Shijin Wang
63 papers · 2016–2026 · 11 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 (105) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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(12)
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Grand Slam
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Dynamic Duo
(22)
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Keyword Trendsetter Combo
(4)
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Topic Evolution
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Keyword Champion
(2)
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Keyword Pioneer
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Prolific Year Β· Prolific
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Trend Setter
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Unstoppable Β· Silver
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The Questioner
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Conference Pioneer
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Renaissance Researcher
(8)
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Century Club Β· Silver
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Keyword Collector
(283)
Venues
Top co-authors
Research topics
Natural Language Processing
(42)
Machine Learning
(33)
Artificial Intelligence
(32)
Core AI
(28)
Applications
(27)
Deep Learning
(24)
Resources & Methods
(19)
Learning Types Β· Machine Learning
(18)
Core Methods
(14)
Learning Types Β· Deep Learning
(13)
Generation
(11)
Application Areas
(9)
Techniques
(8)
Interdisciplinary
(7)
Architectures
(6)
Keywords
large language model
(12)
machine reading comprehension
(7)
question answering
(6)
text classification
(5)
neural network
(5)
knowledge distillation
(5)
cognitive diagnosis
(5)
reading comprehension
(5)
contrastive learning
(5)
attention mechanism
(4)
language model
(4)
representation learning
(3)
knowledge concept
(3)
knowledge tracing
(3)
natural language inference
(3)
pre-trained language model
(3)
text representation
(2)
benchmark evaluation
(2)
transfer learning
(2)
word alignment
(2)
Papers
BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation
AAAI 2026
CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling
AAAI 2026
CPT-Agent: A Cognitive Process Theory-driven Framework for Student Simulation in Writing Development
ACL 2026
From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs
AAAI 2026
Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models
ACL 2026
Re3: Relevance & Recency Retrieval for Mitigating Temporal Hallucination
ACL 2026
am-ELO: A Stable Framework for Arena-based LLM Evaluation
ICML 2025
Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter
EMNLP 2025
Chart2Code53: A Large-Scale Diverse and Complex Dataset for Enhancing Chart-to-Code Generation
EMNLP 2025
CogMath: Assessing LLMsβ Authentic Mathematical Ability from a Human Cognitive Perspective
ICML 2025
CursorCore: Assist Programming through Aligning Anything
ICML 2025
Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis
EMNLP 2025
Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study
ICLR 2025
Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving
ICML 2025
From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation
ACL 2025
MMATH: A Multilingual Benchmark for Mathematical Reasoning
EMNLP 2025
Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model
AAAI 2025
Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering
ACL 2025
Position: AI Evaluation Should Learn from How We Test Humans
ICML 2025
Computerized Adaptive Testing via Collaborative Ranking
NeurIPS 2024
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework
AAAI 2024
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models
NeurIPS 2024
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process
IJCAI 2024
Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach
EMNLP 2024
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models
NeurIPS 2024
SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model
EMNLP 2024
Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation
NeurIPS 2024
A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations
ACL 2023
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning
AAAI 2023
Chinese Metaphorical Relation Extraction
EMNLP 2023
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
NeurIPS 2023
Exploiting Non-Interactive Exercises in Cognitive Diagnosis
IJCAI 2023
Gradient-based Intra-attention Pruning on Pre-trained Language Models
ACL 2023
IDOL: Indicator-oriented Logic Pre-training for Logical Reasoning
ACL 2023
Sentence Ordering with a Coherence Verifier
ACL 2023
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training
AAAI 2023
Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network
ACL 2022
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings
ACL 2021
Benchmarking Robustness of Machine Reading Comprehension Models
ACL 2021
Bilingual Alignment Pre-Training for Zero-Shot Cross-Lingual Transfer
EMNLP 2021
Dynamic Connected Networks for Chinese Spelling Check
ACL 2021
HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem
AAAI 2021
IFlyEA: A Chinese Essay Assessment System with Automated Rating, Review Generation, and Recommendation
ACL 2021
A Sentence Cloze Dataset for Chinese Machine Reading Comprehension
COLING 2020
CharBERT: Character-aware Pre-trained Language Model
COLING 2020
Combining ResNet and Transformer for Chinese Grammatical Error Diagnosis
AACL 2020
Conversational Word Embedding for Retrieval-Based Dialog System
ACL 2020
Discriminative Sentence Modeling for Story Ending Prediction
AAAI 2020
Is Graph Structure Necessary for Multi-hop Question Answering?
EMNLP 2020
Neural Cognitive Diagnosis for Intelligent Education Systems
AAAI 2020
Revisiting Pre-Trained Models for Chinese Natural Language Processing
EMNLP 2020
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing
ACL 2020
Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimerβs Disease Detection
COLING 2020
A Span-Extraction Dataset for Chinese Machine Reading Comprehension
EMNLP 2019
Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions
AAAI 2019
Cross-Lingual Machine Reading Comprehension
EMNLP 2019
IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis
EMNLP 2019
TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
CoNLL 2019
Chinese Grammatical Error Diagnosis using Statistical and Prior Knowledge driven Features with Probabilistic Ensemble Enhancement
ACL 2018
Attention-over-Attention Neural Networks for Reading Comprehension
ACL 2017
Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution
ACL 2017
Consensus Attention-based Neural Networks for Chinese Reading Comprehension
COLING 2016
LSTM Neural Reordering Feature for Statistical Machine Translation
NAACL 2016