Natural Language Queries
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 1
- 보존된 평가 기록
- 10
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/oncescuandreea/audio-retrieval
공식 코드https://github.com/opengvlab/ego4d-eccv2022-solutions
공식 코드InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges
https://github.com/opengvlab/egovideo
공식 코드EgoVideo: Exploring Egocentric Foundation Model and Downstream Adaptation
https://github.com/pauldrm/discosqa
공식 코드https://github.com/pkscanvas/roundtable
공식 코드https://github.com/pluslabnlp/ester
공식 코드ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning
https://github.com/pter61/aligncmss
공식 코드Align before Search: Aligning Ads Image to Text for Accurate Cross-Modal Sponsored Search
https://github.com/reml-group/fortisavqa
공식 코드FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal Reasoning
https://github.com/reml-group/music-avqa-r
공식 코드Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering
https://github.com/responsibleailab/s3llm
공식 코드S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
https://github.com/rhythmcao/semantic-parsing-dual
공식 코드https://github.com/ruc-aimc-lab/nt2vr
공식 코드https://github.com/sangminwoo/explore-and-match
공식 코드https://github.com/shangqing-liu/graphsearchnet
공식 코드GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search
https://github.com/showlab/egovlp
공식 코드https://github.com/shuailyu0110/sql-o1
공식 코드SQL-o1: Automatic Text-to-SQL Program Synthesis via Self-Reward Heuristic Search
https://github.com/simula/soccer-rag
공식 코드SoccerRAG: Multimodal Soccer Information Retrieval via Natural Queries
https://github.com/sky-wang326/gvoila
공식 코드G-VOILA: Gaze-Facilitated Information Querying in Daily Scenarios
https://github.com/skyline-9/visionary-vids
공식 코드Joint Moment Retrieval and Highlight Detection Via Natural Language Queries
https://github.com/sled-group/chat-with-nerf
공식 코드LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent
https://github.com/smsharma/paperclip-hubble
공식 코드PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal Models
https://github.com/srama2512/NaQ
공식 코드NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory
https://github.com/tanveer81/rgnet
공식 코드RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos
https://github.com/tencentarc/umt
공식 코드UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection
https://github.com/tensorflow/models
공식 코드Learning a Natural Language Interface with Neural Programmer
https://github.com/testzer0/ambiqt
공식 코드Benchmarking and Improving Text-to-SQL Generation under Ambiguity
https://github.com/uvavision/DrillDown
공식 코드Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries
https://github.com/wjun0830/qd-detr
공식 코드Query-Dependent Video Representation for Moment Retrieval and Highlight Detection
https://github.com/wssun/badcode
공식 코드https://github.com/xiangzhang-zx/llm-stockquery-dataset
공식 코드https://github.com/xingbow/QRecNLI
공식 코드Interactive Data Analysis with Next-step Natural Language Query Recommendation
https://github.com/yeliudev/R2-Tuning
공식 코드R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding
https://github.com/yingsen1/unimd
공식 코드UniMD: Towards Unifying Moment Retrieval and Temporal Action Detection
https://github.com/yisen-feng/objectnlq
공식 코드https://github.com/yisen-feng/osgnet
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.