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KDD2023丨大模型論文合集

2023-07-26 11:52 作者:AMiner科技  | 我要投稿

ACM SIGKDD(國際數(shù)據(jù)挖掘與知識發(fā)現(xiàn)大會,簡稱KDD)會議始于1989年,是數(shù)據(jù)挖掘領(lǐng)域歷史最悠久、規(guī)模最大的國際頂級學(xué)術(shù)會議,也是首個引入大數(shù)據(jù)、數(shù)據(jù)科學(xué)、預(yù)測分析、眾包等概念的會議,每年吸引了大量數(shù)據(jù)挖掘、機器學(xué)習(xí)、大數(shù)據(jù)和人工智能等領(lǐng)域的研究學(xué)者、從業(yè)人員參與。

AMiner通過AI技術(shù),對 KDD2023 收錄的會議論文進行了分類整理,今日分享的是大模型主題論文?。ㄓ捎谄P(guān)系,本篇只展現(xiàn)部分論文,點擊閱讀原文可直達KDD頂會頁面查看所有論文)

1.WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences

aminer.cn/pub/64893b17d

2.Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design

aminer.cn/pub/64af9a063

3.LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models

aminer.cn/pub/64af99fd3

4.JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving

aminer.cn/pub/64af9a043

5.BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction

aminer.cn/pub/64af9a043

6.RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment

aminer.cn/pub/64af9a053

7.QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search

aminer.cn/pub/6487e9fad

8.Automated 3D Pre-Training for Molecular Property Prediction

aminer.cn/pub/64893b17d

9.GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation

aminer.cn/pub/63fec3cd9

10.CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

aminer.cn/pub/64264f7b9

11.Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications

aminer.cn/pub/647eaf51d

12.Text Is All You Need: Learning Language Representations for Sequential Recommendation

aminer.cn/pub/646d863cd


KDD頂會:https://www.aminer.cn/conf/5ea1b22bedb6e7d53c00c41b/KDD2023

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