2 papers
cs.AI2026
AgentJudgeBench: A Multi-Difficulty Benchmark for Evaluating LLM Judges on Agentic Tool-Calling
Abhigya Verma, Amit Kumar Saha, Seganrasan Subramanian +1
LLM judges are widely used to evaluate agentic tool-calling systems, yet their reliability on structured, dependency-driven workflows remains largely unexamined. We present AgentJu…
eess.AS2024
Evaluating the Impact of Discriminative and Generative E2E Speech Enhancement Models on Syllable Stress Preservation
Rangavajjala Sankara Bharadwaj, Jhansi Mallela, Sai Harshitha Aluru +1
Automatic syllable stress detection is a crucial component in Computer-Assisted Language Learning (CALL) systems for language learners. Current stress detection models are typicall…