Kevin Du
10 papers · 2023–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird 🏆 Keyword Champion (3)
❓
The Questioner
💎
Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(9)
Core AI
(9)
Machine Learning
(6)
Deep Learning
(5)
Core Methods
(4)
Natural Language Processing
(3)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Resources & Methods
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications · Reinforcement Learning
(1)
Applications · Computer Vision
(1)
Architectures
(1)
Keywords
language model
(4)
prior knowledge
(3)
large language model
(3)
context integration
(2)
context sensitivity
(2)
representation learning
(2)
language modeling
(1)
prompt engineering
(1)
deep reinforcement learning
(1)
markov decision process
(1)
fisher information
(1)
model behavior
(1)
mutual information
(1)
policy iteration
(1)
data augmentation
(1)
gradient flow
(1)
fine-grained classification
(1)
monte carlo tree search
(1)
synthetic data
(1)
distribution shift
(1)
Papers
It’s Not What You Say, It’s How You Say It: Evaluating LLM Responses to Expressions of Belief
ACL 2026
Contrastive Decoding for Synthetic Data Generation in Low-Resource Language Modeling
EMNLP 2025
Controllable Context Sensitivity and the Knob Behind It
ICLR 2025
How Persuasive Is Your Context?
EMNLP 2025
Taxonomy-Aware Evaluation of Vision-Language Models
CVPR 2025
Activation Scaling for Steering and Interpreting Language Models
EMNLP 2024
Context versus Prior Knowledge in Language Models
ACL 2024
Efficiently Computing Susceptibility to Context in Language Models
EMNLP 2024
AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract)
AAAI 2023
Generalizing Backpropagation for Gradient-Based Interpretability
ACL 2023