Leilei Gan
16 papers · 2021–2026 · 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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🗺️ Taxonomy Completionist (49) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Topic Evolution
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
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Prolific Year · Productive
💎
Century Club · Bronze
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Keyword Collector
(83)
Venues
Top co-authors
Research topics
Artificial Intelligence
(13)
Core AI
(13)
Natural Language Processing
(9)
Machine Learning
(8)
Deep Learning
(7)
Applications
(7)
Learning Types · Deep Learning
(6)
Learning Types · Machine Learning
(6)
Computer Vision
(3)
Application Areas
(3)
Architectures
(2)
Core Methods
(2)
Generation · Computer Vision
(2)
Generation · Natural Language Processing
(2)
Models
(2)
Keywords
text classification
(3)
large language model
(3)
reinforcement learning
(3)
vision-language model
(2)
direct preference optimization
(2)
backdoor attack
(2)
legal judgment prediction
(2)
multimodal large language model
(2)
image generation
(2)
visual question answering
(2)
visual reasoning
(2)
parameter-efficient fine-tuning
(2)
hallucination mitigation
(2)
model evaluation
(1)
natural language generation
(1)
causal reasoning
(1)
text-to-image synthesis
(1)
model security
(1)
document understanding
(1)
logical reasoning
(1)
Papers
From Competition to Synergy: Unlocking Reinforcement Learning for Subject-Driven Image Generation
ACL 2026
From Recognition to Reasoning: Benchmarking and Enhancing MLLMs on Real-World Receipt Document Understanding
ACL 2026
REVEALER: Reinforcement-Guided Visual Reasoning for Element-Level Text-Image Alignment Evaluation
ACL 2026
VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning
ACL 2026
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
AAAI 2025
Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond
EMNLP 2025
Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering
COLING 2025
MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis
AAAI 2025
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts
ACL 2025
Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
NAACL 2024
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild
ACL 2024
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction
EMNLP 2023
Dependency Parsing as MRC-based Span-Span Prediction
ACL 2022
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples
EMNLP 2022
Triggerless Backdoor Attack for NLP Tasks with Clean Labels
NAACL 2022
Judgment Prediction via Injecting Legal Knowledge into Neural Networks
AAAI 2021