12 citations · 12 across the 2 of their papers we have counts for
3 papers
cs.CL2026
LODESTAR: Robust Entropy-Based Answer Selection in Retrieval-Augmented Generation for Question Answering -- Directing Frozen-LLM Entropy with a Reinforcement-Learned Prompt Polarizer under Misleading Passages
Hung-Chun Hsu, Po-Jen Ko, Che-Cheng Wu +2
Predictive-distribution entropy is a strong answer-selection rule in retrieval-augmented generation (RAG) for question answering: across five QA benchmarks, selecting the answer a…
cs.CL2024★ 12 cited
BioRAG: A RAG-LLM Framework for Biological Question Reasoning
Chengrui Wang, Qingqing Long, Meng Xiao +5
The question-answering system for Life science research, which is characterized by the rapid pace of discovery, evolving insights, and complex interactions among knowledge entities…
cs.LG2024
Pretrained Hybrids with MAD Skills
Nicholas Roberts, Samuel Guo, Zhiqi Gao +5
While Transformers underpin modern large language models (LMs), there is a growing list of alternative architectures with new capabilities, promises, and tradeoffs. This makes choo…