Author

A. Vo

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#natural language process... Preprint Mar 2026

EnComp: Lightweight Encoder-Only Context Compression for Retrieval-Augmented Question Answering

This work proposes a lightweight encoder-only framework for query-driven sentence pruning that preserves answer-critical evidence while aggressively reducing irrelevant context, and learns marginal contribution scores for sentences using counterfactual training signals and optimizes a contrastive ranking objective.

Thao Do, D. Tran, A. Vo et al. · 2 citations

#natural language process... Preprint Sep 2026

Deep and shallow biases in language models

A bias depth score is introduced that measures both how strongly a model prefers its top answer under direct prompting and whether that answer survives scenario reframing and shows that Deep biases are consistently harder to remove than Shallow biases.

A. Vo, V. Dang, Khai-Nguyen Nguyen et al. · 0 citations