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Taiwan-LLM
Traditional Mandarin LLMs for TaiwanTC-Bot
User Simulation for Task-Completion DialoguesSlotGated-SLU
Slot-Gated Modeling for Joint Slot Filling and Intent PredictionKB-InfoBot
A dialogue bot for information accessDDQ
Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy LearningDuaLUG
The implementation of the papers on dual learning of natural language understanding and generation. (ACL2019,2020; Findings of EMNLP 2020)PLM-ICD
PLM-ICD: Automatic ICD Coding with Pretrained Language ModelsDialSum
Dialogue SummarizationE2EMathSolver
Implementation of NAACL 2019 paper "Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problem"PersonaLLM-Survey
SalesBot
Transitioning from Open-Domain Chit-Chat to Task-Oriented DialoguesFlowDelta
FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine ComprehensionHNLG
Natural Language Generation by Hierarchical Decoding with Linguistic Patterns (NAACL-HLT 2018), Investigating Linguistic Pattern Ordering in Hierarchical Natural Language Generation (SLT 2018)TaylorGAN
MUSE
Modularizing Unsupervised Sense EmbeddingD3Q
Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy LearningSpokenVec
Learning ASR-Robust Contextualized Embeddings for Spoken Language UnderstandingQAInfomax
Time-Decay-SLU
How Time Matters: Learning Time-Decay Attention for Contextual Spoken Language Understanding in DialogueLattice-ELMo
Source code for ACL 2020 paper "Learning Spoken Language Representations with Neural Lattice Language Modeling"Spk-Dialogue
Speaker Role Contextual Model for DialoguesPE-Study
Study of Pre-Trained Positional EmbeddingsPairDistill
Source code of our paper "PairDistill: Pairwise Relevance Distillation for Dense Retrieval", EMNLP 2024 Main.Time-SLU
Dynamic Time-Aware Attention to Speaker Roles and Contexts for Spoken Language UnderstandingSalesAgent
SalesBot 2.0Lattice-Transformer-SLU
Source code for ASRU 2019 paper "Adapting Pretrained Transformer to Lattices for Spoken Language Understanding"LLM-Eval
GenDef
Probing task; contextual embeddings -> textual definitions (EMNLP19)SpokenCSE
Contrastive Learning for Improving ASR Robustness in Spoken Language UnderstandingFastMTL
Efficient Multi-Task Auxiliary LearningCONVERSER
CONVERSER: Few-Shot Conversational Dense Retrieval with Synthetic Data Generation, SIGDIAL 2023ZeroShotRationale
Zero-Shot Rationalization by Multi-Task Transfer Learning from Question AnsweringE2EDialog
CLUSE
Cross-Lingual Unsupervised Sense Embeddingsweb-speech-api-demo
Web Speech API demoSynData-Survey
DialogDQN-Variants
ICD-Correlation
Source code for our NAACL 2021 paper "Modeling Diagnostic Label Correlation for Automatic ICD Coding".CQA-Study
LION-Net
LIghtweight ONtology-independent Networks for Schema-Guided Dialogue State GenerationRCT-Gen
Generating RCT ConclusionTREND
TREND: Trigger-Enhanced Relation Extraction Network for DialoguesMVAE_Music
Modularized Variational Auto-EncoderFactAlign
Source code of our EMNLP 2024 paper "FactAlign: Long-form Factuality Alignment of Large Language Models"CUDA-DST
Controllable User Dialogue Act Augmentation for Dialogue State TrackEditLLM-Survey
BCWS
Bilingual Contextual Word Similarity (English-Chinese)GenIR-Survey
UMR
Source code of our paper "Unsupervised Multilingual Dense Retrieval via Generative Pseudo Labeling", Findings of EACL 2024.LLMEval-Survey
InstUPR
Source code of our paper "InstUPR: Instruction-based Unsupervised Passage Reranking with Large Language Models"TMLU
Taiwanese Mandarin Language ModelingVisualDialog
Visualizing Dialogues: Enhancing Image Selection through Dialogue Understanding with Large Language ModelsImplicitBot
Zero-Shot Prompting for Implicit Intent Prediction and Recommendation with Commonsense ReasoningVisualLU
Visually-Enhanced Language UnderstandingxSense
Explainable Sense Word EmbeddingsUnseenDRE
Zero-Shot Dialogue Relation Extraction by Relating Explainable Triggers and Relation NamesASMR
Augmenting Life Scenario using Large Generative Models for Robotic Action ReflectionLove Open Source and this site? Check out how you can help us