Few-Shot Learning

TMU-HIT’s Submission for the WMT24 Quality Estimation Shared Task: Is GPT-4 a Good Evaluator for Machine Translation? EMNLP 2024 TOOLVERIFIER: Generalization to New Tools via Self-Verification EMNLP 2024 Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning ICLR 2024 Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation COLING 2024 Towards Fine-Grained Pedagogical Control over English Grammar Complexity in Educational Text Generation NAACL 2024 Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents COLING 2024 Towards Low-Resource Harmful Meme Detection with LMM Agents EMNLP 2024 Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning ACL 2024 Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models EMNLP 2024 TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks NeurIPS 2024 Tree of Problems: Improving structured problem solving with compositionality EMNLP 2024 TrojFSP: Trojan Insertion in Few-shot Prompt Tuning NAACL 2024 TROPE: TRaining-Free Object-Part Enhancement for Seamlessly Improving Fine-Grained Zero-Shot Image Captioning EMNLP 2024 Tutor-ICL: Guiding Large Language Models for Improved In-Context Learning Performance EMNLP 2024 Tyche: Stochastic In-Context Learning for Medical Image Segmentation CVPR 2024 UMUTeam at SemEval-2024 Task 10: Discovering and Reasoning about Emotions in Conversation using Transformers SemEval 2024 Uncertainty Quantification for In-Context Learning of Large Language Models NAACL 2024 UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations NAACL 2024 UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning AAAI 2024 UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner NeurIPS 2024 UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation EMNLP 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 Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction COLING 2024 Using In-context Learning to Automate AI Image Generation for a Gamified Text Labelling Task COLING 2024