supervised fine-tuning

Context-aware and Style-related Incremental Decoding Framework for Discourse-Level Literary Translation EMNLP 2024 DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation NeurIPS 2024 Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction ACL 2024 Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? EMNLP 2024 Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models EMNLP 2024 Enhancing the General Agent Capabilities of Low-Paramter LLMs through Tuning and Multi-Branch Reasoning NAACL 2024 Enhancing Translation Accuracy of Large Language Models through Continual Pre-Training on Parallel Data ACL 2024 Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance EACL 2024 FLAME : Factuality-Aware Alignment for Large Language Models NeurIPS 2024 Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment NeurIPS 2024 HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM NAACL 2024 How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition ACL 2024 IKUN for WMT24 General MT Task: LLMs Are Here for Multilingual Machine Translation EMNLP 2024 Improving the Robustness of Large Language Models via Consistency Alignment COLING 2024 #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models ICLR 2024 IOL Research Machine Translation Systems for WMT24 General Machine Translation Shared Task EMNLP 2024 Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis EMNLP 2024 KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction EMNLP 2024 LeDex: Training LLMs to Better Self-Debug and Explain Code NeurIPS 2024 Leveraging Web-Crawled Data for High-Quality Fine-Tuning EMNLP 2024 LIONs: An Empirically Optimized Approach to Align Language Models EMNLP 2024 LongAlign: A Recipe for Long Context Alignment of Large Language Models EMNLP 2024 Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging EMNLP 2024 MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property COLING 2024 NCL_NLP at SemEval-2024 Task 7: CoT-NumHG: A CoT-Based SFT Training Strategy with Large Language Models for Number-Focused Headline Generation SemEval 2024