Yilun Zhou
17 papers · 2016–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (9) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🐣 Hot Topic Early Bird
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Academic Marathon
(9)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🏆
Keyword Champion
(2)
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Keyword Collector
(72)
💎
Century Club
(15)
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Unstoppable
(5)
📈
Trend Setter
❓
The Questioner
Conferences
ACL (4)
AAAI (3)
EMNLP (2)
NAACL (2)
AISTATS (1)
CORL (1)
EACL (1)
ICLR (1)
ICML (1)
RSS (1)
Top co-authors
Keywords
large language model
(4)
feature attribution
(3)
model interpretability
(3)
semantic parsing
(2)
explanation quality
(2)
model evaluation
(2)
language model
(2)
transfer learning
(1)
domain generalization
(1)
representation learning
(1)
question answering
(1)
direct preference optimization
(1)
mathematical reasoning
(1)
language modeling
(1)
self-attention mechanism
(1)
trajectory prediction
(1)
interpretable machine learning
(1)
sequential decision making
(1)
rationale extraction
(1)
language model evaluation
(1)
Papers
J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization
ACL 2026
GTA: Generating Long-horizon Tasks for Web Agents at Scale
ACL 2026
Direct Judgement Preference Optimization
EMNLP 2025
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
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 LLMs’ 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
The Irrationality of Neural Rationale Models
NAACL 2022
Do Feature Attribution Methods Correctly Attribute Features?
AAAI 2022
ExSum: From Local Explanations to Model Understanding
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