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cs.AI2026
TRACE: Transition-Aware Residual Control for Multi-Objective Materials Discovery
Kang Zhou, Yujia Tong, Yong Tao +1
Multi-objective materials discovery with LLM agents is often limited not only by how many candidates can be proposed, but by how effectively each costly property evaluation informs…
cs.AI2026
Does Compression Preserve Uncertainty? A Unified Benchmark for Quantized and Sparse LLMs via Conformal Prediction
Yujia Tong, Yuxi Wang, Yunyang Wan +3
Model compression techniques such as quantization and pruning are widely used to reduce the deployment cost of large language models (LLMs), with existing evaluations focusing almo…