Alexander M Rush
14 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (34) 🌍 Conference Polyglot · Silver 👥 Mega-Team · Squad 💎 Century Club · Bronze
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Keyword Collector
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Unstoppable · Bronze
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The Questioner
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Prolific Year · Productive
Venues
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Research topics
Artificial Intelligence
(9)
Core AI
(9)
Deep Learning
(6)
Machine Learning
(6)
Natural Language Processing
(4)
Learning Types · Deep Learning
(3)
Models
(3)
Optimization & Theory
(3)
Application Areas
(2)
Generation · Natural Language Processing
(2)
Learning Types · Machine Learning
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Applications
(1)
Generation · Computer Vision
(1)
Keywords
code generation
(3)
language model
(2)
large language model
(2)
benchmark evaluation
(1)
question answering
(1)
chain-of-thought reasoning
(1)
image generation
(1)
llm evaluation
(1)
out-of-distribution generalization
(1)
distribution inference
(1)
robust learning
(1)
mdp
(1)
annotator reliability
(1)
diffusion model
(1)
denoising autoencoder
(1)
multi-task learning
(1)
downstream task
(1)
zero-shot generalization
(1)
controllable generation
(1)
contrastive learning
(1)
Papers
Challenges in Trustworthy Human Evaluation of Chatbots
NAACL 2025
Commit0: Library Generation from Scratch
ICLR 2025
Compute-Constrained Data Selection
ICLR 2025
Contextual Document Embeddings
ICLR 2025
Critical Thinking: Which Kinds of Complexity Govern Optimal Reasoning Length?
IJCNLP 2025
Great Memory, Shallow Reasoning: Limits of kNN-LMs
NAACL 2025
Multi-Turn Code Generation Through Single-Step Rewards
ICML 2025
Simple Guidance Mechanisms for Discrete Diffusion Models
ICLR 2025
Guess & Sketch: Language Model Guided Transpilation
ICLR 2024
I Could’ve Asked That: Reformulating Unanswerable Questions
EMNLP 2024
Language Model Inversion
ICLR 2024
Markup-to-Image Diffusion Models with Scheduled Sampling
ICLR 2023
Multitask Prompted Training Enables Zero-Shot Task Generalization
ICLR 2022
Learning from others' mistakes: Avoiding dataset biases without modeling them
ICLR 2021