Justin Wong
5 papers · 2020–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (3) π Renaissance Researcher (7)
πΊοΈ
Taxonomy Completionist
(13)
π£
Hot Topic Early Bird
Conferences
NIPS (2)
ECCV (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
reinforcement learning
(1)
image generation
(1)
code generation
(1)
instruction following
(1)
language model alignment
(1)
program verification
(1)
logic networks
(1)
formal verification
(1)
pareto efficiency
(1)
diffusion model
(1)
language model
(1)
supervised fine-tuning
(1)
reward-free learning
(1)
adapter selection
(1)
prompt matching
(1)
model composition
(1)
loop invariant
(1)
hindsight relabeling
(1)
low-resource programming language
(1)
compiler repair
(1)
Papers
Stylus: Automatic Adapter Selection for Diffusion Models
NIPS 2024
Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages
NIPS 2024
The Wisdom of Hindsight Makes Language Models Better Instruction Followers
ICML 2023
Context-Aware Streaming Perception in Dynamic Environments
ECCV 2022
CLN2INV: Learning Loop Invariants with Continuous Logic Networks
ICLR 2020