stereoplegic
's Collections
Towards an Understanding of Large Language Models in Software
Engineering Tasks
Paper
•
2308.11396
•
Published
•
1
Several categories of Large Language Models (LLMs): A Short Survey
Paper
•
2307.10188
•
Published
•
1
Large Language Models for Generative Recommendation: A Survey and
Visionary Discussions
Paper
•
2309.01157
•
Published
•
1
A Survey on Large Language Models for Recommendation
Paper
•
2305.19860
•
Published
•
1
A Survey on Model Compression for Large Language Models
Paper
•
2308.07633
•
Published
•
3
Reasoning with Language Model Prompting: A Survey
Paper
•
2212.09597
•
Published
•
2
Continual Lifelong Learning with Neural Networks: A Review
Paper
•
1802.07569
•
Published
•
1
Software Testing with Large Language Model: Survey, Landscape, and
Vision
Paper
•
2307.07221
•
Published
•
1
Large Language Models Meet NL2Code: A Survey
Paper
•
2212.09420
•
Published
•
1
Is Prompt All You Need? No. A Comprehensive and Broader View of
Instruction Learning
Paper
•
2303.10475
•
Published
•
2
Large Language Model Alignment: A Survey
Paper
•
2309.15025
•
Published
•
2
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language
Models' Alignment
Paper
•
2308.05374
•
Published
•
27
A Comprehensive Overview of Large Language Models
Paper
•
2307.06435
•
Published
•
1
A Survey on Large Language Model based Autonomous Agents
Paper
•
2308.11432
•
Published
•
1
Pretraining in Deep Reinforcement Learning: A Survey
Paper
•
2211.03959
•
Published
•
1
Reinforcement Learning for Generative AI: A Survey
Paper
•
2308.14328
•
Published
•
1
The Life Cycle of Knowledge in Big Language Models: A Survey
Paper
•
2303.07616
•
Published
•
1
Empirical Analysis of the Strengths and Weaknesses of PEFT Techniques
for LLMs
Paper
•
2304.14999
•
Published
•
2
Towards a Unified View of Parameter-Efficient Transfer Learning
Paper
•
2110.04366
•
Published
•
2
A Survey of Learning-based Automated Program Repair
Paper
•
2301.03270
•
Published
•
1
A Comprehensive Analysis of Adapter Efficiency
Paper
•
2305.07491
•
Published
•
1
A Practical Survey on Faster and Lighter Transformers
Paper
•
2103.14636
•
Published
•
1
Towards Understanding the Capability of Large Language Models on Code
Clone Detection: A Survey
Paper
•
2308.01191
•
Published
•
1
The Rise and Potential of Large Language Model Based Agents: A Survey
Paper
•
2309.07864
•
Published
•
7
The Technological Emergence of AutoML: A Survey of Performant Software
and Applications in the Context of Industry
Paper
•
2211.04148
•
Published
•
1
Data Augmentation Approaches in Natural Language Processing: A Survey
Paper
•
2110.01852
•
Published
•
1
From Instructions to Intrinsic Human Values -- A Survey of Alignment
Goals for Big Models
Paper
•
2308.12014
•
Published
•
1
A Large-Scale Survey on the Usability of AI Programming Assistants:
Successes and Challenges
Paper
•
2303.17125
•
Published
•
1
A Bibliometric Review of Large Language Models Research from 2017 to
2023
Paper
•
2304.02020
•
Published
•
1
Activation Functions in Deep Learning: A Comprehensive Survey and
Benchmark
Paper
•
2109.14545
•
Published
•
1
Continual Learning: Applications and the Road Forward
Paper
•
2311.11908
•
Published
•
1
Is Complexity Required for Neural Network Pruning? A Case Study on
Global Magnitude Pruning
Paper
•
2209.14624
•
Published
•
1
A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis,
and Recommendations
Paper
•
2308.06767
•
Published
•
1
A Brief Review of Hypernetworks in Deep Learning
Paper
•
2306.06955
•
Published
•
1
A Survey on Language Models for Code
Paper
•
2311.07989
•
Published
•
21
The Good, the Bad, and the Missing: Neural Code Generation for Machine
Learning Tasks
Paper
•
2305.09082
•
Published
•
1
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper
•
2401.13601
•
Published
•
44
Video Understanding with Large Language Models: A Survey
Paper
•
2312.17432
•
Published
•
2
Methods for Pruning Deep Neural Networks
Paper
•
2011.00241
•
Published
•
1
Instruction Tuning for Large Language Models: A Survey
Paper
•
2308.10792
•
Published
•
1
Neural Architecture Search: Insights from 1000 Papers
Paper
•
2301.08727
•
Published
•
2
The What, Why, and How of Context Length Extension Techniques in Large
Language Models -- A Detailed Survey
Paper
•
2401.07872
•
Published
•
2
A Review of Sparse Expert Models in Deep Learning
Paper
•
2209.01667
•
Published
•
3
A Unified View of Long-Sequence Models towards Modeling Million-Scale
Dependencies
Paper
•
2302.06218
•
Published
•
1
A Quantitative Review on Language Model Efficiency Research
Paper
•
2306.01768
•
Published
•
1
Large Language Model based Multi-Agents: A Survey of Progress and
Challenges
Paper
•
2402.01680
•
Published
•
2
LLM Multi-Agent Systems: Challenges and Open Problems
Paper
•
2402.03578
•
Published