David Wingate

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

Achievements

+12 more ↓

🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

🗺️ Taxonomy Completionist (12) 🌍 Conference Polyglot (10) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (7) 🧬 Topic Evolution 🏆 Keyword Champion 🌱 Topic Pioneer 🗃️ Keyword Collector (77) 💎 Century Club (14) ❓ The Questioner 📈 Trend Setter 🚀 Conference Pioneer

Conferences

NIPS (5) ACL (1) AISTATS (1) CORL (1) EMNLP (1) ICLR (1) ICML (1) IJCAI (1) JMLR (1) NAACL (1)

Top co-authors

Nancy Fulda (4) Zachary Brown (2) Joshua Robinson (2) Taylor Sorensen (2) Christopher Rytting (2) Noah Goodman (2) Andreas Stuhlmueller (2) Nicholas Roy (1) Jeffrey Olmo (1) Daniel Ricks (1)

Keywords

reinforcement learning (4) word embedding (2) inductive bia (2) text generation (2) probabilistic programming (2) partially observable (2) language model (2) autoregressive transformer (1) symbolic reasoning (1) feature learning (1) knowledge extraction (1) natural language generation (1) prompt engineering (1) bayesian inference (1) sample efficiency (1) markov chain monte carlo (1) automatic differentiation (1) probabilistic modeling (1) maximum likelihood (1) partially observable domains (1)

Papers

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning NAACL 2025 Leveraging Large Language Models for Multiple Choice Question Answering ICLR 2023 Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models EMNLP 2022 An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels ACL 2022 Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning NIPS 2021 Towards Neural Programming Interfaces NIPS 2020 Harvesting Common-sense Navigational Knowledge for Robotics from Uncurated Text Corpora CORL 2017 What Can You Do with a Rock? Affordance Extraction via Word Embeddings IJCAI 2017 A Physics-Based Model Prior for Object-Oriented MDPs ICML 2014 Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation AISTATS 2011 Nonstandard Interpretations of Probabilistic Programs for Efficient Inference NIPS 2011 Nonparametric Bayesian Policy Priors for Reinforcement Learning NIPS 2010 Exponential Family Predictive Representations of State NIPS 2007 Prioritization Methods for Accelerating MDP Solvers JMLR 2005