Yilun Zhou
17 papers · 2016–2026 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (39) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(2)
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(89)
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Century Club Β· Bronze
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Research topics
Artificial Intelligence
(16)
Core AI
(16)
Machine Learning
(10)
Natural Language Processing
(6)
Deep Learning
(5)
Learning Types Β· Machine Learning
(4)
Optimization & Theory Β· Machine Learning
(4)
Application Areas
(3)
Applications
(2)
Core Methods
(2)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Resources & Methods
(2)
Reinforcement Learning
(1)
Keywords
large language model
(5)
feature attribution
(3)
model interpretability
(3)
beam search
(2)
model evaluation
(2)
semantic parsing
(2)
explanation quality
(2)
judge model
(2)
language model
(2)
transfer learning
(1)
question answering
(1)
direct preference optimization
(1)
domain generalization
(1)
representation learning
(1)
mathematical reasoning
(1)
sequential decision making
(1)
self-attention mechanism
(1)
rationale extraction
(1)
interpretable machine learning
(1)
language model evaluation
(1)
Papers
GTA: Generating Long-horizon Tasks for Web Agents at Scale
ACL 2026
J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization
ACL 2026
All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens
EMNLP 2025
BingoGuard: LLM Content Moderation Tools with Risk Levels
ICLR 2025
Direct Judgement Preference Optimization
EMNLP 2025
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
ICML 2025
CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMsβ Mathematical Reasoning Capabilities
ACL 2024
Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)
AAAI 2023
Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques
ACL 2023
The Solvability of Interpretability Evaluation Metrics
EACL 2023
Do Feature Attribution Methods Correctly Attribute Features?
AAAI 2022
ExSum: From Local Explanations to Model Understanding
NAACL 2022
The Irrationality of Neural Rationale Models
NAACL 2022
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example
AAAI 2021
RoCUS: Robot Controller Understanding via Sampling
CoRL 2021
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms
AISTATS 2021
Representing and Learning Complex Object Interactions
RSS 2016