Search Results for author: Zhihong Zhu

Found 11 papers, 4 papers with code

Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models

1 code implementation4 Mar 2024 Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen

Knowledge graph completion (KGC) is a widely used method to tackle incompleteness in knowledge graphs (KGs) by making predictions for missing links.

Link Prediction Relation

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models

1 code implementation28 Feb 2024 Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen

In this paper, we propose two model editing studies and validate them in the medical domain: (1) directly editing the factual medical knowledge and (2) editing the explanations to facts.

Hallucination Model Editing

Securing Reliability: A Brief Overview on Enhancing In-Context Learning for Foundation Models

no code implementations27 Feb 2024 Yunpeng Huang, Yaonan Gu, Jingwei Xu, Zhihong Zhu, Zhaorun Chen, Xiaoxing Ma

As foundation models (FMs) continue to shape the landscape of AI, the in-context learning (ICL) paradigm thrives but also encounters issues such as toxicity, hallucination, disparity, adversarial vulnerability, and inconsistency.

Hallucination In-Context Learning

AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition

no code implementations18 Feb 2024 Zhaorun Chen, Zhuokai Zhao, Zhihong Zhu, Ruiqi Zhang, Xiang Li, Bhiksha Raj, Huaxiu Yao

Recent advancements in large language models (LLMs) have shown promise in multi-step reasoning tasks, yet their reliance on extensive manual labeling to provide procedural feedback remains a significant impediment.

ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding

no code implementations19 Nov 2023 Xuxin Cheng, Bowen Cao, Qichen Ye, Zhihong Zhu, Hongxiang Li, Yuexian Zou

Specifically, in fine-tuning, we apply mutual learning and train two SLU models on the manual transcripts and the ASR transcripts, respectively, aiming to iteratively share knowledge between these two models.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory

1 code implementation ICCV 2023 Hongxiang Li, Meng Cao, Xuxin Cheng, Yaowei Li, Zhihong Zhu, Yuexian Zou

Due to two annoying issues in video grounding: (1) the co-existence of some visual entities in both ground truth and other moments, \ie semantic overlapping; (2) only a few moments in the video are annotated, \ie sparse annotation dilemma, vanilla contrastive learning is unable to model the correlations between temporally distant moments and learned inconsistent video representations.

Contrastive Learning Video Grounding

Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generation

no code implementations ICCV 2023 Yaowei Li, Bang Yang, Xuxin Cheng, Zhihong Zhu, Hongxiang Li, Yuexian Zou

Automatic radiology report generation has attracted enormous research interest due to its practical value in reducing the workload of radiologists.

Sentence

Improve Retrieval-based Dialogue System via Syntax-Informed Attention

no code implementations12 Mar 2023 Tengtao Song, Nuo Chen, Ji Jiang, Zhihong Zhu, Yuexian Zou

Since incorporating syntactic information like dependency structures into neural models can promote a better understanding of the sentences, such a method has been widely used in NLP tasks.

Retrieval Sentence

Exploiting Auxiliary Caption for Video Grounding

no code implementations15 Jan 2023 Hongxiang Li, Meng Cao, Xuxin Cheng, Zhihong Zhu, Yaowei Li, Yuexian Zou

Video grounding aims to locate a moment of interest matching the given query sentence from an untrimmed video.

Contrastive Learning Dense Video Captioning +2

A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding

1 code implementation8 Nov 2022 Zhihong Zhu, Weiyuan Xu, Xuxin Cheng, Tengtao Song, Yuexian Zou

Multi-intent detection and slot filling joint models are gaining increasing traction since they are closer to complicated real-world scenarios.

Intent Detection slot-filling +2

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