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#NLP, #ML, #RL ...
Foundation Models & LLMs
LLM & FM Training
Un Certainty
Alignment Learning
Foundation Models & LLMs
Alignment learning (instruction fine-tuning, RLHF, Imitation learning)
Complex reasoning (math, code), self-correction, self-reflection
LLM decoding
AI-Agents
Plug-in modules (e.g., RAG)
Machine Learning & Representation Learning
Uncertatinty measure (measuring confidence of the model output)
Learning strategies (e.g., self-supervised learning)
Representation extraction & analysis
Training model in a restricted environment (Black-box model training & optimization)
Parameter-efficient training (e.g., pruning, knowledge distillation, quantization)
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