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Natural Language Queries

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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평가표

1

보존된 평가 기록

10

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/kingcong/tall

TALL: Temporal Activity Localization via Language Query

https://github.com/lisaanne/localizingmoments

Localizing Moments in Video with Natural Language

https://github.com/llmbev/talk2bev

Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving

https://github.com/mandubian/codenets

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

https://github.com/microsoft/CodeBERT

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

https://github.com/mindspore-ai/models/tree/master/research/cv/tall

TALL: Temporal Activity Localization via Language Query

https://github.com/mrezende/concra

When Deep Learning Met Code Search

https://github.com/mrsalehi/ground-sentence-video

TALL: Temporal Activity Localization via Language Query

https://github.com/nchen909/codeattention

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

https://github.com/nicholaslocascio/deep-regex

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge

https://github.com/pramodkaushik/np_analysis

Learning a Natural Language Interface with Neural Programmer

https://github.com/raphaelsty/mkb

Inductive Entity Representations from Text via Link Prediction

https://github.com/robotics-4-all/ISSEL-Announcements

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

https://github.com/runzhouge/MAC

TALL: Temporal Activity Localization via Language Query

https://github.com/salesforce/coderl

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

https://github.com/shmsw25/bart-closed-book-qa

How Much Knowledge Can You Pack Into the Parameters of a Language Model?

https://github.com/sjj0403/GSCS

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

https://github.com/tanveer81/revisionllm

RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos

https://github.com/wangjw6/llmob

OpenAGI: When LLM Meets Domain Experts

https://github.com/xiye17/torchASN

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge

https://github.com/yakazimir/Code-Datasets

Function Assistant: A Tool for NL Querying of APIs

https://github.com/yakazimir/zubr_public

Function Assistant: A Tool for NL Querying of APIs

https://github.com/zfj1998/CodeBert-Code2Text

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

https://github.com/zhaoyue-zephyrus/avion

Egocentric Video-Language Pretraining

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.