Yuxi Xie
14 papers · 2020–2026 · 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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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
π
Renaissance Researcher
(6)
β
The Questioner
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(75)
Top co-authors
Research topics
Artificial Intelligence
(11)
Core AI Β· Artificial Intelligence
(11)
Deep Learning
(6)
Machine Learning
(6)
Natural Language Processing
(5)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(4)
Models
(4)
Computer Vision
(3)
Optimization & Theory
(3)
Resources & Methods
(3)
Applications
(2)
Core AI Β· Computer Vision
(2)
Generation
(2)
Computer Science
(1)
Keywords
large language model
(6)
multimodal learning
(3)
vision-language model
(3)
instruction tuning
(2)
chain-of-thought reasoning
(2)
transfer learning
(2)
question generation
(2)
model selection
(1)
few-shot learning
(1)
zero-shot learning
(1)
mathematical reasoning
(1)
preference learning
(1)
direct preference optimization
(1)
attention mechanism
(1)
visual question answering
(1)
visual perception
(1)
adversarial learning
(1)
prompt engineering
(1)
preference optimization
(1)
game theory
(1)
Papers
LEDOM: Reverse Language Model
ACL 2026
AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge
ACL 2025
SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement
ICLR 2025
Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron
ICLR 2025
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models
EMNLP 2024
InstructCoder: Instruction Tuning Large Language Models for Code Editing
ACL 2024
MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans?
EMNLP 2024
Prompt Optimization via Adversarial In-Context Learning
ACL 2024
V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization
EMNLP 2024
Automatic Model Selection with Large Language Models for Reasoning
EMNLP 2023
ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning
EMNLP 2023
Self-Evaluation Guided Beam Search for Reasoning
NeurIPS 2023
Exploring Question-Specific Rewards for Generating Deep Questions
COLING 2020
Semantic Graphs for Generating Deep Questions
ACL 2020