Attention with Dependency Parsing Augmentation for Fine-Grained Attribution
2025 Findings of ACL [Download]
This work proposes a novel fine-grained attribution method, leveraging attention weights and dependency parsing.
Selected Publications
ConciseExplain: Reducing Redundancy and Spuriousness in Persuasive Recommendation Explanation
2025 KDD [Download]
Tagging Generatively: Dynamic and Open-Ended Image Tagging with MLLM
2025 IJCNN [Download]
Image tagging via generative model and semantic linking model.
Towards Efficient Quantity Retrieval from Text: An Approach via Description Parsing and Weak Supervision
2025 DEXA [Download]
Retrieving quantities from a corpus via description
Inspire Me with Your Questions: Repurposing Historical Questions for New Documents
2025 DEXA [Download]
How to guide users to ask a good question on a new document?
Uncovering Limitations of Large Language Models in Information Seeking from Tables
2024 Findings of ACL [Download]
We propose a benchmark dataset demonstrating that LLMs are not good at seeking information from tables.
Guideline Learning for In-Context Information Extraction
2023 EMNLP [Download]
We propose to learn the task description (guideline) to learn from training samples for in-context learning
Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification
2023 NeurIPS [Download]
We prove that, under some assumptions, ensemble model outperforms its members on a range of coverage for selective classification.
Numerical Tuple Extraction from Tables with Pre-training
2022 KDD [Download]
Extracting the meaning of numbers in complex structured tables.
Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Methods, Evaluations, and Applications
2021 JCST [Download]
We study the problem of extracting variable-depth “logical document hierarchy”, i.e. table of contents, from long documents.
Jura: Towards Automatic Compliance Assessment for Annual Reports of Listed Companies
2021 CIKM [Download]
Assess compliance for annual reports of listed company against hundreds of listing rules, and find document structure information is important.
Numerical Formula Recognition from Tables
2021 KDD [Download]
Extracting numerical calculation formulas in tables.
A Bottom-Up DAG Structure Extraction Model for Math Word Problems
2020 AAAI [Download]
Solve math word problem as extracting a DAG structure upon text.
Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts
2020 KDD [Download]
Automatic cross-checking over numerical facts in tables in financial documents.
Nested Relation Extraction with Iterative Neural Network
2019 CIKM [Download]
Nested relation extraction with iterative neural network to extract structured information.
Extracting Formulas from Text
2018 WWW [Download]
Extract formulas from text using deep learning method.