9 citations · 13 across the 7 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.CL2024★ 3 cited
FLAME: Factuality-Aware Alignment for Large Language Models
Sheng-Chieh Lin, Luyu Gao, Barlas Oguz +4
Alignment is a standard procedure to fine-tune pre-trained large language models (LLMs) to follow natural language instructions and serve as helpful AI assistants. We have observed…
cs.CL2024★ 1 cited
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
Minghan Li, Xilun Chen, Ari Holtzman +4
Large language models (LLMs) often hallucinate and lack the ability to provide attribution for their generations. Semi-parametric LMs, such as kNN-LM, approach these limitations by…
cs.CV2024★ 9 cited
Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning
Rao Fu, Jingyu Liu, Xilun Chen +2
This paper introduces Scene-LLM, a 3D-visual-language model that enhances embodied agents' abilities in interactive 3D indoor environments by integrating the reasoning strengths of…