Sirui Wang
28 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(22)
Natural Language Processing
(18)
Artificial Intelligence
(17)
Core AI
(17)
Deep Learning
(15)
Learning Types Β· Machine Learning
(12)
Applications
(11)
Learning Types Β· Deep Learning
(10)
Resources & Methods
(9)
Optimization & Theory
(8)
Application Areas
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Core Methods
(5)
Architectures
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Generation
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Computer Vision
(3)
Keywords
large language model
(6)
language model
(4)
contrastive learning
(3)
data selection
(3)
pre-trained language model
(3)
named entity recognition
(2)
retrieval-augmented generation
(2)
adversarial robustness
(2)
model compression
(2)
data quality
(2)
semantic matching
(2)
knowledge distillation
(2)
question answering
(2)
multimodal learning
(2)
knowledge graph
(2)
optimal transport
(1)
symbolic reasoning
(1)
few-shot learning
(1)
uncertainty quantification
(1)
curriculum learning
(1)
Papers
CaTFormer: Causal Temporal Transformer with Dynamic Contextual Fusion for Driving Intention Prediction
AAAI 2026
GEWDiff: Geometric Enhanced Wavelet-based Diffusion Model for Hyperspectral Image Super-resolution
AAAI 2026
Rectify Evaluation Preference: Improving LLMsβ Critique on Math Reasoning via Perplexity-aware Reinforcement Learning
AAAI 2026
Enhancing LLMs via High-Knowledge Data Selection
AAAI 2025
FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining
EMNLP 2025
FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy
ACL 2025
Growing Through Experience: Scaling Episodic Grounding in Language Models
ACL 2025
Latent Distribution Decouple for Uncertain-Aware Multimodal Multi-label Emotion Recognition
ACL 2025
LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation
COLING 2025
PIPER: Benchmarking and Prompting Event Reasoning Boundary of LLMs via Debiasing-Distillation Enhanced Tuning
ACL 2025
Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data
ACL 2025
Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation
EMNLP 2024
Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal
EMNLP 2024
Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation
ACL 2023
Local and Global: Temporal Question Answering via Information Fusion
IJCAI 2023
Pay Attention to Implicit Attribute Values: A Multi-modal Generative Framework for AVE Task
ACL 2023
CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation
ACL 2022
DABERT: Dual Attention Enhanced BERT for Semantic Matching
COLING 2022
Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion
EMNLP 2022
PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models
EMNLP 2022
Pay More Attention to History: A Context Modeling Strategy for Conversational Text-to-SQL
Interspeech 2022
Robust Lottery Tickets for Pre-trained Language Models
ACL 2022
Searching for Optimal Subword Tokenization in Cross-domain NER
IJCAI 2022
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
ACL 2021
Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models
EMNLP 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
EMNLP 2021
Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension
COLING 2020
Table Fact Verification with Structure-Aware Transformer
EMNLP 2020