Dongfang Li
25 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(18)
Core AI
(17)
Natural Language Processing
(16)
Machine Learning
(13)
Applications
(13)
Deep Learning
(11)
Learning Types Β· Machine Learning
(10)
Resources & Methods
(8)
Learning Types Β· Deep Learning
(6)
Models
(4)
Healthcare & Medicine
(3)
Application Areas
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Clinical
(3)
Generation
(3)
Optimization & Theory
(3)
Keywords
retrieval-augmented generation
(6)
large language model
(6)
question answering
(3)
knowledge graph
(3)
text classification
(3)
pharmacist examination
(2)
pre-trained language model
(2)
hallucination detection
(2)
feature attribution
(2)
information retrieval
(2)
named entity recognition
(2)
adversarial training
(2)
citation generation
(2)
language model
(2)
knowledge editing
(2)
in-context learning
(2)
few-shot learning
(2)
text generation
(2)
fact verification
(1)
self-supervised learning
(1)
Papers
Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning
ACL 2026
Improving Value-based Process Verifier via Low-Cost Variance Reduction
AAAI 2026
Structured Episodic Event Memory
ACL 2026
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
Does the Generator Mind Its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer
COLING 2024
Improving Attributed Text Generation of Large Language Models via Preference Learning
ACL 2024
In-Context Learning State Vector with Inner and Momentum Optimization
NeurIPS 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
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
NeurIPS 2024
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation
AAAI 2024
Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment
EMNLP 2024
Temporal Knowledge Question Answering via Abstract Reasoning Induction
ACL 2024
TruthReader: Towards Trustworthy Document Assistant Chatbot with Reliable Attribution
EMNLP 2024
Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense Retrieval
IJCNLP 2023
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination
EMNLP 2023
Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training
ACL 2023
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates
EMNLP 2022
Diaformer: Automatic Diagnosis via Symptoms Sequence Generation
AAAI 2022
Prompt-based Text Entailment for Low-Resource Named Entity Recognition
COLING 2022
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction
AAAI 2022
Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text
EMNLP 2020
Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning
EMNLP 2019
LCQMC:A Large-scale Chinese Question Matching Corpus
COLING 2018