From the 1 of 53 linked papers with an AI index.
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Directional Contextual Representations for Dependency Relations: Why Cross-Direction Pairing Fails
Sai Krishna Arthanari, JaeHyeong Chang, Chengzhe Sun +1
Splitting a bidirectional LSTM's contextual representation into a forward-only (strictly a function of tokens ) and a backward-only (strictly a function of tokens…
Sparse Token Routing in Efficient Transformers
Sai Krishna Arthanari, JaeHyeong Chang, Chengzhe Sun +1
Efficient-transformer research often motivates token pruning and adaptive computation with the claim that not all tokens require equal computational effort. We test this claim end…
Assessing the Ability of Neural TTS Systems to Model Consonant-Induced F0 Perturbation
Tianle Yang, Chengzhe Sun, Phil Rose +2
This study proposes a segmental-level prosodic probing framework to evaluate neural TTS models' ability to reproduce consonant-induced f0 perturbation, a fine-grained segmental-pro…
To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning Models
Zihao Zhu, Hongbao Zhang, Ruotong Wang +3
Large Reasoning Models (LRMs) are designed to solve complex tasks by generating explicit reasoning traces before producing final answers. However, we reveal a critical vulnerabilit…
A Self-Learning Multimodal Approach for Fake News Detection
Hao Chen, Hui Guo, Baochen Hu +5
The rapid growth of social media has resulted in an explosion of online news content, leading to a significant increase in the spread of misleading or false information. While mach…