Fine-Tuning

LIONs: An Empirically Optimized Approach to Align Language Models EMNLP 2024 LlamaCare: An Instruction Fine-Tuned Large Language Model for Clinical NLP COLING 2024 LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models EMNLP 2024 MAmmoTH2: Scaling Instructions from the Web NeurIPS 2024 MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs ACL 2024 MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models NeurIPS 2024 MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents EMNLP 2024 Model Fusion through Bayesian Optimization in Language Model Fine-Tuning NeurIPS 2024 Modeling Moravian Memoirs: Ternary Sentiment Analysis in a Low Resource Setting EACL 2024 Multi-language Diversity Benefits Autoformalization NeurIPS 2024 MUSCLE: A Model Update Strategy for Compatible LLM Evolution EMNLP 2024 “My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models ACL 2024 Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models NeurIPS 2024 Nebula: A discourse aware Minecraft Builder EMNLP 2024 NLPDame at ClimateActivism 2024: Mistral Sequence Classification with PEFT for Hate Speech, Targets and Stance Event Detection EACL 2024 NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data EMNLP 2024 Online Iterative Reinforcement Learning from Human Feedback with General Preference Model NeurIPS 2024 On the Effects of Data Scale on UI Control Agents NeurIPS 2024 On the Vulnerability of Safety Alignment in Open-Access LLMs ACL 2024 ORPO: Monolithic Preference Optimization without Reference Model EMNLP 2024 PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization NeurIPS 2024 Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning NeurIPS 2024 Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization NeurIPS 2024 P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains EMNLP 2024 PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning EMNLP 2024