Jiayu Liu
14 papers · 2022–2026 · 7 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 · Silver 🗺️ Taxonomy Completionist (29) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 💎 Century Club · Bronze
🗃️
Keyword Collector
(92)
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
❓
The Questioner
⚡
Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(12)
Core AI
(12)
Machine Learning
(8)
Learning Types
(5)
Natural Language Processing
(3)
Knowledge & Reasoning
(2)
Application Areas
(2)
Core Methods
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Computer Vision
(1)
Deep Learning
(1)
Interdisciplinary
(1)
Applications
(1)
Domain-Specific
(1)
Keywords
large language model
(7)
natural language inference
(2)
distribution shift
(2)
question answering
(2)
domain adaptation
(2)
multi-agent system
(2)
mathematical reasoning
(1)
dialogue generation
(1)
symbolic reasoning
(1)
question decomposition
(1)
claim verification
(1)
uncertainty quantification
(1)
information retrieval
(1)
geometry problem solving
(1)
covariate shift
(1)
in-context learning
(1)
formal verification
(1)
risk minimization
(1)
regularized risk minimization
(1)
out-of-distribution generalization
(1)
Papers
CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents
ACL 2026
DIXITWORLD: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit Gameplay
ACL 2026
Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning Models
ACL 2026
Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning
AAAI 2025
CogMath: Assessing LLMs’ Authentic Mathematical Ability from a Human Cognitive Perspective
ICML 2025
Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models’ Uncertainty?
ACL 2025
What Makes In-context Learning Effective for Mathematical Reasoning
ICML 2025
Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle
NeurIPS 2024
GProofT: A Multi-dimension Multi-round Fact Checking Framework Based on Claim Fact Extraction
EMNLP 2024
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process
IJCAI 2024
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization
JMLR 2024
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models
NeurIPS 2024
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning
AAAI 2023
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing
ICML 2022