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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