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 201–210 of 1135 papers

TitleStatusHype
NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language ModelsCode2
PandaGPT: One Model To Instruction-Follow Them AllCode2
ExpertPrompting: Instructing Large Language Models to be Distinguished ExpertsCode2
Lion: Adversarial Distillation of Proprietary Large Language ModelsCode2
Large Language Model Instruction Following: A Survey of Progresses and ChallengesCode2
Precise Zero-Shot Dense Retrieval without Relevance LabelsCode2
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and ActionCode2
The Replica Dataset: A Digital Replica of Indoor SpacesCode2
Habitat: A Platform for Embodied AI ResearchCode2
InstructTTSEval: Benchmarking Complex Natural-Language Instruction Following in Text-to-Speech SystemsCode1
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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