Kevin Du
10 papers · 2023–2026 · 5 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (23)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
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The Questioner
Conferences
EMNLP (4)
ACL (3)
AAAI (1)
CVPR (1)
ICLR (1)
Top co-authors
Keywords
language model
(4)
large language model
(3)
context integration
(2)
prior knowledge
(2)
prompt engineering
(1)
language modeling
(1)
deep reinforcement learning
(1)
model behavior
(1)
data augmentation
(1)
markov decision process
(1)
fisher information
(1)
fine-grained classification
(1)
mutual information
(1)
policy iteration
(1)
monte carlo tree search
(1)
distribution shift
(1)
gradient flow
(1)
bert model
(1)
synthetic datum
(1)
representation learning
(1)
Papers
It’s Not What You Say, It’s How You Say It: Evaluating LLM Responses to Expressions of Belief
ACL 2026
Controllable Context Sensitivity and the Knob Behind It
ICLR 2025
How Persuasive Is Your Context?
EMNLP 2025
Contrastive Decoding for Synthetic Data Generation in Low-Resource Language Modeling
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