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cs.CL2025
Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation
Xujun Peng, Anoop Kumar, Jingyu Wu +2
Retrieval-Augmented Generation (RAG) systems leverage Large Language Models (LLMs) to generate accurate and reliable responses that are grounded in retrieved context. However, LLMs…
cs.CL2025
Improving Consistency in Retrieval-Augmented Systems with Group Similarity Rewards
Faisal Hamman, Chenyang Zhu, Anoop Kumar +4
RAG systems are increasingly deployed in high-stakes domains where users expect outputs to be consistent across semantically equivalent queries. However, existing systems often exh…
cs.CL2024
Leveraging LLMs for Dialogue Quality Measurement
Jinghan Jia, Abi Komma, Timothy Leffel +5
In task-oriented conversational AI evaluation, unsupervised methods poorly correlate with human judgments, and supervised approaches lack generalization. Recent advances in large l…