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20242026
most citedInfMem: Learning System-2 Memory Control for Long-Context Agent

1 citations · 1 across the 11 of their papers we have counts for

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cs.CL2026

Patients-like-me: A Variational LM--GNN Framework for Explainable Clinical Prediction

Xinyu Wang, Yixuan Li, Hanwei Wu +4

Language models (LMs) offer strong textual representations for electronic health records (EHRs), but they encode patient sequences in isolation and provide limited explainability.…

cs.CL2026

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers

Linrui Ma, Chun Hei Lo, Xinyu Wang +12

The quadratic computational cost of traditional attention mechanisms poses a major bottleneck to the scalability and practical deployment of large language models (LLMs), particula…

cs.CL2026

TARQ: Tail-Aware Reconstruction Quantization for Rare-Word Robust Automatic Speech Recognition

Xinyu Wang, Ziyu Zhao, Ke Bai +4

Data-aware post-training quantization (PTQ) minimizes a per-token reconstruction loss on a small calibration corpus, implicitly weighting positions by their empirical frequency. Fo…

cs.CL2026

EvoEdit: Evolving Null-space Alignment for Robust and Efficient Knowledge Editing

Sicheng Lyu, Yu Gu, Xinyu Wang +5

Large language models (LLMs) require continual updates to rectify outdated or erroneous knowledge. Model editing has emerged as a compelling paradigm for introducing targeted modif…

cs.CL20261 cited

InfMem: Learning System-2 Memory Control for Long-Context Agent

Xinyu Wang, Mingze Li, Peng Lu +6

Reasoning over ultra-long documents requires synthesizing sparse evidence scattered across distant segments under strict memory constraints. While streaming agents enable scalable…

cs.CL2025

Resona: Improving Context Copying in Linear Recurrence Models with Retrieval

Xinyu Wang, Linrui Ma, Jerry Huang +5

Recent shifts in the space of large language model (LLM) research have shown an increasing focus on novel architectures to compete with prototypical Transformer-based models that h…