Foundation Models

Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning NeurIPS 2023 Reproducibility of Training Deep Learning Models for Medical Image Analysis MIDL 2023 ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting NeurIPS 2023 Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty EMNLP 2023 Retrieving Multimodal Information for Augmented Generation: A Survey EMNLP 2023 Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications EMNLP 2023 RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering ACL 2023 RIGA at SemEval-2023 Task 2: NER Enhanced with GPT-3 SemEval 2023 RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization NeurIPS 2023 Robust Code Summarization EMNLP 2023 Robustness of Named-Entity Replacements for In-Context Learning EMNLP 2023 Roles of Scaling and Instruction Tuning in Language Perception: Model vs. Human Attention EMNLP 2023 RRHF: Rank Responses to Align Language Models with Human Feedback NeurIPS 2023 Rumour Detection in the Wild: A Browser Extension for Twitter EMNLP 2023 SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency EMNLP 2023 SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning CoRL 2023 Scalable Coupling of Deep Learning with Logical Reasoning IJCAI 2023 Scalable Transformer for PDE Surrogate Modeling NeurIPS 2023 Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology MLHC 2023 Scaling in Cognitive Modelling: a Multilingual Approach to Human Reading Times ACL 2023 Scaling Up Models and Data with t5x and seqio JMLR 2023 Scattering Vision Transformer: Spectral Mixing Matters NeurIPS 2023 SegGPT: Towards Segmenting Everything in Context ICCV 2023 Segment Any Point Cloud Sequences by Distilling Vision Foundation Models NeurIPS 2023 Segment Anything ICCV 2023