in-context learning

Transformer verbatim in-context retrieval across time and scale CoNLL 2024 Tree of Problems: Improving structured problem solving with compositionality EMNLP 2024 TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives NeurIPS 2024 TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks NeurIPS 2024 Tutor-ICL: Guiding Large Language Models for Improved In-Context Learning Performance EMNLP 2024 Two-stage LLM Fine-tuning with Less Specialization and More Generalization ICLR 2024 Tyche: Stochastic In-Context Learning for Medical Image Segmentation CVPR 2024 Uncertainty Quantification for In-Context Learning of Large Language Models NAACL 2024 Understanding Catastrophic Forgetting in Language Models via Implicit Inference ICLR 2024 Understanding In-Context Learning from Repetitions ICLR 2024 Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions ICLR 2024 Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction NAACL 2024 UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner NeurIPS 2024 UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation NeurIPS 2024 Unified Human-Scene Interaction via Prompted Chain-of-Contacts ICLR 2024 Unifying Image Processing as Visual Prompting Question Answering ICML 2024 Universal In-Context Approximation By Prompting Fully Recurrent Models NeurIPS 2024 Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024 Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation NeurIPS 2024 Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting EMNLP 2024 Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction COLING 2024 Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought NeurIPS 2024 Unsupervised Human Preference Learning EMNLP 2024 Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism EMNLP 2024 Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers NeurIPS 2024