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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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+14 more ↓ 🗺️ Taxonomy Completionist (130) 🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird
🏠 Conference Loyalist (43) 🔬 Deep Specialist (16) 🏆 Grand Slam 🤝 Dynamic Duo (18) 🧬 Topic Evolution 👑 Triple Crown 🏆 Keyword Champion (4) ⚡ Prolific Year · Absurd 🔥 Unstoppable · Bronze ❓ The Questioner (4) 💎 Century Club · Gold 🌈 Renaissance Researcher (8) 📈 Trend Setter 🗃️ Keyword Collector (440)

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