instruction fine-tuning

When LLMs Struggle: Reference-less Translation Evaluation for Low-resource Languages COLING 2025 A Bayesian Approach to Data Point Selection NeurIPS 2024 Adapting Open-Source Generative Large Language Models for Low-Resource Languages: A Case Study for Turkish EMNLP 2024 AlpaGasus: Training a Better Alpaca with Fewer Data ICLR 2024 Analyzing Large Language Models’ Capability in Location Prediction COLING 2024 AvatarGPT: All-in-One Framework for Motion Understanding Planning Generation and Beyond CVPR 2024 Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning ACL 2024 Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model ACL 2024 Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs. EMNLP 2024 BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers EMNLP 2024 CodeM: Less Data Yields More Versatility via Ability Matrix ACL 2024 CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation EMNLP 2024 DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback CVPR 2024 Exploring Very Low-Resource Translation with LLMs: The University of Edinburgh’s Submission to AmericasNLP 2024 Translation Task NAACL 2024 FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversations SemEval 2024 FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models ACL 2024 From Instance Training to Instruction Learning: Task Adapters Generation from Instructions NeurIPS 2024 GAVx at SemEval-2024 Task 10: Emotion Flip Reasoning via Stacked Instruction Finetuning of LLMs SemEval 2024 G-DIG: Towards Gradient-based DIverse and hiGh-quality Instruction Data Selection for Machine Translation ACL 2024 GPT-SW3: An Autoregressive Language Model for the Scandinavian Languages COLING 2024 How Can Client Motivational Language Inform Psychotherapy Agents? EACL 2024 IgnitionInnovators at “Discharge Me!”: Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries ACL 2024 Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets EMNLP 2024 In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models EMNLP 2024 IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages ACL 2024