Robin Chan
7 papers · 2021–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (4) π Renaissance Researcher (6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(25)
β‘
Prolific Year
(5)
β
The Questioner
(3)
Conferences
ACL (4)
EMNLP (1)
ICCV (1)
WACV (1)
Top co-authors
Keywords
recurrent neural network
(3)
language model
(3)
out-of-distribution detection
(2)
regular language
(2)
code generation
(1)
autonomous driving
(1)
natural language understanding
(1)
entropy maximization
(1)
empirical evaluation
(1)
inductive bia
(1)
spurious correlation
(1)
counterfactual reasoning
(1)
retrieval-augmented generation
(1)
constrained decoding
(1)
adversarial testing
(1)
model diagnosis
(1)
finite-state automaton
(1)
multi-modal foundation model
(1)
object retrieval
(1)
road safety
(1)
Papers
On Efficiently Representing Regular Languages as RNNs
ACL 2024
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
ACL 2024
Computational Expressivity of Neural Language Models
ACL 2024
Adapting LLMs for Structured Natural Language API Integration
EMNLP 2024
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles From Driving Scenes
WACV 2024
Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals
ACL 2023
Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation
ICCV 2021