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cs.AI2026
TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders
Wei Pang, Xiangru Jian, Hehan Li +10
Tabular encoders are usually evaluated inside task-specific end-to-end pipelines, so models from different training paradigms are difficult to compare directly even when they opera…
cs.AI2026
Towards Human-Like Interactive Speech Recognition With Agentic Correction and Semantic Evaluation
Zixuan Jiang, Yanqiao Zhu, Peng Wang +8
Automatic speech recognition (ASR) is a core component of human--computer interaction and an increasingly important front-end for LLM-based assistants and agents. However, most cur…