https://github.com/jderiu/spot-the-bot-code
공식 코드Spot The Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems
Papers with Code 아카이브
Chatbot
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Chatbot or conversational AI is a language model designed and implemented to have conversations with humans.
Source: Open Data Chatbot
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jeremyleiliu/xlingudial
공식 코드https://github.com/jfzhouyoo/case
공식 코드CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation
https://github.com/jichangzhen/CCN
공식 코드https://github.com/jin8/adlm
공식 코드Language Detoxification with Attribute-Discriminative Latent Space
https://github.com/jisilverh/psydial
공식 코드PSYDIAL: Personality-based Synthetic Dialogue Generation using Large Language Models
https://github.com/jobpal/nex-cv
공식 코드https://github.com/johndmendonca/medal
공식 코드https://github.com/jokieleung/ntrd
공식 코드https://github.com/jordan-benjamin/hydragen
공식 코드Hydragen: High-Throughput LLM Inference with Shared Prefixes
https://github.com/jpickard1/brad
공식 코드https://github.com/jsalt2024-evaluating-llms-for-astronomy/astro-arxiv-bot
공식 코드Designing an Evaluation Framework for Large Language Models in Astronomy Research
https://github.com/julianser/Ubuntu-Multiresolution-Tools
공식 코드Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation
https://github.com/jwoongkim11/qa-rag
공식 코드From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process
https://github.com/k2-fsa/ZipVoice
공식 코드ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching
https://github.com/kaishxu/DFMed
공식 코드https://github.com/kepei1106/decompeval
공식 코드DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering
https://github.com/king-s-knowledge-graph-lab/ontochat
공식 코드Improving Ontology Requirements Engineering with OntoChat and Participatory Prompting
https://github.com/knowledge-ukraine/ontochatgpt
공식 코드OntoChatGPT Information System: Ontology-Driven Structured Prompts for ChatGPT Meta-Learning
https://github.com/krafton-ai/mpc
공식 코드Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
https://github.com/kumar-shridhar/Know-Your-Intent
공식 코드Subword Semantic Hashing for Intent Classification on Small Datasets
https://github.com/lancopku/AMM
공식 코드https://github.com/lancopku/DPGAN
공식 코드https://github.com/land-fbk/prodigy-dataset
공식 코드https://github.com/lddsdu/VRBot
공식 코드Semi-Supervised Variational Reasoning for Medical Dialogue Generation
https://github.com/lemon234071/AdaLabel
공식 코드https://github.com/lemonsis/ctrlstruct
공식 코드CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation
https://github.com/lfdharo/DSTC10_Track5_Toxicity
공식 코드Automatic Evaluation and Moderation of Open-domain Dialogue Systems
https://github.com/liangke23/knowledge_assisted_medical_dialogue_generation_mechanism
공식 코드https://github.com/likenneth/persona_drift
공식 코드Measuring and Controlling Instruction (In)Stability in Language Model Dialogs
https://github.com/lipiji/Guyu
공식 코드https://github.com/lisk123/uccr
공식 코드User-Centric Conversational Recommendation with Multi-Aspect User Modeling
https://github.com/litterbrother-xiao/overview-of-non-autoregressive-applications
공식 코드A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond
https://github.com/liupingw/CASS-Framework
공식 코드CASS: Towards Building a Social-Support Chatbot for Online Health Community
https://github.com/liupingw/CASS-Framwork
공식 코드CASS: Towards Building a Social-Support Chatbot for Online Health Community
https://github.com/llm-dra/dra
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.