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Fine-Tuning

487 directly classified papers

Papers per year

Papers

PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning EMNLP 2024
In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models EMNLP 2024
CoCoHD: Congress Committee Hearing Dataset EMNLP 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning NIPS 2024
Incorporating Word Count Information into Depression Risk Summary Generation: INF@UoS CLPsych 2024 Submission EACL 2024
Automatic Transcription of Grammaticality Judgements for Language Documentation EACL 2024
Modeling Moravian Memoirs: Ternary Sentiment Analysis in a Low Resource Setting EACL 2024
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching NIPS 2024
Donkii: Characterizing and Detecting Errors in Instruction-Tuning Datasets EACL 2024
CEN_Amrita@LT-EDI 2024: A Transformer based Speech Recognition System for Vulnerable Individuals in Tamil EACL 2024
Aligning to Thousands of Preferences via System Message Generalization NIPS 2024
Instruction Tuning With Loss Over Instructions NIPS 2024
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling NIPS 2024
Co-occurrence is not Factual Association in Language Models NIPS 2024
DRAVIDIAN LANGUAGE@ LT-EDI 2024:Pretrained Transformer based Automatic Speech Recognition system for Elderly People EACL 2024
TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks IJCAI 2024
Why academia should cut back general enthusiasm about CAs EACL 2024
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains EMNLP 2024
ReFT: Representation Finetuning for Language Models NIPS 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization NIPS 2024
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe NIPS 2024
Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities EMNLP 2024
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models NIPS 2024
Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns AAAI 2024
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses NIPS 2024