Information Retrieval
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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/smallporridge/assistrag
공식 코드AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant
https://github.com/smith-pit/llm-partisan-bias
공식 코드Whose Side Are You On? Investigating the Political Stance of Large Language Models
https://github.com/smt-HS/DeepTileBars-release
공식 코드DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval
https://github.com/som-shahlab/clinfo.ai
공식 코드https://github.com/somiltg/orconvqa-release
공식 코드Role of Attentive History Selection in Conversational Information Seeking
https://github.com/sophiaalthammer/bert-pli
공식 코드Cross-domain Retrieval in the Legal and Patent Domains: a Reproducibility Study
https://github.com/sophiaalthammer/dossier_coliee
공식 코드https://github.com/sophiaalthammer/parm
공식 코드PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval
https://github.com/sophiaalthammer/patent-lim
공식 코드Linguistically Informed Masking for Representation Learning in the Patent Domain
https://github.com/sophiaalthammer/tripjudge
공식 코드TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval
https://github.com/souravsaha/ir_explain
공식 코드https://github.com/srhthu/lm-compeval-legal
공식 코드A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction
https://github.com/sruthisudheer/comment-classification-of-c-code
공식 코드Identification of the Relevance of Comments in Codes Using Bag of Words and Transformer Based Models
https://github.com/stanford-futuredata/ColBERT
공식 코드ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
https://github.com/stanford-oval/suql
공식 코드SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models
https://github.com/stanford-oval/wikichat
공식 코드https://github.com/stanfordnlp/mixed-distribution-retrieval
공식 코드Resources and Evaluations for Multi-Distribution Dense Information Retrieval
https://github.com/staoxiao/retromae
공식 코드RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder
https://github.com/starsuzi/dar
공식 코드Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation
https://github.com/starsuzi/udeg
공식 코드Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation
https://github.com/stern5497/doc2docbeirir
공식 코드One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial Support
https://github.com/studio-ousia/bpr
공식 코드Efficient Passage Retrieval with Hashing for Open-domain Question Answering
https://github.com/suncerock/EAsT-music-classification
공식 코드https://github.com/sunnweiwei/mair
공식 코드MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
https://github.com/sunnweiwei/rankgpt
공식 코드Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
https://github.com/sureli/dicyr_code
공식 코드https://github.com/surrey-nlp/PLOD-AbbreviationDetection
공식 코드PLOD: An Abbreviation Detection Dataset for Scientific Documents
https://github.com/susavlsh10/espn-v1
공식 코드https://github.com/sutaoyu/CDMEA
공식 코드Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective
https://github.com/suziai/gui-tools
공식 코드Proceedings of the 5th International Workshop on Reading Music Systems
https://github.com/svakulenk0/ODExploration_data
공식 코드https://github.com/svakulenk0/cast_evaluation
공식 코드A Comparison of Question Rewriting Methods for Conversational Passage Retrieval
https://github.com/swagatikadash010/gender_age
공식 코드Fairness in Image Search: A Study of Occupational Stereotyping in Image Retrieval and its Debiasing
https://github.com/tLabruna/Adapt-LLM
공식 코드When to Retrieve: Teaching LLMs to Utilize Information Retrieval Effectively
https://github.com/tanghaoyu258/feel
공식 코드Visual Self-paced Iterative Learning for Unsupervised Temporal Action Localization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.