Research graph
References from Instruction-Guided Distribution Maximization for General Few-Shot Intent Recognition. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1016/j.patcog.2024.110641
10.1016/j.patcog.2024.110641 · External reference
10.1016/j.inffus.2025.102933
10.1016/j.inffus.2025.102933 · External reference
10.1016/j.ipm.2026.104781
10.1016/j.ipm.2026.104781 · External reference
10.1145/3700875
10.1145/3700875 · External reference
10.1609/aaai.v39i17.33946
10.1609/aaai.v39i17.33946 · External reference
10.1016/j.neucom.2025.129554
10.1016/j.neucom.2025.129554 · External reference
QAID: Question answering inspired few-shot intent detection
2023 · External reference
10.18653/v1/2024.findings-emnlp.140
10.18653/v1/2024.findings-emnlp.140 · External reference
10.18653/v1/2021.findings-emnlp.96
10.18653/v1/2021.findings-emnlp.96 · External reference
10.18653/v1/2021.emnlp-main.144
10.18653/v1/2021.emnlp-main.144 · External reference
10.3115/116580.116613
10.3115/116580.116613 · External reference
Snips voice platform: An embedded spoken language understanding system for private-by-design voice interfaces
2018 · External reference
10.18653/v1/2020.nlp4convai-1.5
10.18653/v1/2020.nlp4convai-1.5 · External reference
Using optimal embeddings to learn new intents with few examples: An application in the insurance domain
2020 · External reference
10.18653/v1/2020.insights-1.16
10.18653/v1/2020.insights-1.16 · External reference
Cross-lingual transfer learning for intent detection of Covid-19 utterances
2020 · External reference
10.18653/v1/2021.naacl-main.197
10.18653/v1/2021.naacl-main.197 · External reference
Visualizing data using t-SNE
2008 · External reference
10.1109/tpami.2024.3492328
10.1109/tpami.2024.3492328 · External reference
10.18653/v1/2024.acl-long.495
10.18653/v1/2024.acl-long.495 · External reference
10.1609/aaai.v39i17.33995
10.1609/aaai.v39i17.33995 · External reference
10.18653/v1/2023.findings-acl.556
10.18653/v1/2023.findings-acl.556 · External reference
10.1016/j.engappai.2023.107387
10.1016/j.engappai.2023.107387 · External reference
10.1016/j.bspc.2025.107910
10.1016/j.bspc.2025.107910 · External reference
10.1109/tgrs.2024.3506927
10.1109/tgrs.2024.3506927 · External reference
10.18653/v1/2024.findings-acl.605
10.18653/v1/2024.findings-acl.605 · External reference
10.1109/tpami.2025.3571946
10.1109/tpami.2025.3571946 · External reference
10.1016/j.inffus.2025.103544
10.1016/j.inffus.2025.103544 · External reference
10.18653/v1/2025.acl-long.967
10.18653/v1/2025.acl-long.967 · External reference
10.18653/v1/2023.findings-acl.706
10.18653/v1/2023.findings-acl.706 · External reference
10.1609/aaai.v35i14.17541
10.1609/aaai.v35i14.17541 · External reference
10.18653/v1/2023.acl-long.480
10.18653/v1/2023.acl-long.480 · External reference
10.63317/585yucni32u5
10.63317/585yucni32u5 · External reference
10.63317/54n6s5mgr4np
10.63317/54n6s5mgr4np · External reference
10.63317/2a8fmobii6p7
10.63317/2a8fmobii6p7 · External reference
10.1109/tpami.2025.3573237
10.1109/tpami.2025.3573237 · External reference
Certifying some distributional robustness with principled adversarial training
2018 · External reference
Adversarial training methods for semi-supervised text classification
2017 · External reference
10.48550/arxiv.1706.06083
10.48550/arxiv.1706.06083 · External reference
10.52202/079017-0048
10.52202/079017-0048 · External reference
Understanding and improving continuous LLM adversarial training via in-context learning theory
2026 · External reference
10.18653/v1/2024.findings-acl.221
10.18653/v1/2024.findings-acl.221 · External reference
10.1515/9781400831050
10.1515/9781400831050 · External reference
On large-batch training for deep learning: Generalization gap and sharp minima
2017 · External reference
10.1023/a:1007618624809
10.1023/a:1007618624809 · External reference
10.18653/v1/2025.findings-acl.574
10.18653/v1/2025.findings-acl.574 · External reference
10.18653/v1/d19-1131
10.18653/v1/d19-1131 · External reference
10.18653/v1/n19-1380
10.18653/v1/n19-1380 · External reference
10.1007/978-981-15-9323-9_15
10.1007/978-981-15-9323-9_15 · External reference
10.1007/978-3-030-58323-1_51
10.1007/978-3-030-58323-1_51 · External reference
10.18653/v1/2021.eacl-main.257
10.18653/v1/2021.eacl-main.257 · External reference
10.18653/v1/2022.sigdial-1.45
10.18653/v1/2022.sigdial-1.45 · External reference
10.18653/v1/2020.emnlp-main.588
10.18653/v1/2020.emnlp-main.588 · External reference
10.18653/v1/w17-5522
10.18653/v1/w17-5522 · External reference
10.3115/v1/w15-1509
10.3115/v1/w15-1509 · External reference
10.18653/v1/d18-1300
10.18653/v1/d18-1300 · External reference
10.18653/v1/2020.emnlp-main.413
10.18653/v1/2020.emnlp-main.413 · External reference
10.63317/2ixggrdpuj7c
10.63317/2ixggrdpuj7c · External reference
10.18653/v1/2022.findings-naacl.154
10.18653/v1/2022.findings-naacl.154 · External reference
10.18653/v1/w17-5506
10.18653/v1/w17-5506 · External reference
Dialog state tracking challenge handbook
2012 · External reference
10.52202/075280-0441
10.52202/075280-0441 · External reference
Decoupled weight decay regularization
2019 · External reference
10.1109/tsmc.1971.4308316
10.1109/tsmc.1971.4308316 · External reference
FreeLB: Enhanced adversarial training for natural language understanding
2020 · External reference
SWAD: Domain generalization by seeking flat minima
External reference
