Audio-Based Distributional Representations of Meaning Using a Fusion of Feature Encodings. - Giannis Karamanolakis; Elias Iosif; Athanasia Zlatintsi; Aggelos Pikrakis; Alexandros Potamianos (INTERSPEECH, 2016)

Audio-based Distributional Semantic Models for Music Auto-tagging and Similarity Measurement. - Giannis Karamanolakis; Elias Iosif; Athanasia Zlatintsi; Aggelos Pikrakis; Alexandros Potamianos (CoRR, 2016)

Item Recommendation with Variational Autoencoders and Heterogeneous Priors. - Giannis Karamanolakis; Kevin Raji Cherian; Ananth Ravi Narayan; Jie Yuan; Da Tang; Tony Jebara (DLRS@RecSys, 2018)

Item Recommendation with Variational Autoencoders and Heterogenous Priors. - Giannis Karamanolakis; Kevin Raji Cherian; Ananth Ravi Narayan; Jie Yuan; Da Tang; Tony Jebara (CoRR, 2018)

Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health. - Giannis Karamanolakis; Daniel Hsu 001; Luis Gravano (W-NUT@EMNLP, 2019)

Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training. - Giannis Karamanolakis; Daniel Hsu 001; Luis Gravano (EMNLP/IJCNLP (1), 2019)

Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only. - Ziyi Liu; Giannis Karamanolakis; Daniel Hsu 001; Luis Gravano (LOUHI@EMNLP, 2020)

TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories. - Giannis Karamanolakis; Jun Ma 029; Xin Luna Dong (ACL, 2020)

Cross-Lingual Text Classification with Minimal Resources by Transferring a Sparse Teacher. - Giannis Karamanolakis; Daniel Hsu 001; Luis Gravano (EMNLP (Findings), 2020)

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. - Xin Luna Dong; Xiang He 007; Andrey Kan; Xian Li; Yan Liang 004; Jun Ma 029; Yifan Ethan Xu; Chenwei Zhang; Tong Zhao 002; Gabriel Blanco Saldana; Saurabh Deshpande; Alexandre Michetti Manduca; et al. (KDD, 2020)

Quantifying the Effects of COVID-19 on Restaurant Reviews. - Ivy Cao; Zizhou Liu; Giannis Karamanolakis; Daniel Hsu 001; Luis Gravano (SocialNLP@NAACL, 2021)

Self-Training with Weak Supervision. - Giannis Karamanolakis; Subhabrata Mukherjee; Guoqing Zheng; Ahmed Hassan Awadallah (NAACL-HLT, 2021)

WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding. - Guoqing Zheng; Giannis Karamanolakis; Kai Shu; Ahmed Hassan Awadallah (CoRR, 2021)

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks. - Yizhong Wang; Swaroop Mishra; Pegah Alipoormolabashi; Yeganeh Kordi; Amirreza Mirzaei; Atharva Naik; Arjun Ashok; Arut Selvan Dhanasekaran; Anjana Arunkumar; David Stap; Eshaan Pathak; Giannis Karamanolakis; et al. (EMNLP, 2022)

WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding. - Guoqing Zheng; Giannis Karamanolakis; Kai Shu; Ahmed Hassan Awadallah (NAACL-HLT, 2022)

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. - Yizhong Wang; Swaroop Mishra; Pegah Alipoormolabashi; Yeganeh Kordi; Amirreza Mirzaei; Anjana Arunkumar; Arjun Ashok; Arut Selvan Dhanasekaran; Atharva Naik; David Stap; Eshaan Pathak; Giannis Karamanolakis; et al. (CoRR, 2022)

Efficient Machine Teaching Frameworks for Natural Language Processing - Giannis Karamanolakis (2022)

Flood Event Extraction from News Media to Support Satellite-Based Flood Insurance. - Tejit Pabari; Beth Tellman; Giannis Karamanolakis; Mitchell Thomas; Max Mauerman; Eugene Wu 002; Upmanu Lall; Marco Tedesco; Michael S. Steckler; Paolo Colosio; Daniel E. Osgood; Melody Braun; et al. (CoRR, 2023)

Interactive Machine Teaching by Labeling Rules and Instances. - Giannis Karamanolakis; Daniel Hsu 001; Luis Gravano (CoRR, 2024)

Interactive Machine Teaching by Labeling Rules and Instances. - Giannis Karamanolakis; Daniel Hsu 001; Luis Gravaano (Trans. Assoc. Comput. Linguistics, 2024)

MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs. - Yuhang Zhou; Giannis Karamanolakis; Victor Soto; Anna Rumshisky; Mayank Kulkarni; Furong Huang; Wei Ai 002; Jianhua Lu (NAACL (Long Papers), 2025)