1 citations · 3 across the 7 of their papers we have counts for
7 papers
Learning Fine-Grained Grounded Citations for Attributed Large Language Models
Lei Huang, Xiaocheng Feng, Weitao Ma +8
Despite the impressive performance on information-seeking tasks, large language models (LLMs) still struggle with hallucinations. Attributed LLMs, which augment generated text with…
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
Weihong Zhong, Xiaocheng Feng, Liang Zhao +6
Though advanced in understanding visual information with human languages, Large Vision-Language Models (LVLMs) still suffer from multimodal hallucinations. A natural concern is tha…
Retrieval-Generation Synergy Augmented Large Language Models
Zhangyin Feng, Xiaocheng Feng, Dezhi Zhao +2
Large language models augmented with task-relevant documents have demonstrated impressive performance on knowledge-intensive tasks. However, regarding how to obtain effective docum…
Improved Visual Story Generation with Adaptive Context Modeling
Zhangyin Feng, Yuchen Ren, Xinmiao Yu +4
Diffusion models developed on top of powerful text-to-image generation models like Stable Diffusion achieve remarkable success in visual story generation. However, the best-perform…
Towards Higher Pareto Frontier in Multilingual Machine Translation
Yichong Huang, Xiaocheng Feng, Xinwei Geng +2
Multilingual neural machine translation has witnessed remarkable progress in recent years. However, the long-tailed distribution of multilingual corpora poses a challenge of Pareto…
The Role of Summarization in Generative Agents: A Preliminary Perspective
Xiachong Feng, Xiaocheng Feng, Bing Qin
Generative agents that simulate human society show tremendous potential for further research and practical applications. Specifically, the generative agent architecture comprising…