https://github.com/BCV-Uniandes/query-objseg
공식 코드Dynamic Multimodal Instance Segmentation guided by natural language queries
Papers with Code 아카이브
Natural Language Queries
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/DrenFazlija/AccessDeniedInc
공식 코드ACCESS DENIED INC: The First Benchmark Environment for Sensitivity Awareness
https://github.com/FeiWang96/GTR
공식 코드Retrieving Complex Tables with Multi-Granular Graph Representation Learning
https://github.com/HasanAlpCaferoglu/E-SQL
공식 코드E-SQL: Direct Schema Linking via Question Enrichment in Text-to-SQL
https://github.com/Jun-jie-Huang/CoCLR
공식 코드CoSQA: 20,000+ Web Queries for Code Search and Question Answering
https://github.com/JuruoMP/T5-SR
공식 코드T5-SR: A Unified Seq-to-Seq Decoding Strategy for Semantic Parsing
https://github.com/LUMIA-Group/TosT5
공식 코드Enhancing SPARQL Generation by Triplet-order-sensitive Pre-training
https://github.com/ShijieZhou-UCLA/feature-3dgs
공식 코드Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
https://github.com/SichengMo/Ego4D_NLQ_Actionformer
공식 코드A Simple Transformer-Based Model for Ego4D Natural Language Queries Challenge
https://github.com/StanleySun233/maritime-vts
공식 코드https://github.com/Thaonguyen3095/affordance-language
공식 코드Robot Object Retrieval with Contextual Natural Language Queries
https://github.com/TheShadow29/zsgnet-pytorch
공식 코드Zero-Shot Grounding of Objects from Natural Language Queries
https://github.com/UTEL-UIUC/TransitGPT
공식 코드https://github.com/abhijithneilabraham/tableqa
공식 코드https://github.com/adobe-research/polar-vl
공식 코드Improving Personalized Search with Regularized Low-Rank Parameter Updates
https://github.com/agiresearch/openagi
공식 코드https://github.com/ai-forever/sg-detr
공식 코드Saliency-Guided DETR for Moment Retrieval and Highlight Detection
https://github.com/akoepke/audio-retrieval-benchmark
공식 코드Audio Retrieval with Natural Language Queries: A Benchmark Study
https://github.com/akshay140601/query2cad
공식 코드Query2CAD: Generating CAD models using natural language queries
https://github.com/alex-haochenli/reco
공식 코드Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search
https://github.com/andfoy/query-objseg
공식 코드Dynamic Multimodal Instance Segmentation guided by natural language queries
https://github.com/andrewevag/SemEval2025-Task8-TQA
공식 코드https://github.com/aranciokov/relevancemargin-icmr22
공식 코드Relevance-based Margin for Contrastively-trained Video Retrieval Models
https://github.com/arifusta/DBTagger
공식 코드https://github.com/audio-agi/audiosep
공식 코드https://github.com/cainand/refav
공식 코드https://github.com/chihhuiho/yoro
공식 코드https://github.com/chrschy/fact-finder
공식 코드Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs
https://github.com/cmavro/rearev_kgqa
공식 코드ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs
https://github.com/cmavro/tempoqr
공식 코드https://github.com/cyc1am3n/text2program-for-ehr
공식 코드Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records
https://github.com/cynthia/stylekqc
공식 코드StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands
https://github.com/d3mlab/rir
공식 코드Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval
https://github.com/d3mlab/rir_data
공식 코드Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval
https://github.com/dfdazac/blp
공식 코드Inductive Entity Representations from Text via Link Prediction
https://github.com/dhx20150812/toolcoder
공식 코드ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.