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Found 4 papers, 2 papers with code
Mixed Preference Optimization: Reinforcement Learning with Data Selection and Better Reference Model
By analyzing the stability and robustness of RLHF and DPO, we propose MPO (Mixed Preference Optimization), a novel method that mitigates the weaknesses of both approaches.
Diversify Question Generation with Retrieval-Augmented Style Transfer
Given a textual passage and an answer, humans are able to ask questions with various expressions, but this ability is still challenging for most question generation (QG) systems.
Improving Question Generation with Multi-level Content Planning
Previous studies have suggested that key phrase selection is essential for question generation (QG), yet it is still challenging to connect such disjointed phrases into meaningful questions, particularly for long context.
Cross-lingual Data Augmentation for Document-grounded Dialog Systems in Low Resource Languages
This paper proposes a framework to address the issue of data scarcity in Document-Grounded Dialogue Systems(DGDS).
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