https://github.com/Alab-NII/onecommon
공식 코드A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context
Papers with Code 아카이브
Goal-Oriented Dialog
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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Achieving a pre-defined goal through a dialog.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ClovaAI/ClovaCall
공식 코드https://github.com/IBM/modified-bAbI-dialog-tasks
공식 코드Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use
https://github.com/IBM/naturalistic-variation-goal-oriented-dialog-datasets
공식 코드https://github.com/IBM/ne-table-datasets
공식 코드https://github.com/IBM/permuted-bAbI-dialog-tasks
공식 코드Learning End-to-End Goal-Oriented Dialog with Multiple Answers
https://github.com/Meow-E/USimAgent2.0
공식 코드Exploring Human-Like Thinking in Search Simulations with Large Language Models
https://github.com/MiuLab/UserSimulator
공식 코드https://github.com/SKTBrain/SUMBT
공식 코드SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking
https://github.com/alcein/taira
공식 코드Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent
https://github.com/alibaba/esim-response-selection
공식 코드Sequential Attention-based Network for Noetic End-to-End Response Selection
https://github.com/amazon-research/multiatis
공식 코드End-to-End Slot Alignment and Recognition for Cross-Lingual NLU
https://github.com/amazon-research/real-world-noisy-benchmarks-for-natural-language-understanding
공식 코드https://github.com/chaitjo/personalized-dialog
공식 코드https://github.com/chongminggao/KuaiRec
공식 코드KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems
https://github.com/danialebrat/lusifer
공식 코드Lusifer: LLM-based User SImulated Feedback Environment for online Recommender systems
https://github.com/diligentspring/investigating-the-robustness-of-counterfactual-learning-to-rank-models
공식 코드Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study
https://github.com/haodeqi/BenchmarkingIntentDetection
공식 코드Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations
https://github.com/iai-group/ictir2024-usersim-objectives
공식 코드Towards a Formal Characterization of User Simulation Objectives in Conversational Information Access
https://github.com/iai-group/kdd2020-usersim
공식 코드Evaluating Conversational Recommender Systems via User Simulation
https://github.com/iai-group/sigir2022-usersim
공식 코드Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems
https://github.com/iai-group/usersimcrs
공식 코드UserSimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender Systems
https://github.com/isekulic/usi
공식 코드Evaluating Mixed-initiative Conversational Search Systems via User Simulation
https://github.com/kaniblu/vhda
공식 코드Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
https://github.com/lanyu0303/afl
공식 코드Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
https://github.com/meow-e/usimagent
공식 코드USimAgent: Large Language Models for Simulating Search Users
https://github.com/nob0/crs-breakdown-detection
공식 코드Identifying Breakdowns in Conversational Recommender Systems using User Simulation
https://github.com/observeai-research/nli-fsl
공식 코드Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection
https://github.com/rafaelhferreira/mtad_cta
공식 코드Multi-trait User Simulation with Adaptive Decoding for Conversational Task Assistants
https://github.com/ruc-gsai/yulan-rec
공식 코드User Behavior Simulation with Large Language Model based Agents
https://github.com/ruizhaogit/MNIST-GuessNumber
공식 코드Efficient Dialog Policy Learning via Positive Memory Retention
https://github.com/ruizhaogit/PositiveMemoryRetention
공식 코드Efficient Dialog Policy Learning via Positive Memory Retention
https://github.com/s6fikass/Chatbot_KVNN
공식 코드Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-Task Learning
https://github.com/salesforce/DNNC-few-shot-intent
공식 코드Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference
https://github.com/salesforce/botsim
공식 코드BotSIM: An End-to-End Bot Simulation Toolkit for Commercial Task-Oriented Dialog Systems
https://github.com/snakeztc/NeuralDialog-ZSDG
공식 코드Zero-Shot Dialog Generation with Cross-Domain Latent Actions
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.