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Chenglin Wang

2 accepted papers

2026

Next-ToBE: Probabilistic Next Token-Bag Exploitation for Activating Anticipatory Capacity in LLMs

ICLR 2026poster

Auto-regressive large language models (LLMs) exhibit a non-trivial capacity to "anticipate'' long-range future tokens despite being trained to predict only one token at a time. Nevertheless, how to systematically profile, enhance and leverage such capacity to practically improve LLM reasoning perfor…

Cited by 0SourceScholar
2025

InsectMamba: State Space Model with Adaptive Composite Features for Insect Recognition

ICASSP 2025accepted

The recognition of insect pests is a critical task in agricultural technology, vital for ensuring food security and environmental sustainability. However, due to factors like high camouflage and species diversity, the complexity of pest identification poses significant obstacles. Existing methods st…

Cited by 0SourceScholar