Application Areas

Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies EACL 2023 Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models ACL 2023 Retrieval-Generation Alignment for End-to-End Task-Oriented Dialogue System EMNLP 2023 Retrieve and Copy: Scaling ASR Personalization to Large Catalogs EMNLP 2023 Retrieving Multimodal Prompts for Generative Visual Question Answering ACL 2023 Reusing Pretrained Models by Multi-linear Operators for Efficient Training NeurIPS 2023 Revealing the unseen: Benchmarking video action recognition under occlusion NeurIPS 2023 Revealing Weaknesses of Vietnamese Language Models Through Unanswerable Questions in Machine Reading Comprehension EACL 2023 Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images MIDL 2023 Reversible Neural Networks for Memory-Efficient Speaker Verification Interspeech 2023 Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness NeurIPS 2023 Revisiting and Amending Central Kurdish Data on UniMorph 4.0 ACL 2023 Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference? EMNLP 2023 Revisiting Data-Free Knowledge Distillation with Poisoned Teachers ICML 2023 Revisiting De-Identification of Electronic Medical Records: Evaluation of Within- and Cross-Hospital Generalization EMNLP 2023 Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling ICCV 2023 Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization ICML 2023 Revisiting Fair-PAC Learning and the Axioms of Cardinal Welfare AISTATS 2023 Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective EACL 2023 Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective AAAI 2023 Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models EACL 2023 Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations NeurIPS 2023 Revisiting Pathologies of Neural Models under Input Reduction ACL 2023 Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring CVPR 2023 Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond ACL 2023