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cs.CL2025
RaDeR: Reasoning-aware Dense Retrieval Models
Debrup Das, Sam O' Nuallain, Razieh Rahimi
We propose RaDeR, a set of reasoning-based dense retrieval models trained with data derived from mathematical problem solving using large language models (LLMs). Our method leverag…
cs.CL2025
SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation
Saurabh Kumar Pandey, Sachin Vashistha, Debrup Das +2
To understand the complexity of sequence classification tasks, Hahn et al. (2021) proposed sensitivity as the number of disjoint subsets of the input sequence that can each be indi…