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conftrace_

instruction fine-tuning

120 papers

IFT

Papers

YNU-HPCC at SemEval-2024 Task 7: Instruction Fine-tuning Models for Numerical Understanding and Generation SemEval 2024 2INER: Instructive and In-Context Learning on Few-Shot Named Entity Recognition EMNLP 2023 Automated Few-Shot Classification with Instruction-Finetuned Language Models EMNLP 2023 Background Summarization of Event Timelines EMNLP 2023 Beyond English: Evaluating LLMs for Arabic Grammatical Error Correction EMNLP 2023 Calvados at MEDIQA-Chat 2023: Improving Clinical Note Generation with Multi-Task Instruction Finetuning ACL 2023 DiscoFlan: Instruction Fine-tuning and Refined Text Generation for Discourse Relation Label Classification ACL 2023 Enhancing Chat Language Models by Scaling High-quality Instructional Conversations EMNLP 2023 GPT-2 Metadata Pretraining Towards Instruction Finetuning for Ukrainian EACL 2023 HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science EMNLP 2023 Knowledge-Augmented Language Model Verification EMNLP 2023 NUS-IDS at PragTag-2023: Improving Pragmatic Tagging of Peer Reviews through Unlabeled Data EMNLP 2023 One Embedder, Any Task: Instruction-Finetuned Text Embeddings ACL 2023 PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching EMNLP 2023 Resources and Few-shot Learners for In-context Learning in Slavic Languages EACL 2023 Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications EMNLP 2023 Saama AI Research at SemEval-2023 Task 7: Exploring the Capabilities of Flan-T5 for Multi-evidence Natural Language Inference in Clinical Trial Data SemEval 2023 Search Augmented Instruction Learning EMNLP 2023 Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness EMNLP 2023 Gaussian Process Models for Link Analysis and Transfer Learning NeurIPS 2007