activity
20232025
most citedNova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning

1 citations · 1 across the 4 of their papers we have counts for

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cs.SE2024

Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code

Nan Jiang, Qi Li, Lin Tan +1

Despite their success, large language models (LLMs) face the critical challenge of hallucinations, generating plausible but incorrect content. While much research has focused on ha…

cs.RO2024

SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models

Yi Wu, Zikang Xiong, Yiran Hu +5

Despite significant advancements in large language models (LLMs) that enhance robot agents' understanding and execution of natural language (NL) commands, ensuring the agents adher…