Showing cs.CLShow all
3 papers · 1 filter
cs.CL2026
Only Ask What You Don't Know: Grounded Delta Planning for Efficient Multi-step RAG
Wei-Chieh Chou, Xuanjun Chen, Jian-Ren Lin +3
Multi-hop question answering remains challenging for Retrieval-Augmented Generation (RAG) because existing approaches either propagate errors across iterative retrieval rounds or o…
cs.CL2024
Multi-User Chat Assistant (MUCA): a Framework Using LLMs to Facilitate Group Conversations
Manqing Mao, Paishun Ting, Yijian Xiang +3
Recent advancements in large language models (LLMs) have provided a new avenue for chatbot development. Most existing research, however, has primarily centered on single-user chatb…
cs.CL2024
BatchPrompt: Accomplish more with less
Jianzhe Lin, Maurice Diesendruck, Liang Du +1
As the ever-increasing token limits of large language models (LLMs) have enabled long context as input, prompting with single data samples might no longer an efficient way. A strai…