| Training Compute-Optimal Large Language Models | Mar 29, 2022 | AnachronismsAnalogical Similarity | CodeCode Available | 6 | 5 |
| Scaling Language Models: Methods, Analysis & Insights from Training Gopher | Dec 8, 2021 | Abstract AlgebraAnachronisms | CodeCode Available | 2 | 5 |
| MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations | Mar 16, 2024 | Intent RecognitionMultimodal Intent Recognition | CodeCode Available | 2 | 5 |
| MIntRec: A New Dataset for Multimodal Intent Recognition | Sep 9, 2022 | Intent RecognitionMultimodal Intent Recognition | CodeCode Available | 1 | 5 |
| LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations | Jan 23, 2024 | counterfactualFact Checking | CodeCode Available | 1 | 5 |
| New Intent Discovery with Pre-training and Contrastive Learning | May 25, 2022 | ClusteringContrastive Learning | CodeCode Available | 1 | 5 |
| Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models | Oct 20, 2023 | Intent DetectionIntent Recognition | CodeCode Available | 1 | 5 |
| Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection | Jun 8, 2021 | intent-classificationIntent Classification | CodeCode Available | 1 | 5 |
| Continual Learning in Task-Oriented Dialogue Systems | Dec 31, 2020 | Continual LearningIntent Recognition | CodeCode Available | 1 | 5 |
| Large Language Models for Power Scheduling: A User-Centric Approach | Jun 29, 2024 | Intent RecognitionPrompt Engineering | CodeCode Available | 1 | 5 |
