Fine-Tuning

CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues EMNLP 2024 Capturing Minds, Not Just Words: Enhancing Role-Playing Language Models with Personality-Indicative Data EMNLP 2024 CharacterGLM: Customizing Social Characters with Large Language Models EMNLP 2024 CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses NeurIPS 2024 C-LLM: Learn to Check Chinese Spelling Errors Character by Character EMNLP 2024 CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models ACL 2024 CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation EMNLP 2024 CoLLaVO: Crayon Large Language and Vision mOdel ACL 2024 CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching NeurIPS 2024 CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions EMNLP 2024 Compositional Inversion for Stable Diffusion Models AAAI 2024 ConstitutionalExperts: Training a Mixture of Principle-based Prompts ACL 2024 Contrastive Instruction Tuning ACL 2024 Course-Correction: Safety Alignment Using Synthetic Preferences EMNLP 2024 Cross-Modal Projection in Multimodal LLMs Doesn’t Really Project Visual Attributes to Textual Space ACL 2024 Cross-model Control: Improving Multiple Large Language Models in One-time Training NeurIPS 2024 CultureLLM: Incorporating Cultural Differences into Large Language Models NeurIPS 2024 Demystifying Instruction Mixing for Fine-tuning Large Language Models ACL 2024 Depth Prompting for Sensor-Agnostic Depth Estimation CVPR 2024 Difficult for Whom? A Study of Japanese Lexical Complexity EMNLP 2024 Direct Preference Optimization with an Offset ACL 2024 Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction ACL 2024 Does Few-Shot Learning Suffer from Backdoor Attacks? AAAI 2024 Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? EMNLP 2024 Domain Prompt Learning with Quaternion Networks CVPR 2024