Analogies Explained: Towards Understanding Word Embeddings

28 January 2019

Papers citing "Analogies Explained: Towards Understanding Word Embeddings"

24 / 24 papers shown

Title
Implicit Geometry of Next-token Prediction: From Language Sparsity Patterns to Model Representations Yize Zhao Tina Behnia V. Vakilian Christos Thrampoulidis 55 8 0 20 Feb 2025
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling Emanuele Marconato Sébastien Lachapelle Sebastian Weichwald Luigi Gresele 69 3 0 30 Oct 2024
Cross-Entropy Is All You Need To Invert the Data Generating Process Patrik Reizinger Alice Bizeul Attila Juhos Julia E. Vogt Randall Balestriero Wieland Brendel David Klindt SSL OOD BDL DRL 102 3 0 29 Oct 2024
Any four real numbers are on all fours with analogy Yves Lepage Miguel Couceiro 31 0 0 26 Jul 2024
Predicting Drug-Gene Relations via Analogy Tasks with Word Embeddings Hiroaki Yamagiwa Ryoma Hashimoto Kiwamu Arakane Ken Murakami Shou Soeda Momose Oyama Mariko Okada Hidetoshi Shimodaira Hidetoshi Shimodaira 36 0 0 03 Jun 2024
The Geometry of Categorical and Hierarchical Concepts in Large Language Models Kiho Park Yo Joong Choe Yibo Jiang Victor Veitch 50 27 0 03 Jun 2024
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods Hanlei Jin Yang Zhang Dan Meng Jun Wang Jinghua Tan 68 80 0 05 Mar 2024
FAME: Flexible, Scalable Analogy Mappings Engine Shahar Jacob Chen Shani Dafna Shahaf 29 1 0 03 Nov 2023
Why bother with geometry? On the relevance of linear decompositions of Transformer embeddings Timothee Mickus Raúl Vázquez 25 2 0 10 Oct 2023
Contrastive Loss is All You Need to Recover Analogies as Parallel Lines Narutatsu Ri Fei-Tzin Lee Nakul Verma 11 3 0 14 Jun 2023
Simulating News Recommendation Ecosystem for Fun and Profit Guangping Zhang Dongsheng Li Hansu Gu T. Lu Li Shang Ning Gu 16 0 0 23 May 2023
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why? Da Xu Bo Yang 24 3 0 09 Apr 2023
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models Matthew Trager Pramuditha Perera L. Zancato Alessandro Achille Parminder Bhatia Stefano Soatto CoGe 33 30 0 28 Feb 2023
A Scalable Space-efficient In-database Interpretability Framework for Embedding-based Semantic SQL Queries P. Kudva R. Bordawekar Apoorva Nitsure 22 0 0 23 Feb 2023
Norm of Word Embedding Encodes Information Gain Momose Oyama Sho Yokoi Hidetoshi Shimodaira 17 11 0 19 Dec 2022
On the Complexity of Bayesian Generalization Yuge Shi Manjie Xu J. Hopcroft Kun He J. Tenenbaum Song-Chun Zhu Ying Nian Wu Wenjuan Han Yixin Zhu 28 4 0 20 Nov 2022
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 29 82 0 13 Oct 2022
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective Edoardo Manino Julia Rozanova Danilo S. Carvalho André Freitas Lucas C. Cordeiro 27 7 0 26 Apr 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 21 4 0 18 Apr 2022
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics Vassilina Nikoulina Maxat Tezekbayev Nuradil Kozhakhmet Madina Babazhanova Matthias Gallé Z. Assylbekov 34 8 0 02 Mar 2021
Towards a Flexible Embedding Learning Framework Chin-Chia Michael Yeh Dhruv Gelda Zhongfang Zhuang Yan Zheng Liang Gou Wei Zhang 30 61 0 23 Sep 2020
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion Jiaxin Huang Yiqing Xie Yu Meng Jiaming Shen Yunyi Zhang Jiawei Han 42 27 0 27 Jan 2020
Inducing Relational Knowledge from BERT Zied Bouraoui Jose Camacho-Collados Steven Schockaert 23 166 0 28 Nov 2019
From Frequency to Meaning: Vector Space Models of Semantics Peter D. Turney Patrick Pantel 87 2,981 0 04 Mar 2010