Yewen Pu
19 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
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Keywords
program synthesis
(5)
code generation
(3)
imitation learning
(3)
natural language
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vision-language model
(2)
instruction following
(2)
reinforcement learning
(2)
large language model
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gradient-based optimization
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sequence labeling
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neural network compression
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trajectory optimization
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sequence tagging
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natural language understanding
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policy learning
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sequential monte carlo
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instruction tuning
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data augmentation
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model predictive control
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task generalization
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Papers
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
AAAI 2025
Combining Induction and Transduction for Abstract Reasoning
ICLR 2025
mrCAD: Multimodal Communication to Refine Computer-aided Designs
EMNLP 2025
Amortizing Pragmatic Program Synthesis with Rankings
ICML 2024
CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketches
ECCV 2024
Generating Pragmatic Examples to Train Neural Program Synthesizers
ICLR 2024
Hypothesis Search: Inductive Reasoning with Language Models
ICLR 2024
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics
NIPS 2023
ANPL: Towards Natural Programming with Interactive Decomposition
NIPS 2023
Communicating Natural Programs to Humans and Machines
NIPS 2022
Text Editing as Imitation Game
EMNLP 2022
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
NIPS 2021
Representing Partial Programs with Blended Abstract Semantics
ICLR 2021
Neurosymbolic Transformers for Multi-Agent Communication
NIPS 2020
Program Synthesis with Pragmatic Communication
NIPS 2020
Write, Execute, Assess: Program Synthesis with a REPL
NIPS 2019
Compiler Auto-Vectorization with Imitation Learning
NIPS 2019
Verifiable Reinforcement Learning via Policy Extraction
NIPS 2018
Selecting Representative Examples for Program Synthesis
ICML 2018