conftrace_

supervised fine-tuning

381 papers

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Also known as

SFT

Co-occurring keywords

large language model (13587) reinforcement learning (4352) direct preference optimization (332) reinforcement learning from human feedback (278) preference optimization (302) language model (4599) instruction tuning (838) chain-of-thought reasoning (551) knowledge distillation (3725) machine translation (2499)

Papers

Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation EMNLP 2024
Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis EMNLP 2024
Post-edits Are Preferences Too EMNLP 2024
Context-aware and Style-related Incremental Decoding Framework for Discourse-Level Literary Translation EMNLP 2024
IKUN for WMT24 General MT Task: LLMs Are Here for Multilingual Machine Translation EMNLP 2024
IOL Research Machine Translation Systems for WMT24 General Machine Translation Shared Task EMNLP 2024
Proofread: Fixes All Errors with One Tap ACL 2024
Chinchunmei at WASSA 2024 Empathy and Personality Shared Task: Boosting LLM’s Prediction with Role-play Augmentation and Contrastive Reasoning Calibration ACL 2024
UltraMedical: Building Specialized Generalists in Biomedicine NIPS 2024
ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences ACL 2024
Preference Ranking Optimization for Human Alignment AAAI 2024
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques ACL 2024
Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors ACL 2024
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition ACL 2024
DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation NIPS 2024
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models NIPS 2024
A Critical Evaluation of AI Feedback for Aligning Large Language Models NIPS 2024
Perplexity-aware Correction for Robust Alignment with Noisy Preferences NIPS 2024
The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models NIPS 2024
FLAME : Factuality-Aware Alignment for Large Language Models NIPS 2024
PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications NIPS 2024
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment NIPS 2024
LeDex: Training LLMs to Better Self-Debug and Explain Code NIPS 2024
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale NIPS 2024
Can Machines Resonate with Humans? Evaluating the Emotional and Empathic Comprehension of LMs EMNLP 2024