Program Synthesis
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 5
- 평가표
- 3
- 보존된 평가 기록
- 5
Program synthesis is the process of automatically generating a program or code snippet that satisfies a given specification or set of requirements. This can include generating code from a formal specification, a natural language description, or example inputs and outputs. The primary goal of program synthesis is to minimize human intervention in the coding process, reduce errors, and improve productivity.
Program synthesis often involves the use of advanced algorithms, artificial intelligence, and machine learning techniques to search the space of possible programs that meet the given constraints. This process can be guided by a variety of techniques, such as constraint solving, symbolic execution, and genetic algorithms.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/semal/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/shaikhzhas/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sherinaseri/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/shreyashankar/gpt3-sandbox
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/simon-benigeri/narrative-generation
https://github.com/siramatu/brigade-visualizer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/skoltech-nlp/rudetoxifier
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/smarton-empower/smarton-ai
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/snu-mllab/edac
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
https://github.com/socc-io/piqaboo
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/somiltg/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/somiltg/xquad
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sonalisrijan/Deep-Learning-based-Defect-Prediction-Model-for-Source-Code
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sorendunn/agentless-lite
Agentless: Demystifying LLM-based Software Engineering Agents
https://github.com/soutsios/pos-tagger-bert-tensorflow
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/stefan-it/europeana-bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/stefan-it/historic-ner
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sumith1896/spoc
https://github.com/sunblaze-ucb/SED
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis
https://github.com/sunyilgdx/prompts4keras
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/superli3/CYRMPR
https://github.com/superli3/codenavi
https://github.com/surancy/nlp-classification-with-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/suzgunmirac/meta-prompting
https://github.com/svakulenk0/response_eval
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sydney-machine-learning/sentimentanalysis-uselections
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/tcnguyen/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/tdd-ai/data-collection
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/teghub/TurkishNER-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/tensorflow/models/tree/master/official/nlp
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/tensorflow/models/tree/master/research/brain_coder
https://github.com/terne/dtuproject
Deep Reinforcement Learning for Programming Language Correction
https://github.com/thanhlong1997/bert_quora
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/the-Quert/iNLPfun
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/theQuert/inlpfun
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.