语言大模型 / LLM

Analyzing Similarity Metrics for Data Selection for Language Model Pretraining

Dylan Sam, Ayan Chakrabarti, Afshin Rostamizadeh, Srikumar Ramalingam, Gui Citovsky, Sanjiv Kumar

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Google Research（谷歌研究） 纠错

专题命中 预训练与数据 ：language model(title,abstract)；pretraining(title,abstract)；分类 cs.CL、cs.LG

Language Models as Semantic Augmenters for Sequential Recommenders

Mahsa Valizadeh, Xiangjue Dong, Rui Tuo, James Caverlee

专题命中 预训练与数据 ：language model(title,abstract)；LLM(abstract)；large language model(abstract)；分类 cs.CL、cs.AI

Exploring Influence Factors on LLM Suitability for No-Code Development of End User IoT Applications

Minghe Wang, Alexandra Kapp, Trever Schirmer, Tobias Pfandzelter, David Bermbach

专题命中 预训练与数据 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)

From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora

Yingli Shen, Wen Lai, Shuo Wang, Ge Gao, Kangyang Luo, Alexander Fraser, Maosong Sun

机构 * Department of Computer Science and Technology, Tsinghua University（清华大学计算机科学与技术系） ； Technical University of Munich（慕尼黑技术大学） ； Munich Center for Machine Learning（慕尼黑机器学习中心） ； Minzu University of China（民族大学） ； Institute for AI, Tsinghua University（清华大学人工智能研究院） 纠错

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；instruction tuning(abstract)；pretraining(abstract)

Comments EMNLP 2025 Main Conference (Oral)

Combining Distantly Supervised Models with In Context Learning for Monolingual and Cross-Lingual Relation Extraction

Vipul Rathore, Malik Hammad Faisal, Parag Singla, Mausam

机构 * Indian Institute of Technology New Delhi（印度理工学院新德里） 纠错

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；prompting(abstract)

BlendCLIP: Bridging Synthetic and Real Domains for Zero-Shot 3D Object Classification with Multimodal Pretraining

Ajinkya Khoche, Gergő László Nagy, Maciej Wozniak, Thomas Gustafsson, Patric Jensfelt

机构 * KTH Royal Institute of Technology（皇家理工学院） ； Scania CV AB（斯堪尼亚公司） 纠错

专题命中 预训练与数据 ：pretraining(title,abstract)

Comments Under Review

FABRIC: Framework for Agent-Based Realistic Intelligence Creation

Abhigya Verma, Seganrasan Subramanian, Nandhakumar Kandasamy, Naman Gupta

机构 * ServiceNow 纠错

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI

Comments 51 Pages, 38 Listings, 5 Figures

BlockScan: Detecting Anomalies in Blockchain Transactions

Jiahao Yu, Xian Wu, Hao Liu, Wenbo Guo, Xinyu Xing

机构 * UC Santa Barbara（加州大学圣芭芭拉分校） ； Meta AI ； New York University（纽约大学） ； sec3 ； Northwestern University（西北大学） 纠错

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；pretraining(abstract)；分类 cs.AI

Zero-Shot Vehicle Model Recognition via Text-Based Retrieval-Augmented Generation

Wei-Chia Chang, Yan-Ann Chen

机构 * Yuan Ze University（元智大学） 纠错

专题命中 预训练与数据 ：language model(abstract)；pretraining(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Accepted by The 38th Conference of Open Innovations Association FRUCT, 2025

Can we Evaluate RAGs with Synthetic Data?

Jonas van Elburg, Peter van der Putten, Maarten Marx

机构 * IRLab, Informatics Institute, UvA, Amsterdam, the Netherlands（IR实验室、信息研究所、乌得勒支大学、阿姆斯特丹、荷兰） ； AI Lab, Pegasystems, Amsterdam, the Netherlands（AI实验室、佩加系统的阿姆斯特丹分部） ； LIACS, Leiden University, Leiden, the Netherlands（LIACS、莱顿大学、莱顿、荷兰） 纠错

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Accepted for the SynDAiTE workshop at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2025), September 15, 2025 - Porto, Portugal

GPTFace: Generative Pre-training of Facial-Linguistic Transformer by Span Masking and Weakly Correlated Text-image Data

Yudong Li, Hao Li, Xianxu Hou, Linlin Shen

机构 * Shenzhen University（深圳大学） 纠错

专题命中 预训练与数据 ：language model(abstract)

Comments This work was initially drafted in November 2022