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 301310 of 1135 papers

TitleStatusHype
ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language ModelsCode1
Hybrid Alignment Training for Large Language ModelsCode1
IDA-Bench: Evaluating LLMs on Interactive Guided Data AnalysisCode1
A Survey on Data Selection for LLM Instruction TuningCode1
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMsCode1
Alexa Arena: A User-Centric Interactive Platform for Embodied AICode1
Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal ModelsCode1
BLEUBERI: BLEU is a surprisingly effective reward for instruction followingCode1
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source DataCode1
LoGU: Long-form Generation with Uncertainty ExpressionsCode1
Show:102550
← PrevPage 31 of 114Next →

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