most citedMemento: Fine-tuning LLM Agents without Fine-tuning LLMs

2 citations · 4 across the 5 of their papers we have counts for

collaborators
Showing cs.CLShow all

2 papers · 1 filter

cs.CL2025

Verifiable Format Control for Large Language Model Generations

Zhaoyang Wang, Jinqi Jiang, Huichi Zhou +4

Recent Large Language Models (LLMs) have demonstrated satisfying general instruction following ability. However, small LLMs with about 7B parameters still struggle fine-grained for…

cs.CL2025★ 2 cited

TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Huichi Zhou, Kin-Hei Lee, Zhonghao Zhan +5

Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by integrating external knowledge sources, enabling more accurate and contextually relevant responses tai…