8 papers
47B Mixture-of-Experts Beats 671B Dense Models on Chinese Medical Examinations
Chiung-Yi Tseng, Danyang Zhang, Tianyang Wang +8
The rapid advancement of large language models(LLMs) has prompted significant interest in their potential applications in medical domains. This paper presents a comprehensive bench…
Modality-Dependent Memory Mechanisms in Cross-Modal Neuromorphic Computing
Effiong Blessing, Chiung-Yi Tseng, Somshubhra Roy +2
Memory-augmented spiking neural networks (SNNs) promise energy-efficient neuromorphic computing, yet their generalization across sensory modalities remains unexplored. We present t…
Affective Multimodal Agents with Proactive Knowledge Grounding for Emotionally Aligned Marketing Dialogue
Lin Yu, Xiaofei Han, Yifei Kang +4
Recent advances in large language models (LLMs) have enabled fluent dialogue systems, but most remain reactive and struggle in emotionally rich, goal-oriented settings such as mark…
Is GPT-OSS All You Need? Benchmarking Large Language Models for Financial Intelligence and the Surprising Efficiency Paradox
Ziqian Bi, Danyang Zhang, Junhao Song +1
The rapid adoption of large language models in financial services necessitates rigorous evaluation frameworks to assess their performance, efficiency, and practical applicability.…
StreetMath: Study of LLMs' Approximation Behaviors
Chiung-Yi Tseng, Somshubhra Roy, Maisha Thasin +2
There is a substantial body of literature examining the mathematical reasoning capabilities of large language models (LLMs), particularly their performance on precise arithmetic op…
When Judgment Becomes Noise: How Design Failures in LLM Judge Benchmarks Silently Undermine Validity
Benjamin Feuer, Chiung-Yi Tseng, Astitwa Sarthak Lathe +2
LLM-judged benchmarks are increasingly used to evaluate complex model behaviors, yet their design introduces failure modes absent in conventional ground-truth based benchmarks. We…