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 401410 of 1135 papers

TitleStatusHype
Is In-Context Learning Sufficient for Instruction Following in LLMs?Code1
An In-depth Look at Gemini's Language AbilitiesCode1
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-TranslationCode1
INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval ModelsCode1
Bridging and Modeling Correlations in Pairwise Data for Direct Preference OptimizationCode1
CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal DissectionCode1
InstructTTSEval: Benchmarking Complex Natural-Language Instruction Following in Text-to-Speech SystemsCode1
Don't Reinvent the Wheel: Efficient Instruction-Following Text Embedding based on Guided Space TransformationCode1
Instruction-Tuning Data Synthesis from Scratch via Web ReconstructionCode1
InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset ConstructionCode1
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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