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 351360 of 1135 papers

TitleStatusHype
Hybrid Alignment Training for Large Language ModelsCode1
IDA-Bench: Evaluating LLMs on Interactive Guided Data AnalysisCode1
Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical MappingCode1
CB2: Collaborative Natural Language Interaction Research PlatformCode1
Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language ModelsCode1
CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code GenerationCode1
Engineering flexible machine learning systems by traversing functionally-invariant pathsCode1
MM-Instruct: Generated Visual Instructions for Large Multimodal Model AlignmentCode1
Are Emergent Abilities in Large Language Models just In-Context Learning?Code1
MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge DistillationCode1
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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