Models

Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding EMNLP 2023 Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark ACL 2023 A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods NeurIPS 2023 Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models ICML 2023 ARO-Net: Learning Implicit Fields From Anchored Radial Observations CVPR 2023 ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections NeurIPS 2023 ARTree: A Deep Autoregressive Model for Phylogenetic Inference NeurIPS 2023 A scalable Walsh-Hadamard regularizer to overcome the low-degree spectral bias of neural networks UAI 2023 A Self-Attention Ansatz for Ab-initio Quantum Chemistry ICLR 2023 A Self-training Framework for Automated Medical Report Generation EMNLP 2023 A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness JMLR 2023 A Simple, Yet Effective Approach to Finding Biases in Code Generation ACL 2023 A Simple yet Efficient Ensemble Approach for AI-generated Text Detection EMNLP 2023 Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models ACL 2023 Asking Questions: an Innovative Way to Interact with Oral History Archives Interspeech 2023 Ask Language Model to Clean Your Noisy Translation Data EMNLP 2023 ASPIRO: Any-shot Structured Parsing-error-Induced ReprOmpting for Consistent Data-to-Text Generation EMNLP 2023 Assessing the efficacy of large language models in generating accurate teacher responses ACL 2023 A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding EMNLP 2023 A Survey of Deep Learning for Mathematical Reasoning ACL 2023 A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence NeurIPS 2023 A Targeted Accuracy Diagnostic for Variational Approximations AISTATS 2023 AT-DDPM: Restoring Faces Degraded by Atmospheric Turbulence Using Denoising Diffusion Probabilistic Models WACV 2023 A Theoretical Framework for Inference and Learning in Predictive Coding Networks ICLR 2023 A theory of continuous generative flow networks ICML 2023