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 441450 of 1135 papers

TitleStatusHype
Infer Human's Intentions Before Following Natural Language InstructionsCode1
Mitigating the Bias of Large Language Model EvaluationCode0
EventHallusion: Diagnosing Event Hallucinations in Video LLMsCode1
EAGLE: Towards Efficient Arbitrary Referring Visual Prompts Comprehension for Multimodal Large Language Models0
FMDLlama: Financial Misinformation Detection based on Large Language ModelsCode0
MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object ScenariosCode1
Style Outweighs Substance: Failure Modes of LLM Judges in Alignment BenchmarkingCode0
OmniBench: Towards The Future of Universal Omni-Language ModelsCode2
Archon: An Architecture Search Framework for Inference-Time TechniquesCode2
ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and FeedbackCode1
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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