← Authors

Baotian Hu

48 papers · 2014–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (92) πŸ”¬ Deep Specialist (10) 🌱 Topic Pioneer πŸ† Keyword Champion 🧬 Topic Evolution 🀝 Dynamic Duo (26) πŸ’Ž Century Club (47) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (196) ❓ The Questioner πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter

Conferences

EMNLP (13) ACL (12) AAAI (5) COLING (5) IJCNLP (3) NAACL (3) NIPS (3) IJCAI (2) ICML (1) SEMEVAL (1)

Top co-authors

Min Zhang (27) Dongfang Li (20) Qingcai Chen (16) Zhenran Xu (10) Xinshuo Hu (8) Zhenyu Liu (7) Zetian Sun (6) Yunxin Li (6) Longyue Wang (5) Xinping Zhao (4)

Keywords

large language model (9) retrieval-augmented generation (6) named entity recognition (5) question answering (4) entity linking (4) in-context learning (4) large multimodal model (3) language model (3) knowledge graph (3) text generation (3) few-shot learning (3) multimodal learning (3) feature attribution (2) adversarial training (2) knowledge base (2) vision-language model (2) text classification (2) knowledge editing (2) natural language processing (2) information retrieval (2)

Papers

Improving Value-based Process Verifier via Low-Cost Variance Reduction AAAI 2026
A Unified Agentic Framework for Evaluating Conditional Image Generation ACL 2025
VideoVista-CulturalLingo: 360Β° Horizons-Bridging Cultures, Languages, and Domains in Video Comprehension ACL 2025
ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development ACL 2025
MeKB-Sim: Personal Knowledge Base-Powered Multi-Agent Simulation NAACL 2025
CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models AAAI 2025
FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG NAACL 2025
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection NIPS 2024
In-Context Learning State Vector with Inner and Momentum Optimization NIPS 2024
Temporal Knowledge Question Answering via Abstract Reasoning Induction ACL 2024
Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment ACL 2024
Improving Attributed Text Generation of Large Language Models via Preference Learning ACL 2024
MultiSkill: Evaluating Large Multimodal Models for Fine-grained Alignment Skills EMNLP 2024
TruthReader: Towards Trustworthy Document Assistant Chatbot with Reliable Attribution EMNLP 2024
Does the Generator Mind Its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer COLING 2024
A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation COLING 2024
Generative Multimodal Entity Linking COLING 2024
Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion EMNLP 2024
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation EMNLP 2024
Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment EMNLP 2024
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation AAAI 2024
VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context ICML 2024
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination EMNLP 2023
Improving Biomedical Entity Linking with Cross-Entity Interaction AAAI 2023
A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues ACL 2023
A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text ACL 2023
Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training ACL 2023
Revisiting Sparse Retrieval for Few-shot Entity Linking EMNLP 2023
A Read-and-Select Framework for Zero-shot Entity Linking EMNLP 2023
PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification IJCAI 2023
Prompt-based Text Entailment for Low-Resource Named Entity Recognition COLING 2022
Enhancing Entity Representations with Prompt Learning for Biomedical Entity Linking IJCAI 2022
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction AAAI 2022
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates EMNLP 2022
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks EMNLP 2022
Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning ACL 2021
Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning IJCNLP 2021
Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text EMNLP 2020
MedWriter: Knowledge-Aware Medical Text Generation COLING 2020
Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning EMNLP 2019
Sentence Simplification with Memory-Augmented Neural Networks NAACL 2018
Context-Dependent Translation Selection Using Convolutional Neural Network ACL 2015
ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge SEMEVAL 2015
LCSTS: A Large Scale Chinese Short Text Summarization Dataset EMNLP 2015
Context-Dependent Translation Selection Using Convolutional Neural Network IJCNLP 2015
Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering IJCNLP 2015
Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering ACL 2015
Convolutional Neural Network Architectures for Matching Natural Language Sentences NIPS 2014