Fine-Tuning

Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice? EMNLP 2024 Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs EMNLP 2024 Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models ACL 2024 Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models ACL 2024 Gradient Rewiring for Editable Graph Neural Network Training NeurIPS 2024 HW-TSC at SemEval-2024 Task 9: Exploring Prompt Engineering Strategies for Brain Teaser Puzzles Through LLMs SemEval 2024 HW-TSC’s Participation in the WMT 2024 QEAPE Task EMNLP 2024 I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses EMNLP 2024 Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems NeurIPS 2024 Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint ACL 2024 Improving the Robustness of Large Language Models via Consistency Alignment COLING 2024 In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models EMNLP 2024 Incorporating Word Count Information into Depression Risk Summary Generation: INF@UoS CLPsych 2024 Submission EACL 2024 “In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning EMNLP 2024 Instruction Fusion: Advancing Prompt Evolution through Hybridization ACL 2024 Instruction Tuning With Loss Over Instructions NeurIPS 2024 Irish-based Large Language Model with Extreme Low-Resource Settings in Machine Translation ACL 2024 Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing EMNLP 2024 KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction EMNLP 2024 Knowledge Composition using Task Vectors with Learned Anisotropic Scaling NeurIPS 2024 Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment ACL 2024 Learning or Self-aligning? Rethinking Instruction Fine-tuning ACL 2024 Learning to Correct for QA Reasoning with Black-box LLMs EMNLP 2024 Learning to Generate Answers with Citations via Factual Consistency Models ACL 2024 Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models EMNLP 2024