Yixing Fan
20 papers · 2018–2026 · 8 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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πΊοΈ Taxonomy Completionist (54) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(20)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Renaissance Researcher
(7)
ποΈ
Keyword Collector
(120)
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(12)
Natural Language Processing
(12)
Core AI
(12)
Applications Β· Natural Language Processing
(9)
Deep Learning
(8)
Core Methods
(7)
Application Areas
(5)
Learning Types Β· Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Architectures
(4)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Applications Β· Data Science & Analytics
(2)
Generation
(2)
Keywords
large language model
(3)
information retrieval
(2)
entity disambiguation
(2)
knowledge base
(2)
attention mechanism
(2)
zero-shot retrieval
(2)
retrieval-augmented generation
(2)
structure learning
(1)
information bottleneck
(1)
adversarial learning
(1)
fact verification
(1)
knowledge distillation
(1)
in-context learning
(1)
relation extraction
(1)
direct preference optimization
(1)
sentiment analysis
(1)
named entity recognition
(1)
response generation
(1)
embedding learning
(1)
entity linking
(1)
Papers
Compete to Complete: Co-opetition Adversarial Learning for Retrieval-Augmented Generation
ACL 2026
Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking Models
ACL 2026
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models
AAAI 2025
MDPO: Customized Direct Preference Optimization with a Metric-based Sampler for Question and Answer Generation
COLING 2025
QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory
EMNLP 2025
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval
ACL 2024
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework
EMNLP 2024
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
EMNLP 2024
RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts
EMNLP 2024
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification
EMNLP 2023
Prompt Tuning with Contradictory Intentions for Sarcasm Recognition
EACL 2023
A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty
CVPR 2022
Euphemism Detection by Transformers and Relational Graph Attention Network
EMNLP 2022
MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities
IJCAI 2022
Visual Named Entity Linking: A New Dataset and A Baseline
EMNLP 2022
Learning to Truncate Ranked Lists for Information Retrieval
AAAI 2021
Bidirectional Dependency-Guided Attention for Relation Extraction
ACML 2020
Structure Learning for Headline Generation
AAAI 2020
An Adaptive Framework for Conversational Question Answering
AAAI 2019
Learning to Control the Specificity in Neural Response Generation
ACL 2018