https://github.com/Guzpenha/ConvRecProbingBERT
공식 코드What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation
Papers with Code 아카이브
Conversational Recommendation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/JD-AI-Research-NLP/RevCore
공식 코드https://github.com/PaddlePaddle/models
공식 코드Towards Conversational Recommendation over Multi-Type Dialogs
https://github.com/RUCAIBox/TG-ReDial
공식 코드https://github.com/aaronheee/bundle-mcr
공식 코드https://github.com/aaronheee/llms-as-zero-shot-conversational-recsys
공식 코드Large Language Models as Zero-Shot Conversational Recommenders
https://github.com/ahtsham58/crb-crs
공식 코드https://github.com/ahtsham58/infact
공식 코드INFACT: An Online Human Evaluation Framework for Conversational Recommendation
https://github.com/ahtsham58/inspired2
공식 코드INSPIRED2: An Improved Dataset for Sociable Conversational Recommendation
https://github.com/alexfanw/cochpl
공식 코드Chain-of-Choice Hierarchical Policy Learning for Conversational Recommendation
https://github.com/by2299/mese
공식 코드Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta Information
https://github.com/chongminggao/KuaiRec
공식 코드KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems
https://github.com/dayuyang1999/behavior-alignment
공식 코드Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommender Systems
https://github.com/facebookresearch/nuanced
공식 코드NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions
https://github.com/ggchen1997/neurocomputing
공식 코드Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation
https://github.com/granelle/naacl24-user-sim
공식 코드Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation
https://github.com/huangzichun/concept4crs
공식 코드https://github.com/icedpanda/COMPASS-official
공식 코드https://github.com/jeon185/lavic
공식 코드LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation
https://github.com/kkmjkim/pearl
공식 코드Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset
https://github.com/kondilidisn/exp-conv-rec
공식 코드https://github.com/kookeej/coral
공식 코드Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences
https://github.com/kylokano/LatentCRS
공식 코드https://github.com/lisk123/uccr
공식 코드User-Centric Conversational Recommendation with Multi-Aspect User Modeling
https://github.com/liuzeming01/durecdial
공식 코드DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation
https://github.com/mcauley-lab/recwizard
공식 코드https://github.com/ninglab/sapient
공식 코드https://github.com/nob0/crs-breakdown-detection
공식 코드Identifying Breakdowns in Conversational Recommender Systems using User Simulation
https://github.com/orzisemoji/kgensam
공식 코드Knowledge Graph-enhanced Sampling for Conversational Recommender System
https://github.com/rucaibox/cfcrs
공식 코드Improving Conversational Recommendation Systems via Counterfactual Data Simulation
https://github.com/rucaibox/ievalm-crs
공식 코드Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
https://github.com/rucaibox/mhim
공식 코드Multi-grained Hypergraph Interest Modeling for Conversational Recommendation
https://github.com/salesforce/DialogStudio
공식 코드DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
https://github.com/sergey-zeltyn/mip-dataset
공식 코드Prescriptive Process Monitoring in Intelligent Process Automation with Chatbot Orchestration
https://github.com/shuashua0608/Con-Duel
공식 코드https://github.com/snnzhao/dahcr
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.