Alexander Rush
69 papers · 2012–2024 · 8 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π Conference Polyglot (8)
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Academic Marathon
(12)
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
πΊ
Lone Wolf
(3)
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Conference Loyalist
(30)
π€
Dynamic Duo
(11)
π₯
Mega-Team
(32)
π¬
Deep Specialist
(12)
π§¬
Topic Evolution
π
Keyword Champion
(2)
β‘
Prolific Year
(11)
β
The Questioner
π
Century Club
(69)
π₯
Unstoppable
(8)
π
Trend Setter
ποΈ
Keyword Collector
(283)
Conferences
EMNLP (30)
ACL (13)
NIPS (8)
ICML (6)
NAACL (6)
IJCNLP (3)
CONLL (2)
EACL (1)
Top co-authors
Research topics
Keywords
language model
(9)
text generation
(7)
machine translation
(6)
language modeling
(5)
representation learning
(5)
variational autoencoder
(4)
large language model
(4)
neural network
(4)
unsupervised learning
(4)
variational inference
(3)
model compression
(3)
neural language model
(3)
prompt engineering
(3)
pretrained language model
(3)
attention mechanism
(3)
model pruning
(3)
commonsense knowledge
(2)
semantic parsing
(2)
named entity recognition
(2)
transformer architecture
(2)
Papers
Predicting Text Preference Via Structured Comparative Reasoning
ACL 2024
Entity Disambiguation via Fusion Entity Decoding
NAACL 2024
Simple and Effective Masked Diffusion Language Models
NIPS 2024
Symbolic Planning and Code Generation for Grounded Dialogue
EMNLP 2023
Tree Prompting: Efficient Task Adaptation without Fine-Tuning
EMNLP 2023
Pretraining Without Attention
EMNLP 2023
Hop, Union, Generate: Explainable Multi-hop Reasoning without Rationale Supervision
EMNLP 2023
Text Embeddings Reveal (Almost) As Much As Text
EMNLP 2023
Scaling Data-Constrained Language Models
NIPS 2023
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
NIPS 2023
Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations
ACL 2023
Explaining Data Patterns in Natural Language with Language Models
EMNLP 2023
MiniChain: A Small Library for Coding with Large Language Models
EMNLP 2023
Unsupervised Text Deidentification
EMNLP 2022
Model Criticism for Long-Form Text Generation
EMNLP 2022
Sequence-to-Lattice Models for Fast Translation
EMNLP 2021
How many data points is a prompt worth?
NAACL 2021
Parameter-Efficient Transfer Learning with Diff Pruning
ACL 2021
GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction
EACL 2021
Datasets: A Community Library for Natural Language Processing
EMNLP 2021
Template Filling with Generative Transformers
NAACL 2021
Low-Complexity Probing via Finding Subnetworks
NAACL 2021
Rationales for Sequential Predictions
EMNLP 2021
Parameter-Efficient Transfer Learning with Diff Pruning
IJCNLP 2021
Block Pruning For Faster Transformers
EMNLP 2021
Low-Rank Constraints for Fast Inference in Structured Models
NIPS 2021
Scaling Hidden Markov Language Models
EMNLP 2020
Sequence-Level Mixed Sample Data Augmentation
EMNLP 2020
Transformers: State-of-the-Art Natural Language Processing
EMNLP 2020
Improving Event Duration Prediction via Time-aware Pre-training
EMNLP 2020
Cascaded Text Generation with Markov Transformers
NIPS 2020
Latent Template Induction with Gumbel-CRFs
NIPS 2020
Movement Pruning: Adaptive Sparsity by Fine-Tuning
NIPS 2020
What is Learned in Visually Grounded Neural Syntax Acquisition
ACL 2020
Posterior Control of Blackbox Generation
ACL 2020
Torch-Struct: Deep Structured Prediction Library
ACL 2020
Adversarial Semantic Collisions
EMNLP 2020
Commonsense Knowledge Mining from Pretrained Models
EMNLP 2019
Donβt Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference
ACL 2019
Compound Probabilistic Context-Free Grammars for Grammar Induction
ACL 2019
Simple Unsupervised Summarization by Contextual Matching
ACL 2019
GLTR: Statistical Detection and Visualization of Generated Text
ACL 2019
Neural Linguistic Steganography
EMNLP 2019
Tensor Variable Elimination for Plated Factor Graphs
ICML 2019
Latent Normalizing Flows for Discrete Sequences
ICML 2019
Commonsense Knowledge Mining from Pretrained Models
IJCNLP 2019
Neural Linguistic Steganography
IJCNLP 2019
Unsupervised Recurrent Neural Network Grammars
NAACL 2019
Entity Tracking Improves Cloze-style Reading Comprehension
EMNLP 2018
Training for Diversity in Image Paragraph Captioning
EMNLP 2018
Weightless: Lossy weight encoding for deep neural network compression
ICML 2018
Adversarially Regularized Autoencoders
ICML 2018
The Annotated Transformer
ACL 2018
OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU
ACL 2018
Latent Alignment and Variational Attention
NIPS 2018
Debugging Sequence-to-Sequence Models with Seq2Seq-Vis
EMNLP 2018
Deep Latent Variable Models of Natural Language
EMNLP 2018
Bottom-Up Abstractive Summarization
EMNLP 2018
Learning Neural Templates for Text Generation
EMNLP 2018
Semi-Amortized Variational Autoencoders
ICML 2018
Adapting Sequence Models for Sentence Correction
EMNLP 2017
Challenges in Data-to-Document Generation
EMNLP 2017
OpenNMT: Open-Source Toolkit for Neural Machine Translation
ACL 2017
A Fast Variational Approach for Learning Markov Random Field Language Models
ICML 2015
Spectral Learning of Refinement HMMs
CONLL 2013
Optimal Beam Search for Machine Translation
EMNLP 2013
Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints
EMNLP 2012
Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints
CONLL 2012
Vine Pruning for Efficient Multi-Pass Dependency Parsing
NAACL 2012