Papers with Code 아카이브
Dialogue
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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Dialogue is notoriously hard to evaluate. Past approaches have used human evaluation.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hkust-knowcomp/vd-pcr
공식 코드VD-PCR: Improving Visual Dialog with Pronoun Coreference Resolution
https://github.com/hlt-mt/speech-massive
공식 코드Speech-MASSIVE: A Multilingual Speech Dataset for SLU and Beyond
https://github.com/hmc-cs-mdrissi/fairseq
공식 코드https://github.com/hoanganhpham1006/cost
공식 코드Video Dialog as Conversation about Objects Living in Space-Time
https://github.com/holi-lab/tooldial
공식 코드ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models
https://github.com/hongyuanluke/pcc
공식 코드PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation
https://github.com/hqsiswiliam/SPT
공식 코드Selective Prompting Tuning for Personalized Conversations with LLMs
https://github.com/hqsiswiliam/lapdog
공식 코드Learning Retrieval Augmentation for Personalized Dialogue Generation
https://github.com/hqsiswiliam/persona-adaptive-attention
공식 코드Personalized Dialogue Generation with Persona-Adaptive Attention
https://github.com/huawei-noah/Pretrained-Language-Model
공식 코드PanGu-Bot: Efficient Generative Dialogue Pre-training from Pre-trained Language Model
https://github.com/huawei-noah/noah-research
공식 코드Topic-Aware Response Generation in Task-Oriented Dialogue with Unstructured Knowledge Access
https://github.com/huawei-noah/noah-research/tree/master/conv_graph
공식 코드https://github.com/huybery/r2sql
공식 코드Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing
https://github.com/hyintell/al-dst
공식 코드https://github.com/hyperconnect/sem-ent
공식 코드Measuring and Improving Semantic Diversity of Dialogue Generation
https://github.com/i-need-sleep/mmcoref_cleaned
공식 코드UNITER-Based Situated Coreference Resolution with Rich Multimodal Input
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/ictnlp/DialoFlow
공식 코드Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances
https://github.com/idansc/fga
공식 코드https://github.com/idansc/mrr-ndcg
공식 코드https://github.com/idiap/atco2-corpus
공식 코드https://github.com/idiap/sdialog
공식 코드SDialog: A Python Toolkit for Synthetic Dialogue Generation and Analysis
https://github.com/idiap/slu_representations
공식 코드https://github.com/idiap/translation-aided-slu
공식 코드https://github.com/importpandas/mivs_birgat
공식 코드A BiRGAT Model for Multi-intent Spoken Language Understanding with Hierarchical Semantic Frames
https://github.com/inimah/metric-preference-checklist
공식 코드NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist
https://github.com/innodatalabs/innodata-llm-safety
공식 코드https://github.com/isekulic/usi
공식 코드Evaluating Mixed-initiative Conversational Search Systems via User Simulation
https://github.com/itaigat/perceptual-score
공식 코드Perceptual Score: What Data Modalities Does Your Model Perceive?
https://github.com/iwangjian/color4dial
공식 코드Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue
https://github.com/iwangjian/midi-tuning
공식 코드Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue
https://github.com/iwangjian/plan4recdial
공식 코드Follow Me: Conversation Planning for Target-driven Recommendation Dialogue Systems
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