Yuxuan Lu
11 papers · 2021–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (16) 🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (15) 🧭 Keyword Pioneer
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Hot Topic Early Bird
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The Questioner
Conferences
ACL (5)
EMNLP (2)
ICLR (1)
IJCAI (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(4)
human behavior simulation
(2)
active learning
(2)
online shopping
(2)
in-context learning
(1)
question answering
(1)
transfer learning
(1)
low-resource learning
(1)
game theory
(1)
synthetic data generation
(1)
knowledge graph
(1)
multi-turn interaction
(1)
explanation generation
(1)
automated evaluation
(1)
data drift
(1)
information flow
(1)
human annotation
(1)
ensemble system
(1)
natural language explanation
(1)
prompt engineering
(1)
Papers
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
LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific Tasks
ACL 2026
Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents
ACL 2026
Can LLM Agents Simulate Multi-Turn Human Behavior? Evidence from Real Online Customer Behavior Data
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
Calibrating “Cheap Signals” in Peer Review without a Prior
NIPS 2023
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture
EMNLP 2023
SURPRISE! and When to Schedule It.
IJCAI 2021