal logical reasoning from content bias…
cs.RO2026
Analyzing Uncertainty in the Spatial Representation of the Kinematic Bicycle Model
Shafayat Abrar, M. Zaeem Baig, Shahir Ul Islam Anzal +1
Locating a vehicle and determining its orientation in an uncertain environment is a critical challenge in autonomous vehicle navigation and path planning. To address these challeng…