Avi Caciularu

According to our database, Avi Caciularu authored at least 56 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MDCure: A Scalable Pipeline for Multi-Document Instruction-Following.

Gabrielle Kaili-May Liu, Bowen Shi, Avi Caciularu, Idan Szpektor, Arman Cohan

CoRR, 2024

CoverBench: A Challenging Benchmark for Complex Claim Verification.

Alon Jacovi, Moran Ambar, Eyal Ben-David, Uri Shaham, Amir Feder, Mor Geva, Dror Marcus, Avi Caciularu

CoRR, 2024

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach.

Irina Jurenka, Markus Kunesch, Kevin R. McKee, Daniel Gillick, Shaojian Zhu, Sara Wiltberger, Shubham Milind Phal, Katherine L. Hermann, Daniel Kasenberg, Avishkar Bhoopchand, Ankit Anand, Miruna Pîslar, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Görür, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell L. Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Christopher Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulos, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim

CoRR, 2024

SEAM: A Stochastic Benchmark for Multi-Document Tasks.

Gili Lior, Avi Caciularu, Arie Cattan, Shahar Levy, Ori Shapira, Gabriel Stanovsky

CoRR, 2024

Identifying User Goals from UI Trajectories.

Omri Berkovitch, Sapir Caduri, Noam Kahlon, Anatoly Efros, Avi Caciularu, Ido Dagan

CoRR, 2024

Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations.

Arie Cattan, Alon Jacovi, Alex Fabrikant, Jonathan Herzig, Roee Aharoni, Hannah Rashkin, Dror Marcus, Avinatan Hassidim, Yossi Matias, Idan Szpektor, Avi Caciularu

CoRR, 2024

TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools.

Avi Caciularu, Alon Jacovi, Eyal Ben-David, Sasha Goldshtein, Tal Schuster, Jonathan Herzig, Gal Elidan, Amir Globerson

CoRR, 2024

Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models.

Asma Ghandeharioun, Avi Caciularu, Adam Pearce, Lucas Dixon, Mor Geva

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance.

Omer Goldman, Avi Caciularu, Matan Eyal, Kris Cao, Idan Szpektor, Reut Tsarfaty

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

An entangled mixture of variational autoencoders approach to deep clustering.

Avi Caciularu, Jacob Goldberger

Neurocomputing, April, 2023

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, Shauli Ravfogel

CoRR, 2023

Dont Add, dont Miss: Effective Content Preserving Generation from Pre-Selected Text Spans.

Aviv Slobodkin, Avi Caciularu, Eran Hirsch, Ido Dagan

CoRR, 2023

Utilizing Perturbation of Atoms' Positions for Equivariant Pre-Training in 3D Molecular Analysis.

Tal Kiani, Avi Caciularu, Shani Zev, Dan Thomas Major, Jacob Goldberger

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

The Curious Case of Hallucinatory (Un)answerability: Finding Truths in the Hidden States of Over-Confident Large Language Models.

Aviv Slobodkin, Omer Goldman, Avi Caciularu, Ido Dagan, Shauli Ravfogel

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Don't Add, don't Miss: Effective Content Preserving Generation from Pre-Selected Text Spans.

Aviv Slobodkin, Avi Caciularu, Eran Hirsch, Ido Dagan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Comprehensive Evaluation of Tool-Assisted Generation Strategies.

Alon Jacovi, Avi Caciularu, Jonathan Herzig, Roee Aharoni, Bernd Bohnet, Mor Geva

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks.

Alon Jacovi, Avi Caciularu, Omer Goldman, Yoav Goldberg

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Optimizing Retrieval-augmented Reader Models via Token Elimination.

Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, Moshe Wasserblat

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting Sentence Union Generation as a Testbed for Text Consolidation.

Eran Hirsch, Valentina Pyatkin, Ruben Wolhandler, Avi Caciularu, Asi Shefer, Ido Dagan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering.

Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Interpreting BERT-based Text Similarity via Activation and Saliency Maps.

Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Proposition-Level Clustering for Multi-Document Summarization.

Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Long Context Question Answering via Supervised Contrastive Learning.

Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Metricbert: Text Representation Learning Via Self-Supervised Triplet Training.

Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Yoni Weill, Noam Koenigstein

Proceedings of the IEEE International Conference on Acoustics, 2022

QASem Parsing: Text-to-text Modeling of QA-based Semantics.

Ayal Klein, Eran Hirsch, Ron Eliav, Valentina Pyatkin, Avi Caciularu, Ido Dagan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space.

Mor Geva, Avi Caciularu, Kevin Ro Wang, Yoav Goldberg

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

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, Yoav Goldberg

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Cross-document Event Coreference Search: Task, Dataset and Modeling.

Alon Eirew, Avi Caciularu, Ido Dagan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

perm2vec: Attentive Graph Permutation Selection for Decoding of Error Correction Codes.

Avi Caciularu, Nir Raviv, Tomer Raviv, Jacob Goldberger, Yair Be'ery

IEEE J. Sel. Areas Commun., 2021

Utilizing Evidence Spans via Sequence-Level Contrastive Learning for Long-Context Question Answering.

Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan

CoRR, 2021

A Proposition-Level Clustering Approach for Multi-Document Summarization.

Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan

CoRR, 2021

On the Evolution of Word Order.

Idan Rejwan, Avi Caciularu

CoRR, 2021

Cross-Document Language Modeling.

Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan

CoRR, 2021

Denoising Word Embeddings by Averaging in a Shared Space.

Avi Caciularu, Ido Dagan, Jacob Goldberger

Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, 2021

Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates.

Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein

Proceedings of the IEEE International Conference on Data Mining, 2021

Cold Start Revisited: A Deep Hybrid Recommender with Cold-Warm Item Harmonization.

Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Yoni Weill, Noam Koenigstein

Proceedings of the IEEE International Conference on Acoustics, 2021

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, Ido Dagan

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

CDLM: Cross-Document Language Modeling.

Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Anchor-based Collaborative Filtering.

Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Noam Koenigstein

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps.

Oren Barkan, Edan Hauon, Avi Caciularu, Ori Katz, Itzik Malkiel, Omri Armstrong, Noam Koenigstein

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Representation Learning via Variational Bayesian Networks.

Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps.

Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference.

Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Unsupervised Linear and Nonlinear Channel Equalization and Decoding Using Variational Autoencoders.

Avi Caciularu, David Burshtein

IEEE Trans. Cogn. Commun. Netw., 2020

RecoBERT: A Catalog Language Model for Text-Based Recommendations.

Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein

CoRR, 2020

perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention.

Nir Raviv, Avi Caciularu, Tomer Raviv, Jacob Goldberger, Yair Be'ery

CoRR, 2020

Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering.

Oren Barkan, Yonatan Fuchs, Avi Caciularu, Noam Koenigstein

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Cold Item Recommendations via Hierarchical Item2vec.

Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Attentive Item2vec: Neural Attentive User Representations.

Oren Barkan, Avi Caciularu, Ori Katz, Noam Koenigstein

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Paraphrasing vs Coreferring: Two Sides of the Same Coin.

Yehudit Meged, Avi Caciularu, Vered Shwartz, Ido Dagan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Optimizing BERT for Unlabeled Text-Based Items Similarity.

Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Within-Between Lexical Relation Classification.

Oren Barkan, Avi Caciularu, Ido Dagan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Bayesian Hierarchical Words Representation Learning.

Oren Barkan, Idan Rejwan, Avi Caciularu, Noam Koenigstein

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding.

Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Blind Channel Equalization Using Variational Autoencoders.

Avi Caciularu, David Burshtein

Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

2017

Inducing Regular Grammars Using Recurrent Neural Networks.

Mor Cohen, Avi Caciularu, Idan Rejwan, Jonathan Berant

CoRR, 2017