SOTAVerified

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

Showing 471480 of 1135 papers

TitleStatusHype
Phased Instruction Fine-Tuning for Large Language ModelsCode0
Policy Improvement using Language Feedback ModelsCode0
Order Matters: Investigate the Position Bias in Multi-constraint Instruction FollowingCode0
Optimal Transport-Based Token Weighting scheme for Enhanced Preference OptimizationCode0
HREF: Human Response-Guided Evaluation of Instruction Following in Language ModelsCode0
How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text DetectionCode0
How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their VulnerabilitiesCode0
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning PerspectiveCode0
Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's NestCode0
CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing ConstraintsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88Unverified
3GPT-4Inst-level loose-accuracy85.37Unverified
4PaLM 2 SInst-level loose-accuracy59.11Unverified