conftrace_

selective fine-tuning

8 papers

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Co-occurring keywords · papers mentioning both

large language model (2) diffusion model (2) multilingual translation (2) machine translation (2) factual knowledge recall (1) token back-tracing (1) internal knowledge (1) context-aware generation (1) parameter-efficient method (1) massively multilingual model (1)

Papers

AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data CVPR 2025 QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning ICCV 2025 Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering EMNLP 2025 Tracing and Dissecting How LLMs Recall Factual Knowledge for Real World Questions ACL 2025 LANDeRMT: Dectecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation ACL 2024 On Surgical Fine-tuning for Language Encoders EMNLP 2023 ROSE: Robust Selective Fine-tuning for Pre-trained Language Models EMNLP 2022 The University of Maryland, College Park Submission to Large-Scale Multilingual Shared Task at WMT 2021 EMNLP 2021