conftrace_

iterative fine-tuning

13 papers

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Co-occurring keywords · papers mentioning both

language model (5) knowledge distillation (3) large language model (2) neural machine translation (2) self-supervised learning (2) preference learning (2) autonomous data annotation (1) table task (1) generator validator (1) recursive introspection (1)

Papers

DRIFT: Difference-Aware Reinforcement Through Iterative Fine-Tuning for Language Model AAAI 2026 MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning AAAI 2026 Boundary-Conscious Pruning: Hard Set-Aware Model Compression for Efficient Speaker Recognition Interspeech 2025 Language Models as Continuous Self-Evolving Data Engineers EMNLP 2025 SAND: Boosting LLM Agents with Self-Taught Action Deliberation EMNLP 2025 Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning EMNLP 2025 LETI: Learning to Generate from Textual Interactions NAACL 2024 Recursive Introspection: Teaching Language Model Agents How to Self-Improve NeurIPS 2024 Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels NeurIPS 2024 TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models EMNLP 2024 The NiuTrans Machine Translation Systems for WMT21 EMNLP 2021 The NiuTrans Machine Translation Systems for WMT20 EMNLP 2020 The TALP-UPC System Description for WMT20 News Translation Task: Multilingual Adaptation for Low Resource MT EMNLP 2020