activity
20232025
most citedADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models

46 citations · 46 across the 5 of their papers we have counts for

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2 papers · 1 filter

cs.CV2025

AMS-KV: Adaptive KV Caching in Multi-Scale Visual Autoregressive Transformers

Boxun Xu, Yu Wang, Zihu Wang +1

Visual autoregressive modeling (VAR) via next-scale prediction has emerged as a scalable image generation paradigm. While Key and Value (KV) caching in large language models (LLMs)…

cs.CL2025

Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation

Yu Wang, Kamalika Das, Xiang Gao +3

In tasks like summarization and open-book question answering (QA), Large Language Models (LLMs) often encounter "contextual hallucination", where they produce irrelevant or incorre…