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conftrace_

supervised fine-tuning

484 papers

SFT

Papers

Hearing from Silence: Reasoning Audio Descriptions from Silent Videos via Vision-Language Model Interspeech 2025 How to Fine-Tune Safely on a Budget: Model Adaptation Using Minimal Resources EMNLP 2025 How to Train Long-Context Language Models (Effectively) ACL 2025 Improve LLM-as-a-Judge Ability as a General Ability EMNLP 2025 Improving MLLM’s Document Image Machine Translation via Synchronously Self-reviewing Its OCR Proficiency ACL 2025 Improving Named Entity Recognition for Low-Resource Languages Using Large Language Models: A Ukrainian Case Study ACL 2025 Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs EMNLP 2025 Improving Tool Retrieval by Leveraging Large Language Models for Query Generation COLING 2025 Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks ACL 2025 InstructionCP: A Simple yet Effective Approach for Transferring Large Language Models to Target Languages ACL 2025 Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs ICCV 2025 Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning ICLR 2025 Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process ACL 2025 InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes Under Herd Behavior ACL 2025 Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision ICLR 2025 Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment ICLR 2025 JOLT-SQL: Joint Loss Tuning of Text-to-SQL with Confusion-aware Noisy Schema Sampling EMNLP 2025 KaFT: Knowledge-aware Fine-tuning for Boosting LLMs’ Domain-specific Question-Answering Performance ACL 2025 KHU_LDI at BioLaySumm2025: Fine-tuning and Refinement for Lay Radiology Report Generation ACL 2025 Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models ICLR 2025 KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding ACL 2025 L3Ms — Lagrange Large Language Models ICLR 2025 LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents EMNLP 2025 Language Models Can Easily Learn to Reason from Demonstrations EMNLP 2025 LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models EMNLP 2025