Simeng Han
10 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Research topics
Natural Language Processing
(8)
Machine Learning
(7)
Artificial Intelligence
(6)
Generation
(6)
Core AI
(5)
Applications
(4)
Deep Learning
(3)
Core Methods
(3)
Learning Types
(2)
Optimization & Theory
(2)
Understanding
(2)
Knowledge & Reasoning
(1)
Application Areas
(1)
Architectures
(1)
Learning Paradigms
(1)
Keywords
large language model
(3)
logical reasoning
(2)
few-shot learning
(2)
text summarization
(2)
data augmentation
(1)
in-context learning
(1)
transfer learning
(1)
benchmark dataset
(1)
dependency parsing
(1)
information retrieval
(1)
summarization evaluation
(1)
instruction following
(1)
neural text generation
(1)
gradient descent
(1)
first-order logic
(1)
maximum likelihood estimation
(1)
semantic similarity
(1)
tree structure
(1)
natural language generation
(1)
natural language inference
(1)
Papers
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
AAAI 2026
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization
NAACL 2024
FOLIO: Natural Language Reasoning with First-Order Logic
EMNLP 2024
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains
EMNLP 2024
QTSumm: Query-Focused Summarization over Tabular Data
EMNLP 2023
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation
ACL 2023
CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing
COLING 2022
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation
NAACL 2021
Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation
ICML 2021
Hierarchical Pointer Net Parsing
EMNLP 2019