6 citations · 14 across the 15 of their papers we have counts for
Showing cs.CLShow all
3 papers · 1 filter
cs.CL2026
Scaling Multi-Hop Training Data via Graph-Constrained Path Selection
Pengyu Chen, Yonggang Zhang, Mingming Chen +3
Endowing large language models with compositional reasoning over specialized documents requires multi-hop training data at scale, where such data rarely exists outside of curated b…
cs.CL2024★ 17 cited
RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation
Chi-Min Chan, Chunpu Xu, Ruibin Yuan +4
Large Language Models (LLMs) exhibit remarkable capabilities but are prone to generating inaccurate or hallucinatory responses. This limitation stems from their reliance on vast pr…
cs.CL2023★ 1 cited
Continual Learning with Dirichlet Generative-based Rehearsal
Min Zeng, Wei Xue, Qifeng Liu +1
Recent advancements in data-driven task-oriented dialogue systems (ToDs) struggle with incremental learning due to computational constraints and time-consuming issues. Continual Le…