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 241–250 of 1135 papers

TitleStatusHype
Language Imbalance Driven Rewarding for Multilingual Self-improvingCode1
Curiosity-Driven Reinforcement Learning from Human FeedbackCode1
AllenAct: A Framework for Embodied AI ResearchCode1
CrowdSelect: Synthetic Instruction Data Selection with Multi-LLM WisdomCode1
Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank AdaptationCode1
Cross-model Control: Improving Multiple Large Language Models in One-time TrainingCode1
Back to the Future: Towards Explainable Temporal Reasoning with Large Language ModelsCode1
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language ModelsCode1
Zero-Shot Compositional Policy Learning via Language GroundingCode1
Jatmo: Prompt Injection Defense by Task-Specific FinetuningCode1
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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