https://github.com/prdwb/bert_hae
공식 코드BERT with History Answer Embedding for Conversational Question Answering
Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 11
- 보존된 평가 기록
- 19
A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/prdwb/okvqa-release
공식 코드Passage Retrieval for Outside-Knowledge Visual Question Answering
https://github.com/prdwb/orconvqa-release
공식 코드https://github.com/prdwb/ws-orconvqa
공식 코드Weakly-Supervised Open-Retrieval Conversational Question Answering
https://github.com/predlico/aragog
공식 코드https://github.com/preethisesh/hiring_fairness
공식 코드Who Does the Giant Number Pile Like Best: Analyzing Fairness in Hiring Contexts
https://github.com/priba/ndcg_wordspotting.pytorch
공식 코드Learning to Rank Words: Optimizing Ranking Metrics for Word Spotting
https://github.com/primeqa/clapnq
공식 코드CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systems
https://github.com/primeqa/primeqa
공식 코드https://github.com/princeton-nlp/DensePhrases
공식 코드https://github.com/princeton-nlp/alce
공식 코드Enabling Large Language Models to Generate Text with Citations
https://github.com/princeton-nlp/autocompressors
공식 코드https://github.com/princeton-nlp/c-sts
공식 코드https://github.com/princeton-nlp/corpus-poisoning
공식 코드Poisoning Retrieval Corpora by Injecting Adversarial Passages
https://github.com/princeton-nlp/entityquestions
공식 코드https://github.com/princeton-nlp/litsearch
공식 코드LitSearch: A Retrieval Benchmark for Scientific Literature Search
https://github.com/princeton-pli/qrhead
공식 코드Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking
https://github.com/princeton-sysml/knnlm_privacy
공식 코드https://github.com/princetonvisualai/mqvr
공식 코드https://github.com/princetonvisualai/multimodal_dataset_distillation
공식 코드https://github.com/principia-ai/WriteHERE
공식 코드https://github.com/pritamqu/CrissCross
공식 코드Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity
https://github.com/priyankamandikal/vedantany-10m
공식 코드Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy
https://github.com/prlz77/attend-and-rectify
공식 코드Pay attention to the activations: a modular attention mechanism for fine-grained image recognition
https://github.com/probe2/multi-hop
공식 코드MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge
https://github.com/project-miracl/hagrid
공식 코드HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution
https://github.com/project-miracl/miracl
공식 코드Making a MIRACL: Multilingual Information Retrieval Across a Continuum of Languages
https://github.com/project-miracl/nomiracl
공식 코드https://github.com/projectdossier/intents_labelling
공식 코드ORCAS-I: Queries Annotated with Intent using Weak Supervision
https://github.com/pse-ecn/expanded-cross-neighborhood
공식 코드A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking
https://github.com/pse-ecn/pose-sensitive-embedding
공식 코드A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking
https://github.com/pseulki/rococo
공식 코드RoCOCO: Robustness Benchmark of MS-COCO to Stress-test Image-Text Matching Models
https://github.com/pshams55/AMIL
공식 코드AMIL: Adversarial Multi Instance Learning for Human Pose Estimation
https://github.com/psmmettes/object-priors-unseen-actions
공식 코드https://github.com/psycho-demon/mirrn
공식 코드https://github.com/ptarau/DeepRank
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.