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cs.AI2026
LFQ: Logit-aware Final-block Quantization for Boosting the Generation Quality of Low-Bit Quantized LLMs
Jung Hyun Lee, June Yong Yang, Jungwook Choi +1
As large language models continue to scale, low-bit weight-only post-training quantization (PTQ) offers a practical solution to their memory-efficient deployment. Although block-wi…
cs.AI2024
Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models
Hyunjin Seo, Taewon Kim, June Yong Yang +1
Recent advancements in text-attributed graphs (TAGs) have significantly improved the quality of node features by using the textual modeling capabilities of language models. Despite…