Papers by Dang Huu-Tien

2 papers
Class based Influence Functions for Error Detection (2023.acl-short)

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Challenge: Influence functions (IFs) are powerful tools for detecting anomalous examples in large scale datasets.
Approach: They propose a method to explain the instability of IFs by leveraging class information to improve the stability of ifs.
Outcome: The proposed method improves performance and stability while incurring no additional computational cost.
Improving Chain-of-Thought for Logical Reasoning via Attention-Aware Intervention (2026.findings-eacl)

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Challenge: Modern logical reasoning with LLMs relies on employing complex interactive frameworks that decompose the reasoning process into subtasks solved through carefully designed prompts or requiring external components, which limit their scalability.
Approach: They propose a non-interactive, end-to-end framework for reasoning tasks that enables reasoning to emerge within the model itself.
Outcome: The proposed framework improves generalization while preserving analyzability without external resources.

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