THEFIG
's Collections
Code
updated
CodePlan: Repository-level Coding using LLMs and Planning
Paper
•
2309.12499
•
Published
•
74
Octopus: Embodied Vision-Language Programmer from Environmental Feedback
Paper
•
2310.08588
•
Published
•
34
SALMON: Self-Alignment with Principle-Following Reward Models
Paper
•
2310.05910
•
Published
•
2
Lemur: Harmonizing Natural Language and Code for Language Agents
Paper
•
2310.06830
•
Published
•
31
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language
Feedback
Paper
•
2309.10691
•
Published
•
4
StarCoder 2 and The Stack v2: The Next Generation
Paper
•
2402.19173
•
Published
•
136
StepCoder: Improve Code Generation with Reinforcement Learning from
Compiler Feedback
Paper
•
2402.01391
•
Published
•
41
Creative Robot Tool Use with Large Language Models
Paper
•
2310.13065
•
Published
•
8
AgileCoder: Dynamic Collaborative Agents for Software Development based
on Agile Methodology
Paper
•
2406.11912
•
Published
•
26
SemCoder: Training Code Language Models with Comprehensive Semantics
Paper
•
2406.01006
•
Published
•
1
AutoCoder: Enhancing Code Large Language Model with
AIEV-Instruct
Paper
•
2405.14906
•
Published
•
24
Training LLMs to Better Self-Debug and Explain Code
Paper
•
2405.18649
•
Published
InverseCoder: Unleashing the Power of Instruction-Tuned Code LLMs with
Inverse-Instruct
Paper
•
2407.05700
•
Published
•
11
ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off
Code Generation
Paper
•
2405.17057
•
Published
PLUM: Preference Learning Plus Test Cases Yields Better Code Language
Models
Paper
•
2406.06887
•
Published
•
1
McEval: Massively Multilingual Code Evaluation
Paper
•
2406.07436
•
Published
•
39