Fine-Tuning
1,117 papers
Papers per year
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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