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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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 341–350 of 1135 papers

Title	Date	Tasks	Status	Hype
F-Eval: Assessing Fundamental Abilities with Refined Evaluation Methods	Jan 26, 2024	Instruction Following	CodeCode Available	1
Self-Rewarding Language Models	Jan 18, 2024	Instruction FollowingLanguage Modeling	CodeCode Available	1
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation	Jan 12, 2024	Instruction FollowingTranslation	CodeCode Available	1
Benchmarking Large Language Models on Controllable Generation under Diversified Instructions	Jan 1, 2024	BenchmarkingInstruction Following	CodeCode Available	1
Jatmo: Prompt Injection Defense by Task-Specific Finetuning	Dec 29, 2023	Instruction Following	CodeCode Available	1
An In-depth Look at Gemini's Language Abilities	Dec 18, 2023	Instruction FollowingMath	CodeCode Available	1
M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts	Dec 17, 2023	Instruction Following	CodeCode Available	1
Creative Agents: Empowering Agents with Imagination for Creative Tasks	Dec 5, 2023	Instruction FollowingLanguage Modelling	CodeCode Available	1
Generative Parameter-Efficient Fine-Tuning	Dec 1, 2023	Arithmetic ReasoningFine-Grained Image Classification	CodeCode Available	1
SeaLLMs -- Large Language Models for Southeast Asia	Dec 1, 2023	Instruction Following	CodeCode Available	1

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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