1 citations · 2 across the 14 of their papers we have counts for
4 papers · 1 filter
Optimizing Retrieval for RAG via Reinforcement Learning
Jiawei Zhou, Lei Chen
As retrieval-augmented generation (RAG) becomes more widespread, the role of retrieval is shifting from retrieving information for human browsing to retrieving context for AI reaso…
OpenRAG: Optimizing RAG End-to-End via In-Context Retrieval Learning
Jiawei Zhou, Lei Chen
In this paper, we analyze and empirically show that the learned relevance for conventional information retrieval (IR) scenarios may be inconsistent in retrieval-augmented generatio…
Semi-Parametric Retrieval via Binary Bag-of-Tokens Index
Jiawei Zhou, Li Dong, Furu Wei +1
Information retrieval has transitioned from standalone systems into essential components across broader applications, with indexing efficiency, cost-effectiveness, and freshness be…
Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge Distillation
Yeongseo Jung, Eunseo Jung, Lei Chen
In Conversational Recommendation System (CRS), an agent is asked to recommend a set of items to users within natural language conversations. To address the need for both conversati…