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[CSUR 2025] Continual Learning of Large Language Models: A Comprehensive Survey
[NAACL 2025 Oral] Multimodal Needle in a Haystack (MMNeedle): Benchmarking Long-Context Capability of Multimodal Large Language Models
[NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
Bayesian Low-Rank Adaptation of LLMs: BLoB [NeurIPS 2024] and TFB [NeurIPS 2025]
[Patterns (Cell) 2026] CLEAR-HPV: Interpretable concept discovery for HPV-associated morphology in whole-slide histology
[NAACL 2025 Oral] Multimodal Needle in a Haystack (MMNeedle): Benchmarking Long-Context Capability of Multimodal Large Language Models
[ICLR 2026] TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning
Bayesian Low-Rank Adaptation of LLMs: BLoB [NeurIPS 2024] and TFB [NeurIPS 2025]
[CSUR 2025] Continual Learning of Large Language Models: A Comprehensive Survey
[ICML 2024] Probabilistic Conceptual Explainers (PACE): Trustworthy Conceptual Explanations for Vision Foundation Models
[AAAI 2024] Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
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