Avi Caciularu

Orcid: 0000-0003-0573-1075

According to our database1, Avi Caciularu authored at least 49 papers between 2017 and 2024.

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Bibliography

2024
Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance.
CoRR, 2024

Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models.
CoRR, 2024

2023
An entangled mixture of variational autoencoders approach to deep clustering.
Neurocomputing, April, 2023

The Curious Case of Hallucinatory Unanswerablity: Finding Truths in the Hidden States of Over-Confident Large Language Models.
CoRR, 2023

Dont Add, dont Miss: Effective Content Preserving Generation from Pre-Selected Text Spans.
CoRR, 2023

Utilizing Perturbation of Atoms' Positions for Equivariant Pre-Training in 3D Molecular Analysis.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Comprehensive Evaluation of Tool-Assisted Generation Strategies.
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Optimizing Retrieval-augmented Reader Models via Token Elimination.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting Sentence Union Generation as a Testbed for Text Consolidation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering.
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.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Proposition-Level Clustering for Multi-Document Summarization.
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.
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.
Proceedings of the IEEE International Conference on Acoustics, 2022

QASem Parsing: Text-to-text Modeling of QA-based Semantics.
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.
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.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Cross-document Event Coreference Search: Task, Dataset and Modeling.
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.
IEEE J. Sel. Areas Commun., 2021

Utilizing Evidence Spans via Sequence-Level Contrastive Learning for Long-Context Question Answering.
CoRR, 2021

A Proposition-Level Clustering Approach for Multi-Document Summarization.
CoRR, 2021

On the Evolution of Word Order.
CoRR, 2021

Cross-Document Language Modeling.
CoRR, 2021

Denoising Word Embeddings by Averaging in a Shared Space.
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.
Proceedings of the IEEE International Conference on Data Mining, 2021

Cold Start Revisited: A Deep Hybrid Recommender with Cold-Warm Item Harmonization.
Proceedings of the IEEE International Conference on Acoustics, 2021

iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

CDLM: Cross-Document Language Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Anchor-based Collaborative Filtering.
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.
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.
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.
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.
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.
IEEE Trans. Cogn. Commun. Netw., 2020

RecoBERT: A Catalog Language Model for Text-Based Recommendations.
CoRR, 2020

perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention.
CoRR, 2020

Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Cold Item Recommendations via Hierarchical Item2vec.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Attentive Item2vec: Neural Attentive User Representations.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Paraphrasing vs Coreferring: Two Sides of the Same Coin.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Optimizing BERT for Unlabeled Text-Based Items Similarity.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Within-Between Lexical Relation Classification.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Bayesian Hierarchical Words Representation Learning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018
Blind Channel Equalization Using Variational Autoencoders.
Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

2017
Inducing Regular Grammars Using Recurrent Neural Networks.
CoRR, 2017


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