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conftrace_

supervised fine-tuning

484 papers

SFT

Papers

Think-Search-Patch: A Retrieval-Augmented Reasoning Framework for Repository-Level Code Repair EMNLP 2025 Think Wider, Detect Sharper: Reinforced Reference Coverage for Document-Level Self-Contradiction Detection EMNLP 2025 Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs NAACL 2025 Through the Valley: Path to Effective Long CoT Training for Small Language Models EMNLP 2025 TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use EMNLP 2025 ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis NAACL 2025 Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch EMNLP 2025 Towards Reliable Large Audio Language Model ACL 2025 Training Language Models to Critique With Multi-agent Feedback EMNLP 2025 Training Language Models to Self-Correct via Reinforcement Learning ICLR 2025 Training of LLM-Based List-Wise Multilingual Reranker EMNLP 2025 TRIDENT: Enhancing Large Language Model Safety with Tri-Dimensional Diversified Red-Teaming Data Synthesis ACL 2025 Troopers at BLP-2025 Task 2: Reward-Selective Fine-Tuning based Code Generation Approach for Bangla Prompts AACL 2025 TTPA: Token-level Tool-use Preference Alignment Training Framework with Fine-grained Evaluation EMNLP 2025 UMB@PerAnsSumm 2025: Enhancing Perspective-Aware Summarization with Prompt Optimization and Supervised Fine-Tuning NAACL 2025 Unfamiliar Finetuning Examples Control How Language Models Hallucinate NAACL 2025 Unilaw-R1: A Large Language Model for Legal Reasoning with Reinforcement Learning and Iterative Inference EMNLP 2025 Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs ICLR 2025 UTF: Under-trained Tokens as Fingerprints —— a Novel Approach to LLM Identification ACL 2025 UTSK25 at WAT2025 Patent Claims Translation/Evaluation Task AACL 2025 VCR: A “Cone of Experience” Driven Synthetic Data Generation Framework for Mathematical Reasoning AAAI 2025 VERITAS: Leveraging Vision Priors and Expert Fusion to Improve Multimodal Data EMNLP 2025 VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs EMNLP 2025 VisionArena: 230k Real World User-VLM Conversations with Preference Labels CVPR 2025 Visual Question Answering on Scientific Charts Using Fine-Tuned Vision-Language Models ACL 2025