Papers with Code 아카이브

Intent Recognition

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보존된 평가 기록

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/AlibabaResearch/DAMO-ConvAI/tree/main/pace

공식 코드

PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts

https://github.com/AshishMittal/RMLIntent

공식 코드

Representation based meta-learning for few-shot spoken intent recognition

https://github.com/DFKI-NLP/CoXQL

공식 코드

CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems

https://github.com/PragmaticsLab/CodeSwitchingAdversarial

공식 코드

Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU Models

https://github.com/alibabaresearch/damo-convai

공식 코드

Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment

https://github.com/andreamad8/ToDCL

공식 코드

Continual Learning in Task-Oriented Dialogue Systems

https://github.com/dandelin/vilt

공식 코드

ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision

https://github.com/dfki-nlp/llmcheckup

공식 코드

LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations

https://github.com/google-research/ALBERT

공식 코드

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

https://github.com/google-research/bert

공식 코드

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/jianguoz/Few-Shot-Intent-Detection

공식 코드

Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection

https://github.com/mainlp/dialect-tod-robustness

공식 코드

Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties

https://github.com/nlp-rl/mmcsg

공식 코드

Yes, this is what I was looking for! Towards Multi-modal Medical Consultation Concern Summary Generation

https://github.com/petrLorenc/benchmark-intent-tools

공식 코드

Do We Need Online NLU Tools?

https://github.com/songxiaoshuai/CGID

공식 코드

Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition

https://github.com/stoyian/OCaTS

공식 코드

Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models

https://github.com/thomasmong/llm-power-scheduling

공식 코드

Large Language Models for Power Scheduling: A User-Centric Approach

https://github.com/thuiar/TCL-MAP

공식 코드

Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition

https://github.com/thuiar/mintrec

공식 코드

MIntRec: A New Dataset for Multimodal Intent Recognition

https://github.com/thuiar/mintrec2.0

공식 코드

MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations

https://github.com/thuiar/textoir

공식 코드

TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition

https://github.com/thuiar/textoir-demo

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TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition

https://github.com/tmllab/2025_ICLR_PiF

공식 코드

Understanding and Enhancing the Transferability of Jailbreaking Attacks

https://github.com/victorsungo/mmdialog

공식 코드

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation

https://github.com/zhang-yu-wei/mtp-clnn

공식 코드

New Intent Discovery with Pre-training and Contrastive Learning

https://github.com/1wy/bert

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/2023-MindSpore-1/ms-code-11

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/2023-MindSpore-1/ms-code-12

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/2023-MindSpore-1/ms-code-150

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/2023-MindSpore-1/ms-code-164

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

https://github.com/2023-MindSpore-1/ms-code-219/tree/main/albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

https://github.com/2023-MindSpore-1/ms-code-56

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/2023-MindSpore-4/Code12/tree/main/MindFormers/bert

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/2023-MindSpore-4/Code12/tree/main/MindFormers/t5

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

https://github.com/2024-MindSpore-1/Code3/tree/main/scBERT

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/2miatran/Natural-Language-Processing

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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