Foundation Models

Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model CVPR 2024 Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization ICLR 2024 Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks EMNLP 2024 Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models NAACL 2024 Paraphrase Types Elicit Prompt Engineering Capabilities EMNLP 2024 ParlaMint Widened: a European Dataset of Freedom of Information Act Documents (Position Paper) COLING 2024 Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models ICML 2024 PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology AAAI 2024 Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers EMNLP 2024 PECC: Problem Extraction and Coding Challenges COLING 2024 Pedagogical Alignment of Large Language Models EMNLP 2024 PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning ACL 2024 Penetrative AI: Making LLMs Comprehend the Physical World ACL 2024 PepRec: Progressive Enhancement of Prompting for Recommendation EMNLP 2024 Perplexity-aware Correction for Robust Alignment with Noisy Preferences NeurIPS 2024 Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models NeurIPS 2024 Personalized Jargon Identification for Enhanced Interdisciplinary Communication NAACL 2024 Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization NeurIPS 2024 Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling NeurIPS 2024 Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models NAACL 2024 PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs NeurIPS 2024 PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs ACL 2024 PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs ICML 2024 Planning First, Question Second: An LLM-Guided Method for Controllable Question Generation ACL 2024 Plug-in Language Model: Controlling Text Generation with a Simple Regression Model NAACL 2024