Kevin Liu
7 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad
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The Questioner
(2)
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Core AI · Artificial Intelligence
(5)
Deep Learning
(3)
Core Methods
(3)
Learning Types
(3)
Natural Language Processing
(2)
Learning Paradigms
(2)
Models
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Bayesian & Probabilistic
(1)
Cognitive Science
(1)
Core AI · Computer Vision
(1)
Keywords
benchmark evaluation
(2)
contrastive learning
(1)
zero-shot learning
(1)
cognitive modeling
(1)
visual reasoning
(1)
regression analysis
(1)
ensemble method
(1)
inductive bia
(1)
language model
(1)
energy-based model
(1)
vision-language model
(1)
world model
(1)
linear model
(1)
ai agent
(1)
word embedding
(1)
tree-based model
(1)
neuro-symbolic architecture
(1)
code decompilation
(1)
internal representation
(1)
inference time
(1)
Papers
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation
ACL 2025
MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
ICLR 2025
Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning
ICLR 2025
Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness?
EMNLP 2023
Model-agnostic Measure of Generalization Difficulty
ICML 2023
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time
NeurIPS 2022
Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings
SemEval 2021