https://github.com/ppartha03/Dialogue-Compositionality-of-Generative-Transformer
공식 코드On Task-Level Dialogue Composition of Generative Transformer Model
Papers with Code 아카이브
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/prakharguptaz/EDGE-exemplars
공식 코드https://github.com/qinlang14/gate
공식 코드Well Begun is Half Done: Generator-agnostic Knowledge Pre-Selection for Knowledge-Grounded Dialogue
https://github.com/qinyu-allen-zhao/lvlm-lp
공식 코드The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?
https://github.com/qkaren/converse_reading_cmr
공식 코드Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading
https://github.com/quchangle1/llm-tool-survey
공식 코드https://github.com/question406/learningtofocus
공식 코드Controlling the Focus of Pretrained Language Generation Models
https://github.com/raja-kumar/knowledge-grounded-tods
공식 코드Task Oriented Conversational Modelling With Subjective Knowledge
https://github.com/reml-group/deliberation-on-priors
공식 코드Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs
https://github.com/ricsinaruto/NeuralChatbots-DataFiltering
공식 코드Improving Neural Conversational Models with Entropy-Based Data Filtering
https://github.com/ricsinaruto/dialog-eval
공식 코드Improving Neural Conversational Models with Entropy-Based Data Filtering
https://github.com/rishabhjoshi/DialoGraph_ICLR21
공식 코드DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
https://github.com/ruc-nlpir/genir-survey
공식 코드From Matching to Generation: A Survey on Generative Information Retrieval
https://github.com/ruizheliUOA/TWR-VAE
공식 코드Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
https://github.com/run-llama/llama_index
공식 코드https://github.com/russellliu0/rad
공식 코드https://github.com/ryanzhumich/editsql
공식 코드https://github.com/s1s-z/canoe
공식 코드https://github.com/salesforce/dialog-flow-extraction
공식 코드Structure Extraction in Task-Oriented Dialogues with Slot Clustering
https://github.com/salesforce/simpletod
공식 코드https://github.com/sam-rag/sam_rag
공식 코드https://github.com/sauc-abadal/alt
공식 코드https://github.com/sb-jang/timelychat
공식 코드From What to Respond to When to Respond: Timely Response Generation for Open-domain Dialogue Agents
https://github.com/sfillwo/DialCS-Reasoning
공식 코드Leveraging Explicit Reasoning for Inference Integration in Commonsense-Augmented Dialogue Models
https://github.com/shentao-yang/fantastic_reward_iclr2023
공식 코드https://github.com/shenwzh3/mk-tod
공식 코드Retrieval-Generation Alignment for End-to-End Task-Oriented Dialogue System
https://github.com/shiki-sato/nbest-contradiction-analysis
공식 코드N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models
https://github.com/shrimai/Focused-Attention-Improves-Document-Grounded-Generation
공식 코드https://github.com/shubhamagarwal92/mmd
공식 코드A Knowledge-Grounded Multimodal Search-Based Conversational Agent
https://github.com/siat-nlp/TransDG
공식 코드Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering
https://github.com/sihengli99/newsdialogues
공식 코드https://github.com/silin159/comfact
공식 코드ComFact: A Benchmark for Linking Contextual Commonsense Knowledge
https://github.com/sislab-unitn/fine-tune-or-rag
공식 코드Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue
https://github.com/sksmssh/lbcforoovgen
공식 코드LBC: Language-Based-Classifier for Out-Of-Variable Generalization
https://github.com/skywalker023/focused-empathy
공식 코드Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes
https://github.com/skywalker023/prosocial-dialog
공식 코드ProsocialDialog: A Prosocial Backbone for Conversational Agents
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.