Omer Levy
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Omer Levy's AcademicInfluence.com Rankings
Omer Levycomputer-science Degrees
Computer Science
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#7641
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Algorithms
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#280
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Computational Linguistics
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Database
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#4489
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Computer Science
Omer Levy's Degrees
- PhD Computer Science Tel Aviv University
- Masters Computer Science Tel Aviv University
- Bachelors Computer Science Tel Aviv University
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Why Is Omer Levy Influential?
(Suggest an Edit or Addition)Omer Levy's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (2019) (11685)
- BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension (2019) (4404)
- GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding (2018) (3649)
- Neural Word Embedding as Implicit Matrix Factorization (2014) (1731)
- word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method (2014) (1396)
- Improving Distributional Similarity with Lessons Learned from Word Embeddings (2015) (1271)
- SpanBERT: Improving Pre-training by Representing and Predicting Spans (2019) (1250)
- SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems (2019) (1152)
- What Does BERT Look at? An Analysis of BERT’s Attention (2019) (977)
- Dependency-Based Word Embeddings (2014) (878)
- Annotation Artifacts in Natural Language Inference Data (2018) (847)
- code2vec: learning distributed representations of code (2018) (762)
- Linguistic Regularities in Sparse and Explicit Word Representations (2014) (659)
- Are Sixteen Heads Really Better than One? (2019) (573)
- code2seq: Generating Sequences from Structured Representations of Code (2018) (479)
- Zero-Shot Relation Extraction via Reading Comprehension (2017) (403)
- Mask-Predict: Parallel Decoding of Conditional Masked Language Models (2019) (362)
- Generalization through Memorization: Nearest Neighbor Language Models (2019) (310)
- BERT for Coreference Resolution: Baselines and Analysis (2019) (245)
- Do Supervised Distributional Methods Really Learn Lexical Inference Relations? (2015) (225)
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2022) (218)
- A general path-based representation for predicting program properties (2018) (178)
- Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling (2018) (170)
- Emergent linguistic structure in artificial neural networks trained by self-supervision (2020) (161)
- Published as a conference paper at ICLR 2018 S IMULATING A CTION D YNAMICS WITH N EURAL P ROCESS N ETWORKS (2018) (156)
- Ultra-Fine Entity Typing (2018) (144)
- Blockwise Self-Attention for Long Document Understanding (2019) (137)
- A Simple Word Embedding Model for Lexical Substitution (2015) (109)
- Deep RNNs Encode Soft Hierarchical Syntax (2018) (99)
- Simulating Action Dynamics with Neural Process Networks (2017) (96)
- Transformer Feed-Forward Layers Are Key-Value Memories (2020) (92)
- Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation (2019) (81)
- Aligned Cross Entropy for Non-Autoregressive Machine Translation (2020) (80)
- Named Entity Disambiguation for Noisy Text (2017) (75)
- Shared computational principles for language processing in humans and deep language models (2022) (72)
- The Excitement Open Platform for Textual Inferences (2014) (71)
- Structural Language Models of Code (2019) (68)
- A Strong Baseline for Learning Cross-Lingual Word Embeddings from Sentence Alignments (2016) (64)
- Improving Transformer Models by Reordering their Sublayers (2019) (57)
- Few-Shot Question Answering by Pretraining Span Selection (2021) (56)
- Semi-Autoregressive Training Improves Mask-Predict Decoding (2020) (53)
- The Turking Test: Can Language Models Understand Instructions? (2020) (46)
- pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference (2018) (46)
- How to Train BERT with an Academic Budget (2021) (44)
- Focused Entailment Graphs for Open IE Propositions (2014) (44)
- Coreference Resolution without Span Representations (2021) (37)
- Recognizing Partial Textual Entailment (2013) (36)
- Constant-Time Machine Translation with Conditional Masked Language Models (2019) (34)
- Recurrent Additive Networks (2017) (33)
- Learning to Retrieve Passages without Supervision (2021) (32)
- SCROLLS: Standardized CompaRison Over Long Language Sequences (2022) (29)
- Annotating Relation Inference in Context via Question Answering (2016) (28)
- Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum (2018) (27)
- UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis (2013) (24)
- LSTMs Exploit Linguistic Attributes of Data (2018) (19)
- Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor (2022) (18)
- Structural Language Models for Any-Code Generation (2019) (15)
- Transformer Language Models without Positional Encodings Still Learn Positional Information (2022) (14)
- Simple Local Attentions Remain Competitive for Long-Context Tasks (2021) (12)
- Instruction Induction: From Few Examples to Natural Language Task Descriptions (2022) (11)
- Learning to Exploit Structured Resources for Lexical Inference (2015) (11)
- Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of Tokens (2021) (9)
- Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language (2021) (8)
- Neural Machine Translation without Embeddings (2020) (7)
- Teaching Machines to Learn by Metaphors (2012) (7)
- A Few More Examples May Be Worth Billions of Parameters (2021) (6)
- Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP (2017) (6)
- ParaShoot: A Hebrew Question Answering Dataset (2021) (6)
- What Do You Get When You Cross Beam Search with Nucleus Sampling? (2021) (5)
- Breaking Character: Are Subwords Good Enough for MRLs After All? (2022) (5)
- Scaling Laws for Generative Mixed-Modal Language Models (2023) (5)
- Can Latent Alignments Improve Autoregressive Machine Translation? (2021) (4)
- Reconsidering Cross-lingual Word Embeddings (2016) (4)
- Proposition Knowledge Graphs (2014) (3)
- Understanding large-scale software systems – structure and flows (2021) (3)
- Targeting the actin nucleation promoting factor WASp provides a therapeutic approach for hematopoietic malignancies (2021) (3)
- Modeling Extractive Sentence Intersection via Subtree Entailment (2016) (2)
- How Optimal is Greedy Decoding for Extractive Question Answering? (2021) (2)
- Causes and Cures for Interference in Multilingual Translation (2022) (2)
- Word Representation (2018) (2)
- LMentry: A Language Model Benchmark of Elementary Language Tasks (2022) (1)
- Correspondence between the layered structure of deep language models and temporal structure of natural language processing in the human brain (2023) (1)
- 625 Bispecific personalized aptamer for the treatment of solid tumors (2020) (0)
- Efficient transfer learning for NLP with ELECTRA (2021) (0)
- Vision Transformers with Mixed-Resolution Tokenization (2023) (0)
- Are Mutually Intelligible Languages Easier to Translate? (2022) (0)
- Translating Akkadian to English with neural machine translation (2023) (0)
- Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation (2023) (0)
- GLUE: A M ULTI -T ASK B ENCHMARK AND A NALYSIS P LATFORM FOR N ATURAL L ANGUAGE U NDERSTAND ING (2019) (0)
- Undivide and Conquer: On Selling a Divisible and Homogeneous Good (2014) (0)
- Internship: probing joint vision-and-language representations (2020) (0)
- X&Fuse: Fusing Visual Information in Text-to-Image Generation (2023) (0)
- Implementation, data and a trained model for the code2vec paper (2018) (0)
- A Simple Baseline for Beam Search Reranking (2022) (0)
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