Natural Language Queries
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ericashimomoto/parameter-efficient-tvg
공식 코드Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding
https://github.com/exploration-lab/booksql
공식 코드BookSQL: A Large Scale Text-to-SQL Dataset for Accounting Domain
https://github.com/facebookresearch/EgoVLPv2
공식 코드EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone
https://github.com/felix01189/seed
공식 코드https://github.com/github/CodeSearchNet
공식 코드CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
https://github.com/google-research/google-research/tree/master/t5_closed_book_qa
공식 코드How Much Knowledge Can You Pack Into the Parameters of a Language Model?
https://github.com/google-research/language
공식 코드QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations
https://github.com/hkustdial/nl2sql_handbook
공식 코드A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?
https://github.com/houzhijian/groundnlq
공식 코드https://github.com/hrishikeshrt/sangrahaka
공식 코드Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs
https://github.com/hrtang22/MUSE
공식 코드MUSE: Mamba is Efficient Multi-scale Learner for Text-video Retrieval
https://github.com/hughvd/um-cai-fellowship
공식 코드From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries
https://github.com/ielab/sigir-ap-2023-bolean2natural4sr
공식 코드Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation
https://github.com/ikuinen/CMIN
공식 코드Cross-Modal Interaction Networks for Query-Based Moment Retrieval in Videos
https://github.com/informagi/embert
공식 코드https://github.com/jayleicn/moment_detr
공식 코드QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries
https://github.com/jiyanggao/TALL
공식 코드https://github.com/jonnys1226/ego4d_asl
공식 코드Action Sensitivity Learning for the Ego4D Episodic Memory Challenge 2023
https://github.com/joshuaongg21/comat
공식 코드CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning
https://github.com/junwoopark92/mimic-sparql
공식 코드Knowledge Graph-based Question Answering with Electronic Health Records
https://github.com/juruomp/rat-sql-tc
공식 코드Pay More Attention to History: A Context Modelling Strategy for Conversational Text-to-SQL
https://github.com/krzentner/language-world
공식 코드Conditionally Combining Robot Skills using Large Language Models
https://github.com/kuanghuei/SCAN
공식 코드Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search
https://github.com/kvt0012/viclevr
공식 코드https://github.com/leaplabthu/pseudo-q
공식 코드Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding
https://github.com/lucapodo/v-recs
공식 코드V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and Suggestions
https://github.com/makcedward/nlpaug
공식 코드P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts
https://github.com/mesnico/idclip
공식 코드Towards Identity-Aware Cross-Modal Retrieval: a Dataset and a Baseline
https://github.com/microsoft/EMNLP2019-Split-And-Recombine
공식 코드https://github.com/microsoft/nemoeval
공식 코드Enhancing Network Management Using Code Generated by Large Language Models
https://github.com/mingyao1120/tr-detr
공식 코드TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection
https://github.com/nikhilsab/h-star
공식 코드H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables
https://github.com/niluthpol/weak_supervised_video_moment
공식 코드https://github.com/nnnnai/ego4d_nlq_2022_1st_place_solution
공식 코드ReLER@ZJU-Alibaba Submission to the Ego4D Natural Language Queries Challenge 2022
https://github.com/nokia/codesearch
공식 코드Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.