Jingbo Shang
102 papers · 2018–2026 · 10 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.
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🗺️ Taxonomy Completionist (130) 🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird
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Research topics
Machine Learning
(78)
Natural Language Processing
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Artificial Intelligence
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Learning Types · Machine Learning
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Core AI
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Deep Learning
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Applications
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Learning Types · Deep Learning
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Learning Paradigms
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Optimization & Theory
(13)
Generation
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Understanding
(11)
Keywords
large language model
(18)
text classification
(15)
few-shot learning
(10)
representation learning
(9)
weak supervision
(9)
named entity recognition
(8)
weakly supervised learning
(8)
language model
(7)
multimodal learning
(7)
knowledge distillation
(7)
contrastive learning
(6)
zero-shot learning
(6)
transfer learning
(6)
relation extraction
(5)
prompt engineering
(5)
text generation
(5)
instruction tuning
(4)
zero-shot classification
(4)
instruction following
(4)
domain adaptation
(4)
Papers
Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection
ACL 2026
Deriving Character Logic from Storyline as Codified Decision Trees
ACL 2026
SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes
ACL 2026
ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations
NAACL 2025
Can Language Models Follow Multiple Turns of Entangled Instructions?
EMNLP 2025
CoMMIT: Coordinated Multimodal Instruction Tuning
EMNLP 2025
Correlation and Navigation in the Vocabulary Key Representation Space of Language Models
ICLR 2025
Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM’s Nest
ACL 2025
Direct Prompt Optimization with Continuous Representations
ACL 2025
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction
NAACL 2025
Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics
EMNLP 2025
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
EMNLP 2025
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
ICLR 2025
Self-Taught Agentic Long Context Understanding
ACL 2025
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
ICLR 2025
The Price of Format: Diversity Collapse in LLMs
EMNLP 2025
Toward Multi-Session Personalized Conversation: A Large-Scale Dataset and Hierarchical Tree Framework for Implicit Reasoning
EMNLP 2025
Train a Unified Multimodal Data Quality Classifier with Synthetic Data
EMNLP 2025
ULTRABENCH: Benchmarking LLMs under Extreme Fine-grained Text Generation
EMNLP 2025
Vector-ICL: In-context Learning with Continuous Vector Representations
ICLR 2025
VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM
EMNLP 2025
ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition
AAAI 2025
Answer is All You Need: Instruction-following Text Embedding via Answering the Question
ACL 2024
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph
ACL 2024
Can LLMs Learn from Previous Mistakes? Investigating LLMs’ Errors to Boost for Reasoning
ACL 2024
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
ICLR 2024
CloudSheep System for WMT24 Discourse-Level Literary Translation
EMNLP 2024
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation
ACL 2024
Data Contamination Can Cross Language Barriers
EMNLP 2024
Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step
ACL 2024
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering
NAACL 2024
Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs
ACL 2024
Fast-ELECTRA for Efficient Pre-training
ICLR 2024
Incubating Text Classifiers Following User Instruction with Nothing but LLM
EMNLP 2024
Large Language Models for Time Series: A Survey
IJCAI 2024
Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving
ACL 2024
MEMORYLLM: Towards Self-Updatable Large Language Models
ICML 2024
MiDRED: An Annotated Corpus for Microbiome Knowledge Base Construction
ACL 2024
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision
EMNLP 2024
Open-world Multi-label Text Classification with Extremely Weak Supervision
EMNLP 2024
Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing
NeurIPS 2024
READ: Improving Relation Extraction from an ADversarial Perspective
NAACL 2024
Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models
ACL 2024
Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products
ACL 2024
Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification
EMNLP 2024
TOOLVERIFIER: Generalization to New Tools via Self-Verification
EMNLP 2024
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation
COLING 2024
Toward Student-oriented Teacher Network Training for Knowledge Distillation
ICLR 2024
UniMTS: Unified Pre-training for Motion Time Series
NeurIPS 2024
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches
ACL 2023
ClusterLLM: Large Language Models as a Guide for Text Clustering
EMNLP 2023
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
ACL 2023
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification
EMNLP 2023
Goal-Driven Explainable Clustering via Language Descriptions
EMNLP 2023
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space
ICML 2023
Learning Concise and Descriptive Attributes for Visual Recognition
ICCV 2023
Less than One-shot: Named Entity Recognition via Extremely Weak Supervision
EMNLP 2023
Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework
IJCAI 2023
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing
ICLR 2023
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting
EMNLP 2023
PrimeNet: Pre-training for Irregular Multivariate Time Series
AAAI 2023
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction
ACL 2023
Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty
EMNLP 2023
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank
EMNLP 2023
Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach
ACL 2023
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path
EMNLP 2023
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation
EMNLP 2023
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining
ICML 2023
Fine-grained Contrastive Learning for Relation Extraction
EMNLP 2022
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition
EMNLP 2022
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting
NeurIPS 2022
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns
ACL 2022
Leveraging QA Datasets to Improve Generative Data Augmentation
EMNLP 2022
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification
EMNLP 2022
MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding
EMNLP 2022
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification
EMNLP 2022
Phrase-aware Unsupervised Constituency Parsing
ACL 2022
Progressive Sentiment Analysis for Code-Switched Text Data
EMNLP 2022
Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty
ACL 2022
Towards Comprehensive Patent Approval Predictions:Beyond Traditional Document Classification
ACL 2022
Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework
ACL 2022
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining
ACL 2022
Unsupervised Deep Keyphrase Generation
AAAI 2022
WeDef: Weakly Supervised Backdoor Defense for Text Classification
EMNLP 2022
“Average” Approximates “First Principal Component”? An Empirical Analysis on Representations from Neural Language Models
EMNLP 2021
BFClass: A Backdoor-free Text Classification Framework
EMNLP 2021
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data
EMNLP 2021
LayoutReader: Pre-training of Text and Layout for Reading Order Detection
EMNLP 2021
Sensei: Self-Supervised Sensor Name Segmentation
ACL 2021
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names
NAACL 2021
Weakly Supervised Named Entity Tagging with Learnable Logical Rules
ACL 2021
X-Class: Text Classification with Extremely Weak Supervision
NAACL 2021
Contextualized Weak Supervision for Text Classification
ACL 2020
Empower Entity Set Expansion via Language Model Probing
ACL 2020
META: Metadata-Empowered Weak Supervision for Text Classification
EMNLP 2020
SeNsER: Learning Cross-Building Sensor Metadata Tagger
EMNLP 2020
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery
EMNLP 2020
Towards Adaptive Residual Network Training: A Neural-ODE Perspective
ICML 2020
Arabic Named Entity Recognition: What Works and What’s Next
ACL 2019
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
EMNLP 2019
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
EMNLP 2018
Learning Named Entity Tagger using Domain-Specific Dictionary
EMNLP 2018