1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CL2025
ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation
Zhicheng Lee, Shulin Cao, Jinxin Liu +5
Large Reasoning Models (LRMs) exhibit remarkable reasoning abilities but rely primarily on parametric knowledge, limiting factual accuracy. While recent works equip reinforcement l…
cs.CL2024
AtomR: Atomic Operator-Empowered Large Language Models for Heterogeneous Knowledge Reasoning
Amy Xin, Jinxin Liu, Zijun Yao +4
Despite the outstanding capabilities of large language models (LLMs), knowledge-intensive reasoning still remains a challenging task due to LLMs' limitations in compositional reaso…
cs.CL2024★ 1 cited
Improving Text Embeddings for Smaller Language Models Using Contrastive Fine-tuning
Trapoom Ukarapol, Zhicheng Lee, Amy Xin
While Large Language Models show remarkable performance in natural language understanding, their resource-intensive nature makes them less accessible. In contrast, smaller language…