arXiv AI September 25, 2026 By Pushp, Vaibhav Prajapati, Himangshu Sarma

R-DEIM Net: An Efficient Rationale-Augmented Dual-Expert Interaction Model for Paraphrase Detection

R-DEIM Net is a 76‑million‑parameter dual‑expert model designed for paraphrase detection that balances accuracy with computational efficiency. It combines an Interaction Expert, which captures token‑level similarity via multi‑scale 2D convolutions and attention, with a Reasoning Expert that generates human‑readable rationales using a Flan‑T5‑small decoder. On the Quora Question Pairs dataset, the model attains 90.07% accuracy and 90.16% F1‑score, matching strong transformer baselines while producing auxiliary rationales.

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arXiv Computation and Language

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arXiv AI

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arXiv AI

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Hugging Face Trending Papers

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Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders

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arXiv Machine Learning

Jun 10

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data

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By Anik Ghosh

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