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Conversational Search
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kyriemao/llmcs
공식 코드https://github.com/littlewine/zeco2
공식 코드https://github.com/miulab/converser
공식 코드CONVERSER: Few-Shot Conversational Dense Retrieval with Synthetic Data Generation
https://github.com/morecry/ssp
공식 코드SSP: Self-Supervised Post-training for Conversational Search
https://github.com/naver-ai/cs-shortcut
공식 코드Saving Dense Retriever from Shortcut Dependency in Conversational Search
https://github.com/newslotdetection/newslotdetection
공식 코드Actively Discovering New Slots for Task-oriented Conversation
https://github.com/nickvosk/sigir2020-query-resolution
공식 코드Query Resolution for Conversational Search with Limited Supervision
https://github.com/ninglab/sapient
공식 코드https://github.com/novasearch/conversational-search-assistant-transformers
공식 코드Open-Domain Conversational Search Assistant with Transformers
https://github.com/philotron/CS-Scholarly-KG
공식 코드Conversational Exploratory Search of Scholarly Publications Using Knowledge Graphs
https://github.com/prdwb/UserIntentPrediction
공식 코드https://github.com/prdwb/attentive_history_selection
공식 코드Attentive History Selection for Conversational Question Answering
https://github.com/prdwb/bert_hae
공식 코드BERT with History Answer Embedding for Conversational Question Answering
https://github.com/prdwb/orconvqa-release
공식 코드https://github.com/rmit-ir/walert
공식 코드https://github.com/scai-conf/scai-qrecc-21
공식 코드https://github.com/sebischair/conversational-domain-exploration-data
공식 코드Investigating Conversational Search Behavior For Domain Exploration
https://github.com/sebischair/kg-conv-exploratory-search
공식 코드https://github.com/smartyfh/infocqr
공식 코드Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting
https://github.com/smt-HS/I-SEE
공식 코드High-Quality Diversification for Task-Oriented Dialogue Systems
https://github.com/somiltg/orconvqa-release
공식 코드Role of Attentive History Selection in Conversational Information Seeking
https://github.com/souvickg/convex
공식 코드Toward Connecting Speech Acts and Search Actions in Conversational Search Tasks
https://github.com/spfrommer/cse-ranking-manipulation
공식 코드https://github.com/spfrommer/ragdoll-data-pipeline
공식 코드https://github.com/spfrommer/ranking_manipulation
공식 코드https://github.com/spfrommer/ranking_manipulation_data_pipeline
공식 코드https://github.com/stanford-oval/suql
공식 코드SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models
https://github.com/thunlp/ConvDR
공식 코드https://github.com/webis-de/ads-in-generative-ir
공식 코드https://github.com/webis-de/www-24
공식 코드https://github.com/xpmir/cosplade
공식 코드CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval
https://github.com/yfyuan01/mqc
공식 코드Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search
https://github.com/yunahjang/itercqr
공식 코드IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance
https://github.com/zhenduow/conversationalQA
공식 코드Controlling the Risk of Conversational Search via Reinforcement Learning
https://github.com/zy-liu/posscore
공식 코드POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.