Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly Detection

no code implementations • 7 Jun 2024 • Yiheng Zhang, Yunkang Cao, Tianhang Zhang, Weiming Shen

This study targets Multi-Lighting Image Anomaly Detection (MLIAD), where multiple lighting conditions are utilized to enhance imaging quality and anomaly detection performance.

RefChecker: Reference-based Fine-grained Hallucination Checker and Benchmark for Large Language Models

1 code implementation • 23 May 2024 • Xiangkun Hu, Dongyu Ru, Lin Qiu, Qipeng Guo, Tianhang Zhang, Yang Xu, Yun Luo, PengFei Liu, Yue Zhang, Zheng Zhang

In RefChecker, an extractor generates claim-triplets from a response, which are then evaluated by a checker against a reference.

Hallucination Sentence

RepEval: Effective Text Evaluation with LLM Representation

no code implementations • 30 Apr 2024 • Shuqian Sheng, Yi Xu, Tianhang Zhang, Zanwei Shen, Luoyi Fu, Jiaxin Ding, Lei Zhou, Xinbing Wang, Chenghu Zhou

Automatic evaluation metrics for generated texts play an important role in the NLG field, especially with the rapid growth of LLMs.

GeoGalactica: A Scientific Large Language Model in Geoscience

1 code implementation • 31 Dec 2023 • Zhouhan Lin, Cheng Deng, Le Zhou, Tianhang Zhang, Yi Xu, Yutong Xu, Zhongmou He, Yuanyuan Shi, Beiya Dai, Yunchong Song, Boyi Zeng, Qiyuan Chen, Yuxun Miao, Bo Xue, Shu Wang, Luoyi Fu, Weinan Zhang, Junxian He, Yunqiang Zhu, Xinbing Wang, Chenghu Zhou

To our best knowledge, it is the largest language model for the geoscience domain.

Document Classification General Knowledge +4

Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus

1 code implementation • 22 Nov 2023 • Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu

Large Language Models (LLMs) have gained significant popularity for their impressive performance across diverse fields.

Hallucination Retrieval

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity

1 code implementation • 11 Oct 2023 • Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang

This survey addresses the crucial issue of factuality in Large Language Models (LLMs).

Retrieval Specificity

K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization

1 code implementation • 8 Jun 2023 • Cheng Deng, Tianhang Zhang, Zhongmou He, Yi Xu, Qiyuan Chen, Yuanyuan Shi, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He

Large language models (LLMs) have achieved great success in general domains of natural language processing.

Language Modelling