Jingbo Shang

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