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 1121–1130 of 1135 papers

Title	Date	Tasks	Status
DialMAT: Dialogue-Enabled Transformer with Moment-Based Adversarial Training	Nov 12, 2023	Instruction FollowingPosition	CodeCode Available
Robust Multi-Objective Controlled Decoding of Large Language Models	Mar 11, 2025	Instruction Following	CodeCode Available
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca	Sep 16, 2023	Instruction FollowingLarge Language Model	CodeCode Available
Compositionality as Lexical Symmetry	Jan 30, 2022	Data AugmentationInductive Bias	CodeCode Available
Playpen: An Environment for Exploring Learning Through Conversational Interaction	Apr 11, 2025	Instruction FollowingLarge Language Model	CodeCode Available
RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following	Feb 17, 2025	Instruction FollowingMachine Reading Comprehension	CodeCode Available
LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios	Nov 11, 2024	Instruction Following	CodeCode Available
LIFEBench: Evaluating Length Instruction Following in Large Language Models	May 22, 2025	Instruction FollowingText Generation	CodeCode Available
Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction	May 22, 2024	Instruction Following	CodeCode Available
Being Strong Progressively! Enhancing Knowledge Distillation of Large Language Models through a Curriculum Learning Framework	Jun 6, 2025	Instruction FollowingKnowledge Distillation	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