Instruction Following

Instruction following is the basic task of the model. This task is dedicated to evaluating the ability of the large model to follow human instructions. It is hoped that the model can generate controllable and safe answers.

Papers

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Showing 1021–1030 of 1135 papers

Title	Date	Tasks	Status
Localized Symbolic Knowledge Distillation for Visual Commonsense Models	Dec 8, 2023	Image DescriptionInstruction Following	CodeCode Available
Hierarchical Modular Framework for Long Horizon Instruction Following	Sep 29, 2021	Instruction FollowingNavigate	CodeCode Available
Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments	Jul 12, 2024	Instruction Followingreinforcement-learning	CodeCode Available
Aligners: Decoupling LLMs and Alignment	Mar 7, 2024	Instruction FollowingRed Teaming	CodeCode Available
AdaPPA: Adaptive Position Pre-Fill Jailbreak Attack Approach Targeting LLMs	Sep 11, 2024	Instruction FollowingPosition	CodeCode Available
Instruction Makes a Difference	Feb 1, 2024	HallucinationInstruction Following	CodeCode Available
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective	Oct 14, 2024	Density Ratio EstimationGSM8K	CodeCode Available
LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning	Oct 17, 2024	image-classificationImage Classification	CodeCode Available
Align^2LLaVA: Cascaded Human and Large Language Model Preference Alignment for Multi-modal Instruction Curation	Sep 27, 2024	Instruction FollowingLanguage Modeling	CodeCode Available
Automated curriculum generation for Policy Gradients from Demonstrations	Dec 1, 2019	Instruction Following	CodeCode Available

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	AutoIF (Llama3 70B)	Inst-level loose-accuracy	90.4	—	Unverified
2	AutoIF (Qwen2 72B)	Inst-level loose-accuracy	88	—	Unverified
3	GPT-4	Inst-level loose-accuracy	85.37	—	Unverified
4	PaLM 2 S	Inst-level loose-accuracy	59.11	—	Unverified