Doug Downey

50 papers · 2005–2025 · 10 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (8) 🗺️ Taxonomy Completionist (81) 🌍 Conference Polyglot (10) 🏃 Academic Marathon (20) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧬 Topic Evolution 🏆 Keyword Champion 👥 Mega-Team (23) 🗃️ Keyword Collector (177) ⚡ Prolific Year (6) 📈 Trend Setter 💎 Century Club (50) 🔥 Unstoppable (9) ❓ The Questioner (3)

Conferences

EMNLP (18) ACL (14) NAACL (8) CONLL (2) EACL (2) NIPS (2) AAAI (1) AISTATS (1) ICLR (1) IJCNLP (1)

Top co-authors

Chandra Bhagavatula (9) Kyle Lo (8) Sergey Feldman (6) Tom Hope (6) Bailey Kuehl (5) Amanpreet Singh (5) David Demeter (5) Oren Etzioni (5) Iz Beltagy (5) Aakanksha Naik (5)

Keywords

language model (11) question answering (5) language modeling (3) information extraction (3) commonsense reasoning (3) word embedding (3) large language model (3) scientific literature (3) neural language model (3) scientific document (2) recurrent neural network (2) text classification (2) few-shot learning (2) retrieval-augmented generation (2) importance sampling (2) benchmark evaluation (2) probability distribution (2) commonsense knowledge (2) entity linking (2) transfer learning (2)

Papers

Ai2 Scholar QA: Organized Literature Synthesis with Attribution ACL 2025

Intent-aware Schema Generation and Refinement for Literature Review Tables EMNLP 2025

SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature EMNLP 2025

SciMON: Scientific Inspiration Machines Optimized for Novelty ACL 2024

ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews ACL 2024

CARE: Extracting Experimental Findings From Clinical Literature NAACL 2024

TOPICAL: TOPIC Pages AutomagicaLly NAACL 2024

Embedding Recycling for Language Models EACL 2023

PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents EMNLP 2023

CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies EMNLP 2023

SciRepEval: A Multi-Format Benchmark for Scientific Document Representations EMNLP 2023

S2abEL: A Dataset for Entity Linking from Scientific Tables EMNLP 2023

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation ACL 2023

Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents ACL 2023

Penguins Don’t Fly: Reasoning about Generics through Instantiations and Exceptions EACL 2023

Few-Shot Self-Rationalization with Natural Language Prompts NAACL 2022

Multi-LexSum: Real-world Summaries of Civil Rights Lawsuits at Multiple Granularities NIPS 2022

Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models EMNLP 2022

ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts EMNLP 2022

Don’t Say What You Don’t Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search EMNLP 2022

Who’s on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains CONLL 2021

“It doesn’t look good for a date”: Transforming Critiques into Preferences for Conversational Recommendation Systems EMNLP 2021

Who’s on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains EMNLP 2021

Just Add Functions: A Neural-Symbolic Language Model AAAI 2020

Abductive Commonsense Reasoning ICLR 2020

Stolen Probability: A Structural Weakness of Neural Language Models ACL 2020

SPECTER: Document-level Representation Learning using Citation-informed Transformers ACL 2020

Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks ACL 2020

Generative Data Augmentation for Commonsense Reasoning EMNLP 2020

Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models NAACL 2019

A new evaluation framework for topic modeling algorithms based on synthetic corpora AISTATS 2019

CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense NAACL 2019

Extracting Commonsense Properties from Embeddings with Limited Human Guidance ACL 2018

Construction of the Literature Graph in Semantic Scholar NAACL 2018

Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models EMNLP 2018

Sampling Informative Training Data for RNN Language Models ACL 2018

VecShare: A Framework for Sharing Word Representation Vectors EMNLP 2017

Efficient Methods for Inferring Large Sparse Topic Hierarchies IJCNLP 2015

Efficient Methods for Incorporating Knowledge into Topic Models EMNLP 2015

Efficient Methods for Inferring Large Sparse Topic Hierarchies ACL 2015

Adding High-Precision Links to Wikipedia EMNLP 2014

Scaling Semi-supervised Naive Bayes with Feature Marginals ACL 2013

Overcoming the Memory Bottleneck in Distributed Training of Latent Variable Models of Text NAACL 2013

Language Models as Representations for Weakly Supervised NLP Tasks CONLL 2011

Local and Global Algorithms for Disambiguation to Wikipedia ACL 2011

Improved Extraction Assessment through Better Language Models NAACL 2010

It’s a Contradiction – no, it’s not: A Case Study using Functional Relations EMNLP 2008

Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification NIPS 2008

Sparse Information Extraction: Unsupervised Language Models to the Rescue ACL 2007

KnowItNow: Fast, Scalable Information Extraction from the Web EMNLP 2005