https://github.com/neuir/llm-qe
공식 코드LLM-QE: Improving Query Expansion by Aligning Large Language Models with Ranking Preferences
Papers with Code 아카이브
Information Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 33
- 보존된 평가 기록
- 17
Information retrieval is the task of ranking a list of documents or search results in response to a query
<span style="color:grey; opacity: 0.6">( Image credit: sudhanshumittal )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nguyen2015/captain-coliee2023
공식 코드CAPTAIN at COLIEE 2023: Efficient Methods for Legal Information Retrieval and Entailment Tasks
https://github.com/nickvosk/sigir2020-query-resolution
공식 코드Query Resolution for Conversational Search with Limited Supervision
https://github.com/nikolamilosevic86/Marvin
공식 코드Marvin: Semantic annotation using multiple knowledge sources
https://github.com/nikolamilosevic86/SerbianStemmer
공식 코드https://github.com/nikolamilosevic86/verif.ai
공식 코드https://github.com/ningkko/umls_colloquial
공식 코드Streamlining Social Media Information Retrieval for COVID-19 Research with Deep Learning
https://github.com/ningkko/umls_colloquialism
공식 코드Streamlining Social Media Information Retrieval for COVID-19 Research with Deep Learning
https://github.com/nisarg851/humberchatbot
공식 코드https://github.com/nju-websoft/epr-kgqa
공식 코드Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval
https://github.com/nju-websoft/mmrag
공식 코드https://github.com/nla-group/fabba
공식 코드An efficient aggregation method for the symbolic representation of temporal data
https://github.com/nlp-tlp/cleangraph
공식 코드CleanGraph: Human-in-the-loop Knowledge Graph Refinement and Completion
https://github.com/nlpcode/annollm
공식 코드AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators
https://github.com/nobrowning/seq_hgnn
공식 코드Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph
https://github.com/noewangjy/csprd_dataset
공식 코드CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market
https://github.com/nokia/codesearch
공식 코드Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent
https://github.com/norakassner/BERT-kNN
공식 코드BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA
https://github.com/northeastern-datalab/alt-gen
공식 코드https://github.com/novasearch-team/rag-retrieval
공식 코드Benchmarking the Myopic Trap: Positional Bias in Information Retrieval
https://github.com/noveens/distill_cf
공식 코드https://github.com/noveens/infinite_ae_cf
공식 코드https://github.com/nthakur20/income
공식 코드https://github.com/nyu-dl/dl4marco-bert
공식 코드https://github.com/oaqa/FlexNeuART
공식 코드https://github.com/oldaandozerskaya/age_based_classification
공식 코드A Comparative Study of Feature Types for Age-Based Text Classification
https://github.com/oliversavolainen/axiomatic-ir-reproduce
공식 코드https://github.com/olivierjeunen/ndcg-disagreement
공식 코드https://github.com/ollijarviniemi/uncovering_deceptive_tendencies
공식 코드Uncovering Deceptive Tendencies in Language Models: A Simulated Company AI Assistant
https://github.com/oneal2000/entityhallucination
공식 코드Mitigating Entity-Level Hallucination in Large Language Models
https://github.com/oneal2000/wikiformer
공식 코드Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-hoc Retrieval
https://github.com/onlplab/rvs
공식 코드https://github.com/open-event-hub/event-enhanced_retrieval
공식 코드https://github.com/openmatch/fit5
공식 코드Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval
https://github.com/opennlplab/scalinglaws
공식 코드https://github.com/orionw/followir
공식 코드FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.