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Lifu Huang

83 papers · 2012–2026 · 13 conferences · across top CS/AI conferences

Achievements

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+17 more ↓ πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird
πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13) πŸ—ΊοΈ Taxonomy Completionist (15) 🏠 Conference Loyalist (26) 🀝 Dynamic Duo (22) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (71) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (16) πŸ† Keyword Champion (3) πŸ—ƒοΈ Keyword Collector (321) πŸ’Ž Century Club (82) ❓ The Questioner (3) πŸ“ˆ Trend Setter ⚑ Prolific Year (20) πŸ”₯ Unstoppable (10)

Conferences

EMNLP (26) ACL (23) NAACL (13) ICLR (4) AAAI (3) COLING (3) ICML (3) IJCNLP (3) CONLL (1) EACL (1) ECCV (1) NIPS (1) WACV (1)

Papers

Endowing Vision-Language Models with System 2 Thinking for Fine-grained Visual Recognition AAAI 2026 Advancing Chart Question Answering with Robust Chart Component Recognition WACV 2025 DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking NAACL 2025 MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design NAACL 2025 Inference Compute-Optimal Video Vision Language Models ACL 2025 Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents NAACL 2025 UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers NAACL 2025 LLMs Can Reason Faster Only If We Let Them ICML 2025 AAAR-1.0: Assessing AI’s Potential to Assist Research ICML 2025 Re-Imagining Multimodal Instruction Tuning: A Representation View ICLR 2025 SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Model ICLR 2025 Modality-Specialized Synergizers for Interleaved Vision-Language Generalists ICLR 2025 Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models EMNLP 2025 MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper EMNLP 2025 Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories EMNLP 2025 R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation EMNLP 2025 LLM Braces: Straightening Out LLM Predictions with Relevant Sub-Updates ACL 2025 Error-driven Data-efficient Large Multimodal Model Tuning ACL 2025 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks AAAI 2024 Multimodal Instruction Tuning with Conditional Mixture of LoRA ACL 2024 Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models ACL 2024 X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification ACL 2024 Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning ACL 2024 Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes EACL 2024 AMD: Automatic Multi-step Distillation of Large-scale Vision Models ECCV 2024 M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning EMNLP 2024 DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models EMNLP 2024 Holistic Evaluation for Interleaved Text-and-Image Generation EMNLP 2024 EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction EMNLP 2024 InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States EMNLP 2024 Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction EMNLP 2024 A Comprehensive Survey on Document-Level Information Extraction EMNLP 2024 Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? ICLR 2024 Visual Fourier Prompt Tuning NIPS 2024 X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects NAACL 2024 RE2: Region-Aware Relation Extraction from Visually Rich Documents NAACL 2024 Targeted Augmentation for Low-Resource Event Extraction NAACL 2024 MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning ACL 2023 The Art of Prompting: Event Detection based on Type Specific Prompts ACL 2023 ADEPT: Adapter-based Efficient Prompt Tuning Approach for Language Models ACL 2023 Multimedia Generative Script Learning for Task Planning ACL 2023 Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction ACL 2023 Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation ACL 2023 The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models EMNLP 2023 APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models EMNLP 2023 RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training EMNLP 2023 New Frontiers of Information Extraction NAACL 2022 MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective EMNLP 2022 Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation EMNLP 2022 Probing Script Knowledge from Pre-Trained Models EMNLP 2022 Extracting Temporal Event Relation with Syntax-guided Graph Transformer NAACL 2022 MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding AAAI 2022 Towards Automatic Curation of Antibiotic Resistance Genes via Statement Extraction from Scientific Papers: A Benchmark Dataset and Models ACL 2022 Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding ACL 2022 PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation ACL 2022 Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection COLING 2022 How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction ACL 2021 The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction EMNLP 2021 How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction IJCNLP 2021 Semi-supervised New Event Type Induction and Event Detection EMNLP 2020 Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning EMNLP 2019 PaperRobot: Incremental Draft Generation of Scientific Ideas ACL 2019 Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning IJCNLP 2019 Biomedical Event Extraction based on Knowledge-driven Tree-LSTM NAACL 2019 Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging NAACL 2019 Global Attention for Name Tagging CONLL 2018 Chengyu Cloze Test NAACL 2018 Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension NAACL 2018 Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding EMNLP 2018 Zero-Shot Transfer Learning for Event Extraction ACL 2018 Paper Abstract Writing through Editing Mechanism ACL 2018 Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction EMNLP 2018 Entity-aware Image Caption Generation EMNLP 2018 Open Relation Extraction and Grounding IJCNLP 2017 Improving Slot Filling Performance with Attentive Neural Networks on Dependency Structures EMNLP 2017 Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding ACL 2017 AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding EMNLP 2016 Liberal Event Extraction and Event Schema Induction ACL 2016 A Language-Independent Neural Network for Event Detection ACL 2016 Generating Supplementary Travel Guides from Social Media COLING 2014 Optimized Event Storyline Generation based on Mixture-Event-Aspect Model EMNLP 2013 RelationListwise for Query-Focused Multi-Document Summarization COLING 2012