conftrace_

Alexander Rush

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

Achievements

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+16 more ↓ 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🌍 Conference Polyglot (8)
πŸƒ Academic Marathon (12) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐺 Lone Wolf (3) 🏠 Conference Loyalist (30) 🀝 Dynamic Duo (11) πŸ‘₯ Mega-Team (32) πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ† Keyword Champion (2) ⚑ Prolific Year (11) ❓ The Questioner πŸ’Ž Century Club (69) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (283)

Conferences

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

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