Chatbot
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 1
- 보존된 평가 기록
- 1
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/thinklab-sjtu/awesome-llm4eda
공식 코드LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation
https://github.com/thu-coai/CDial-GPT
공식 코드https://github.com/thu-coai/EVA
공식 코드EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training
https://github.com/thu-coai/augesc
공식 코드AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation
https://github.com/thu-coai/characterglm-6b
공식 코드CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models
https://github.com/thu-ml/attack-bard
공식 코드https://github.com/thudm/glm-4-voice
공식 코드GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot
https://github.com/tigerwww-git/rt-kgd
공식 코드RT-KGD: Relation Transition Aware Knowledge-Grounded Dialogue Generation
https://github.com/timdettmers/bitsandbytes
공식 코드https://github.com/tina9/mulmarker
공식 코드MulMarker: a comprehensive framework for identifying multi-gene prognostic signatures
https://github.com/tomjg14/two-faces-of-llms
공식 코드https://github.com/tomyoung903/fusedchat
공식 코드Fusing task-oriented and open-domain dialogues in conversational agents
https://github.com/toyhom/clv
공식 코드https://github.com/translatorswb/TWB-MT
공식 코드Congolese Swahili Machine Translation for Humanitarian Response
https://github.com/trieuntu/conversation_clustering
공식 코드Clustering Vietnamese Conversations From Facebook Page To Build Training Dataset For Chatbot
https://github.com/tsinghua-dhy/ceg
공식 코드https://github.com/tunib-ai/parallelformers
공식 코드https://github.com/uic-nlp-lab/virtualcoachdata
공식 코드https://github.com/ukplab/emnlp2023-learning-from-free-text-human-feedback
공식 코드Learning From Free-Text Human Feedback -- Collect New Datasets Or Extend Existing Ones?
https://github.com/uw-nsl/safedecoding
공식 코드SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
https://github.com/valdersoul/bn-vae
공식 코드A Batch Normalized Inference Network Keeps the KL Vanishing Away
https://github.com/vityavitalich/imad
공식 코드https://github.com/vivekmyers/empowerment_successor_representations
공식 코드https://github.com/vivian556123/neurips2024-covomix
공식 코드CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations
https://github.com/vsharecodes/percvae
공식 코드Exploiting Persona Information for Diverse Generation of Conversational Responses
https://github.com/weberi/node-red-contrib-rasa-actionserver
공식 코드https://github.com/weberi/rasaas-demo-flow
공식 코드https://github.com/weijialau/rssn
공식 코드https://github.com/wengsyx/lingyi
공식 코드LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs
https://github.com/wjko2/Domain-Agnostic-Sentence-Specificity-Prediction
공식 코드https://github.com/wlr737/emnlp2022-seek
공식 코드Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection
https://github.com/wlr737/sibyl
공식 코드https://github.com/wyu-du/controlled-dialogue-generation
공식 코드SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks
https://github.com/wyu-du/self-training-dialogue-generation
공식 코드Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation
https://github.com/xianjun-yang/quokka
공식 코드Quokka: An Open-source Large Language Model ChatBot for Material Science
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.