Publications

Jump to publications in ‘24, ‘23, ‘22, ‘21, ‘20, ‘18.

2024

  • Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
    Asma Ghandeharioun,*, Avi Caciularu*, Adam Pearce, Lucas Dixon, and Mor Geva
    The International Conference on Machine Learning (ICML)
    Paper Website Code

2023

  • Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks
    Alon Jacovi, Avi Caciularu, Omer Goldman, and Yoav Goldberg
    The Conference on Empirical Methods in Natural Language Processing (EMNLP)
    Paper

  • The Curious Case of Hallucinatory Unanswerablity: Finding Truths in the Hidden States of Over-Confident Large Language Models
    Aviv Slobodkin, Omer Goldman, Avi Caciularu, Ido Dagan, and Shauli Ravfogel
    The Conference on Empirical Methods in Natural Language Processing (EMNLP)
    Paper Code

  • Optimizing Retrieval-augmented Reader Models via Token Elimination
    Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, and Moshe Wasserblat
    The Conference on Empirical Methods in Natural Language Processing (EMNLP)
    Paper Code

  • A Comprehensive Evaluation of Tool-Assisted Generation Strategies
    Alon Jacovi, Avi Caciularu, Jonathan Herzig, Roee Aharoni, Bernd Bohnet, and Mor Geva
    The Conference on Empirical Methods in Natural Language Processing, Findings (EMNLP Findings)
    Paper Code

  • Don’t Add, don’t Miss: Effective Content Preserving Generation from Pre-Selected Text Spans
    Aviv Slobodkin, Avi Caciularu, Eran Hirsch, and Ido Dagan
    The Conference on Empirical Methods in Natural Language Processing, Findings (EMNLP Findings)
    Paper Code

  • Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering
    Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, and Arman Cohan
    The Annual Meeting of the Association for Computational Linguistics (ACL)
    Paper Code

  • Revisiting Sentence Union Generation as a Testbed for Text Consolidation
    Eran Hirsch, Valentina Pyatkin, Ruben Wolhandler, Avi Caciularu, Asi Shefer, and Ido Dagan
    The Annual Meeting of the Association for Computational Linguistics, Findings (ACL Findings)
    Paper Code Dataset

  • An Entangled Mixture of Variational Autoencoders Approach to Deep Clustering
    Avi Caciularu and Jacob Goldberger
    Neurocomputing
    Paper Code

  • Explaining the decisions of power quality disturbance classifiers using latent space features
    Ram Machlev, Michael Perl, Avi Caciularu, Juri Belikov, Kfir Yehuda Levy, and Yoash Levron
    The International Journal of Electrical Power and Energy Systems
    Paper

2022

  • Cross-document Event Coreference Search: Task, Dataset and Modeling
    Alon Eirew, Avi Caciularu, and Ido Dagan
    The Conference on Empirical Methods in Natural Language Processing (EMNLP)
    Paper Code Dataset

  • QASem Parsing: Text-to-text Modeling of QA-based Semantics
    Ayal Klein, Eran Hirsch, Ron Eliav, Valentina Pyatkin, Avi Caciularu, and Ido Dagan
    The Conference on Empirical Methods in Natural Language Processing (EMNLP)
    Paper Demo Code

  • Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space
    Mor Geva*, Avi Caciularu*, Kevin Ro Wang, and Yoav Goldberg
    The Conference on Empirical Methods in Natural Language Processing (EMNLP)
    Paper Code

  • LM-Debugger: An Interactive Tool for Inspection and Intervention in Transformer-Based Language Models
    Mor Geva, Avi Caciularu, Guy Dar, Paul Roit, Shoval Sadde, Micah Shlain, Bar Tamir, and Yoav Goldberg
    The Conference on Empirical Methods in Natural Language Processing, System demonstrations (EMNLP demo)
    Paper Demo Code

  • Long Context Question Answering via Supervised Contrastive Learning
    Avi Caciularu, Ido Dagan, Jacob Goldberger, and Arman Cohan
    The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
    Paper Code

  • A Proposition-Level Clustering Approach for Multi-Document Summarization
    Ori Ernst, Avi Caciularu*, Ori Shapira*, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, and Ido Dagan
    The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
    Paper Code

  • Interpreting BERT-based Text Similarity via Activation and Saliency Maps
    Itzik Malkiel*, Dvir Ginzburg*, Oren Barkan, Avi Caciularu, Jonathan Weill, and Noam Koenigstein
    The International World Wide Web Conference (WWW)
    Paper

  • MetricBERT: Text Representation Learning via Self-Supervised Triplet Training
    Itzik Malkiel*, Dvir Ginzburg*, Oren Barkan, Avi Caciularu, Jonathan Weill, and Noam Koenigstein
    The International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
    Paper

2021

  • CDLM: Cross-document Language Modeling
    Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, and Ido Dagan
    The Conference on Empirical Methods in Natural Language Processing, Findings (EMNLP Findings)
    Paper Code

  • iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration
    Eran Hirsch, Alon Eirew*, Ori Shapira*, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, and Ido Dagan
    The Conference on Empirical Methods in Natural Language Processing, System demonstrations (EMNLP demo)
    Paper Demo Code

  • Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates
    Oren Barkan*, Roy Hirsch*, Ori Katz*, Avi Caciularu, Jonathan Weill, and Noam Koenigstein
    The International Conference on Data Mining (ICDM)
    Paper

  • Representation Learning via Variational Bayesian Networks
    Oren Barkan*, Avi Caciularu*, Idan Rejwan*, Ori Katz, Jonathan Weill, Itzik Malkiel and Noam Koenigstein
    The International Conference on Information and Knowledge Management (CIKM)
    Paper

  • Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps
    Oren Barkan*, Edan Hauon*, Avi Caciularu*, Ori Katz, Itzik Malkiel, Omri Armstrong, and Noam Koenigstein
    The International Conference on Information and Knowledge Management (CIKM)
    Paper

  • Anchor-based Collaborative Filtering
    Oren Barkan*, Roy Hirsch*, Ori Katz*, Avi Caciularu, and Noam Koenigstein
    The International Conference on Information and Knowledge Management (CIKM)
    Paper

  • GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps
    Oren Barkan*, Omri Armstrong*, Amir Hertz*, Avi Caciularu, Ori Katz, Jonathan Weill, Itzik Malkiel, and Noam Koenigstein
    The International Conference on Information and Knowledge Management (CIKM)
    Paper

  • On the Evolution of Word Order
    Idan Rejwan and Avi Caciularu
    Recent Advances in Natural Language Processing (RANLP), Student Research Workshop
    Paper

  • Denoising Word Embeddings by Averaging in a Shared Space
    Avi Caciularu, Ido Dagan, and Jacob Goldberger
    The Joint Conference on Lexical and Computational Semantics (*SEM)
    Paper Code

  • Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference
    Dvir Ginzburg* ,Itzik Malkiel*, Oren Barkan, Avi Caciularu, and Noam Koenigstein
    The Annual Meeting of the Association for Computational Linguistics, Findings (ACL Findings)
    Paper Code

  • Cold Start Revisited: A Deep Hybrid Recommender with Cold-Warm Item Harmonization
    Oren Barkan*, Roy Hirsch*, Ori Katz*, Avi Caciularu, Yoni Weill, and Noam Koenigstein
    The International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
    Paper

  • perm2vec: Attentive Graph Permutation Selection for Decoding of Error Correction Codes
    Avi Caciularu*, Nir Raviv*, Tomer Raviv, Jacob Goldberger, and Yair Be’ery
    IEEE Transactions on Cognitive Communications and Networking, Special Issue
    Paper

2020

  • Within-Between Lexical Relation Classification
    Avi Caciularu*, Oren Barkan*, and Ido Dagan
    The Conference on Empirical Methods in Natural Language Processing (EMNLP)
    Paper

  • Paraphrasing vs Coreferring: Two Sides of the Same Coin
    Yehudit Meged, Avi Caciularu, Vered Shwartz, and Ido Dagan
    The Conference on Empirical Methods in Natural Language Processing, Findings (EMNLP Findings)
    Paper Code

  • RecoBERT: A Catalog Language Model for Text-Based Recommendations
    Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, and Noam Koenigstein
    The Conference on Empirical Methods in Natural Language Processing, Findings (EMNLP Findings)
    Paper

  • Cold Item Recommendations via Hierarchical Item2vec
    Oren Barkan*, Avi Caciularu*, Idan Rejwan*, Jonathan Weill, Ori Katz, Itzik Malkiel, and Noam Koenigstein
    The International Conference on Data Mining (ICDM)
    Paper

  • Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering
    Oren Barkan*, Yonatan Fuchs*, Avi Caciularu, and Noam Koenigstein
    The ACM Conference on Recommender Systems (RecSys)
    Paper

  • Attentive Item2vec: Neural Attentive User Representations
    Oren Barkan*, Avi Caciularu*, Ori Katz, and Noam Koenigstein
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
    Paper

  • Bayesian Hierarchical Words Representation Learning
    Oren Barkan*, Idan Rejwan*, Avi Caciularu*, and Noam Koenigstein
    The Annual Meeting of the Association for Computational Linguistics (ACL)
    Paper

  • Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders
    Avi Caciularu and David Burshtein
    IEEE Transactions on Cognitive Communications and Networking (TCCN)
    Paper

  • Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding
    Oren Barkan*, Noam Razin*, Itzik Malkiel, Ori Katz, Avi Caciularu, and Noam Koenigstein
    The AAAI Conference on Artificial Intelligence (AAAI)
    Paper Code

2018

  • ARPM: Additive, Retentive Penalty Method for Multidimensional NILM Algorithms
    Mattan Serry, David Sriker, Avi Caciularu, Ram Machlev, Yuval Beck, and David Raz
    The International Conference on the Science of Electrical Engineering (ICSEE)
    Paper

  • Blind Channel Equalization Using Variational Autoencoders
    Avi Caciularu and David Burshtein
    The International Conference on Communications (ICC)
    Paper

  • Inducing Regular Grammars Using Recurrent Neural Networks
    Mor Cohen*, Avi Caciularu*, Idan Rejwan*, and Jonathan Berant
    The International Joint Conferences on Artificial Intelligence (IJCAI): Workshop on Learning and Reasoning (L&R)
    Paper Code