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conftrace_

instruction tuning

923 papers

IT

Papers

OneLLM: One Framework to Align All Modalities with Language CVPR 2024 One-Shot Learning as Instruction Data Prospector for Large Language Models ACL 2024 On Training Data Influence of GPT Models EMNLP 2024 OpenChat: Advancing Open-source Language Models with Mixed-Quality Data ICLR 2024 Open (Clinical) LLMs are Sensitive to Instruction Phrasings ACL 2024 OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset NeurIPS 2024 OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs NAACL 2024 Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs EMNLP 2024 Optimizing Instruction Synthesis: Effective Exploration of Evolutionary Space with Tree Search EMNLP 2024 Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean COLING 2024 Outcome-Constrained Large Language Models for Countering Hate Speech EMNLP 2024 PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning ACL 2024 PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization ICLR 2024 Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling NAACL 2024 Parameter Efficient Instruction Tuning of LLMs for Financial Applications IJCAI 2024 Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks EMNLP 2024 Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models ACL 2024 PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain ACL 2024 Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs CVPR 2024 PlatoLM: Teaching LLMs in Multi-Round Dialogue via a User Simulator ACL 2024 PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA ACL 2024 Prompting Large Language Models with Audio for General-Purpose Speech Summarization Interspeech 2024 Psychometric Predictive Power of Large Language Models NAACL 2024 Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning ICLR 2024 Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models CVPR 2024