Siyuan Guo
11 papers · 2023–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (27) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 👑 Triple Crown
🌈
Renaissance Researcher
(5)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🗃️
Keyword Collector
(51)
Venues
Top co-authors
Research topics
Artificial Intelligence
(9)
Machine Learning
(9)
Core AI
(9)
Application Areas
(4)
Core Methods
(3)
Optimization & Theory
(3)
Deep Learning
(2)
Knowledge & Reasoning
(2)
Natural Language Processing
(2)
Applications · Natural Language Processing
(2)
Learning Types
(2)
Reasoning
(2)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Applications · Reinforcement Learning
(1)
Keywords
exchangeable data
(3)
large language model
(3)
causal inference
(3)
causal discovery
(3)
causal structure
(2)
domain generalization
(2)
question answering
(1)
mathematical reasoning
(1)
policy optimization
(1)
visual reinforcement learning
(1)
out-of-distribution generalization
(1)
citation analysis
(1)
kullback-leibler divergence
(1)
language model
(1)
code generation
(1)
case-based reasoning
(1)
probabilistic graphical model
(1)
conditional independence
(1)
saliency map
(1)
causal effect estimation
(1)
Papers
On the Emergence and Test-Time Use of Structural Information in Large Language Models
ACL 2026
Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning
ICLR 2025
CausalCite: A Causal Formulation of Paper Citations
ACL 2024
Do Finetti: On Causal Effects for Exchangeable Data
NeurIPS 2024
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning
ICML 2024
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
NeurIPS 2024
Out-of-Variable Generalisation for Discriminative Models
ICLR 2024
Pragmatic Fairness: Developing Policies with Outcome Disparity Control
CLeaR 2024
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
NeurIPS 2023
Learning Generalizable Agents via Saliency-guided Features Decorrelation
NeurIPS 2023
On the Interventional Kullback-Leibler Divergence
CLeaR 2023