Yuxuan Lu
12 papers · 2021–2026 · 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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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (27)
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(56)
💎
Century Club · Bronze
❓
The Questioner
(2)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(10)
Core AI
(9)
Machine Learning
(6)
Natural Language Processing
(3)
Learning Paradigms
(3)
Optimization & Theory
(3)
Applications
(2)
Learning Types · Machine Learning
(2)
Resources & Methods
(2)
Deep Learning
(1)
Interdisciplinary
(1)
Application Areas
(1)
Core Methods
(1)
Education
(1)
Learning Types · Deep Learning
(1)
Keywords
large language model
(5)
human behavior simulation
(2)
active learning
(2)
online shopping
(2)
peer review
(2)
question answering
(1)
in-context learning
(1)
transfer learning
(1)
low-resource learning
(1)
explanation generation
(1)
synthetic data generation
(1)
mutual information
(1)
knowledge graph
(1)
generative model
(1)
game theory
(1)
red teaming
(1)
evaluation metric
(1)
content moderation
(1)
multi-turn dialogue
(1)
multi-turn interaction
(1)
Papers
Can LLM Agents Simulate Multi-Turn Human Behavior? Evidence from Real Online Customer Behavior Data
ACL 2026
LLaVAShield: Safeguarding Multimodal Multi-Turn Dialogues in Vision-Language Models
CVPR 2026
LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific Tasks
ACL 2026
Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation
ACL 2026
OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation
ACL 2026
Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents
ACL 2026
Benchmarking LLMs' Judgments with No Gold Standard
ICLR 2025
More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling
NAACL 2024
StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children’s Story-Based Learning
EMNLP 2024
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture
EMNLP 2023
Calibrating “Cheap Signals” in Peer Review without a Prior
NeurIPS 2023
SURPRISE! and When to Schedule It.
IJCAI 2021