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20172026
most citedAssessing and Understanding Creativity in Large Language Models

35 citations · 130 across the 50 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.AR2026

HE^2: A Communication-Light Heterogeneous Architecture for Efficient Fully Homomorphic Encryption

Shangyi Shi, Husheng Han, Zhaoxuan Kan +8

CKKS, an emerging fully homomorphic encryption (FHE) scheme, has been promising in privacy-preserving applications by enabling SIMD fixed-point computations on ciphertexts. Despite…

cs.AI2026

Discrete Diffusion for Complex and Congested Multi-Agent Path Finding with Sparse Social Attention

Yuanzhe Wang, Tian Zhi, Zihang Wei +8

Multi-Agent Path Finding (MAPF) is a coordination problem that requires computing globally consistent, collision-free trajectories from individual start positions to assigned goal…

cs.LG2026

LKV: End-to-End Learning of Head-wise Budgets and Token Selection for LLM KV Cache Eviction

Enshuai Zhou, Yifan Hao, Chao Wang +7

Long-context inference in Large Language Models (LLMs) is bottlenecked by the linear growth of Key-Value (KV) cache memory. Existing KV cache compression paradigms are fundamentall…

cs.SE2026

QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization

Changxin Ke, Rui Zhang, Jiaming Guo +10

Large Language Models (LLMs) achieve strong program repair performance but often suffer from over-editing, where excessive modifications overwrite correct code and hinder bug local…

cs.LG2026

QiMeng-ChipV-RTL: Exploiting Information Locality for IP-level Verilog Generation

Hanqi Lyu, Di Huang, Yaoyu Zhu +10

The generation of Register-Transfer Level (RTL) code is a crucial yet labor-intensive step in digital hardware design, traditionally requiring engineers to manually translate compl…