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20212026
most citedAdapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains

2 citations · 3 across the 24 of their papers we have counts for

collaborators

39 papers

cs.AI2026

Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence

Mengru Wang, Junfeng Fang, Shuofei Qiao +17

AI models are increasingly used in scientific discovery and human decision-making. Yet how AI models work and what risks they pose remain poorly understood. As AI development becom…

cs.CL2026

EM^2Mem: Event-Centric Multimodal Memory for Large Language Models

Yijun Chen, Yaqi Zheng, Yanya Li +11

Multimodal memory offers a scalable interface for long-video question answering, but existing methods often retrieve captions, frames, transcripts, summaries, or graph facts as iso…

cs.LG2026

PRISM Edit: One Vector for All Temporal Answers

Chen Huang, Qi Zheng, Ruiqin Zheng +2

Model editing keeps large language models (LLMs) up to date without retraining, but temporal facts expose a limitation of the prevailing locate-and-edit paradigm: an update is not…

cs.CV2026

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models

Huafu Li, Guo Chen, Jia Xia +5

Visual information extraction (VIE) from visually rich documents remains challenging due to high layout variability and real-world impairments. Existing methods typically rely on s…

cs.LG2026

A theoretical model for task routing in mixture-of-expert transformers

Vinoth Nandakumar, Yongli Xiang, Yunzhi Yao +2

Mixture-of-experts (MoE) layers enable the scaling of transformer models while keeping the inference compute fixed. While task-expert specialization has been observed in empirical…

cs.CL2026

TokenPilot: Cache-Efficient Context Management for LLM Agents

Buqiang Xu, Zirui Xue, Dianmou Chen +12

As LLM agents are deployed in long-horizon sessions, context accumulation drives up inference costs. Existing approaches utilize text pruning or dynamic memory eviction to minimize…