Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding
Seongwoong Shim, Myunsoo Kim, Jae Hyeon Cho +1
Retrieval-Augmented Generation (RAG) is a framework for grounding Large Language Models (LLMs) in external, up-to-date information. However, recent advancements in context window s…
cs.LG2024
VPO: Leveraging the Number of Votes in Preference Optimization
Jae Hyeon Cho, Minkyung Park, Byung-Jun Lee
Direct Preference Optimization (DPO) trains a language model using human preference data, bypassing the explicit reward modeling phase of Reinforcement Learning from Human Feedback…