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YedsonUQ
's Collections
Fine-Tuning, PEFT
Hallucination Frameworks Ideas
Understanding LLM Representation
Efficient Inference
Test-Time Scaling (TTS)
Agents AI
Long-context
Foundational Deep Learning - Architecture
AI-Automated Scientific Research
Benchmark and Evaluation
Distributed Training and Federated Learning
Explainable AI - Interpretable AI
Findings
Theory, Conceptualization, Paradigms
Hallucination
Learning Paradigm/Scheme
Models Series
Reasoning - Chain-of-Thought
Reinforcement Learning (RL)
Retrieval Augmented Generation (RAG)
Uncertainty Quantification
Survey
Theory, Conceptualization, Paradigms
updated
May 20
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Distillation Scaling Laws
Paper
•
2502.08606
•
Published
Feb 12
•
49
I-Con: A Unifying Framework for Representation Learning
Paper
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2504.16929
•
Published
Apr 23
•
30
Chain-of-Model Learning for Language Model
Paper
•
2505.11820
•
Published
May 17
•
122
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