Chengwei Qin
24 papers · 2022–2026 · 6 conferences · across top CS/AI conferences
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Keywords
large language model
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few-shot learning
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question answering
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catastrophic forgetting
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data augmentation
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continual learning
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zero-shot learning
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natural language processing
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unsupervised domain adaptation
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automatic speech recognition
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knowledge distillation
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in-context learning
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text annotation
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knowledge editing
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multimodal learning
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feature distribution
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logical reasoning
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Papers
Self-Reflective Generation at Test Time
ACL 2026
Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning
ACL 2025
Theory of Mind in Large Language Models: Assessment and Enhancement
ACL 2025
Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation
ACL 2025
Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?
ACL 2025
Is a Large Language Model a Good Annotator for Event Extraction?
AAAI 2024
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System
ACL 2024
Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models
ACL 2024
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges
ACL 2024
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing
EMNLP 2024
In-Context Learning with Iterative Demonstration Selection
EMNLP 2024
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments
EMNLP 2024
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models
NIPS 2024
Lifelong Event Detection with Embedding Space Separation and Compaction
NAACL 2024
Is GPT-3 a Good Data Annotator?
ACL 2023
Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition
ACL 2023
Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding
ACL 2023
Is ChatGPT a General-Purpose Natural Language Processing Task Solver?
EMNLP 2023
Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation
EMNLP 2023
Retrieving Multimodal Information for Augmented Generation: A Survey
EMNLP 2023
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework
ACL 2023
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
ACL 2023
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
ICLR 2022
Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation
ACL 2022