Alexander Rush

69 papers · 2012–2024 · 8 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (6) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🏃 Academic Marathon (12) 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐺 Lone Wolf (3) 🏠 Conference Loyalist (30) 🤝 Dynamic Duo (11) 👥 Mega-Team (32) 🔬 Deep Specialist (12) 🧬 Topic Evolution 🏆 Keyword Champion (2) ⚡ Prolific Year (11) ❓ The Questioner 💎 Century Club (69) 🔥 Unstoppable (8) 📈 Trend Setter 🗃️ Keyword Collector (283)

Conferences

EMNLP (30) ACL (13) NIPS (8) ICML (6) NAACL (6) IJCNLP (3) CONLL (2) EACL (1)

Top co-authors

Yoon Kim (11) Yuntian Deng (11) Justin Chiu (9) Victor Sanh (6) Sam Wiseman (5) Claire Cardie (5) Stuart Shieber (4) Joe Davison (4) Michael Collins (4) Demi Guo (4)

Research topics

Resources & Methods (1) Privacy (1)

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

Don’t 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