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Response Generation
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A task where an agent should play the $DE$ role and generate a text to respond to a $P$ message.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ZhangYiqun018/StickerConv
공식 코드STICKERCONV: Generating Multimodal Empathetic Responses from Scratch
https://github.com/a-rain/state_management_empdialogue
공식 코드https://github.com/abaheti95/QADialogSystem
공식 코드Fluent Response Generation for Conversational Question Answering
https://github.com/adianliusie/comparative-assessment
공식 코드https://github.com/ai4society/trustworthy-chatbot
공식 코드https://github.com/aistairc/VDAct
공식 코드A Video-grounded Dialogue Dataset and Metric for Event-driven Activities
https://github.com/alexa/alexa-with-dstc9-track1-dataset
공식 코드https://github.com/alexa/commonsense-dialogues
공식 코드Commonsense-Focused Dialogues for Response Generation: An Empirical Study
https://github.com/alexa/dial-guide
공식 코드DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines
https://github.com/alexa/factual-consistency-analysis-of-dialogs
공식 코드https://github.com/algoprog/syntod
공식 코드Simulating Task-Oriented Dialogues with State Transition Graphs and Large Language Models
https://github.com/alibaba/AliceMind/tree/main/PALM
공식 코드PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation
https://github.com/amazon-research/domain-knowledge-injection
공식 코드Injecting Domain Knowledge in Language Models for Task-Oriented Dialogue Systems
https://github.com/andreamad8/FSB
공식 코드https://github.com/andreamad8/PPCM
공식 코드https://github.com/anon-nlp-1234/da-nlg
공식 코드https://github.com/anuradha1992/EmpatheticIntents
공식 코드A Taxonomy of Empathetic Response Intents in Human Social Conversations
https://github.com/apple/ml-mgie
공식 코드Guiding Instruction-based Image Editing via Multimodal Large Language Models
https://github.com/aramir62/da-nlg
공식 코드https://github.com/asappresearch/constrained-dialogue-generation
공식 코드Long-term Control for Dialogue Generation: Methods and Evaluation
https://github.com/asappresearch/dialogue-offline-rl
공식 코드On the Effectiveness of Offline RL for Dialogue Response Generation
https://github.com/asu-kim/personal-llm-kg
공식 코드Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph
https://github.com/aub-mind/Arabic-Empathetic-Chatbot
공식 코드Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little Data
https://github.com/avalab-gt/ctbls
공식 코드cTBLS: Augmenting Large Language Models with Conversational Tables
https://github.com/avinashsai/slot-gpt
공식 코드A Unified Framework for Slot based Response Generation in a Multimodal Dialogue System
https://github.com/bai-lab/emotionalrag
공식 코드Emotional RAG: Enhancing Role-Playing Agents through Emotional Retrieval
https://github.com/bat-reality/ddrcu
공식 코드Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation
https://github.com/biaobiao12138/mscrs-main
공식 코드MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems
https://github.com/bigdata-ustc/agent4edu
공식 코드Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
https://github.com/bryanwilie/pick
공식 코드PICK: Polished & Informed Candidate Scoring for Knowledge-Grounded Dialogue Systems
https://github.com/bsantraigi/HIER
공식 코드https://github.com/bsantraigi/hier-transformer-pytorch
공식 코드https://github.com/budzianowski/multiwoz
공식 코드Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention
https://github.com/buptwululu/fg-rag
공식 코드FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG
https://github.com/butterfliesss/EmpRL
공식 코드Empathy Level Alignment via Reinforcement Learning for Empathetic Response Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.