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

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Showing 281–290 of 1135 papers

TitleStatusHype
Language-Conditioned Reinforcement Learning to Solve Misunderstandings with Action CorrectionsCode1
Language Imbalance Driven Rewarding for Multilingual Self-improvingCode1
Combining Modular Skills in Multitask LearningCode1
Evaluating Large Language Models at Evaluating Instruction FollowingCode1
Lana: A Language-Capable Navigator for Instruction Following and GenerationCode1
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-TranslationCode1
Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form PlanningCode1
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language ModelsCode1
CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code GenerationCode1
ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language ModelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4—Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88—Unverified
3GPT-4Inst-level loose-accuracy85.37—Unverified
4PaLM 2 SInst-level loose-accuracy59.11—Unverified