Daixuan Cheng
10 papers · 2022–2026 · 7 venues · across top CS/AI venues
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large language model
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domain adaptation
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zero-shot learning
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entropy coding
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knowledge transfer
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language model adaptation
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foundation model
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supervised learning
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reading comprehension
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in-context learning
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continued pretraining
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instruction tuning
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language model
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multi-task learning
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parameter-efficient fine-tuning
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lossless compression
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model collapse
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multimodal large language model
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reinforcement learning
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Papers
Reasoning with Exploration: An Entropy Perspective
AAAI 2026
How to Synthesize Text Data without Model Collapse?
ICML 2025
On Domain-Adaptive Post-Training for Multimodal Large Language Models
EMNLP 2025
Adapting Large Language Models via Reading Comprehension
ICLR 2024
FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models
NeurIPS 2024
Instruction Pre-Training: Language Models are Supervised Multitask Learners
EMNLP 2024
MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning
NAACL 2024
UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation
EMNLP 2023
VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching
ICCV 2023
Snapshot-Guided Domain Adaptation for ELECTRA
EMNLP 2022