Fine-Tuning

Reverse-Engineering the Reader EMNLP 2024 RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models ACL 2024 Robust ASR Error Correction with Conservative Data Filtering EMNLP 2024 RoQLlama: A Lightweight Romanian Adapted Language Model EMNLP 2024 S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity NeurIPS 2024 SA²VP: Spatially Aligned-and-Adapted Visual Prompt AAAI 2024 SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction AAAI 2024 Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs EMNLP 2024 Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach EMNLP 2024 SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation CVPR 2024 SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials Science EMNLP 2024 Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation EMNLP 2024 Self-Specialization: Uncovering Latent Expertise within Large Language Models ACL 2024 Semantic are Beacons: A Semantic Perspective for Unveiling Parameter-Efficient Fine-Tuning in Knowledge Learning ACL 2024 SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning ACL 2024 Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair EMNLP 2024 Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation EMNLP 2024 Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector EMNLP 2024 Small Language Model Can Self-Correct AAAI 2024 Small Models are Valuable Plug-ins for Large Language Models ACL 2024 SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models NeurIPS 2024 SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers EMNLP 2024 SRIB-NMT’s Submission to the Indic MT Shared Task in WMT 2024 EMNLP 2024 Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors ACL 2024 Stress-Testing Capability Elicitation With Password-Locked Models NeurIPS 2024