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Nitin Bisht

ICML 2026×2SIGIR 2026检索与知识效率与系统数据与预训练
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2 一作 · 3 篇 · ICML 2026 / SIGIR 2026

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2026 顶会论文

3
一作ICML 2026Poster· General Machine Learning / Sequential, Network, and Time Series Modeling

CARE: Adaptive Calibration for Reliable Recommendations

Nitin Bisht · Huan Huo · Xiuwen Gong · Guandong Xu

作者位次 #2/6SIGIR 2026Oral· Information Retrieval (Full)

Diagnosing and Mitigating Mid-Sequence Degradation in Recommender Systems

Linjiang Guo · Nitin Bisht · Shiqing Wu · Huan Huo · Xianzhi Wang · Guandong Xu

摘要

Although attention-based sequential recommenders have achieved strong accuracy, they can exhibit a systematic failure mode, i.e., lost-in-the-middle, where attention disproportionately concentrates on sequence boundaries to informative middle behaviors. Through controlled perturbations, we find t...

检索与知识效率与系统数据与预训练OpenReview

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