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 7180 of 1135 papers

TitleStatusHype
EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language ModelsCode3
NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language ModelsCode3
MultiModal-GPT: A Vision and Language Model for Dialogue with HumansCode3
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated LearningCode3
DistiLLM: Towards Streamlined Distillation for Large Language ModelsCode3
LongAlign: A Recipe for Long Context Alignment of Large Language ModelsCode3
LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech SynthesisCode3
Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical PerceptionCode3
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-AlignmentCode3
ASFT: Aligned Supervised Fine-Tuning through Absolute LikelihoodCode3
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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