8 citations · 8 across the 3 of their papers we have counts for
Showing cs.CLShow all
3 papers · 1 filter
cs.CL2025
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences
Xiangyang Liu, Junliang He, Xipeng Qiu
Large language models (LLMs) can perform complex reasoning by generating intermediate thoughts under zero-shot or few-shot settings. However, zero-shot prompting always encounters…
cs.CL2024
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
Xinghao Wang, Junliang He, Pengyu Wang +3
Contrastive-learning-based methods have dominated sentence representation learning. These methods regularize the representation space by pulling similar sentence representations cl…
cs.CL2023★ 8 cited
Evaluating Hallucinations in Chinese Large Language Models
Qinyuan Cheng, Tianxiang Sun, Wenwei Zhang +8
In this paper, we establish a benchmark named HalluQA (Chinese Hallucination Question-Answering) to measure the hallucination phenomenon in Chinese large language models. HalluQA c…