5 citations · 5 across the 4 of their papers we have counts for
5 papers
VAmoS Part Deux: Harder, More Realistic Voice-Agent Simulation
Joshua Meyer, Sahar Shayegan, Ritiz Tambi +5
Voice agents in production must handle several requests, background speech, and customers who lose patience. We introduce VAmoS Energy, a benchmark that combines these challenges i…
VAmoS Bench: Voice Agent Simulation Bench
Joshua Meyer, Sahar Shayegan, Ritiz Tambi +5
Production voice agents span cascaded, speech-to-speech, and hybrid architectures. Voice-agent benchmarks typically measure component quality and conversational properties such as…
POaaS: Minimal-Edit Prompt Optimization as a Service to Lift Accuracy and Cut Hallucinations on On-Device sLLMs
Jungwoo Shim, Dae Won Kim, Sun Wook Kim +4
Small language models (sLLMs) are increasingly deployed on-device, where imperfect user prompts--typos, unclear intent, or missing context--can trigger factual errors and hallucina…
SLM as Guardian: Pioneering AI Safety with Small Language Models
Ohjoon Kwon, Donghyeon Jeon, Nayoung Choi +6
Most prior safety research of large language models (LLMs) has focused on enhancing the alignment of LLMs to better suit the safety requirements of humans. However, internalizing s…
Taxonomy and Analysis of Sensitive User Queries in Generative AI Search
Hwiyeol Jo, Taiwoo Park, Hyunwoo Lee +10
Although there has been a growing interest among industries in integrating generative LLMs into their services, limited experience and scarcity of resources act as a barrier in lau…