Lampilot: An open benchmark dataset for autonomous driving with language model programs
Autonomous driving (AD) has made significant strides in recent years. However existing
frameworks struggle to interpret and execute spontaneous user instructions such as" …
frameworks struggle to interpret and execute spontaneous user instructions such as" …
A survey of neural code intelligence: Paradigms, advances and beyond
Neural Code Intelligence--leveraging deep learning to understand, generate, and optimize
code--holds immense potential for transformative impacts on the whole society. Bridging the …
code--holds immense potential for transformative impacts on the whole society. Bridging the …
A Survey on Large Language Models for Code Generation
J Jiang, F Wang, J Shen, S Kim, S Kim - arXiv preprint arXiv:2406.00515, 2024 - arxiv.org
Large Language Models (LLMs) have garnered remarkable advancements across diverse
code-related tasks, known as Code LLMs, particularly in code generation that generates …
code-related tasks, known as Code LLMs, particularly in code generation that generates …
Enhancing Code Intelligence Tasks with ChatGPT
Pre-trained code models have emerged as crucial tools in various code intelligence tasks.
However, their effectiveness depends on the quality of the pre-training dataset, particularly …
However, their effectiveness depends on the quality of the pre-training dataset, particularly …
Pragmatic Competence Evaluation of Large Language Models for Korean
D Park, J Lee, H Jeong, S Park, S Lee - arXiv preprint arXiv:2403.12675, 2024 - arxiv.org
The current evaluation of Large Language Models (LLMs) predominantly relies on
benchmarks focusing on their embedded knowledge by testing through multiple-choice …
benchmarks focusing on their embedded knowledge by testing through multiple-choice …
[HTML][HTML] Physician Versus Large Language Model Chatbot Responses to Web-Based Questions From Autistic Patients in Chinese: Cross-Sectional Comparative …
W He, W Zhang, Y Jin, Q Zhou, H Zhang… - Journal of Medical Internet …, 2024 - jmir.org
Background There is a dearth of feasibility assessments regarding using large language
models (LLMs) for responding to inquiries from autistic patients within a Chinese-language …
models (LLMs) for responding to inquiries from autistic patients within a Chinese-language …
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
Diffusion models have gained attention in text processing, offering many potential
advantages over traditional autoregressive models. This work explores the integration of …
advantages over traditional autoregressive models. This work explores the integration of …
From Effectiveness to Efficiency: Comparative Evaluation of Code Generated by LCGMs for Bilingual Programming Questions
Large Code Generation Models (LCGMs) have garnered significant attention and achieved
promising results across various programming tasks. However, concerns arise regarding …
promising results across various programming tasks. However, concerns arise regarding …
A Survey on the Real Power of ChatGPT
ChatGPT has changed the AI community and an active research line is the performance
evaluation of ChatGPT. A key challenge for the evaluation is that ChatGPT is still closed …
evaluation of ChatGPT. A key challenge for the evaluation is that ChatGPT is still closed …
A Survey on Large Language Models from Concept to Implementation
Recent advancements in Large Language Models (LLMs), particularly those built on
Transformer architectures, have significantly broadened the scope of natural language …
Transformer architectures, have significantly broadened the scope of natural language …