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cs.CL2026
FidelityQ: Preserving Predictive Fidelity in Ultra-Low-Bit Language Model Quantization
Yujie Chen, Weiyan Zheng, Yiwu Yao +7
Ultra-low-bit scalar quantization offers a regular arithmetic structure for efficient deployment of large language models, but preserving predictive behavior at extreme precision r…
cs.LG2026
ARFBench: Benchmarking Time Series Question Answering Ability for Software Incident Response
Stephan Xie, Ben Cohen, Mononito Goswami +6
Time series question-answering (TSQA), in which we ask natural language questions to infer and reason about properties of time series, is a promising yet underexplored capability o…