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From the 1 of 12 linked papers with an AI index.

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12 papers

cs.AI2026

PreDiff-LM: Pretrained Discrete Masked Diffusion Language Modeling with Hybrid Attention

Zhengtao Yao, Runhao Li, Xupeng Chen +12

The paper presents PreDiff-LM, a discrete masked diffusion language model that retains causal attention on the prompt while applying bidirectional attention within masked targets,…

cs.AI2026

Less Data, Better Alignment: Data-Centric Multi-Evaluator Agreement for Preference Optimization

Zhengtao Yao, Runhao Li, Xupeng Chen +12

Research on preference optimization often varies the training objective while holding the data fixed. We instead ask whether a small, high-confidence set of on-policy responses can…

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…

cs.LG2026

TSNN: A Non-parametric and Interpretable Framework for Traffic Time Series Forecasting

Bowen Liu, Haijian Lai, Chan-Tong Lam +4

Although many complex models were proposed to analyze time series data, some studies have demonstrated remarkable performance with simpler structures. A recent study proposed a non…

cs.LG2026

SAU: Sparsity-Aware Unlearning for LLMs via Gradient Masking and Importance Redistribution

Yuze Wang, Yujia Tong, Xuan Liu +1

Large Language Models (LLMs) inevitably memorize sensitive information during training, posing significant privacy risks. Machine unlearning has emerged as a promising solution to…

cs.CV2025

ChromouVQA: Benchmarking Vision-Language Models under Chromatic Camouflaged Images

Yunfei Zhang, Yizhuo He, Yuanxun Shao +5

Vision-Language Models (VLMs) have advanced multimodal understanding, yet still struggle when targets are embedded in cluttered backgrounds requiring figure-ground segregation. To…