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 451–460 of 1135 papers

Title	Date	Tasks	Status	Score
Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning	Jun 12, 2025	Instruction FollowingMathematical Reasoning	CodeCode Available	5
ProgCo: Program Helps Self-Correction of Large Language Models	Jan 2, 2025	Instruction Following	CodeCode Available	5
PrimeGuard: Safe and Helpful LLMs through Tuning-Free Routing	Jul 23, 2024	In-Context LearningInstruction Following	CodeCode Available	5
DialMAT: Dialogue-Enabled Transformer with Moment-Based Adversarial Training	Nov 12, 2023	Instruction FollowingPosition	CodeCode Available	5
Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following	Jul 23, 2019	Instruction Following	CodeCode Available	5
Policy Improvement using Language Feedback Models	Feb 12, 2024	Behavioural cloningImitation Learning	CodeCode Available	5
POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization	Oct 16, 2024	Instruction Following	CodeCode Available	5
Being Strong Progressively! Enhancing Knowledge Distillation of Large Language Models through a Curriculum Learning Framework	Jun 6, 2025	Instruction FollowingKnowledge Distillation	CodeCode Available	5
IFShip: Interpretable Fine-grained Ship Classification with Domain Knowledge-Enhanced Vision-Language Models	Aug 13, 2024	ChatbotInstruction Following	CodeCode Available	5
Bayesian Calibration of Win Rate Estimation with LLM Evaluators	Nov 7, 2024	Bayesian InferenceInstruction Following	CodeCode Available	5

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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