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 511–520 of 1135 papers

TitleStatusHype
PrimeGuard: Safe and Helpful LLMs through Tuning-Free RoutingCode0
HAPFI: History-Aware Planning based on Fused Information—0
Failures to Find Transferable Image Jailbreaks Between Vision-Language Models—0
DISCO: Embodied Navigation and Interaction via Differentiable Scene Semantics and Dual-level ControlCode1
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities—0
EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote SensingCode1
NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language ModelsCode3
SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic FinetuningCode1
Situated Instruction Following—0
Qwen2-Audio Technical ReportCode7
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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