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cs.CL2024
EC-Guide: A Comprehensive E-Commerce Guide for Instruction Tuning and Quantization
Zhaopeng Feng, Zijie Meng, Zuozhu Liu
Large language models (LLMs) have attracted considerable attention in various fields for their cost-effective solutions to diverse challenges, especially with advancements in instr…
cs.CL2024★ 1 cited
Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level
Zhaopeng Feng, Ruizhe Chen, Yan Zhang +2
General-purpose Large Language Models (LLMs) like GPT-4 have achieved remarkable advancements in machine translation (MT) by leveraging extensive web content. On the other hand, tr…
cs.CL2024
DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering with LLMs
Zijie Meng, Yan Zhang, Zhaopeng Feng +1
Large language models (LLMs) have shown impressive performance in reasoning benchmarks with the emergence of Chain-of-Thought (CoT), particularly in multi-choice question (MCQ). Ho…