Publications (9)
Athena: Safe Autonomous Agents with Verbal Contrastive Learning
Tanmana Sadhu, Ali Pesaranghader, Yanan Chen +1
Due to emergent capabilities, large language models (LLMs) have been utilized as language-based agents to perform a variety of tasks and make decisions with an increasing degree of…
Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let's Take TravelPlanner as an Example
Yanan Chen, Ali Pesaranghader, Tanmana Sadhu +1
Large language models (LLMs) have brought autonomous agents closer to artificial general intelligence (AGI) due to their promising generalization and emergent capabilities. There i…
Weaker LLMs' Opinions Also Matter: Mixture of Opinions Enhances LLM's Mathematical Reasoning
Yanan Chen, Ali Pesaranghader, Tanmana Sadhu
Recent advances in Large Language Models (LLMs) have raised interest in their formal reasoning capabilities, particularly in mathematics. While closed LLMs like GPT-4 perform well…
A Fuzzy-based Approach to Predict Human Interaction by Functional Near-Infrared Spectroscopy
Xiaowei Jiang, Liang Ou, Yanan Chen +4
The paper introduces a Fuzzy-based Attention (Fuzzy Attention Layer) mechanism, a novel computational approach to enhance the interpretability and efficacy of neural models in psyc…
Interpretable Dual-Filter Fuzzy Neural Networks for Affective Brain-Computer Interfaces
Xiaowei Jiang, Yanan Chen, Nikhil Ranjan Pal +4
Fuzzy logic provides a robust framework for enhancing explainability, particularly in domains requiring the interpretation of complex and ambiguous signals, such as brain-computer…
Harmonic gated compensation network plus for ICASSP 2022 DNS CHALLENGE
Tianrui Wang, Weibin Zhu, Yingying Gao +3
The harmonic structure of speech is resistant to noise, but the harmonics may still be partially masked by noise. Therefore, we previously proposed a harmonic gated compensation ne…