Bing Xu
19 papers · 2014–2026 · 8 venues · across top CS/AI venues
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πΊοΈ Taxonomy Completionist (48) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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The Namer
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Keyword Trendsetter Combo
(3)
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Topic Evolution
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Keyword Champion
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Keyword Pioneer
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Unstoppable Β· Bronze
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The Questioner
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Keyword Collector
(87)
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Century Club Β· Bronze
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Prolific Year Β· Productive
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Research topics
Machine Learning
(14)
Artificial Intelligence
(12)
Core AI
(12)
Deep Learning
(10)
Natural Language Processing
(8)
Learning Types Β· Machine Learning
(6)
Optimization & Theory
(6)
Application Areas
(5)
Core Methods
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Applications
(4)
Learning Types Β· Deep Learning
(4)
Resources & Methods
(4)
Architectures
(3)
Techniques
(3)
Understanding
(3)
Keywords
large language model
(8)
data augmentation
(2)
mixture of expert
(2)
chinese language
(2)
multi-task learning
(2)
attention mechanism
(2)
benchmark evaluation
(2)
word sense disambiguation
(2)
preference optimization
(2)
text classification
(2)
graph representation learning
(1)
preference learning
(1)
adversarial learning
(1)
knowledge distillation
(1)
image classification
(1)
model evaluation
(1)
natural language processing
(1)
lexical semantics
(1)
sentiment analysis
(1)
grammatical error correction
(1)
Papers
Enhancing Online Recruitment with Category-Aware MoE and LLM-based Data Augmentation
ACL 2026
Long-form RewardBench: Evaluating Reward Models for Long-form Generation
AAAI 2026
Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory
AAAI 2026
WSDPO: A Generative Word Sense Disambiguation Framework with Chain-of-Thought and Preference Optimization
ACL 2026
A Chain-of-Task Framework for Instruction Tuning of LLMs Based on Chinese Grammatical Error Correction
COLING 2025
An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4
ACL 2025
Enhancing Talent Search Ranking with Role-Aware Expert Mixtures and LLM-based Fine-Grained Job Descriptions
EMNLP 2025
MADAWSD: Multi-Agent Debate Framework for Adversarial Word Sense Disambiguation
EMNLP 2025
MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training
ACL 2025
Self-Evaluation of Large Language Model based on Glass-box Features
EMNLP 2024
Robust Causal Graph Representation Learning against Confounding Effects
AAAI 2023
CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection
NAACL 2022
HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection
SemEval 2022
Multi-Grained Knowledge Distillation for Named Entity Recognition
NAACL 2021
CN-HIT-MI.T at SemEval-2020 Task 8: Memotion Analysis Based on BERT
SemEval 2020
CN-HIT-MI.T at SemEval-2019 Task 6: Offensive Language Identification Based on BiLSTM with Double Attention
SemEval 2019
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution
ICCV 2019
MI&T Lab at SemEval-2017 task 4: An Integrated Training Method of Word Vector for Sentiment Classification
SemEval 2017
Generative Adversarial Nets
NeurIPS 2014