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Fine-Tuning

1,117 papers

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Papers

Fraunhofer SIT at WASSA 2024 Empathy and Personality Shared Task: Use of Sentiment Transformers and Data Augmentation With Fuzzy Labels to Predict Emotional Reactions in Conversations and Essays ACL 2024 FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition CVPR 2024 From Role-Play to Drama-Interaction: An LLM Solution ACL 2024 Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research EMNLP 2024 Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs ICLR 2024 GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network ACL 2024 Gradient-based Parameter Selection for Efficient Fine-Tuning CVPR 2024 Group and Shuffle: Efficient Structured Orthogonal Parametrization NeurIPS 2024 HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy EMNLP 2024 High-fidelity Person-centric Subject-to-Image Synthesis CVPR 2024 Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation NeurIPS 2024 Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models NeurIPS 2024 How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data EMNLP 2024 How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective EMNLP 2024 HW-TSC’s Participation in the WMT 2024 QEAPE Task EMNLP 2024 IAPT: Instance-Aware Prompt Tuning for Large Language Models ACL 2024 IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus ACL 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 I love pineapple on pizza != I hate pineapple on pizza: Stance-Aware Sentence Transformers for Opinion Mining EMNLP 2024 Improved Visual Grounding through Self-Consistent Explanations CVPR 2024 Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning Approach EMNLP 2024 I’m sure you’re a real scholar yourself: Exploring Ironic Content Generation by Large Language Models EMNLP 2024 “In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning EMNLP 2024 Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes EMNLP 2024 Injecting Salesperson’s Dialogue Strategies in Large Language Models with Chain-of-Thought Reasoning ACL 2024